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2. Ethnic differences in the indirect effects of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: a population-based, observational cohort study using the OpenSAFELY platform

Author

Chaturvedi, Nishi, Park, Chloe, Carnemolla, Alisia, Williams, Dylan, Knueppel, Anika, Boyd, Andy, Turner, Emma L., Evans, Katharine M., Thomas, Richard, Berman, Samantha, McLachlan, Stela, Crane, Matthew, Whitehorn, Rebecca, Oakley, Jacqui, Foster, Diane, Woodward, Hannah, Campbell, Kirsteen C., Timpson, Nicholas, Kwong, Alex, Soares, Ana Goncalves, Griffith, Gareth, Toms, Renin, Jones, Louise, Annie, Herbert, Mitchell, Ruth, Palmer, Tom, Sterne, Jonathan, Walker, Venexia, Huntley, Lizzie, Fox, Laura, Denholm, Rachel, Knight, Rochelle, Northstone, Kate, Kanagaratnam, Arun, Horne, Elsie, Forbes, Harriet, North, Teri, Taylor, Kurt, Arab, Marwa A.L., Walker, Scott, Coronado, Jose I.C., Karthikeyan, Arun S., Ploubidis, George, Moltrecht, Bettina, Booth, Charlotte, Parsons, Sam, Wielgoszewska, Bozena, Bridger-Staatz, Charis, Steves, Claire, Thompson, Ellen, Garcia, Paz, Cheetham, Nathan, Bowyer, Ruth, Freydin, Maxim, Roberts, Amy, Goldacre, Ben, Walker, Alex, Morley, Jess, Hulme, William, Nab, Linda, Fisher, Louis, MacKenna, Brian, Andrews, Colm, Curtis, Helen, Hopcroft, Lisa, Green, Amelia, Patalay, Praveetha, Maddock, Jane, Patel, Kishan, Stafford, Jean, Jacques, Wels, Tilling, Kate, Macleod, John, McElroy, Eoin, Shah, Anoop, Silverwood, Richard, Denaxas, Spiros, Flaig, Robin, McCartney, Daniel, Campbell, Archie, Tomlinson, Laurie, Tazare, John, Zheng, Bang, Smeeth, Liam, Herrett, Emily, Cowling, Thomas, Mansfield, Kate, Costello, Ruth E., Wang, Kevin, Mansfield, Kathryn, Mahalingasivam, Viyaasan, Douglas, Ian, Langan, Sinead, Brophy, Sinead, Parker, Michael, Kennedy, Jonathan, McEachan, Rosie, Wright, John, Willan, Kathryn, Badrick, Ellena, Santorelli, Gillian, Yang, Tiffany, Hou, Bo, Steptoe, Andrew, Giorgio, Di Gessa, Zhu, Jingmin, Zaninotto, Paola, Wood, Angela, Cezard, Genevieve, Ip, Samantha, Bolton, Tom, Sampri, Alexia, Rafeti, Elena, Almaghrabi, Fatima, Sheikh, Aziz, Shah, Syed A., Katikireddi, Vittal, Shaw, Richard, Hamilton, Olivia, Green, Michael, Kromydas, Theocharis, Kopasker, Daniel, Greaves, Felix, Willans, Robert, Glen, Fiona, Sharp, Steve, Hughes, Alun, Wong, Andrew, Howes, Lee Hamill, Rapala, Alicja, Nigrelli, Lidia, McArdle, Fintan, Beckford, Chelsea, Raman, Betty, Dobson, Richard, Folarin, Amos, Stewart, Callum, Ranjan, Yatharth, Carpentieri, Jd, Sheard, Laura, Fang, Chao, Baz, Sarah, Gibson, Andy, Kellas, John, Neubauer, Stefan, Piechnik, Stefan, Lukaschuk, Elena, Saunders, Laura C., Wild, James M., Smith, Stephen, Jezzard, Peter, Tunnicliffe, Elizabeth, Sanders, Zeena-Britt, Finnigan, Lucy, Ferreira, Vanessa, Green, Mark, Rhead, Rebecca, Kibble, Milla, Wei, Yinghui, Lemanska, Agnieszka, Perez-Reche, Francisco, Piehlmaier, Dominik, Teece, Lucy, Parker, Edward, Walker, Alex J., Inglesby, Peter, Curtis, Helen J., Morton, Caroline E., Morley, Jessica, Mehrkar, Amir, Bacon, Sebastian C.J., Hickman, George, Croker, Richard, Evans, David, Ward, Tom, DeVito, Nicholas J., Green, Amelia C.A., Massey, Jon, Smith, Rebecca M., Hulme, William J., Davy, Simon, Andrews, Colm D., Hopcroft, Lisa E.M., Drysdale, Henry, Dillingham, Iain, Park, Robin Y., Higgins, Rose, Cunningham, Christine, Wiedemann, Milan, Maude, Steven, Macdonald, Orla, Butler-Cole, Ben F.C., O'Dwyer, Thomas, Stables, Catherine L., Wood, Christopher, Brown, Andrew D., Speed, Victoria, Bridges, Lucy, Schaffer, Andrea L., Walters, Caroline E., Rentsch, Christopher T., Bhaskaran, Krishnan, Schultze, Anna, Williamson, Elizabeth J., McDonald, Helen I., Tomlinson, Laurie A., Mathur, Rohini, Eggo, Rosalind M., Wing, Kevin, Wong, Angel Y.S., Grieve, Richard, Grint, Daniel J., Mansfield, Kathryn E., Douglas, Ian J., Evans, Stephen J.W., Walker, Jemma L., Cowling, Thomas E., Herrett, Emily L., Parker, Edward P.K., Bates, Christopher, Cockburn, Jonathan, Parry, John, Hester, Frank, Harper, Sam, O'Hanlon, Shaun, Eavis, Alex, Jarvis, Richard, Avramov, Dima, Griffiths, Paul, Fowles, Aaron, Parkes, Nasreen, Nicholson, Brian, Perera, Rafael, Harrison, David, Khunti, Kamlesh, Sterne, Jonathan AC., Quint, Jennifer, Henderson, Alasdair D., Carreira, Helena, Bidulka, Patrick, Warren-Gash, Charlotte, Hayes, Joseph F., Quint, Jennifer K., Katikireddi, Srinivasa Vittal, and Langan, Sinéad M.

Published
2023
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4. A New Validated Approach for Identifying Childhood Immunizations in Electronic Health Records in the United Kingdom.

Author

Suffel, Anne M., Walker, Jemma L., Campbell, Colin, Carreira, Helena, Warren‐Gash, Charlotte, and McDonald, Helen I.

Abstract

Background: Routinely collected electronic health records (EHR) offer a valuable opportunity to carry out research on immunization uptake, effectiveness, and safety, using large and representative samples of the population. In contrast to other drugs, vaccines do not require electronic prescription in many settings, which may lead to ambiguous coding of vaccination status and timing. Methodology: We propose a comprehensive algorithm to identifying childhood immunizations in routinely collected EHR. In order to deal with ambiguous coding, over‐recording, and backdating in EHR, we suggest an approach combining a wide range of medical codes in combination to identify vaccination events and using appropriate wash‐out periods and quality checks. We illustrate this approach on a cohort of children born between 2006 and 2014 followed up to the age of five in the Clinical Practice Research Datalink (CPRD) Aurum, a UK primary care dataset of EHR, and validate the results against national estimates of vaccine coverage by NHS Digital and Public Health England. Results: Our algorithm reproduced estimates of vaccination coverage, which are comparable to official national estimates and allows to approximate the age at vaccination. Electronic prescription data only do not cover vaccination events sufficiently. Conclusion: Our new proposed method could be used to provide a more accurate estimation of vaccination coverage and timing of vaccination for researchers and policymakers using EHR. As with all observational research using real‐world data, it is important that researchers understand the context of the used dataset used and the clinical practice of recording. [ABSTRACT FROM AUTHOR]

Published
2024
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5. UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records

Author

Walker, Jemma L., Grint, Daniel J., Strongman, Helen, Eggo, Rosalind M., Peppa, Maria, Minassian, Caroline, Mansfield, Kathryn E., Rentsch, Christopher T., Douglas, Ian J., Mathur, Rohini, Wong, Angel Y. S., Quint, Jennifer K., Andrews, Nick, Bernal, Jamie Lopez, Scott, J. Anthony, Ramsay, Mary, Smeeth, Liam, and McDonald, Helen I.

Published
2021
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7. Ethnic differences in the indirect effects of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: a population-based, observational cohort study using the OpenSAFELY platform

Author

Costello, Ruth E., primary, Tazare, John, additional, Piehlmaier, Dominik, additional, Herrett, Emily, additional, Parker, Edward P.K., additional, Zheng, Bang, additional, Mansfield, Kathryn E., additional, Henderson, Alasdair D., additional, Carreira, Helena, additional, Bidulka, Patrick, additional, Wong, Angel Y.S., additional, Warren-Gash, Charlotte, additional, Hayes, Joseph F., additional, Quint, Jennifer K., additional, MacKenna, Brian, additional, Mehrkar, Amir, additional, Eggo, Rosalind M., additional, Katikireddi, Srinivasa Vittal, additional, Tomlinson, Laurie, additional, Langan, Sinéad M., additional, Mathur, Rohini, additional, Chaturvedi, Nishi, additional, Park, Chloe, additional, Carnemolla, Alisia, additional, Williams, Dylan, additional, Knueppel, Anika, additional, Boyd, Andy, additional, Turner, Emma L., additional, Evans, Katharine M., additional, Thomas, Richard, additional, Berman, Samantha, additional, McLachlan, Stela, additional, Crane, Matthew, additional, Whitehorn, Rebecca, additional, Oakley, Jacqui, additional, Foster, Diane, additional, Woodward, Hannah, additional, Campbell, Kirsteen C., additional, Timpson, Nicholas, additional, Kwong, Alex, additional, Soares, Ana Goncalves, additional, Griffith, Gareth, additional, Toms, Renin, additional, Jones, Louise, additional, Annie, Herbert, additional, Mitchell, Ruth, additional, Palmer, Tom, additional, Sterne, Jonathan, additional, Walker, Venexia, additional, Huntley, Lizzie, additional, Fox, Laura, additional, Denholm, Rachel, additional, Knight, Rochelle, additional, Northstone, Kate, additional, Kanagaratnam, Arun, additional, Horne, Elsie, additional, Forbes, Harriet, additional, North, Teri, additional, Taylor, Kurt, additional, Arab, Marwa A.L., additional, Walker, Scott, additional, Coronado, Jose I.C., additional, Karthikeyan, Arun S., additional, Ploubidis, George, additional, Moltrecht, Bettina, additional, Booth, Charlotte, additional, Parsons, Sam, additional, Wielgoszewska, Bozena, additional, Bridger-Staatz, Charis, additional, Steves, Claire, additional, Thompson, Ellen, additional, Garcia, Paz, additional, Cheetham, Nathan, additional, Bowyer, Ruth, additional, Freydin, Maxim, additional, Roberts, Amy, additional, Goldacre, Ben, additional, Walker, Alex, additional, Morley, Jess, additional, Hulme, William, additional, Nab, Linda, additional, Fisher, Louis, additional, Andrews, Colm, additional, Curtis, Helen, additional, Hopcroft, Lisa, additional, Green, Amelia, additional, Patalay, Praveetha, additional, Maddock, Jane, additional, Patel, Kishan, additional, Stafford, Jean, additional, Jacques, Wels, additional, Tilling, Kate, additional, Macleod, John, additional, McElroy, Eoin, additional, Shah, Anoop, additional, Silverwood, Richard, additional, Denaxas, Spiros, additional, Flaig, Robin, additional, McCartney, Daniel, additional, Campbell, Archie, additional, Smeeth, Liam, additional, Cowling, Thomas, additional, Mansfield, Kate, additional, Costello, Ruth E., additional, Wang, Kevin, additional, Mansfield, Kathryn, additional, Mahalingasivam, Viyaasan, additional, Douglas, Ian, additional, Langan, Sinead, additional, Brophy, Sinead, additional, Parker, Michael, additional, Kennedy, Jonathan, additional, McEachan, Rosie, additional, Wright, John, additional, Willan, Kathryn, additional, Badrick, Ellena, additional, Santorelli, Gillian, additional, Yang, Tiffany, additional, Hou, Bo, additional, Steptoe, Andrew, additional, Giorgio, Di Gessa, additional, Zhu, Jingmin, additional, Zaninotto, Paola, additional, Wood, Angela, additional, Cezard, Genevieve, additional, Ip, Samantha, additional, Bolton, Tom, additional, Sampri, Alexia, additional, Rafeti, Elena, additional, Almaghrabi, Fatima, additional, Sheikh, Aziz, additional, Shah, Syed A., additional, Katikireddi, Vittal, additional, Shaw, Richard, additional, Hamilton, Olivia, additional, Green, Michael, additional, Kromydas, Theocharis, additional, Kopasker, Daniel, additional, Greaves, Felix, additional, Willans, Robert, additional, Glen, Fiona, additional, Sharp, Steve, additional, Hughes, Alun, additional, Wong, Andrew, additional, Howes, Lee Hamill, additional, Rapala, Alicja, additional, Nigrelli, Lidia, additional, McArdle, Fintan, additional, Beckford, Chelsea, additional, Raman, Betty, additional, Dobson, Richard, additional, Folarin, Amos, additional, Stewart, Callum, additional, Ranjan, Yatharth, additional, Carpentieri, Jd, additional, Sheard, Laura, additional, Fang, Chao, additional, Baz, Sarah, additional, Gibson, Andy, additional, Kellas, John, additional, Neubauer, Stefan, additional, Piechnik, Stefan, additional, Lukaschuk, Elena, additional, Saunders, Laura C., additional, Wild, James M., additional, Smith, Stephen, additional, Jezzard, Peter, additional, Tunnicliffe, Elizabeth, additional, Sanders, Zeena-Britt, additional, Finnigan, Lucy, additional, Ferreira, Vanessa, additional, Green, Mark, additional, Rhead, Rebecca, additional, Kibble, Milla, additional, Wei, Yinghui, additional, Lemanska, Agnieszka, additional, Perez-Reche, Francisco, additional, Teece, Lucy, additional, Parker, Edward, additional, Walker, Alex J., additional, Inglesby, Peter, additional, Curtis, Helen J., additional, Morton, Caroline E., additional, Morley, Jessica, additional, Bacon, Sebastian C.J., additional, Hickman, George, additional, Croker, Richard, additional, Evans, David, additional, Ward, Tom, additional, DeVito, Nicholas J., additional, Green, Amelia C.A., additional, Massey, Jon, additional, Smith, Rebecca M., additional, Hulme, William J., additional, Davy, Simon, additional, Andrews, Colm D., additional, Hopcroft, Lisa E.M., additional, Drysdale, Henry, additional, Dillingham, Iain, additional, Park, Robin Y., additional, Higgins, Rose, additional, Cunningham, Christine, additional, Wiedemann, Milan, additional, Maude, Steven, additional, Macdonald, Orla, additional, Butler-Cole, Ben F.C., additional, O'Dwyer, Thomas, additional, Stables, Catherine L., additional, Wood, Christopher, additional, Brown, Andrew D., additional, Speed, Victoria, additional, Bridges, Lucy, additional, Schaffer, Andrea L., additional, Walters, Caroline E., additional, Rentsch, Christopher T., additional, Bhaskaran, Krishnan, additional, Schultze, Anna, additional, Williamson, Elizabeth J., additional, McDonald, Helen I., additional, Tomlinson, Laurie A., additional, Wing, Kevin, additional, Grieve, Richard, additional, Grint, Daniel J., additional, Douglas, Ian J., additional, Evans, Stephen J.W., additional, Walker, Jemma L., additional, Cowling, Thomas E., additional, Herrett, Emily L., additional, Bates, Christopher, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, O'Hanlon, Shaun, additional, Eavis, Alex, additional, Jarvis, Richard, additional, Avramov, Dima, additional, Griffiths, Paul, additional, Fowles, Aaron, additional, Parkes, Nasreen, additional, Nicholson, Brian, additional, Perera, Rafael, additional, Harrison, David, additional, Khunti, Kamlesh, additional, Sterne, Jonathan AC., additional, and Quint, Jennifer, additional

Published
2023
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12. Safety of COVID-19 vaccination and acute neurological events: A self-controlled case series in England using the OpenSAFELY platform

Author

Walker, Jemma L, primary, Schultze, Anna, additional, Tazare, John, additional, Tamborska, Arina, additional, Singh, Bhagteshwar, additional, Donegan, Katherine, additional, Stowe, Julia, additional, Morton, Caroline E, additional, Hulme, William J, additional, Curtis, Helen J, additional, Williamson, Elizabeth J, additional, Mehrkar, Amir, additional, Eggo, Rosalind M, additional, Rentsch, Christopher T, additional, Mathur, Rohini, additional, Bacon, Sebastian, additional, Walker, Alex J, additional, Davy, Simon, additional, Evans, David, additional, Inglesby, Peter, additional, Hickman, George, additional, MacKenna, Brian, additional, Tomlinson, Laurie, additional, CA Green, Amelia, additional, Fisher, Louis, additional, Cockburn, Jonathan, additional, Parry, John, additional, Hester, Frank, additional, Harper, Sam, additional, Bates, Christopher, additional, Evans, Stephen JW, additional, Solomon, Tom, additional, Andrews, Nick J, additional, Douglas, Ian J, additional, Goldacre, Ben, additional, Smeeth, Liam, additional, and McDonald, Helen I, additional

Published
2022
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14. Additional file 1 of UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records

Author

Walker, Jemma L., Grint, Daniel J., Strongman, Helen, Eggo, Rosalind M., Peppa, Maria, Minassian, Caroline, Mansfield, Kathryn E., Rentsch, Christopher T., Douglas, Ian J., Mathur, Rohini, Wong, Angel Y. S., Quint, Jennifer K., Andrews, Nick, Bernal, Jamie Lopez, J. Anthony Scott, Ramsay, Mary, Smeeth, Liam, and McDonald, Helen I.

Abstract

Additional file 1: Supplementary Table 1. Study definitions of underlying health conditions and pregnancy. Supplementary Table 2. Study population characteristics and point prevalence of the COVID-19 at-risk population on 5 March 2014 in the United Kingdom using standalone primary care data, N = 4,730,254. Supplementary Table 3. The at-risk population prevalence on 5 March 2019 stratified by age and sex. Supplementary Table 4. At-risk prevalence estimates on 5 March 2019 with and without individuals who left CPRD between 1st January and 5th March 2019. Supplementary Figure 1. Point prevalence of the at-risk group and contributing underlying health conditions by region on 5 March 2014 compared to 5 March 2019 (2019 does not include any individuals in the North East or East Midlands regions; x-axis scales vary by condition).

Published
2021
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15. Seasonal Influenza Vaccination During Pregnancy and the Risk of Major Congenital Malformations in Live-born Infants: A 2010-2016 Historical Cohort Study

Author

Peppa, Maria, Thomas, Sara L, Minassian, Caroline, Walker, Jemma L, McDonald, Helen I, Andrews, Nick J, Kempley, Stephen T, and Mangtani, Punam

Abstract

BACKGROUND: Available evidence indicates that seasonal inactivated influenza vaccination during pregnancy protects both the mother and her newborn and is safe. Nevertheless, ongoing safety assessments are important in sustaining vaccine uptake. Few studies have explored safety in relation to major congenital malformations (MCMs), particularly in the first trimester when most organogenesis occurs. METHODS: Anonymized UK primary care data (the Clinical Practice Research Datalink), including a recently developed Pregnancy Register, were used to identify live-born singletons delivered between 2010 and 2016. Maternal influenza vaccination was determined using primary care records and stratified by trimester. Ascertainment of MCMs from infant primary care records was maximized by linkage to hospitalization data and death certificates. The relationship between vaccination and MCMs recorded in the year after delivery and in early childhood was then assessed using multivariable Cox regression. RESULTS: A total of 78 150 live-birth pregnancies were identified: 6872 (8.8%) were vaccinated in the first trimester, 11 678 (14.9%) in the second, and 12 931 (16.5%) in the third. Overall, 5707 live births resulted in an infant with an MCM recorded in the year after delivery and the adjusted hazard ratio when comparing first-trimester vaccination to no vaccination was 1.06 (99% CI, .94-1.19; P = .2). Results were similar for second- and third-trimester vaccination and for analyses considering MCMs recorded beyond the first birthday. CONCLUSIONS: In this large, population-based historical cohort study there was no evidence to suggest that seasonal influenza vaccine was associated with MCMs when given in the first trimester or subsequently in pregnancy.

Published
2020

16. Early impact of the coronavirus disease (COVID-19) pandemic and physical distancing measures on routine childhood vaccinations in England, January to April 2020

Author

McDonald, Helen I, Tessier, Elise, White, Joanne M, Woodruff, Matthew, Knowles, Charlotte, Bates, Chris, Parry, John, Walker, Jemma L, Scott, J Anthony, Smeeth, Liam, Yarwood, Joanne, Ramsay, Mary, and Edelstein, Michael

Abstract

Using electronic health records, we assessed the early impact of coronavirus disease (COVID-19) on routine childhood vaccination in England by 26 April 2020. Measles-mumps-rubella vaccination counts fell from February 2020, and in the 3 weeks after introduction of physical distancing measures were 19.8% lower (95% confidence interval: -20.7 to -18.9) than the same period in 2019, before improving in mid-April. A gradual decline in hexavalent vaccination counts throughout 2020 was not accentuated by physical distancing.

Published
2020

18. Seasonal Influenza Vaccination During Pregnancy and the Risk of Major Congenital Malformations in Live-born Infants: A 2010–2016 Historical Cohort Study.

Author

Peppa, Maria, Thomas, Sara L, Minassian, Caroline, Walker, Jemma L, McDonald, Helen I, Andrews, Nick J, Kempley, Stephen T, and Mangtani, Punam

Subjects
REPORTING of diseases, INFLUENZA vaccines, IMMUNIZATION, ACQUISITION of data methodology, CONFIDENCE intervals, FIRST trimester of pregnancy, MULTIPLE regression analysis, HUMAN abnormalities, CHILDREN'S accident prevention, PRIMARY health care, SEASONAL influenza, MEDICAL records, DESCRIPTIVE statistics, LONGITUDINAL method, DEATH certificates, HEALTH promotion, PATIENT safety, DISEASE risk factors, PREGNANCY
Abstract

Background Available evidence indicates that seasonal inactivated influenza vaccination during pregnancy protects both the mother and her newborn and is safe. Nevertheless, ongoing safety assessments are important in sustaining vaccine uptake. Few studies have explored safety in relation to major congenital malformations (MCMs), particularly in the first trimester when most organogenesis occurs. Methods Anonymized UK primary care data (the Clinical Practice Research Datalink), including a recently developed Pregnancy Register, were used to identify live-born singletons delivered between 2010 and 2016. Maternal influenza vaccination was determined using primary care records and stratified by trimester. Ascertainment of MCMs from infant primary care records was maximized by linkage to hospitalization data and death certificates. The relationship between vaccination and MCMs recorded in the year after delivery and in early childhood was then assessed using multivariable Cox regression. Results A total of 78 150 live-birth pregnancies were identified: 6872 (8.8%) were vaccinated in the first trimester, 11 678 (14.9%) in the second, and 12 931 (16.5%) in the third. Overall, 5707 live births resulted in an infant with an MCM recorded in the year after delivery and the adjusted hazard ratio when comparing first-trimester vaccination to no vaccination was 1.06 (99% CI,.94–1.19; P =.2). Results were similar for second- and third-trimester vaccination and for analyses considering MCMs recorded beyond the first birthday. Conclusions In this large, population-based historical cohort study there was no evidence to suggest that seasonal influenza vaccine was associated with MCMs when given in the first trimester or subsequently in pregnancy. [ABSTRACT FROM AUTHOR]

Published
2021
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19. UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records

Author

Walker, Jemma L, primary, Grint, Daniel J, additional, Strongman, Helen, additional, Eggo, Rosalind M, additional, Peppa, Maria, additional, Minassian, Caroline, additional, Mansfield, Kathryn E, additional, Rentsch, Christopher T, additional, Douglas, Ian J, additional, Mathur, Rohini, additional, Wong, Angel YS, additional, Quint, Jennifer K, additional, Andrews, Nick, additional, Bernal, Jamie Lopez, additional, Scott, J Anthony, additional, Ramsay, Mary, additional, Smeeth, Liam, additional, and McDonald, Helen, additional

Published
2020
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21. COVID-19 in Great Britain: epidemiological and clinical characteristics of the first few hundred (FF100) cases: a descriptive case series and case control analysis

Author

Boddington, Nicola L, primary, Charlett, Andre, additional, Elgohari, Suzanne, additional, Walker, Jemma L, additional, Mcdonald, Helen, additional, Byers, Chloe, additional, Coughlan, Laura, additional, Garcia Vilaplana, Tatiana, additional, Whillock, Rosie, additional, Sinnathamby, Mary, additional, Panagiotopoulos, Nikolaos, additional, Letley, Louise, additional, MacDonald, Pauline, additional, Vivancos, Roberto, additional, Edeghere, Obaghe, additional, Shingleton, Joseph, additional, Bennett, Emma, additional, Grint, Daniel J, additional, Strongman, Helen, additional, Mansfield, Kathryn E, additional, Rentsch, Christopher, additional, Minassian, Caroline, additional, Douglas, Ian J, additional, Mathur, Rohini, additional, Peppa, Maria, additional, Cottrell, Simon, additional, McMenamin, Jim, additional, Zambon, Maria, additional, Ramsay, Mary, additional, Dabrera, Gavin, additional, Saliba, Vanessa, additional, and Lopez Bernal, Jamie, additional

Published
2020
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22. Early impact of the coronavirus disease (COVID-19) pandemic and physical distancing measures on routine childhood vaccinations in England, January to April 2020

Author

McDonald, Helen I, primary, Tessier, Elise, additional, White, Joanne M, additional, Woodruff, Matthew, additional, Knowles, Charlotte, additional, Bates, Chris, additional, Parry, John, additional, Walker, Jemma L, additional, Scott, J Anthony, additional, Smeeth, Liam, additional, Yarwood, Joanne, additional, Ramsay, Mary, additional, and Edelstein, Michael, additional

Published
2020
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23. Early impact of the COVID-19 pandemic and social distancing measures on routine childhood vaccinations in England, January to April 2020

Author

McDonald, Helen I, primary, Tessier, Elise, additional, White, Joanne M, additional, Woodruff, Matthew, additional, Knowles, Charlotte, additional, Bates, Chris, additional, Parry, John, additional, Walker, Jemma L, additional, Scott, J. Anthony, additional, Smeeth, Liam, additional, Yarwood, Joanne, additional, Ramsay, Mary, additional, and Edelstein, Michael, additional

Published
2020
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26. Zoster vaccination inequalities: A population based cohort study using linked data from the UK Clinical Practice Research Datalink

Author

Jain, Anu, Walker, Jemma L., Mathur, Rohini, Forbes, Harriet J., Langan, Sinéad M., Smeeth, Liam, van Hoek, Albert J., and Thomas, Sara L.

Subjects
Male, Viral Diseases, Infectious Disease Control, Epidemiology, Science, Immunology, Social Sciences, Geographical locations, Ethnic Epidemiology, Cohort Studies, Risk Factors, Medicine and Health Sciences, Ethnicities, Psychology, Herpes Zoster Vaccine, Humans, Public and Occupational Health, European Union, Healthcare Disparities, Aged, Pharmacology, Vaccines, Primary Health Care, Vaccination, Biology and Life Sciences, Drugs, Vaccination and Immunization, Immunosuppressives, United Kingdom, Influenza, Europe, Infectious Diseases, England, Socioeconomic Factors, People and Places, Medicine, Population Groupings, Sensory Perception, Female, Preventive Medicine, Sensory Deprivation, Research Article, Neuroscience
Abstract

ObjectiveTo quantify inequalities in zoster vaccine uptake by determining its association with socio-demographic factors: age, gender, ethnicity, immigration status, deprivation (at Lower-layer Super Output Area-level), care home residence and living arrangements.MethodThis population-based cohort study utilised anonymised primary care electronic health records from England (Clinical Practice Research Datalink) linked to deprivation and hospitalisation data. Data from 35,333 individuals from 277 general practices in England and eligible for zoster vaccination during the two-year period (2013-2015) after vaccine introduction were analysed. Logistic regression was used to obtain adjusted odds ratios (aOR) for the association of socio-demographic factors with zoster vaccine uptake for adults aged 70 years (main target group) and adults aged 79 years (catch-up group).ResultsAmongst those eligible for vaccination, 52.4% (n = 18,499) received the vaccine. Socio-demographic factors independently associated with lower zoster vaccine uptake in multivariable analyses were: being older (catch-up group: aged 79 years) aOR = 0.89 (95% confidence interval (CI):0.85-0.93), care home residence (aOR = 0.64 (95%CI: 0.57-0.73)) and living alone (aOR = 0.85 (95%CI: 0.81-0.90)). Uptake decreased with increasing levels of deprivation (p-value for trendConclusionsInequalities in zoster vaccine uptake exist in England; with lower uptake among those of non-White ethnicities, and among those living alone, in a care home and in more deprived areas. Tailored interventions to increase uptake in these social groups should assist in realising the aim of mitigating vaccination inequalities. As care home residents are also at higher risk of zoster, improving the uptake of zoster vaccination in this group will also mitigate inequalities in zoster burden.

Published
2018

29. Assessment of Effectiveness of Seasonal Influenza Vaccination During Pregnancy in Preventing Influenza Infection in Infants in England, 2013-2014 and 2014-2015.

Author

Walker, Jemma L, Zhao, Hongxin, Dabrera, Gavin, Andrews, Nick, Thomas, Sarah L, Tsang, Camille, Ellis, Joanna, Donati, Matthew, and Pebody, Richard G

Subjects
*FLU vaccine efficacy, *INFLUENZA, *INFANTS, *VACCINE effectiveness, *INFLUENZA vaccines, *INFLUENZA prevention, *PREVENTION of communicable diseases, *RESEARCH, *IMMUNIZATION, *COMMUNICABLE diseases, *RESEARCH methodology, *EVALUATION research, *MEDICAL cooperation, *COMPARATIVE studies, *PREGNANCY complications, *RESEARCH funding, *INFLUENZA A virus, H3N2 subtype, *INFLUENZA A virus, H1N1 subtype, *VERTICAL transmission (Communicable diseases)
Abstract

Maternal influenza vaccination is increasingly recognized to protect infants from influenza infection in their first 6 months. We used the screening method to estimate vaccine effectiveness (VE) against laboratory-confirmed influenza in infants in England, using newly available uptake data from the Clinical Practice Research Datalink pregnancy register, matched on week of birth and region and adjusted for ethnicity. We found VE of 66% (95% confidence interval [CI], 18%-84%) in the 2013-2014 season and 50% (95% CI, 11%-72%) in 2014-2015, with similar VE against influenza-related hospitalization. VE against the dominant circulating influenza strain was higher, at 78% (95% CI, 16%-94%) against H1N1 in 2013-2014, and 60% (95% CI, 16%-81%) against H3N2 in 2014-2015. [ABSTRACT FROM AUTHOR]

Published
2020
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30. Exome array analysis of adverse reactions to fluoropyrimidine-based therapy for gastrointestinal cancer

Author

Traylor, Matthew, primary, Walker, Jemma L., additional, Corrigan, Adele A., additional, Hernandez, Monica A., additional, Newhouse, Stephen J., additional, Folarin, Amos A., additional, Patel, Hamel, additional, Ross, Paul J., additional, Sanderson, Jeremy D., additional, Spicer, James, additional, Prescott, Natalie J., additional, Mathew, Christopher G., additional, Marinaki, Anthony M., additional, and Lewis, Cathryn M., additional

Published
2018
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