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Background: Changes in the epidemiology of illnesses caused by respiratory syncytial virus (RSV) infection following the COVID‐19 pandemic are reported. The New Zealand (NZ) COVID‐19 situation was unique; RSV community transmission was eliminated with the 2020 border closure, with a rapid and large increase in hospitalizations following the relaxation of social isolation measures and the opening of an exclusive border with Australia. Methods: This active population‐based surveillance compared the age‐specific incidence and seasonality of RSV‐associated hospitalizations in Auckland, NZ, for 2 years before and after the 2020 border closures. Hospitalisation rates between years were compared by age, ethnicity (European/other, Māori, Pacific and Asian) and socioeconomic group (1 = least, 5 = most deprived). Results: There was no RSV transmission in 2020. In all other years, hospitalisation rates were highest for people of Pacific versus other ethnic groups and for people living in the most deprived quintile of households. RSV hospitalisation rates were higher in 2021 and 2022 than in 2018–19. The epidemic peak was higher in 2021, but not 2022, and the duration was shorter than in 2018–19. In 2021, the increase in RSV hospitalisation rates was significant across all age, sex, ethnic and socioeconomic groups. In 2022, the increase in hospitalisation rates was only significant in one age (1– < 3 years), one ethnic (Asian) and one socioeconomic group (quintile 2). Conclusions: COVID pandemic responses altered RSV‐related hospitalisation seasonal patterns. Atypical features of RSV hospitalisation epidemiology were the increase in rates in older children and young adults, which lessened in 2022. Despite these variations, RSV hospitalisations in NZ continue to disproportionately affect individuals of Pacific ethnicity and those living in more socioeconomically deprived households. Whilst future public health strategies focused on RSV disease mitigation need to consider the potential shifts in epidemiological patterns when the transmission is disrupted, these variances must be considered in the context of longer‐standing patterns of unequal disease distribution. [ABSTRACT FROM AUTHOR]

Background: Data from the sentinel surveillance system of severe acute respiratory infections in Spain were used to estimate the impact of administration of nirsevimab to children born from 1 April 2023 onwards. Methods: Estimated RSV hospitalisations in < 1‐year‐olds during weeks 40, 2023, to 8, 2024, were compared to the number that would be expected after accounting for the background change in RSV circulation in the 2023/24 season, compared to 2022/23. Results: We estimated 9364–9875 RSV hospitalisations less than expected, corresponding to a 74%–75% reduction. [ABSTRACT FROM AUTHOR]

Metagenomic next‐generation sequencing (mNGS) is a valuable technique for identifying pathogens. However, conventional mNGS requires the separate processing of DNA and RNA genomes, which can be resource‐ and time‐intensive. To mitigate these impediments, we propose a novel method called DNA/RNA cosequencing that aims to enhance the efficiency of pathogen detection. DNA/RNA cosequencing uses reverse transcription of total nucleic acids extracted from samples by using random primers, without removing DNA, and then employs mNGS. We applied this method to 85 cases of severe acute respiratory infections (SARI). Influenza virus was identified in 13 cases (H1N1: seven cases, H3N2: three cases, unclassified influenza type: three cases) and was not detected in the remaining 72 samples. Bacteria were present in all samples. Pseudomonas aeruginosa, Klebsiella pneumoniae, and Acinetobacter baumannii were detected in four influenza‐positive samples, suggesting coinfections. The sensitivity and specificity for detecting influenza A virus were 73.33% and 95.92%, respectively. A κ value of 0.726 indicated a high level of concordance between the results of DNA/RNA cosequencing and SARI influenza virus monitoring. DNA/RNA cosequencing enhanced the efficiency of pathogen detection, providing a novel capability to strengthen surveillance and thereby prevent and control infectious disease outbreaks. [ABSTRACT FROM AUTHOR]

Background: We explored whether hospital‐based surveillance is useful in detecting severe acute respiratory infection (SARI) clusters and how often these events result in outbreak investigation and community mitigation. Methods: During May 2009–December 2020, physicians at 14 sentinel hospitals prospectively identified SARI clusters (i.e., ≥2 SARI cases who developed symptoms ≤10 days of each other and lived <30 min walk or <3 km from each other). Oropharyngeal and nasopharyngeal swabs were tested for influenza and other respiratory viruses by real‐time reverse transcriptase‐polymerase chain reaction (rRT‐PCR). We describe the demographic of persons within clusters, laboratory results, and outbreak investigations. Results: Field staff identified 464 clusters comprising 1427 SARI cases (range 0–13 clusters per month). Sixty percent of clusters had three, 23% had two, and 17% had ≥4 cases. Their median age was 2 years (inter‐quartile range [IQR] 0.4–25) and 63% were male. Laboratory results were available for the 464 clusters with a median of 9 days (IQR = 6–13 days) after cluster identification. Less than one in five clusters had cases that tested positive for the same virus: respiratory syncytial virus (RSV) in 58 (13%), influenza viruses in 24 (5%), human metapneumovirus (HMPV) in five (1%), human parainfluenza virus (HPIV) in three (0.6%), adenovirus in two (0.4%). While 102/464 (22%) had poultry exposure, none tested positive for influenza A (H5N1) or A (H7N9). None of the 464 clusters led to field deployments for outbreak response. Conclusions: For 11 years, none of the hundreds of identified clusters led to an emergency response. The value of this event‐based surveillance might be improved by seeking larger clusters, with stronger epidemiologic ties or decedents. [ABSTRACT FROM AUTHOR]

Background: Severe acute respiratory tract infection (SARI) is a major global health threat. This study aimed to examine risk factors associated with poor outcomes in patients with SARI. Methods: All patients who met World Health Organization's (WHO) SARI case definition and were admitted to Salmaniya Medical Complex from January 2018 to December 2021 were included. Epidemiological and virological data were obtained and analyzed. Results: Of 1159 patients with SARI included, 731 (63.1%) patients were below 50 years, and 357 (30.8%) tested positive for viral pathogens. The most prevalent virus was Flu‐A (n = 134, 37.5%), SARS‐CoV2 (n = 118, 33%), RSV (n = 51, 14.3%), Flu B (n = 49,13.7%), other viruses (n = 3, 0.8%), and combined infection (n = 2, 0.6%). Six hundred fifty‐eight (56.8%) patients had comorbidities, mainly diabetes (n = 284, 43%) and heart disease (n = 217, 33%). 183 (16%) patients were admitted to ICU, 110 (9%) needed mechanical ventilation, and 80 (7%) patients died. The odds of ICU admission were higher for patients with hematological (OR 5.9, 95% CI 3.1–11.1) and lung diseases (OR 2.7, 95% CI 1.6–4.6). The odds of mechanical ventilation were higher among patients with lung disease (OR 3.1, 95% 1.7–5.5). The mortality odds were higher among patients above 50 (OR 2.4, 95% CI 1.4–4.1) and chronic kidney disease (OR 2.5, 95% CI 1.1–5.2). Conclusions: Being 50 years or above or having kidney, lung, or heart diseases was associated with worse SARI outcomes. Efforts and actions in developing better strategies to vaccinate individuals at high risk and early diagnosis and treatment should help in reducing the burden of SARI. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the magnitude of under‐reporting the number of deaths due to COVID‐19 in Brazil in 2020, previously shown to occur due to low rate of laboratory testing for SARS‐CoV‐2, reporting delay, inadequate access to medical care, and its poor quality, leading to the low sensitivity of epidemiological surveillance and poor outcomes, often without laboratory confirmation of the cause of death. Methods: Excess mortality due to COVID‐19 was estimated directly based on various data sources, and indirectly, based on the difference between the observed and expected number of deaths from serious acute respiratory infection (SARI) and all‐natural causes in 2020 had there been no COVID‐19. The absence of laboratory testing for SARS‐CoV‐2 was adjusted based on the proportion of those who tested positive among the tested individuals whose death was attributed to COVID‐19. Least absolute shrinkage and selection operator (lasso) were used to improve prediction of likely mortality without COVID‐19 in 2020. Results: Under‐reporting of COVID‐19 deaths was 22.62%, with a corresponding mortality rate per 100 000 inhabitants of 115 by the direct method, 71–76 by the indirect methods based on the excess SARI mortality and 95–104 by excess mortality due to natural causes. COVID‐19 was the third cause of mortality that contributed directly with 18%, and indirectly with additional 10–11% to all deaths in Brazil in 2020. Conclusions: Underestimation of COVID‐19 mortality between 1:5 and 1:4 is likely its lower bound. Timely and accurate surveillance of death causes is of the essence to evaluate the COVID‐19 burden. [ABSTRACT FROM AUTHOR]

Background: The burden of severe influenza virus infections is poorly known, for which surveillance of severe acute respiratory infection (SARI) is encouraged. Hospitalized SARI patients are however not always tested for influenza virus infection. Thus, to estimate the impact of influenza circulation we studied how influenza in primary care relates to intensive care unit (ICU) admissions using a modelling approach. Methods: We used time‐series regression modelling to estimate a) the number of SARI admissions to ICU associated with medically attended influenza infections in primary care; b) how this varies by season; and c) the time lag between SARI and influenza time series. We analysed weekly adult ICU admissions (registry data) and adult influenza incidence (primary care surveillance data) from July 2007 through June 2016. Results: Depending on the year, 0% to 12% of annual SARI admissions were associated with influenza (0‐554 in absolute numbers; population rate: 0/10 000‐0.39/10 000 inhabitants), up to 27% during influenza epidemics. The average optimal fitting lag was +1 week (SARI trend preceding influenza by 1 week), varying between seasons (−1 to +4) with most seasons showing positive lags. Conclusion: Up to 12% of yearly SARI admissions to adult ICU are associated with influenza, but with large year‐to‐year variation and higher during influenza epidemics. In most years, SARI increases earlier than medically attended influenza infections in the general population. SARI surveillance could thus complement influenza‐like illness surveillance by providing an indication of the season‐specific burden of severe influenza infections and potential early warning of influenza activity and severity. [ABSTRACT FROM AUTHOR]

SARI (suppressor of AP‐1, regulated by IFN) impaired tumour growth by promoting apoptosis and inhibiting cell proliferation and tumour angiogenesis in various cancers. However, the role of SARI in regulating tumour‐associated inflammation microenvironment is still elusive. In our study, the colitis‐dependent and ‐independent primary model were established in SARI deficiency mice and immuno‐reconstructive mice to investigate the functional role of SARI in regulating tumour‐associated inflammation microenvironment and primary colon cancer formation. The results have shown that SARI deficiency promotes colitis‐associated cancer (CAC) development only in the presence of colon inflammation. SARI inhibited tumour‐associated macrophages (TAM) infiltration in colon tissues, and SARI deficiency in bone marrow cells has no observed role in the promotion of intestinal tumorigenesis. Mechanism investigations indicated that SARI down‐regulates p‐STAT1 and STAT1 expression in colon cancer cells, following inhibition of MCP‐1/CCR2 axis activation during CAC development. Inverse correlations between SARI expression and macrophage infiltration, MCP‐1 expression and p‐STAT1 expression were also demonstrated in colon malignant tissues. Collectively, our results prove the inhibition role of SARI in colon cancer formation through regulating TAM infiltration. [ABSTRACT FROM AUTHOR]

One difficulty for real‐time tracking of epidemics is related to reporting delay. The reporting delay may be due to laboratory confirmation, logistical problems, infrastructure difficulties, and so on. The ability to correct the available information as quickly as possible is crucial, in terms of decision making such as issuing warnings to the public and local authorities. A Bayesian hierarchical modelling approach is proposed as a flexible way of correcting the reporting delays and to quantify the associated uncertainty. Implementation of the model is fast due to the use of the integrated nested Laplace approximation. The approach is illustrated on dengue fever incidence data in Rio de Janeiro, and severe acute respiratory infection data in the state of Paraná, Brazil. [ABSTRACT FROM AUTHOR]

Objective: The objective was to estimate the number of hospitalizations associated with influenza and RSV using data from severe acute respiratory infection (SARI) sentinel surveillance from El Alto‐La Paz. Bolivia. Methods: All persons who met the case definition for SARI at one sentinel hospital had a clinical sample collected and analyzed by rRT‐PCR for influenza and by indirect immunofluorescence for RSV. The SARI‐influenza and SARI‐RSV case counts were stratified by six age groups. The proportion of cases captured in the sentinel hospital in relation to the non‐sentinel hospitals of area was multiplied by the age‐specific census population, to build the denominators. The annual incidence and a 95% confidence interval (CI) were estimated. Results: During 2012‐2017, n = 2606 SARI cases were reported (average incidence 120/100 000 inhabitants [95% CI: 116‐124]); the average incidence of influenza‐associated SARI hospitalization was 15.3/100 000 (95% CI: 14.1‐16.7), and the average incidence of RSV‐associated SARI hospitalization was 9/100 000 inhabitants (95% CI: 8.1‐10.1). The highest incidence of influenza was among those less than one year of age (average 174.7/100 000 [range: 89.1‐299.5]), followed by those one to four years of age (average 51.8/100 000 [range: 19.8‐115.4]) and then those 65 years of age and older (average 47.7/100 000 [range: 18.8‐117]). For RSV, the highest incidence was highest among those less than one year of age (231/100 000 [range: 119.9‐322.9]). Conclusion: Influenza and RSV represent major causes of hospitalization in La Paz, Bolivia—with the highest burden among children under one year of age. Our estimates support current prevention strategies in this age group. [ABSTRACT FROM AUTHOR]

Objective: Clinical case definitions used for influenza surveillance among hospitalized patients vary and need systematic evaluation. Design, setting and sample: During July 2009-August 2011, we collected clinical data and specimens (nasal and throat swabs) from rural patients hospitalized for acute medical illnesses. Specimens were tested by rRT-PCR for influenza viruses. Main outcome measures: Case definitions evaluated the following: influenza-like illness (ILI: measured fever plus cough or sore throat); severe acute respiratory illness (SARI: ILI with difficulty breathing in ≥5 years, Integrated Management of Childhood Illness-defined pneumonia or severe pneumonia, or physician diagnosed lower respiratory infection in <5 years); acute respiratory infection (ARI: ≥1 of cough, nasal discharge, difficulty breathing or sore throat); febrile acute respiratory illness (FARI: fever plus either cough, sore throat, runny nose, difficulty breathing, or earache). Variants that included 'reported fever' and additional sign-symptom combinations were also evaluated. Results: We enrolled 1043 hospitalized patients, including 257 children <5 years of age (range 1 day-86 years). Seventy-four patients tested influenza virus positive (including 28 A(H1N1)pdm09). Sensitivity(95% CI) and specificity (95% CI) for influenza infection were 78% (67-87) and 60% (57-63) for ILI (measured/reported fever); 37% (26-49) and 78% (75-80) for SARI (measured/reported fever); 82% (72-90) and 57% (54-60) for FARI (measured/reported fever); 88% (78-94) and 45% (42-49) for ARI; and 74% (63-84) and 61% (58-64) for measured/reported fever plus cough. Case definitions including only measured fever had lower sensitivity. Conclusion: ILI and FARI with measured/reported fever provided good balance between sensitivity and specificity among hospitalized patients. The simpler case definition of measured/reported fever plus cough is suited for field surveillance. [ABSTRACT FROM AUTHOR]

Acute viral respiratory infections (AVRI) are a leading cause of morbidity and mortality among all age groups globally. Except for Influenza virus and Respiratory Syncytial virus, mostly viral aetiology of AVRI remains undiagnosed. Lately, human coronaviruses (HCoVs) have emerged as an important aetiology of AVRI. A laboratory based retrospective cross sectional study was conducted in which respiratory samples (throat swabs) of patients (n = 864), with Influenza negative SARI, of all age groups between Jan 2011-Dec 2012 were tested for HCoVs including MERS-CoV using Conventional and real time PCR assays. The prevalence of HCoV among SARI cases was 1.04% (9/864) [95% CI: 0.36-1.72]. Of these four (44.44%) were identified as HCoV OC43, three (33.33%) as HCoV NL63 and two (22.22%) as HCoV 229E. No HCoV HKU1 was detected. The samples were also negative for SARS-CoV and MERS-CoV. The results of this study documents low prevalence of human coronaviruses in SARI cases in south western India and the absence of highly pathogenic human coronaviruses. As the study included only SARI cases the prevalence reported could be an under estimate when it is extrapolated to community. J. Med. Virol. 88:163-165, 2016. © 2015 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]