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1970
2024
1970 2024
78108 results
  • Dataset: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    Dataset supporting the Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples.
    • Dataset
  • Literature screen: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    Screening results for systematic review in support of Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    • Dataset
  • Literature screen: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    Screening results for systematic review in support of Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    • Dataset
  • Dataset: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    Dataset supporting the Manuscript: Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples.
    • Dataset
  • Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    Mark Ainsworth, Monique Andersson, Kathryn Auckland, J. Kenneth Baillie, Eleanor Barnes, Sally Beer, Amy Beveridge, Sagida Bibi, Luke Blackwell, Martyna Borak, Abbie Bown, Tim Brooks, Nicola A. Burgess-Brown, Susana Camara, Matthew Catton, Kevin K. Chau, Thomas Christott, Elizabeth Clutterbuck, Jesse Coker, Richard Cornall, Stuart Cox, David Crawford-Jones, Derrick W. Crook, Silvia D’Arcangelo, Wanwisa Dejnirattisai, Julie Dequaire, Stavros Dimitriadis, Kate E. Dingle, George Doherty, Christina Dold, Tao Dong, Susanna J. Dunachie, Daniel Ebner, Marc Emmenegger, Alexis Espinosa, David W. Eyre, Rory Fairhead, Shayan Fassih, Conor Feehily, Sally Felle, Alejandra Fernandez-Cid, Maria Fernandez Mendoza, Thomas H. Foord, Thomas Fordwoh, Deborah Fox McKee, John Frater, Veronica Gallardo Sanchez, Nick Gent, Dominique Georgiou, Christopher J. Groves, Bassam Hallis, Peter Hammond, Stephanie B. Hatch, Heli J. Harvala, Jennifer Hill, Sarah J. Hoosdally, Bryn Horsington, Alison Howarth, Tim James, Katie Jeffery, Elizabeth Jones, Anita Justice, Fredrik Karpe, James Kavanagh, David Kim, Richard Kirton, Paul Klenerman, Julian C. Knight, Leonidas Koukouflis, Andrew Kwok, Ullrich Leuschner, Robert Levin, Aline Linder, Teresa Lockett, Sheila F. Lumley, Brian D. Marsden, Jose Martinez, Lucas Martins Ferreira, Lara Mason, Philippa C. Matthews, Alex J. Mentzer, Alexander Mobbs, Juthathip Mongkolsapaya, Jordan Morrow, Matthew Neville, Sarah Oakley, Marta Oliveira, Ashley Otter, Kevin Paddon, Jordan Pascoe, Yanchun Peng, Elena Perez, Prem Kumar Perumal, Tim E. A. Peto, Hayleagh Pickford, Rutger Ploeg, Andrew J. Pollard, Anastasia Richardson, Thomas Ritter, David J. Roberts, Gillian Rodger, Christine S. Rollier, Cathy Rowe, Justine K. Rudkin, Gavin Screaton, Malcolm G. Semple, Alex Sienkiewicz, Laura Silva-Reyes, Donal Skelly, Alberto Sobrino Diaz, Marinou Spyridoula, Lizzie Stafford, Lisa Stockdale, Nicole Stoesser, Teresa Street, David I. Stuart, Angela Sweed, Adan Taylor, Hannah Thraves, HoiPat Tsang, Marije Verheul, Richard Vipond, Timothy M. Walker, Sue Wareing, Yolanda Warren, Charlie Wells, Clare Wilson, Kate Withycombe, Rebecca K. Young
    • Collection
  • Head-to-head benchmark evaluation of the sensitivity and specificity of five immunoassays for SARS-CoV-2 serology on >1500 samples
    Mark Ainsworth, Monique Andersson, Kathryn Auckland, J. Kenneth Baillie, Eleanor Barnes, Sally Beer, Amy Beveridge, Sagida Bibi, Luke Blackwell, Martyna Borak, Abbie Bown, Tim Brooks, Nicola A. Burgess-Brown, Susana Camara, Matthew Catton, Kevin K. Chau, Thomas Christott, Elizabeth Clutterbuck, Jesse Coker, Richard Cornall, Stuart Cox, David Crawford-Jones, Derrick W. Crook, Silvia D’Arcangelo, Wanwisa Dejnirattisai, Julie Dequaire, Stavros Dimitriadis, Kate E. Dingle, George Doherty, Christina Dold, Tao Dong, Susanna J. Dunachie, Daniel Ebner, Marc Emmenegger, Alexis Espinosa, David W. Eyre, Rory Fairhead, Shayan Fassih, Conor Feehily, Sally Felle, Alejandra Fernandez-Cid, Maria Fernandez Mendoza, Thomas H. Foord, Thomas Fordwoh, Deborah Fox McKee, John Frater, Veronica Gallardo Sanchez, Nick Gent, Dominique Georgiou, Christopher J. Groves, Bassam Hallis, Peter Hammond, Stephanie B. Hatch, Heli J. Harvala, Jennifer Hill, Sarah J. Hoosdally, Bryn Horsington, Alison Howarth, Tim James, Katie Jeffery, Elizabeth Jones, Anita Justice, Fredrik Karpe, James Kavanagh, David Kim, Richard Kirton, Paul Klenerman, Julian C. Knight, Leonidas Koukouflis, Andrew Kwok, Ullrich Leuschner, Robert Levin, Aline Linder, Teresa Lockett, Sheila F. Lumley, Brian D. Marsden, Jose Martinez, Lucas Martins Ferreira, Lara Mason, Philippa C. Matthews, Alex J. Mentzer, Alexander Mobbs, Juthathip Mongkolsapaya, Jordan Morrow, Matthew Neville, Sarah Oakley, Marta Oliveira, Ashley Otter, Kevin Paddon, Jordan Pascoe, Yanchun Peng, Elena Perez, Prem Kumar Perumal, Tim E. A. Peto, Hayleagh Pickford, Rutger Ploeg, Andrew J. Pollard, Anastasia Richardson, Thomas Ritter, David J. Roberts, Gillian Rodger, Christine S. Rollier, Cathy Rowe, Justine K. Rudkin, Gavin Screaton, Malcolm G. Semple, Alex Sienkiewicz, Laura Silva-Reyes, Donal Skelly, Alberto Sobrino Diaz, Marinou Spyridoula, Lizzie Stafford, Lisa Stockdale, Nicole Stoesser, Teresa Street, David I. Stuart, Angela Sweed, Adan Taylor, Hannah Thraves, HoiPat Tsang, Marije Verheul, Richard Vipond, Timothy M. Walker, Sue Wareing, Yolanda Warren, Charlie Wells, Clare Wilson, Kate Withycombe, Rebecca K. Young
    • Collection
  • Mapping the human genetic architecture of COVID-19.
    The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3-7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.
    • Text
  • An integrated national scale SARS-CoV-2 genomic surveillance network.
    The Coronavirus Disease 2019 (COVID-19) Genomics UK Consortium (COG-UK) was launched in March, 2020, with £20 million support from UK Research and Innovation, the UK Department of Health and Social Care, and Wellcome Trust. The goal of this consortium is to sequence severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for up to 230 000 patients, health-care workers, and other essential workers in the UK with COVID-19, which will help to enable the tracking of SARS-CoV-2 transmission, identify viral mutations, and integrate with health data to assess how the viral genome interacts with cofactors and consequences of COVID-19.
    • Text
  • Sub-Saharan African Countries’ COVID-19 Research from January 2020 to June 2021
    Data was collected from Scopus using this query: AFFILCOUNTRY ( "South Africa" OR "Nigeria" OR "Angola" OR "Benin" OR "Burkina Faso" OR "Burundi" OR "Cameroon" OR "Cameroun" OR "Canary Islands" OR "Cape Verde" OR "Central African Republic" OR "Chad" OR "Comoros" OR "Congo" OR "Democratic Republic of Congo" OR "DR Congo" OR "Cote D'ivoire" OR "ivory coast" OR "Kenya" OR "Lesotho" OR "Liberia" OR "Madagascar" OR "Malawi" OR "Mali" OR "Mauritius" OR "Mozambique" OR "Mocambique" OR "Namibia" OR "Niger" OR "Principe" OR "Reunion" OR "Rwanda" OR "Sao Tome" OR "Senegal" OR "Seychelles" OR "Sierra Leone" OR "Somalia" OR "Sudan" OR "Swaziland" OR "Tanzania" OR "Togo" OR "Uganda" OR "Zaire" OR "Zambia" OR "Zimbabwe" OR "South Sudan" OR "Ghana" OR "Ethiopia" OR "Botswana" OR "Gabon" OR "Eritrea" OR "Guinea-Bissau" OR "Equatorial Guinea") AND TITLE-ABS-KEY ( "2019 novel coronavirus disease" OR "COVID19" OR "COVID-19 pandemic" OR "SARS-CoV-2 infection" OR "COVID-19 virus disease" OR "2019 novel coronavirus infection" OR "2019-nCoV infection" OR "coronavirus disease 2019" OR "coronavirus disease-19" OR "2019-nCoV disease" OR "COVID-19 virus infection" OR "severe acute respiratory syndrome coronavirus 2" OR "COVID-19" OR "COVID2019" OR "SARSCoV2" OR "SARS coronavirus 2" OR "2019-nCoV" OR "2019nCoV" OR "nCoV2019" OR "nCoV-2019" OR "Wuhan coronavirus" OR "Hubei coronavirus" OR "chin* coronavirus")
    • Dataset
  • National Coronavirus Antibody Survey (NCAS) 2020-21
    Description: Topics covered in the questionnaire are: household members and their characteristics, household income, availability of services, demographic information, medical history, health risk behaviours, symptom history, access to COVID-19 prevention measures, self-perceived risk, and travel habits or physical distancing. A total of 10 109 VPs were approached to participate in the survey, of the 10 109 VPs approached, 5 580 agreed to participate, giving a household response rate of 55%. Of all the VPs approached, 43.1% refused to take part in the survey, and 1.6% of the valid VPs were unoccupied or empty. A total of 16 646 individuals were eligible to participate in the study, of whom 90.87% agreed to be interviewed. Of those who were eligible, 81.9% completed the interview and provided blood specimens. The data set available for dissemination contains 15 127 cases and 156 variables. Abstract: This dataset is a nationwide household-based population survey of SARS-CoV-2 seroprevalence in adolescents 12 years and older in South Africa. Data was collected on two separate rounds using a cross-sectional multi-stage stratified cluster survey design where SARS CoV-2 antibodies were tested first using the Abbott Architect anti-SARS CoV-2 immunoglobulin class G (IgG) chemiluminescent microparticle immunoassay with the final status determined by the Euroimmun Anti-SARS-CoV-2 ELISA (IgG) Euroimmun ® antibody assay. A subset of specimens positive on the Abbott ® assay were selected for analysis using a pseudotyped neutralization assay. Seroprevalence estimates presented are based on the Euroimmun ®assay. Summary statistics were used to describe SARS-CoV-2 Seroprevalence and characteristics of the study population. Bivariate and multivariate logistics regression analysis were used to identify factors associated with SARS-CoV-2 seropositivity. In addition, among the samples tested for neutralization less than two thirds neutralized the D614G and the Beta strains, highlighting the importance of vaccination.
    • Dataset
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