37 results on '"Arlene Reynolds"'
Search Results
2. Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models.
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Colette Mair, Sema Nickbakhsh, Richard Reeve, Jim McMenamin, Arlene Reynolds, Rory N Gunson, Pablo R Murcia, and Louise Matthews
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Biology (General) ,QH301-705.5 - Abstract
It is well recognised that animal and plant pathogens form complex ecological communities of interacting organisms within their hosts, and there is growing interest in the health implications of such pathogen interactions. Although community ecology approaches have been used to identify pathogen interactions at the within-host scale, methodologies enabling robust identification of interactions from population-scale data such as that available from health authorities are lacking. To address this gap, we developed a statistical framework that jointly identifies interactions between multiple viruses from contemporaneous non-stationary infection time series. Our conceptual approach is derived from a Bayesian multivariate disease mapping framework. Importantly, our approach captures within- and between-year dependencies in infection risk while controlling for confounding factors such as seasonality, demographics and infection frequencies, allowing genuine pathogen interactions to be distinguished from simple correlations. We validated our framework using a broad range of synthetic data. We then applied it to diagnostic data available for five respiratory viruses co-circulating in a major urban population between 2005 and 2013: adenovirus, human coronavirus, human metapneumovirus, influenza B virus and respiratory syncytial virus. We found positive and negative covariances indicative of epidemiological interactions among specific virus pairs. This statistical framework enables a community ecology perspective to be applied to infectious disease epidemiology with important utility for public health planning and preparedness.
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- 2019
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3. Oseltamivir-Resistant Pandemic (H1N1) 2009 Virus Infection in England and Scotland, 2009–2010
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Laurence Calatayud, Angie Lackenby, Arlene Reynolds, Jim McMenamin, Nick F. Phin, Maria Zambon, and Richard G. Pebody
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swine-origin influenza A H1N1 virus ,subtype H1N1 ,virus ,antiviral drug resistance ,drug resistance ,antimicrobial resistance ,Medicine ,Infectious and parasitic diseases ,RC109-216 - Abstract
Oseltamivir has been widely used for pandemic (H1N1) 2009 virus infection, and by April 30, 2010, a total of 285 resistant cases were reported worldwide, including 45 in the United Kingdom. To determine risk factors for emergence of oseltamivir resistance and severe infection, a case–control study was conducted in the United Kingdom. Study participants were hospitalized in England or Scotland during January 4, 2009–April 30, 2010. Controls had confirmed oseltamivir-sensitive pandemic (H1N1) 2009 virus infections, and case-patients had confirmed oseltamivir-resistant infections. Of 28 case-patients with available information, 21 (75%) were immunocompromised; 31 of 33 case-patients (94%) received antiviral drugs before a sample was obtained. After adjusting for confounders, case-patients remained significantly more likely than controls to be immunocompromised and at higher risk for showing development of respiratory complications. Selective drug pressure likely explains the development of oseltamivir resistance, especially among immunocompromised patients. Monitoring of antiviral resistance is strongly recommended in this group.
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- 2011
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4. Uncovering Infant Group B Streptococcal (GBS) Disease Clusters in the United Kingdom and Ireland Through Genomic Analysis: A Population-based Epidemiological Study
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Baharak Afshar, Peter Lamb, Elita Jauneikaite, Sooria Balasegaram, Derren Ready, Robert Cunney, Eleri Davies, Paul T. Heath, Colin S Brown, Victoria Chalker, Diane S. J. Lindsay, Natalie Groves, Mary Meehan, Lorraine Doherty, Juliana Coelho, Shiranee Sriskandan, Darshana Patel, Androulla Efstratiou, Kirsty Le Doare, Arlene Reynolds, Simon M Collin, Theresa Lamagni, Andrew Smith, Catherine O'Sullivan, National Institute for Health Research, Medical Research Council (MRC), and Rosetrees Trust
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0301 basic medicine ,Microbiology (medical) ,medicine.medical_specialty ,Single-nucleotide polymorphism ,Ireland/epidemiology ,medicine.disease_cause ,Microbiology ,Group B ,Streptococcus agalactiae ,03 medical and health sciences ,0302 clinical medicine ,healthcare-associated infection ,Streptococcal Infections/epidemiology ,Streptococcal Infections ,Internal medicine ,Epidemiology ,Humans ,Medicine ,SNP ,030212 general & internal medicine ,cluster ,Index case ,11 Medical and Health Sciences ,Whole genome sequencing ,group B streptococcal disease ,whole genome sequencing ,United Kingdom/epidemiology ,business.industry ,Streptococcus agalactiae/genetics ,Infant ,Outbreak ,Genomics ,06 Biological Sciences ,United Kingdom ,Epidemiologic Studies ,Disease Hotspot ,030104 developmental biology ,Infectious Diseases ,business ,Ireland - Abstract
BackgroundThe true frequency of hospital outbreaks of invasive group B streptococcal (iGBS; Streptococcus agalactiae) disease in infants is unknown. We used whole genome sequencing (WGS) of iGBS isolates collected during a period of enhanced surveillance of infant iGBS disease in the UK and Ireland to determine the number of clustered cases.MethodsPotentially linked iGBS cases from infants with early (ResultsAnalysis of sequences indicated a cutoff of ≤5 SNP differences to define iGBS clusters. Among 410 infant iGBS isolates, we identified 7 clusters (4 genetically identical pairs with 0 SNP differences, 1 pair with 3 SNP differences, 1 cluster of 4 cases with ≤1 SNP differences) of which 4 clusters were uncovered for the first time. The clusters comprised 16 cases, of which 15 were late-onset (of 192 late-onset cases with sequenced isolates) and 1 an early-onset index case. Serial intervals between cases ranged from 0 to 59 (median 12) days.ConclusionsApproximately 1 in 12 late-onset infant iGBS cases were part of a hospital cluster. Over half of the clusters were previously undetected, emphasizing the importance of routine submission of iGBS isolates to reference laboratories for cluster identification and genomic confirmation.
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- 2020
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5. Community-Based Antibiotic Prescribing Attributable to Respiratory Syncytial Virus and Other Common Respiratory Viruses in Young Children: A Population-Based Time-series Study of Scottish Children
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William Malcolm, Jim McMenamin, Pia Hardelid, Arlene Reynolds, Tiffany Fitzpatrick, and Astrid Guttmann
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0301 basic medicine ,Microbiology (medical) ,medicine.medical_specialty ,medicine.drug_class ,viruses ,030106 microbiology ,Antibiotics ,Population ,Respiratory Syncytial Virus Infections ,medicine.disease_cause ,Virus ,03 medical and health sciences ,0302 clinical medicine ,Human metapneumovirus ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Medical prescription ,Child ,education ,Respiratory Tract Infections ,education.field_of_study ,Paramyxoviridae Infections ,biology ,business.industry ,Infant ,Amoxicillin ,biology.organism_classification ,Confidence interval ,Anti-Bacterial Agents ,Infectious Diseases ,Scotland ,Child, Preschool ,Respiratory Syncytial Virus, Human ,Metapneumovirus ,Rhinovirus ,business ,medicine.drug - Abstract
Background Inappropriate antibiotic prescribing, such as for viral illness, remains common in primary care. The objective of this study was to estimate the proportion of community-prescribed antibiotics to children aged less than 5 years attributable to common respiratory viruses. Methods We fitted time-series negative binomial models to predict weekly antibiotic prescribing rates from positive viral pathogen tests for the period 1 April 2009 through 27 December 2017 using comprehensive, population-based administrative data for all children ( Results We included data on 6 066 492 antibiotic prescriptions among 452 877 children. The antibiotic-prescribing rate among all Scottish children ( Conclusions Nearly 14% of antibiotics prescribed to children in this study were estimated to be attributable to common viruses for which antibiotics are not recommended. A future RSV vaccine could substantially reduce unnecessary antibiotic prescribing among children.
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- 2020
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6. Modelling the population effectiveness of the national seasonal influenza vaccination programme in Scotland: The impact of targeting all individuals aged 65 years and over
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Jim McMenamin, Charles Robertson, Stephen Corson, and Arlene Reynolds
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Pulmonary and Respiratory Medicine ,Male ,Epidemiology ,Population ,effectiveness ,population ,Childhood vaccination ,030312 virology ,Severity of Illness Index ,Seasonal influenza ,modelling ,03 medical and health sciences ,symbols.namesake ,Environmental health ,vaccine ,Influenza, Human ,medicine ,Flu season ,Humans ,Poisson regression ,education ,Vaccine Potency ,Aged ,Aged, 80 and over ,0303 health sciences ,COPD ,education.field_of_study ,Models, Statistical ,business.industry ,Immunization Programs ,Public Health, Environmental and Occupational Health ,Age Factors ,Original Articles ,medicine.disease ,Vaccination ,Hospitalization ,Pneumonia ,Infectious Diseases ,Scotland ,statistics ,Influenza Vaccines ,symbols ,Original Article ,Female ,business ,influenza - Abstract
Background: For the last 17 years, the UK has employed a routine influenza vaccination programme with the aim of reducing the spread of seasonal influenza. In mid-2000, the programme moved from a purely risk-based approach to a risk and age group targeted approach with all those aged 65+ years being included. To date, there has been no assessment of the population effectiveness of this age targeted policy in Scotland. Objectives: Statistical modelling techniques were used to determine what impact the routine vaccination of those aged 65+ years has had on influenza related morbidity and mortality in Scotland. Methods: Two Poisson regression models were developed using weekly counts of all-cause mortality, cause specific mortality and emergency hospitalisations for the period 1981 – 2012, one using week-in-year and the other using temperature to capture the seasonal variability in mortality/hospitalisations. These models were used to determine the number of excess deaths/hospitalisations associated with the introduction of the local risk and age-based vaccination programme in 2000. Results: Routinely vaccinating those aged 65+ years is associated with a reduction in excess allcause mortality, cardiovascular and COPD related mortality and COPD related hospitalisations. Our analysis suggests that using the week-in-year model, on average, 732 (95%CI 66 – 1,398) deaths from all-causes, 248 (95%CI 10 – 486) cardiovascular related deaths, 123 (95%CI 28 – 218) COPD related deaths, and 425 (95%CI 258 – 592) COPD related hospitalisations have been prevented each flu season among the those aged 65+. Similar results were found using the temperature model. There was no evidence to suggest that the change in policy was associated with reductions in influenza/pneumonia related mortality or influenza/cardiovascular related hospitalisations. Conclusions: Routinely vaccinating those aged 65+ years appears to have reduced influenza related morbidity and mortality in Scotland. With the childhood vaccination programme well underway, these data provide an importance benchmark which can be used to accurately assess the impact of this new seasonal influenza vaccination programme.
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- 2019
7. End of season influenza vaccine effectiveness in primary care in adults and children in the United Kingdom in 2018/19
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Simon Cottrell, Katie Owens, Chris Robertson, Diogo F P Marques, Heather Whitaker, Jim McMenamin, Simon de Lusignan, Ivelina Yonova, Monica Galiano, Mark O'Doherty, Angie Lackenby, Arlene Reynolds, Joanna Ellis, Nick Andrews, Catherine Moore, Richard Pebody, Jillian Johnston, Matthew Donati, Catherine Thompson, Rory Gunson, Maria Zambon, and Samantha J. Shepherd
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Adult ,Male ,RM ,medicine.medical_specialty ,Adolescent ,Influenza vaccine ,Primary care ,Young Adult ,03 medical and health sciences ,Influenza A Virus, H1N1 Subtype ,0302 clinical medicine ,030225 pediatrics ,Internal medicine ,Influenza, Human ,medicine ,Humans ,Live attenuated influenza vaccine ,030212 general & internal medicine ,Child ,QA ,Vaccine Potency ,Aged ,Primary Health Care ,General Veterinary ,General Immunology and Microbiology ,Influenza A Virus, H3N2 Subtype ,Infant, Newborn ,Public Health, Environmental and Occupational Health ,Infant ,virus diseases ,Influenza a ,Middle Aged ,United Kingdom ,Vaccination ,Treatment Outcome ,Infectious Diseases ,Negative case ,Influenza Vaccines ,Child, Preschool ,QR180 ,Molecular Medicine ,Female ,Seasons ,Control methods - Abstract
2018/19 was the first season of introduction of a newly licensed adjuvanted influenza vaccine (aTIV) for adults aged 65 years and over and the sixth season in the roll-out of a childhood influenza vaccination programme with a quadrivalent live attenuated influenza vaccine (LAIV). The season saw mainly A(H1N1)pdm09 and latterly A(H3N2) circulation. End-of-season adjusted vaccine effectiveness (aVE) estimates against laboratory confirmed influenza infection in primary care were calculated using the test negative case control method adjusting for key confounders. End-of-season aVE was 44.3% (95% CI: 26.8, 57.7) against all laboratory-confirmed influenza; 45.7% (95% CI: 26.0, 60.1) against influenza A(H1N1)pdm09 and 35.1% (95% CI: −3.7,59.3) against A(H3N2). Overall aVE was 49.9% (95%CI: −13.7, 77.9) for all those ≥ 65 years of age and 62.0% (95% CI: 3.4, 85.0) for those who received aTIV. Overall aVE for 2–17 year olds receiving LAIV was 48.6% (95% CI: −4.4, 74.7). The paper provides evidence of overall significant influenza VE in 2018/19, most notably against influenza A(H1N1)pdm09, however, as seen in 2017/18, there was reduced, non-significant VE against A(H3N2). aTIV provided significant protection for those 65 years of age and over.
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- 2020
8. Implementation of the United Kingdom's childhood influenza national vaccination programme: A review of clinical impact and lessons learned over six influenza seasons
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Pauline MacDonald, Ivan Aloysius, Arlene Reynolds, and George Kassianos
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medicine.medical_specialty ,Adolescent ,Northern Ireland ,03 medical and health sciences ,0302 clinical medicine ,030225 pediatrics ,Influenza, Human ,medicine ,Humans ,030212 general & internal medicine ,Child ,Aged ,Wales ,General Veterinary ,General Immunology and Microbiology ,business.industry ,Vaccination ,Public Health, Environmental and Occupational Health ,virus diseases ,Infectious Diseases ,England ,Scotland ,Influenza Vaccines ,Family medicine ,Child, Preschool ,General practice ,Molecular Medicine ,Seasons ,business - Abstract
In 2012, the Joint Committee on Vaccination and Immunisation recommended that the United Kingdom's (UK) National Vaccination Programme (NVP) for influenza was extended to include healthy children and adolescents aged 2 to17 years. Previously, the UK's NVP focused on seasonal vaccination of the elderly and people (including children) with underlying health conditions that put them at high risk of hospitalisation if they contracted influenza. The extension of the UK's programme began in the 2013/14 influenza season through the vaccination of children aged 2-3 years in primary care across England and the devolved administrations of Scotland, Wales, and Northern Ireland. School-aged children were generally vaccinated in a school setting, with several implementation pilots in England and Scotland. Due to the scale of the programme, it has been phased in over several years and expanded to include broader childhood age groups. This article reviews the experiences from the implementation of the UK's childhood influenza NVP over the first six influenza seasons (between 2013/14 and 2018/19) from the perspectives of England, Scotland, Wales, and Northern Ireland. The processes used to deliver the vaccination programme in general practice and the school-based setting are described in terms of governance, contracting, workforce management, communication, administrative tasks, vaccination sessions, vaccine supply and distribution, and surveillance. In addition, the available evidence regarding the clinical impact of the UK's childhood influenza NVP over the first six influenza seasons is reviewed. We also share lessons learned from the programme and recommendations to provide guidance to other countries looking to implement childhood influenza vaccination programmes.
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- 2020
9. Genome sequence analysis of emm89 Streptococcus pyogenes strains causing infections in Scotland, 2010–2016
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Stephen B. Beres, Arlene Reynolds, James M. Musser, Diane S. J. Lindsay, Randall J. Olsen, Matthew Ojeda Saavedra, Andrew Smith, and Roisin Ure
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0301 basic medicine ,Microbiology (medical) ,DNA, Bacterial ,Lineage (genetic) ,population genomics ,Streptococcus pyogenes ,Population ,population ,Biology ,medicine.disease_cause ,Microbiology ,Genome ,Population genomics ,03 medical and health sciences ,Bacterial Proteins ,Streptococcal Infections ,medicine ,Humans ,education ,Clade ,Retrospective Studies ,Whole genome sequencing ,Genetics ,education.field_of_study ,Molecular Epidemiology ,Molecular epidemiology ,General Medicine ,Microbial Epidemiology ,Sequence Analysis, DNA ,030104 developmental biology ,Scotland ,Genome, Bacterial ,Research Article - Abstract
PurposeStrains of type emm89 Streptococcus pyogenes have recently increased in frequency as a cause of human infections in several countries in Europe and North America. This increase has been molecular epidemiologically linked with the emergence of a new genetically distinct clone, designated clade 3. We sought to extend our understanding of this epidemic behavior by the genetic characterization of type emm89 strains responsible in recent years for an increased frequency of infections in Scotland.MethodologyWe sequenced the genomes of a retrospective cohort of 122 emm89 strains recovered from patients with invasive and noninvasive infections throughout Scotland during 2010 to 2016.ResultsAll but one of the 122 emm89 infection isolates are of the recently emerged epidemic clade 3 clonal lineage. The Scotland isolates are closely related to and not genetically distinct from recent emm89 strains from England, they constitute a single genetic population.ConclusionsThe clade 3 clone causes virtually all-contemporary emm89 infections in Scotland. These findings add Scotland to a growing list of countries of Europe and North America where, by whole genome sequencing, emm89 clade 3 strains have been demonstrated to be the cause of an ongoing epidemic of invasive infections and to be genetically related due to descent from a recent common progenitor.
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- 2017
10. The experience of point-of-care testing for influenza in Scotland in 2017/18 and 2018/19 – no gain without pain
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Michael Coyne, E. Dickson, Annette Little, Diogo F P Marques, David L. Yirrell, Arlene Reynolds, Kirsty Mangin, Sandra Currie, and Jim McMenamin
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Surveillance ,Epidemiology ,business.industry ,Point-of-care testing ,Public Health, Environmental and Occupational Health ,Retrospective cohort study ,medicine.disease ,Influenza ,Patient management ,Management information systems ,point-of-care testing ,Scotland ,Virology ,Hospital admission ,Influenza, Human ,medicine ,Humans ,Electronic communication ,national surveillance ,Public Health Surveillance ,Medical emergency ,Seasons ,business ,patient management ,Retrospective Studies - Abstract
Background During the 2017/18 and 2018/19 influenza seasons, molecular amplification-based point-of-care tests (mPOCT) were introduced in Scotland to aid triaging respiratory patients for hospital admission, yet communication of results to national surveillance was unaccounted for. Aim This retrospective study aims to describe steps taken to capture mPOCT data and assess impact on influenza surveillance. Methods Questionnaires determined mPOCT usage in 2017/18 and 2018/19. Searches of the Electronic Communication of Surveillance in Scotland (ECOSS) database were performed and compared with information stored in laboratory information management systems. Effect of incomplete data on surveillance was determined by comparing routine against enhanced data and assessing changes in influenza activity levels determined by the moving epidemic method. Results The number of areas employing mPOCT increased over the two seasons (6/14 in 2017/18 and 8/14 in 2018/19). Analysis of a small number of areas (n = 3) showed capture of positive mPOCT results in ECOSS improved between seasons and remained high (> 94%). However, capture of negative results was incomplete. Despite small discrepancies in weekly activity assessments, routine data were able to identify trend, start, peak and end of both influenza seasons. Conclusion This study has shown an improvement in capture of data from influenza mPOCT and has highlighted issues that need to be addressed for results to be accurately captured in national surveillance. With the clear benefit to patient management we suggest careful consideration should be given to the connectivity aspects of the technology in order to ensure minimal impact on national surveillance.
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- 2020
11. Virus-virus interactions impact the population dynamics of influenza and the common cold
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Beatrix von Wissmann, Arlene Reynolds, Sema Nickbakhsh, Rory Gunson, Richard Reeve, Colette Mair, Pablo R. Murcia, James McMenamin, Paul C. D. Johnson, Fiona Thorburn, and Louise Matthews
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0301 basic medicine ,Population ,Disease ,Biology ,medicine.disease_cause ,Virus ,03 medical and health sciences ,0302 clinical medicine ,Immunity ,medicine ,030212 general & internal medicine ,Letters ,education ,Genetics ,education.field_of_study ,Multidisciplinary ,Innate immune system ,Population Biology ,Common cold ,Biological Sciences ,medicine.disease ,virology ,3. Good health ,030104 developmental biology ,medicine.anatomical_structure ,PNAS Plus ,epidemiology ,ecology ,Rhinovirus ,Respiratory tract - Abstract
Significance When multiple pathogens cocirculate this can lead to competitive or cooperative forms of pathogen–pathogen interactions. It is believed that such interactions occur among cold and flu viruses, perhaps through broad-acting immunity, resulting in interlinked epidemiological patterns of infection. However, to date, quantitative evidence has been limited. We analyzed a large collection of diagnostic reports collected over multiple years for 11 respiratory viruses. Our analyses provide strong statistical support for the existence of interactions among respiratory viruses. Using computer simulations, we found that very short-lived interferences may explain why common cold infections are less frequent during flu seasons. Improved understanding of how the epidemiology of viral infections is interlinked can help improve disease forecasting and evaluation of disease control interventions., The human respiratory tract hosts a diverse community of cocirculating viruses that are responsible for acute respiratory infections. This shared niche provides the opportunity for virus–virus interactions which have the potential to affect individual infection risks and in turn influence dynamics of infection at population scales. However, quantitative evidence for interactions has lacked suitable data and appropriate analytical tools. Here, we expose and quantify interactions among respiratory viruses using bespoke analyses of infection time series at the population scale and coinfections at the individual host scale. We analyzed diagnostic data from 44,230 cases of respiratory illness that were tested for 11 taxonomically broad groups of respiratory viruses over 9 y. Key to our analyses was accounting for alternative drivers of correlated infection frequency, such as age and seasonal dependencies in infection risk, allowing us to obtain strong support for the existence of negative interactions between influenza and noninfluenza viruses and positive interactions among noninfluenza viruses. In mathematical simulations that mimic 2-pathogen dynamics, we show that transient immune-mediated interference can cause a relatively ubiquitous common cold-like virus to diminish during peak activity of a seasonal virus, supporting the potential role of innate immunity in driving the asynchronous circulation of influenza A and rhinovirus. These findings have important implications for understanding the linked epidemiological dynamics of viral respiratory infections, an important step towards improved accuracy of disease forecasting models and evaluation of disease control interventions.
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- 2019
12. End-of-season influenza vaccine effectiveness in adults and children, United Kingdom, 2016/17
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Alison Potts, Simon Cottrell, Catherine Thompson, Maria Zambon, Monica Galiano, Fiona Warburton, Richard Pebody, Simon de Lusignan, Nick Andrews, Ivelina Yonova, Catherine Moore, Joanna Ellis, Chris Robertson, Arlene Reynolds, Jim McMenamin, Rory Gunson, Naomh Gallagher, Mary Sinnathamby, Ana Correa, and Muhammad Sartaj
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Male ,0301 basic medicine ,Epidemiology ,medicine.disease_cause ,Disease Outbreaks ,0302 clinical medicine ,RA0421 ,Outcome Assessment, Health Care ,Influenza A virus ,Live attenuated influenza vaccine ,030212 general & internal medicine ,Young adult ,Child ,Aged, 80 and over ,Reverse Transcriptase Polymerase Chain Reaction ,Vaccination ,vaccines and immunization, vaccine effectiveness ,Middle Aged ,Infectious Diseases ,Influenza Vaccines ,Child, Preschool ,Population Surveillance ,QR180 ,VIRUS ,Female ,Life Sciences & Biomedicine ,A(H3N2) ,Research Article ,Adult ,Adolescent ,Influenza vaccine ,Vaccines, Attenuated ,Sensitivity and Specificity ,DECREASED EFFECTIVENESS ,A(H1N1) PDM09 STRAIN ,Young Adult ,03 medical and health sciences ,Virology ,Influenza, Human ,medicine ,Humans ,Vaccine Potency ,LAIV ,Aged ,Science & Technology ,Primary Health Care ,Immunization Programs ,business.industry ,Public Health, Environmental and Occupational Health ,Infant ,Outbreak ,influenza-like illness - ILI ,United Kingdom ,Influenza ,Confidence interval ,Influenza B virus ,030104 developmental biology ,STATES ,CANADA ,Case-Control Studies ,Immunology ,Influenza virus ,business ,Sentinel Surveillance ,Demography - Abstract
Introduction The United Kingdom is in the fourth season of introducing a universal childhood influenza vaccine programme. The 2016/17 season saw early influenza A(H3N2) virus circulation with care home outbreaks and increased excess mortality particularly in those 65 years or older. Virus characterisation data indicated emergence of genetic clusters within the A(H3N2) 3C.2a group which the 2016/17 vaccine strain belonged to. Methods: The test-negative case–control (TNCC) design was used to estimate vaccine effectiveness (VE) against laboratory confirmed influenza in primary care. Results: Adjusted end-of-season vaccine effectiveness (aVE) estimates were 39.8% (95% confidence interval (CI): 23.1 to 52.8) against all influenza and 40.6% (95% CI: 19.0 to 56.3) in 18–64-year-olds, but no significant aVE in ≥ 65-year-olds. aVE was 65.8% (95% CI: 30.3 to 83.2) for 2–17-year-olds receiving quadrivalent live attenuated influenza vaccine. Discussion: The findings continue to provide support for the ongoing roll-out of the paediatric vaccine programme, with a need for ongoing evaluation. The importance of effective interventions to protect the ≥ 65-year-olds remains.
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- 2019
13. End of season influenza vaccine effectiveness in adults and children in the United Kingdom in 2017/18
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Ivelina Yonova, Catherine Moore, Katja Hoschler, Simon de Lusignan, Mark O'Doherty, Arlene Reynolds, Diogo F P Marques, Nikolaos Panagiotopoulos, Joanna Ellis, Nick Andrews, Maria Zambon, Angie Lackenby, Samantha J. Shepherd, Abdelmajid Djennad, Matthew Donati, Monica Galiano, Mary Sinnathamby, Richard Pebody, Muhammad Sartaj, Simon Cottrell, Jim McMenamin, Chris Robertson, Rory Gunson, and Rebecca Webb
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Male ,0301 basic medicine ,Epidemiology ,Prevalence ,Disease Outbreaks ,Influenza A Virus, H1N1 Subtype ,0302 clinical medicine ,Seroepidemiologic Studies ,influenza vaccine effectiveness ,Live attenuated influenza vaccine ,030212 general & internal medicine ,Child ,QA ,education.field_of_study ,virus diseases ,Middle Aged ,3. Good health ,Child, Preschool ,Population Surveillance ,Female ,Seasons ,Adult ,medicine.medical_specialty ,Adolescent ,Influenza vaccine ,Population ,Vaccines, Attenuated ,Virus ,Young Adult ,03 medical and health sciences ,Virology ,Internal medicine ,Influenza, Human ,medicine ,Humans ,Seroprevalence ,education ,Aged ,QR355 ,Primary Health Care ,Research ,Influenza A Virus, H3N2 Subtype ,Infant, Newborn ,Public Health, Environmental and Occupational Health ,Infant ,United Kingdom ,Confidence interval ,Influenza B virus ,030104 developmental biology ,Vaccines, Inactivated ,Case-Control Studies ,Inactivated vaccine ,Sentinel Surveillance - Abstract
Background In the United Kingdom (UK), in recent influenza seasons, children are offered a quadrivalent live attenuated influenza vaccine (LAIV4), and eligible adults mainly trivalent inactivated vaccine (TIV). Aim To estimate the UK end-of-season 2017/18 adjusted vaccine effectiveness (aVE) and the seroprevalence in England of antibodies against influenza viruses cultured in eggs or tissue. Methods This observational study employed the test-negative case–control approach to estimate aVE in primary care. The population-based seroprevalence survey used residual age-stratified samples. Results Influenza viruses A(H3N2) (particularly subgroup 3C.2a2) and B (mainly B/Yamagata/16/88-lineage, similar to the quadrivalent vaccine B-virus component but mismatched to TIV) dominated. All-age aVE was 15% (95% confidence interval (CI): −6.3 to 32) against all influenza; −16.4% (95% CI: −59.3 to 14.9) against A(H3N2); 24.7% (95% CI: 1.1 to 42.7) against B and 66.3% (95% CI: 33.4 to 82.9) against A(H1N1)pdm09. For 2–17 year olds, LAIV4 aVE was 26.9% (95% CI: −32.6 to 59.7) against all influenza; −75.5% (95% CI: −289.6 to 21) against A(H3N2); 60.8% (95% CI: 8.2 to 83.3) against B and 90.3% (95% CI: 16.4 to 98.9) against A(H1N1)pdm09. For ≥ 18 year olds, TIV aVE against influenza B was 1.9% (95% CI: −63.6 to 41.2). The 2017 seroprevalence of antibody recognising tissue-grown A(H3N2) virus was significantly lower than that recognising egg-grown virus in all groups except 15–24 year olds. Conclusions Overall aVE was low driven by no effectiveness against A(H3N2) possibly related to vaccine virus egg-adaption and a new A(H3N2) subgroup emergence. The TIV was not effective against influenza B. LAIV4 against influenza B and A(H1N1)pdm09 was effective.
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- 2019
14. European all-cause excess and influenza-attributable mortality in the 2017/18 season: should the burden of influenza B be reconsidered?
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Anne Fouillet, Cornelia Adlhoch, A. de Martino, Nick Andrews, Ragnhild Tønnessen, L. Van Asten, Arlene Reynolds, M. Ma de Lange, S. P. da Silva, Ana Paula Rodrigues, Ramona Trebbien, Helmut Uphoff, Clara Mazagatos, AnnaSara Carnahan, Jens Nielsen, Kassiani Gkolfinopoulou, Gleb Denissov, Jackie M. Melillo, Mary Sinnathamby, Daniela Schmid, Richard A. White, Richard Pebody, Tommi Asikainen, Anna Páldy, Tyra Grove Krause, M. J. Virtanen, Joël Mossong, Kåre Mølbak, Lasse S Vestergaard, Matteo Scortichini, Caroline Brown, Ahmed Farah, Christoph Junker, Lisa Domegan, Jim McMenamin, János Bobvos, L. Grabenhenrich, Lutz Richter, M an der Heiden, Kathleen England, Kaire Innos, Theodore Lytras, Natalia Bustos, Joan O'Donnell, Amparo Larrauri, and Pasi Penttinen
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0301 basic medicine ,Microbiology (medical) ,Adult ,Male ,Adolescent ,030106 microbiology ,Population ,FluMOMO ,Older population ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,VDM ,Influenza, Human ,Medicine ,Attributable mortality ,Humans ,030212 general & internal medicine ,ddc:610 ,Mortality ,education ,Child ,Aged ,Excess mortality ,Aged, 80 and over ,education.field_of_study ,business.industry ,High mortality ,Age Factors ,Infant, Newborn ,General Medicine ,European population ,Middle Aged ,Estados de Saúde e de Doença ,Influenza ,Europe ,Influenza B virus ,Infectious Diseases ,Child, Preschool ,Mortalidade ,Female ,Winter season ,business ,610 Medizin und Gesundheit ,All cause mortality ,B/Yamagata ,EuroMOMO ,Demography - Abstract
Objectives: Weekly monitoring of European all-cause excess mortality, the EuroMOMO network, observed high excess mortality during the influenza B/Yamagata dominated 2017/18 winter season, especially among elderly. We describe all-cause excess and influenza-attributable mortality during the season 2017/18 in Europe. Methods: Based on weekly reporting of mortality from 24 European countries or sub-national regions, representing 60% of the European population excluding the Russian and Turkish parts of Europe, we estimated age stratified all-cause excess morality using the EuroMOMO model. In addition, age stratified all-cause influenza-attributable mortality was estimated using the FluMOMO algorithm, incorporating influenza activity based on clinical and virological surveillance data, and adjusting for extreme temperatures. Results: Excess mortality was mainly attributable to influenza activity from December 2017 to April 2018, but also due to exceptionally low temperatures in February-March 2018. The pattern and extent of mortality excess was similar to the previous A(H3N2) dominated seasons, 2014/15 and 2016/17. The 2017/18 overall all-cause influenza-attributable mortality was estimated to be 25.4 (95%CI 25.0-25.8) per 100,000 population; 118.2 (116.4-119.9) for persons aged 65. Extending to the European population this translates into over-all 152,000 deaths. Conclusions: The high mortality among elderly was unexpected in an influenza B dominated season, which commonly are considered to cause mild illness, mainly among children. Even though A(H3N2) also circulated in the 2017/18 season and may have contributed to the excess mortality among the elderly, the common perception of influenza B only having a modest impact on excess mortality in the older population may need to be reconsidered. info:eu-repo/semantics/publishedVersion
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- 2019
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15. Uptake and effectiveness of influenza vaccine in those aged 65 years and older in the United Kingdom, influenza seasons 2010/11 to 2016/17
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Ivelina Yonova, Jim McMenamin, Joanna Ellis, Simon de Lusignan, Chris Robertson, Richard Pebody, Muhammad Sartaj, Rory Gunson, Fiona Warburton, Maria Zambon, Nick Andrews, Arlene Reynolds, Simon Cottrell, Mary Sinnathamby, Matthew Donati, and Catherine Moore
- Subjects
Male ,0301 basic medicine ,Epidemiology ,ENGLAND ,Seasonal influenza ,Influenza A Virus, H1N1 Subtype ,0302 clinical medicine ,DESIGN ,RA0421 ,Outcome Assessment, Health Care ,030212 general & internal medicine ,Aged, 80 and over ,Vaccination ,immunisation ,virus diseases ,Infectious Diseases ,Influenza Vaccines ,Population Surveillance ,Cohort ,Female ,Seasons ,influenza ,Life Sciences & Biomedicine ,Research Article ,medicine.medical_specialty ,DEATHS ,Influenza vaccine ,VIRUSES ,viral infections ,030106 microbiology ,Primary care ,03 medical and health sciences ,vaccine uptake and effectiveness ,EPIDEMIC ,Virology ,Internal medicine ,Influenza, Human ,medicine ,Humans ,Vaccine Potency ,METAANALYSIS ,Aged ,Science & Technology ,business.industry ,Influenza A Virus, H3N2 Subtype ,Public Health, Environmental and Occupational Health ,Influenza a ,ADULTS ,EFFICACY ,United Kingdom ,Influenza B virus ,Immunization ,Disease prevention ,business ,Sentinel Surveillance - Abstract
Background In 2016/17, seasonal influenza vaccine was less effective in those aged 65 years and older in the United Kingdom. We describe the uptake, influenza-associated mortality and adjusted vaccine effectiveness (aVE) in this age group over influenza seasons 2010/11–2016/17. Methods: Vaccine uptake in 2016/17 and five previous seasons were measured using a sentinel general practitioners cohort in England; the test-negative case-control design was used to estimate pooled aVE by subtype and age group against laboratory-confirmed influenza in primary care from 2010–2017. Results: Vaccine uptake was 64% in 65–69-year-olds, 74% in 70–74-year-olds and 80% in those aged 75 and older. Overall aVE was 32.5% (95% CI: 11.6 to 48.5); aVE by sub-type was 60.8% (95% CI: 33.9 to 76.7) and 50.0% (95% CI: 21.6 to 68.1) against influenza A(H1N1)pdm09 and influenza B, respectively, but only 5.6% (95% CI: - 39.2 to 35.9) against A(H3N2). Against all laboratory-confirmed influenza aVE was 45.2% (95% CI: 25.1 to 60.0) in 65–74 year olds; - 26.2% (95% CI: - 149.3 to 36.0) in 75–84 year olds and - 3.2% (95% CI: - 237.8 to 68.5) in those aged 85 years and older. Influenza-attributable mortality was highest in seasons dominated by A(H3N2). Conclusions: Vaccine uptake with non-adjuvanted, normal-dose vaccines remained high, with evidence of effectiveness against influenza A(H1N1)pdm09 and B, though poor against A(H3N2), particularly in those aged 75 years and older. Forthcoming availability of newly licensed vaccines with wider use of antivirals can potentially further improve prevention and control of influenza in this group.
- Published
- 2018
16. Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date
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Alison Potts, Diogo F P Marques, Ross L. Cameron, Naoma William, Chris Robertson, Jim McMenamin, Beatrix von Wissmann, Josephine L K Murray, Arlene Reynolds, and Jennifer Bishop
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0301 basic medicine ,medicine.medical_specialty ,viral infections ,030106 microbiology ,Prevalence ,sentinel surveillance ,Influenza season ,influenza virus ,Seasonal influenza ,modelling ,03 medical and health sciences ,0302 clinical medicine ,RA0421 ,Virology ,Health care ,Epidemiology ,Influenza, Human ,medicine ,Humans ,030212 general & internal medicine ,Epidemics ,Community resilience ,business.industry ,Influenza A Virus, H3N2 Subtype ,Public Health, Environmental and Occupational Health ,virus diseases ,Influenza a ,Patient Acceptance of Health Care ,Geography ,Scotland ,statistics ,Current season ,Population Surveillance ,embryonic structures ,epidemiology ,Public Health ,Seasons ,business ,influenza ,laboratory ,Rapid Communication ,laboratory surveillance ,policy ,Forecasting - Abstract
Scotland observed an unusual influenza A(H3N2)-\ud dominated 2017/18 influenza season with healthcare\ud services under significant pressure. We report the\ud application of the moving epidemic method (MEM) to\ud virology data as a tool to predict the influenza peak\ud activity period and peak week of swab positivity in the\ud current season. This novel MEM application has been\ud successful locally and is believed to be of potential use\ud to other countries for healthcare planning and building\ud wider community resilience.
- Published
- 2018
17. Excess all-cause and influenza-attributable mortality in Europe, December 2016 to February 2017
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Annamaria De Martino, M. J. Virtanen, Richard A. White, Theodore Lytras, Katrien Tersago, Cornelia Adlhoch, Pasi Penttinen, Ragnhild Tønnessen, Kåre Mølbak, Ana Paula Rodrigues, Matteo Scortichini, Arlene Reynolds, Neville Calleja, Mary Sinnathamby, Richard Pebody, Jens Nielsen, Jennifer Bishop, János Bobvos, Diane Gross, Anne Fouillet, Inmaculada León, Teirlinck Ac, Liselotte van Asten, Lasse S Vestergaard, Christoph Junker, Natalia Bustos Sierra, Kaire Innos, Tyra Grove Krause, Susana Silva, Kathleen England, Joan O'Donnell, Laura Espenhain, Amparo Larrauri, Anna Páldy, Lisa Domegan, Gleb Denissov, and Ahmed Farah
- Subjects
0301 basic medicine ,Adult ,Male ,Adolescent ,Epidemiology ,030106 microbiology ,Influenza season ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Virology ,Cause of Death ,Influenza, Human ,Influenza virus A(H3N2) ,Attributable mortality ,Humans ,030212 general & internal medicine ,Mortality ,Child ,Cold weather ,Cause of death ,Aged ,Excess mortality ,Surveillance ,Public Health, Environmental and Occupational Health ,Infant, Newborn ,influenza virus A(H3N2) ,Infant ,virus diseases ,Influenza a ,Middle Aged ,Estados de Saúde e de Doença ,Infant newborn ,Influenza ,Europe ,Geography ,Child, Preschool ,surveillance ,Female ,Public Health ,Seasons ,influenza ,Sentinel Surveillance ,Rapid Communication ,EuroMOMO ,All cause mortality ,Demography - Abstract
Since December 2016, excess all-cause mortality was observed in many European countries, especially among people aged ≥ 65 years. We estimated all-cause and influenza-attributable mortality in 19 European countries/regions. Excess mortality was primarily explained by circulation of influenza virus A(H3N2). Cold weather snaps contributed in some countries. The pattern was similar to the last major influenza A(H3N2) season in 2014/15 in Europe, although starting earlier in line with the early influenza season start. info:eu-repo/semantics/publishedVersion
- Published
- 2017
18. Group B streptococcal disease in UK and Irish infants younger than 90 days, 2014-15: a prospective surveillance study
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Ruth Campbell, Margaret Boyle, Christine E. Jones, Robert Cunney, Shamez N Ladhani, Lorraine Doherty, Paul T. Heath, Diane S. J. Lindsay, Mary Meehan, Theresa Lamagni, Georgia Kapatai, Andrew Smith, Victoria J. Chalker, Arlene Reynolds, Androulla Efstratiou, Darshana Patel, Catherine O'Sullivan, and Eleri Davies
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Male ,Pediatrics ,medicine.medical_specialty ,Disease ,Microbial Sensitivity Tests ,medicine.disease_cause ,Serogroup ,Group B ,Streptococcus agalactiae ,03 medical and health sciences ,0302 clinical medicine ,Pregnancy ,Risk Factors ,Streptococcal Infections ,Case fatality rate ,medicine ,Humans ,030212 general & internal medicine ,Prospective Studies ,Antibiotic prophylaxis ,Serotyping ,Prospective cohort study ,030219 obstetrics & reproductive medicine ,Streptococcus ,business.industry ,Incidence (epidemiology) ,Incidence ,Infant, Newborn ,Infant ,Antibiotic Prophylaxis ,medicine.disease ,United Kingdom ,Infectious Diseases ,Female ,business ,Meningitis ,Ireland ,Multilocus Sequence Typing - Abstract
Summary Background Group B streptococcus is a leading cause of serious infection in young infants in many countries worldwide. We aimed to define the burden and clinical features of invasive group B streptococcal disease in infants younger than 90 days in the UK and Ireland, together with the characteristics of disease-causing isolates. Methods Prospective, active national surveillance of invasive group B streptococcal disease in infants younger than 90 days was done from April 1, 2014, to April 30, 2015, through the British Paediatric Surveillance Unit, microbiology reference laboratories, and national public health agencies in the UK and Ireland. Early onset was defined as disease in the first 6 days of life and late onset was defined as 7–89 days of life. Incidence was calculated using livebirths in 2014 (after adjustment for the 13-month surveillance period). Isolates were characterised by serotyping, multilocus sequence typing, and antimicrobial susceptibility testing. Findings 856 cases of group B streptococcus were identified in 2014–15, an incidence of 0·94 per 1000 livebirths (95% CI 0·88–1·00). Incidence for early-onset disease (n=517) was 0·57 per 1000 livebirths (95% CI 0·52–0·62), and for late-onset disease (n=339) was 0·37 per 1000 livebirths (0·33–0·41). 53 infants died (case fatality rate 6·2%), of whom 27 had early-onset disease (case fatality rate 5·2%) and 26 had late-onset disease (case fatality rate 7·7%). The predominant serotypes were III (241 [60%] of 402 serotyped isolates) and Ia (69 [17%]); five serotypes (Ia, Ib, II, III, V) accounted for 377 (94%) of all serotyped isolates. Interpretation The incidence of invasive infant group B streptococcal disease in the UK and Ireland has increased since a comparable study done in 2000–01. The burden of early-onset disease has not declined despite the introduction of national prevention guidelines. New strategies for prevention are required. Funding Meningitis Now.
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- 2017
19. Erratum to 'Predominance of influenza A(H3N2) virus genetic subclade 3C.2a1 during an early 2016/17 influenza season in Europe – Contribution of surveillance data from World Health Organization (WHO) European region to the WHO vaccine composition consultation for northern hemisphere 2017/18' [Vaccine 35 (2017) 4828–4835]
- Author
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Angeliki Melidou, Eeva Broberg, Cornelia Adlhoch, René Snacken, Pasi Penttinen, Dmitriy Pereyaslov, Caroline Brown, Monika Redlberger-Fritz, Therese Popow-Kraupp, Isabelle Thomas, Cyril Barbezange, Nathalie Bossuyt, Helena Jirincova, Alexander Nagy, Ramona Trebbien, Thea K. Fischer, Niina Ikonen, Anu Haveri, Outi Lyytikäinen, Satu Murtopuro, Sylvie Behillil, Vincent Enouf, Sylvie van der Werf, Alessandra Falchi, Martine Valette, Bruno Lina, Brunhilde Schweiger, Barbara Biere, Susanne Duwe, Marianne Wedde, Silke Buda, Andreas Mentis, Athanasios Kossyvakis, Vasiliki Pogka, Anna Papa-Konidari, Georgia Gioula, Maria Exindari, Linda Dunford, Jeff Connell, Grainne Tuite, Margaret Duffy, Joanne Moran, Bridget Hogg, Allison Waters, Cillian de Gascun, Lisa Domegan, Joan O'Donnell, Michael Joyce, Maria Rita Castrucci, Simona Puzelli, Caterina Rizzo, Antonino Bella, Francesco Maraglino, Dinagul Otorbaeva, Gulbarchyn Saparova, Natalija Zamjatina, Gatis Pakarna, Raina Nikiforova, Joël Mossong, Matthias Opp, Adam Meijer, Pieter Overduin, Marit de Lange, Anne Teirlinck, Guus Rimmelzwaan, Ruud van Beek, Marion Koopmans, Gé Donker, Olav Hungnes, Karoline Bragstad, Raquel Guiomar, Pedro Pechirra, Paula Cristóvão, Inês Costa, Patricia Conde, Ana Paula Rodrigues, Alina Elena Ivanciuc, Elena Burtseva, Elena Kirillova, Evgeniya Mukasheva, Elena Tichá, Katarina Prosenc, Nataša Berginc, Francisco Pozo, Inmaculada Casas, Amparo Larrauri, Jesús Oliva, Concha Delgado, Raúl Ortiz de Lejarazu Leonardo, Mia Brytting, Åsa Wiman, Samuel Cordey, Ana Rita Goncalves, Damir Perisa, Rita Born, Joanna Ellis, Monica Galiano, Catherine Thompson, Maria Zambon, Richard Pebody, Rory Gunson, Arlene Reynolds, Jim McMenamin, Conall McCaughey, and Cathriona Kearns
- Subjects
Surveillance data ,General Veterinary ,General Immunology and Microbiology ,Public Health, Environmental and Occupational Health ,Northern Hemisphere ,Influenza a ,Subclade ,Influenza season ,010501 environmental sciences ,European region ,01 natural sciences ,World health ,Virus ,03 medical and health sciences ,0302 clinical medicine ,Infectious Diseases ,Geography ,Molecular Medicine ,030212 general & internal medicine ,0105 earth and related environmental sciences ,Demography - Abstract
The publisher regrets that the co-authors in the “European region influenza surveillance network” were not tagged correctly. The full and complete list of authors and their affiliations for this article is given above. The publisher would like to apologise for any inconvenience caused.
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- 2018
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20. False positive influenza A and B detections in clinical samples due to contamination with live attenuated influenza vaccine
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Rory Gunson, Arlene Reynolds, Beatrix von Wissmann, Alasdair MacLean, and Susan Bennett
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Male ,Microbiology (medical) ,business.industry ,Influenza A Virus, H3N2 Subtype ,Influenza a ,General Medicine ,Contamination ,medicine.disease_cause ,Polymerase Chain Reaction ,Microbiology ,Virology ,law.invention ,Influenza B virus ,Influenza A Virus, H1N1 Subtype ,Influenza Vaccines ,law ,Influenza, Human ,Influenza A virus ,medicine ,Humans ,Live attenuated influenza vaccine ,False Positive Reactions ,Female ,business ,Polymerase chain reaction - Published
- 2015
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21. Estimating vaccine effectiveness against severe influenza in England and Scotland 2011/2012: applying the screening method to data from intensive care surveillance systems
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Helen K. Green, Hongxin Zhao, Jim McMenamin, HL Thomas, N. L. Boddington, Nick Andrews, Richard Pebody, and Arlene Reynolds
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Adult ,Trivalent influenza vaccine ,medicine.medical_specialty ,Adolescent ,Epidemiology ,Population ,law.invention ,Cohort Studies ,law ,Intensive care ,Influenza, Human ,medicine ,Humans ,Child ,education ,Aged ,education.field_of_study ,business.industry ,Confounding ,Infant ,Middle Aged ,Original Papers ,Intensive care unit ,Confidence interval ,Surgery ,Hospitalization ,Vaccination ,Intensive Care Units ,Logistic Models ,Infectious Diseases ,England ,Influenza Vaccines ,Child, Preschool ,Emergency medicine ,business ,Sentinel Surveillance ,Cohort study - Abstract
SUMMARYMethods for estimating vaccine effectiveness (VE) against severe influenza are not well established. We used the screening method to estimate VE against influenza resulting in intensive care unit (ICU) admission in England and Scotland in 2011/2012. We extracted data on confirmed influenza ICU cases from severe influenza surveillance systems, and obtained their 2011/2012 trivalent influenza vaccine (TIV) status from primary care. We compared case vaccine uptake with population vaccine uptake obtained from routine monitoring systems, adjusting for age group, specific risk group, region and week. Of 60 influenza ICU cases reported, vaccination status was available for 56 (93%). Adjusted VE against ICU admission for those aged ⩾65 years was −10% [95% confidence interval (CI) −207 to 60], consistent with evidence of poor protection from the 2011/2012 TIV in 2011/2012. Adjusted VE for those aged
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- 2013
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22. Effectiveness of seasonal influenza vaccine in preventing laboratory-confirmed influenza in primary care in the United Kingdom: 2015/16 mid-season results
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Richard Pebody, Fiona Warburton, Joanna Ellis, Nick Andrews, Alison Potts, Simon Cottrell, Jillian Johnston, Arlene Reynolds, Rory Gunson, Catherine Thompson, Monica Galiano, Chris Robertson, David Mullett, Naomh Gallagher, Mary Sinnathamby, Ivelina Yonova, Catherine Moore, Jim McMenamin, Simon de Lusignan, and Maria Zambon
- Subjects
0106 biological sciences ,0301 basic medicine ,Male ,Epidemiology ,01 natural sciences ,Seasonal influenza ,Vaccine strain ,Influenza A Virus, H1N1 Subtype ,RA0421 ,Medicine ,Phylogeny ,Vaccination ,immunisation ,virus diseases ,vaccines ,Middle Aged ,3. Good health ,Infectious Diseases ,PCR ,Influenza Vaccines ,Human mortality from H5N1 ,Female ,Seasons ,influenza ,Life Sciences & Biomedicine ,Adult ,Adolescent ,VIRUSES ,Influenza season ,Primary care ,010603 evolutionary biology ,Virus ,03 medical and health sciences ,Young Adult ,QA273 ,Virology ,Influenza, Human ,Humans ,Pandemics ,Science & Technology ,Primary Health Care ,business.industry ,Public Health, Environmental and Occupational Health ,Influenza a ,Hemagglutination Inhibition Tests ,Confidence interval ,United Kingdom ,030104 developmental biology ,business ,Laboratories ,Sentinel Surveillance ,Demography - Abstract
In 2015/16, the influenza season in the United Kingdom was dominated by influenza A(H1N1)pdm09 circulation. Virus characterisation indicated the emergence of genetic clusters, with the majority antigenically similar to the current influenza A(H1N1)pdm09 vaccine strain. Mid-season vaccine effectiveness (VE) estimates show an adjusted VE of 41.5% (95% confidence interval (CI): 3.0–64.7) against influenza-confirmed primary care consultations and of 49.1% (95% CI: 9.3–71.5) against influenza A(H1N1)pdm09. These estimates show levels of protection similar to the 2010/11 season, when this strain was first used in the seasonal vaccine.
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- 2016
23. Developing and validating a new national remote health advice syndromic surveillance system in England
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S. Ibbotson, S. Large, J Rutter, E. Povey, Alex J. Elliot, Paul Loveridge, L. Carrilho, Jim McMenamin, Gillian E. Smith, Roger Morbey, J. Tiffen, P. McIntosh, P. Moores, D. Baynham, Arlene Reynolds, P. Fox, S. Bellerby, and Sally Harcourt
- Subjects
0301 basic medicine ,Adult ,Male ,medicine.medical_specialty ,Adolescent ,030106 microbiology ,General Practice ,Statistics as Topic ,State Medicine ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Environmental health ,Epidemiology ,Health care ,medicine ,Humans ,030212 general & internal medicine ,Child ,Aged ,Aged, 80 and over ,Remote Consultation ,Models, Statistical ,business.industry ,Public health ,Public Health, Environmental and Occupational Health ,Health advice ,Infant ,General Medicine ,Emergency department ,Middle Aged ,England ,Child, Preschool ,Population Surveillance ,General practice ,Health education ,Original Article ,Female ,Public Health ,business ,Emergency Service, Hospital - Abstract
Background Public Health England (PHE) coordinates a suite of real-time national syndromic surveillance systems monitoring general practice, emergency department and remote health advice data. We describe the development and informal evaluation of a new syndromic surveillance system using NHS 111 remote health advice data. Methods NHS 111 syndromic indicators were monitored daily at national and local level. Statistical models were applied to daily data to identify significant exceedances; statistical baselines were developed for each syndrome and area using a multi-level hierarchical mixed effects model. Results Between November 2013 and October 2014, there were on average 19 095 NHS 111 calls each weekday and 43 084 each weekend day in the PHE dataset. There was a predominance of females using the service (57%); highest percentage of calls received was in the age group 1-4 years (14%). This system was used to monitor respiratory and gastrointestinal infections over the winter of 2013-14, the potential public health impact of severe flooding across parts of southern England and poor air quality episodes across England in April 2014. Conclusions This new system complements and supplements the existing PHE syndromic surveillance systems and is now integrated into the routine daily processes that form this national syndromic surveillance service.
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- 2016
24. Oseltamivir-Resistant Pandemic (H1N1) 2009 Virus Infection in England and Scotland, 2009–2010
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Nick Phin, Angie Lackenby, Laurence Calatayud, Jim McMenamin, Maria Zambon, Richard Pebody, and Arlene Reynolds
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Male ,swine-origin influenza A H1N1 virus ,Epidemiology ,viruses ,lcsh:Medicine ,Drug resistance ,medicine.disease_cause ,chemistry.chemical_compound ,Influenza A Virus, H1N1 Subtype ,Risk Factors ,Pandemic ,Influenza A virus ,Medicine ,Young adult ,expedited ,Child ,Aged, 80 and over ,immunocompromised patient ,antiviral drug resistance ,virus diseases ,Middle Aged ,Infectious Diseases ,England ,Child, Preschool ,Female ,influenza ,Microbiology (medical) ,Adult ,medicine.medical_specialty ,Oseltamivir ,Adolescent ,pandemic (H1N1) 2009 virus ,Neuraminidase ,virus ,Virus ,lcsh:Infectious and parasitic diseases ,subtype H1N1 ,Young Adult ,Antibiotic resistance ,H1N1 influenza virus ,Internal medicine ,Drug Resistance, Viral ,Influenza, Human ,influenza A virus ,Humans ,lcsh:RC109-216 ,antimicrobial resistance ,Pandemics ,immunocompromised host ,Aged ,drug resistance ,business.industry ,Research ,lcsh:R ,Case-control study ,Infant ,Virology ,respiratory tract diseases ,chemistry ,Scotland ,Case-Control Studies ,Mutation ,business - Abstract
Monitoring of antiviral resistance is strongly recommended for immunocompromised patients., Oseltamivir has been widely used for pandemic (H1N1) 2009 virus infection, and by April 30, 2010, a total of 285 resistant cases were reported worldwide, including 45 in the United Kingdom. To determine risk factors for emergence of oseltamivir resistance and severe infection, a case–control study was conducted in the United Kingdom. Study participants were hospitalized in England or Scotland during January 4, 2009–April 30, 2010. Controls had confirmed oseltamivir-sensitive pandemic (H1N1) 2009 virus infections, and case-patients had confirmed oseltamivir-resistant infections. Of 28 case-patients with available information, 21 (75%) were immunocompromised; 31 of 33 case-patients (94%) received antiviral drugs before a sample was obtained. After adjusting for confounders, case-patients remained significantly more likely than controls to be immunocompromised and at higher risk for showing development of respiratory complications. Selective drug pressure likely explains the development of oseltamivir resistance, especially among immunocompromised patients. Monitoring of antiviral resistance is strongly recommended in this group.
- Published
- 2011
25. Effectiveness of seasonal influenza vaccine in preventing laboratory-confirmed influenza in primary care in the United Kingdom: 2014/15 end of season results
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Ivelina Yonova, Joanna Ellis, Arlene Reynolds, Monica Galiano, Simon de Lusignan, Beatrix von Wissmann, Fiona Warburton, Chris Robertson, Richard Pebody, David Mullett, Helen K. Green, Sameera Pathirannehelage, Simon Cottrell, Jim McMenamin, Diogo F P Marques, Naomh Gallagher, Rory Gunson, Nick Andrews, Maria Zambon, Catherine Moore, Jillian Johnston, Matthew Donati, and Catherine Thompson
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Adult ,Male ,medicine.medical_specialty ,RM ,Adolescent ,Epidemiology ,Influenza vaccine ,Primary care ,Seasonal influenza ,Young Adult ,RA0421 ,Virology ,Internal medicine ,Influenza, Human ,Medicine ,Live attenuated influenza vaccine ,Humans ,Child ,Respiratory Tract Infections ,Aged ,Respiratory tract infections ,Primary Health Care ,business.industry ,Immunization Programs ,Reverse Transcriptase Polymerase Chain Reaction ,Influenza A Virus, H3N2 Subtype ,Vaccination ,Public Health, Environmental and Occupational Health ,virus diseases ,Influenza a ,Middle Aged ,Confidence interval ,United Kingdom ,Influenza B virus ,Influenza Vaccines ,Case-Control Studies ,Child, Preschool ,Female ,Seasons ,business ,Laboratories ,Sentinel Surveillance - Abstract
The 2014/15 influenza season in the United Kingdom (UK) was characterised by circulation of predominantly antigenically and genetically drifted influenza A(H3N2) and B viruses. A universal paediatric influenza vaccination programme using a quadrivalent live attenuated influenza vaccine (LAIV) has recently been introduced in the UK. This study aims to measure the end-of-season influenza vaccine effectiveness (VE), including for LAIV, using the test negative case–control design. The overall adjusted VE against all influenza was 34.3% (95% confidence interval (CI) 17.8 to 47.5); for A(H3N2) 29.3% (95% CI: 8.6 to 45.3) and for B 46.3% (95% CI: 13.9 to 66.5). For those aged under 18 years, influenza A(H3N2) LAIV VE was 35% (95% CI: −29.9 to 67.5), whereas for influenza B the LAIV VE was 100% (95% CI:17.0 to 100.0). Although the VE against influenza A(H3N2) infection was low, there was still evidence of significant protection, together with moderate, significant protection against drifted circulating influenza B viruses. LAIV provided non-significant positive protection against influenza A, with significant protection against B. Further work to assess the population impact of the vaccine programme across the UK is underway.
- Published
- 2015
26. Review of the experiences from the first childhood influenza vaccination programme with a live attenuated influenza vaccine in England and Scotland
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Arlene Reynolds, Sharon White, Sankarasubramanian Rajaram, and George Kassianos
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Pharmacology ,medicine.medical_specialty ,Pediatrics ,Improving Practice ,business.industry ,lcsh:RM1-950 ,General Medicine ,Workforce management ,Primary care ,schools ,Northern ireland ,vaccination ,Vaccination ,pilot project ,lcsh:Therapeutics. Pharmacology ,children ,England ,Scotland ,Family medicine ,vaccine ,medicine ,Molecular Medicine ,Live attenuated influenza vaccine ,business ,influenza - Abstract
In 2012, the Joint Committee on Vaccination and Immunisation recommended that the National Immunisation Programme for influenza be extended to include healthy children/adolescents aged 2–17 years. In the UK, extension of this new immunisation programme began in 2013–2014 and targeted children aged 2 years and 3 years in primary care. Several implementation pilots were undertaken in primary schools across England, Scotland, Wales and Northern Ireland, as well as a single pilot in a secondary school in England. This article shares lessons learnt from experiences in England and Scotland to provide guidance for other countries considering the addition of childhood influenza vaccination into their national immunisation programmes. Recommendations are provided to help ensure effective preparation and management of new childhood influenza vaccination programmes in other countries. This article describes the processes utilised in England and Scotland for programme setup, workforce management, identification and care of contraindicated patients, collection of data on vaccine uptake, communication strategies, and education of parents and children.
- Published
- 2015
27. Burden of influenza B virus infections in Scotland in 2012/13 and epidemiological investigations between 2000 and 2012
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Karina Salvatierra, Peter Simmonds, Denis Smith, Alison Hunt, Jim McMenamin, Rory Gunson, Heli Harvala, Arlene Reynolds, B. Von Wissmann, Alan W Maclean, David L. Yirrell, Kate Templeton, and C Frew
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Epidemiology ,Antiviral Agents ,Severity of Illness Index ,Virus ,law.invention ,Young Adult ,Cost of Illness ,law ,Virology ,Internal medicine ,Influenza, Human ,medicine ,Humans ,Prospective Studies ,Young adult ,Child ,Aged ,Retrospective Studies ,Reverse Transcriptase Polymerase Chain Reaction ,business.industry ,Incidence ,Incidence (epidemiology) ,Age Factors ,Public Health, Environmental and Occupational Health ,virus diseases ,Retrospective cohort study ,Health Care Costs ,Middle Aged ,Intensive care unit ,Hospitalization ,Vaccination ,Influenza B virus ,Treatment Outcome ,Scotland ,Child, Preschool ,Human mortality from H5N1 ,Female ,business ,Sentinel Surveillance ,Sequence Analysis - Abstract
We describe the burden of influenza B infections in Scotland during a 13-year study period. Influenza A and B viruses cocirculated throughout the period, with numbers of influenza B cases approaching or exceeding those of influenza A during six influenza seasons. Influenza B viruses of both Victoria and Yamagata lineage were detected in two of six seasons investigated. For the 2012/13 season, influenza B accounted for 44.4% of all influenzas, with the highest incidence in those under the age of five years. Influenza B virus infections led to fewer admissions to an intensive care unit (ICU) and a lower mortality rate than influenza A (37 vs 81 ICU admissions and three vs 29 deaths) during the 2012/13 season. However, a quarter of those admitted to ICU with influenza B had not been immunised and 60% had not received specific influenza antiviral therapy. This highlights the need for consistent influenza vaccination and prompt usage of antiviral treatment for identified risk groups. Combining the newly introduced vaccination programme for children with the use of a tetravalent vaccine may provide the opportunity to improve the control of influenza B in those with the highest influenza B burden, children and young adolescents.
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- 2014
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28. Harmonizing influenza primary-care surveillance in the United Kingdom: piloting two methods to assess the timing and intensity of the seasonal epidemic across several general practice-based surveillance schemes
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G. E. Smith, Andre Charlett, Richard Pebody, J. Moran-Gilad, D. Rh. Thomas, Jim McMenamin, B. Smyth, Douglas M. Fleming, Joanna Ellis, John M Watson, Simon Cottrell, Maria Zambon, Arlene Reynolds, Alex J. Elliot, Cathriona Kearns, H. Durnall, and Helen K. Green
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medicine.medical_specialty ,Government ,Warning system ,Primary Health Care ,Epidemiology ,business.industry ,Harmonization ,Primary care ,Review Article ,United Kingdom ,Infectious Diseases ,Environmental health ,Pandemic ,General practice ,Epidemiological Monitoring ,Influenza, Human ,medicine ,Humans ,business ,Disease Notification - Abstract
SUMMARYGeneral Practitioner consultation rates for influenza-like illness (ILI) are monitored through several geographically distinct schemes in the UK, providing early warning to government and health services of community circulation and intensity of activity each winter. Following on from the 2009 pandemic, there has been a harmonization initiative to allow comparison across the distinct existing surveillance schemes each season. The moving epidemic method (MEM), proposed by the European Centre for Disease Prevention and Control for standardizing reporting of ILI rates, was piloted in 2011/12 and 2012/13 along with the previously proposed UK method of empirical percentiles. The MEM resulted in thresholds that were lower than traditional thresholds but more appropriate as indicators of the start of influenza virus circulation. The intensity of the influenza season assessed with the MEM was similar to that reported through the percentile approach. The MEM pre-epidemic threshold has now been adopted for reporting by each country of the UK. Further work will continue to assess intensity of activity and apply standardized methods to other influenza-related data sources.
- Published
- 2014
29. Automated mortality monitoring in Scotland from 2009
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Arlene Reynolds, Chris Robertson, Jim McMenamin, Adam P. Wagner, Eddie McKenzie, Heather Murdoch, Coppens, Kim, University of Strathclyde [Glasgow], and International Prevention Research Institute (IPRI)
- Subjects
Epidemiology ,Public Health, Environmental and Occupational Health ,Statistical model ,Monitoring system ,Human/*epidemiology/mortality Male Middle Aged Mortality/*trends Population Surveillance/*methods Risk Factors Scotland Sentinel Surveillance ,Seasonality ,medicine.disease ,01 natural sciences ,Generalised additive model ,3. Good health ,Seasonal influenza ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,Geography ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Virology ,Statistics ,medicine ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Disease Outbreaks Female Humans Influenza ,030212 general & internal medicine ,0101 mathematics ,Mortality trends - Abstract
Wagner, A P McKenzie, E Robertson, C McMenamin, J Reynolds, A Murdoch, H eng Research Support, Non-U.S. Gov't Sweden 2013/04/19 06:00 Euro Surveill. 2013 Apr 11;18(15):20451.; International audience; Mortality monitoring systems are important for gauging the effect of influenza and other wide ranging health threats. We present the daily all-cause mortality monitoring system routinely used in Scotland, which differs from others by using two different statistical models for calculating expected mortality. The first model is an extended Serfling model, which captures annual seasonality in mortality using sine and cosine terms, and is frequently seen in other systems. Serfling models fit to summer seasonality well, but not to the winter peak. Thus, during the winter, there are frequent 'excesses', higher than expected mortality, making it harder to directly judge if winter mortality is higher than in previous years. The second model, a Generalised Additive Model, resolves this by allowing a more flexible seasonal pattern that includes the winter peak. Thus, excesses under the second model directly indicate if winter mortality is higher than in previous years, useful, for example, in judging if a new strain of seasonal influenza is more likely to produce death than previous ones. As common in all-cause mortality monitoring systems, the Scottish system uses a reporting delay correction: we discuss the difficulties of interpretation when such a correction is used and possible avenues for future work that may address these difficulties.
- Published
- 2013
30. Pooling European all-cause mortality: methodology and findings for the seasons 2008/2009 to 2010/2011
- Author
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Victor Flores, F. Simon-Soria, F. Wuillaume, Christoph Junker, Kåre Mølbak, A. Oza, L. Van Asten, T. M. Fenech, Baltazar Nunes, A. Foulliet, Bianca E. P. Snijders, Richard Pebody, Jens Nielsen, B. Gergonne, Marios Detsis, Arlene Reynolds, Helmut Uphoff, M. J. Virtanen, Anna Páldy, Helen K. Green, Joan O'Donnell, T. Sideroglou, A Mazick, and Nick Andrews
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Adult ,Male ,medicine.medical_specialty ,Younger age ,Adolescent ,Epidemiology ,Pooling ,Young Adult ,medicine ,Humans ,Elderly adults ,Child ,Aged ,Aged, 80 and over ,Excess mortality ,Surveillance ,Age Factors ,Infant, Newborn ,Pandemic influenza ,Infant ,Middle Aged ,Estados de Saúde e de Doença ,Original Papers ,Survival Analysis ,Europe ,Infectious Diseases ,Geography ,Pooled analysis ,Excess Mortality ,Child, Preschool ,Female ,Seasons ,All cause mortality ,Demography - Abstract
SUMMARYSeveral European countries have timely all-cause mortality monitoring. However, small changes in mortality may not give rise to signals at the national level. Pooling data across countries may overcome this, particularly if changes in mortality occur simultaneously. Additionally, pooling may increase the power of monitoring populations with small numbers of expected deaths, e.g. younger age groups or fertile women. Finally, pooled analyses may reveal patterns of diseases across Europe. We describe a pooled analysis of all-cause mortality across 16 European countries. Two approaches were explored. In the ‘summarized’ approach, data across countries were summarized and analysed as one overall country. In the ‘stratified’ approach, heterogeneities between countries were taken into account. Pooling using the ‘stratified’ approach was the most appropriate as it reflects variations in mortality. Excess mortality was observed in all winter seasons albeit slightly higher in 2008/09 than 2009/10 and 2010/11. In the 2008/09 season, excess mortality was mainly in elderly adults. In 2009/10, when pandemic influenza A(H1N1) dominated, excess mortality was mainly in children. The 2010/11 season reflected a similar pattern, although increased mortality in children came later. These patterns were less clear in analyses based on data from individual countries. We have demonstrated that with stratified pooling we can combine local mortality monitoring systems and enhance monitoring of mortality across Europe.
- Published
- 2012
31. Increased reports of Mycoplasma pneumoniae from laboratories in Scotland in 2010 and 2011 – impact of the epidemic in infants
- Author
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P.J. Molyneaux, Kate Templeton, Jim McMenamin, S McDonagh, Naomi J. Gadsby, Rory Gunson, Arlene Reynolds, and David L. Yirrell
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Pediatrics ,medicine.medical_specialty ,Mycoplasma pneumoniae ,Epidemiology ,business.industry ,Incidence (epidemiology) ,Laboratory reports ,Public Health, Environmental and Occupational Health ,MEDLINE ,medicine.disease ,medicine.disease_cause ,Serology ,Pneumonia ,Virology ,Medicine ,Age distribution ,Young adult ,business - Abstract
In common with reports from other European countries, we describe a substantial increase in the number of laboratory reports of Mycoplasma pneumoniae in Scotland in 2010 and 2011. The highest number of reports came from those aged one year and younger. However, reports from young children were more likely to come from PCR testing than serological testing.
- Published
- 2012
- Full Text
- View/download PDF
32. Soldier Girl: The Civil War Memories of Elizabeth Bacon Custer
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Arlene Reynolds and Elizabeth Bacon Custer
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Spanish Civil War ,Literature and Literary Theory ,media_common.quotation_subject ,Girl ,Art ,Ancient history ,media_common - Published
- 1994
- Full Text
- View/download PDF
33. Continued emergence and changing epidemiology of oseltamivir-resistant influenza A(H1N1)2009 virus, United Kingdom, winter 2010/11
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Jim McMenamin, Maria Zambon, Monica Galiano, L Calatayud, Richard Pebody, Rory Gunson, Peter Muir, Alison Bermingham, S Bolotin, Angie Lackenby, Arlene Reynolds, Catherine Moore, Malcolm Guiver, I Vipond, Catherine Thompson, S Miah, J Moran Gilad, and Joanna Ellis
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Adult ,Male ,Oseltamivir ,medicine.medical_specialty ,Adolescent ,Epidemiology ,viruses ,Neuraminidase ,Drug resistance ,Microbial Sensitivity Tests ,Biology ,medicine.disease_cause ,Antiviral Agents ,Polymorphism, Single Nucleotide ,Virus ,chemistry.chemical_compound ,Young Adult ,Influenza A Virus, H1N1 Subtype ,Virology ,Pandemic ,Drug Resistance, Viral ,Influenza, Human ,Influenza A virus ,medicine ,Humans ,Child ,Pandemics ,Aged ,Transmission (medicine) ,Public Health, Environmental and Occupational Health ,virus diseases ,Infant ,Middle Aged ,Influenza A virus subtype H5N1 ,United Kingdom ,respiratory tract diseases ,chemistry ,Child, Preschool ,Population Surveillance ,Female ,Seasons - Abstract
During the winter period 2010/11 27 epidemiologically unlinked, confirmed cases of oseltamivir-resistant influenza A(H1N1)2009 virus infection have been detected in multiple, geographically dispersed settings. Three of these cases were in community settings, with no known exposure to oseltamivir. This suggests possible onward transmission of resistant strains and could be an indication of a possibility of changing epidemiology of oseltamivir-resistant influenza A(H1N1)2009 virus.
- Published
- 2011
34. When should vaccination be contraindicated in children?
- Author
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Arlene Reynolds, Laura Lane, and Mary Ramsay
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Hypersensitivity, Immediate ,medicine.medical_specialty ,Pediatrics ,Serious infection ,Disease ,Toxicology ,Pharmacovigilance ,Immune Tolerance ,Medicine ,Humans ,Pharmacology (medical) ,Intensive care medicine ,Child ,Contraindication ,Anaphylaxis ,Pharmacology ,Pertussis Vaccine ,business.industry ,Contraindications ,Vaccination ,Absolute risk reduction ,Child protection ,Pertussis vaccine ,business ,medicine.drug - Abstract
No child should be denied immunisation without serious consideration given to the consequences. In the past, many contraindications to vaccination were based on theoretical concerns. These concerns often assumed an immunoallergic mechanism for adverse reactions, whereas many such events are often due to other causes. Other contraindications were based on evidence of excess risk, but this risk was not always balanced against the higher risk of disease. Therefore, contraindications often varied between countries and over time. In recent years, the widespread availability of less reactogenic vaccines and the common use of combined preparations have prompted a review of contraindications in many countries. Accumulated experience worldwide has allowed the list of conditions that contraindicate vaccination to be reduced. The international consensus now is that there are very few situations in which a child should not be immunised and the only true contraindication applicable to all vaccines is a history of anaphylaxis to a vaccine component or following a previous dose of the vaccine. Health professionals should feel confident in accepting national recommendations and, if in doubt, should refer children for an expert opinion, rather than deny a child protection against a serious infection.
- Published
- 2005
35. The Civil War Memories of Elizabeth Bacon Custer: Reconstructed from Her Diaries and Notes
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Gregory J. W. Urwin and Arlene Reynolds
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History - Published
- 1995
- Full Text
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36. Increase in scarlet fever notifications in the United Kingdom, 2013/2014
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Juliana Coelho, B. Von Wissmann, Arlene Reynolds, Theresa Lamagni, Lorraine Doherty, Rebecca Guy, Christopher Williams, Meera Chand, D Thomas, Victoria J. Chalker, Androulla Efstratiou, Mary Ramsay, N Irvine, and Vanessa Saliba
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Scarlet Fever ,Epidemiology ,Streptococcus pyogenes ,Streptococcal disease ,Disease Outbreaks ,Young Adult ,Age Distribution ,Virology ,Streptococcal Infections ,medicine ,Population growth ,Humans ,Sex Distribution ,Intensive care medicine ,Child ,Disease Notification ,Aged ,Aged, 80 and over ,Invasive disease ,business.industry ,Incidence (epidemiology) ,Incidence ,Public Health, Environmental and Occupational Health ,Infant ,Middle Aged ,medicine.disease ,United Kingdom ,Child, Preschool ,Population Surveillance ,Scarlet fever ,Invasive group ,business - Abstract
Increases in scarlet fever above usual seasonal levels are currently being seen across the United Kingdom. Medical practitioners have been alerted to the exceptional increase in incidence. Given the potential for this to signal a population increase in invasive group A streptococcal disease, close monitoring of invasive disease is essential.
37. Excess mortality among the elderly in European Countries, December 2014 to February 2015
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S. P. da Silva, T. Sideroglou, Christoph Junker, Kåre Mølbak, Gleb Denissov, Kassiani Gkolfinopoulou, Baltazar Nunes, Jakob N. Nielsen, Amparo Larrauri, Katrien Tersago, M. J. Virtanen, A Mazick, Nathalie Bossuyt, Arlene Reynolds, L. van Asten, A. Tsoumanis, János Bobvos, A. Baburin, A. Fouillet, Laura Espenhain, M.M.A. de Lange, Richard Pebody, I. L. Gomez, Anna Páldy, Helen K. Green, and James McMenamin
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Male ,medicine.medical_specialty ,Epidemiology ,VDM ,Age Distribution ,Virology ,Cause of Death ,Influenza, Human ,Medicine ,Humans ,Mortality ,Pandemics ,Respiratory Tract Infections ,Aged ,Excess mortality ,Aged, 80 and over ,business.industry ,Influenza A Virus, H3N2 Subtype ,Public Health, Environmental and Occupational Health ,virus diseases ,Influenza a ,Estados de Saúde e de Doença ,Europe ,Current season ,Population Surveillance ,Mortalidade ,Female ,Seasons ,business ,EuroMOMO ,Sistema de Vigilância ,Algorithms ,Demography - Abstract
Since December 2014 and up to February 2015, the weekly number of excess deaths from all-causes among individuals?≥?65 years of age in 14 European countries have been significantly higher than in the four previous winter seasons. The rise in unspecified excess mortality coincides with increased proportion of influenza detection in the European influenza surveillance schemes with a main predominance of influenza A(H3N2) viruses seen throughout Europe in the current season, though cold snaps and other respiratory infections may also have had an effect.
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