Extremely high SARS-CoV-2 seroprevalence in a strictly-Orthodox Jewish community in the UK

Gaskell, KM, Johnson, M, Gould, V, Hunt, A, Stone, NR, Waites, W, Kasstan, B, Chantler, T, Lal, S, Roberts, Ch, Goldblatt, D, Eggo, RM and Marks, M. 2021. Extremely high SARS-CoV-2 seroprevalence in a strictly-Orthodox Jewish community in the UK. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002084.

Gaskell, KM, Johnson, M, Gould, V, Hunt, A, Stone, NR, Waites, W, Kasstan, B, Chantler, T, Lal, S, Roberts, Ch, Goldblatt, D, Eggo, RM and Marks, M. Extremely high SARS-CoV-2 seroprevalence in a strictly-Orthodox Jewish community in the UK [Internet]. London School of Hygiene & Tropical Medicine; 2021. Available from: https://doi.org/10.17037/DATA.00002084.

Gaskell, KM, Johnson, M, Gould, V, Hunt, A, Stone, NR, Waites, W, Kasstan, B, Chantler, T, Lal, S, Roberts, Ch, Goldblatt, D, Eggo, RM and Marks, M (2021). Extremely high SARS-CoV-2 seroprevalence in a strictly-Orthodox Jewish community in the UK. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002084.

Description

Ethnic and religious minorities have been disproportionately affected by SARS-CoV-2 worldwide. The UK strictly-Orthodox Jewish community has been severely affected by the pandemic. This group shares characteristics with other ethnic minorities including larger family sizes, higher rates of household crowding and relative socioeconomic deprivation. We studied a UK strictly-Orthodox Jewish population to understand how COVID-19 had spread within this community.

Methods

Description of data capture	We performed a household-focused cross-sectional SARS-CoV-2 serosurvey specific to three antigen targets. Randomly-selected households completed a standardised questionnaire and underwent serological testing with a multiplex assay for SARS-CoV-2 IgG antibodies. We report clinical illness and testing before the serosurvey, seroprevalence stratified by age and gender. We used random-effects models to identify factors associated with infection and antibody titres.
Data capture method	Questionnaire
Date (Date submitted to LSHTM repository)	1 February 2021
Language(s) of written materials	English

People & Groups

Data Creators	Gaskell, KM, Johnson, M, Gould, V, Hunt, A, Stone, NR, Waites, W, Kasstan, B, Chantler, T, Lal, S, Roberts, Ch, Goldblatt, D, Eggo, RM and Marks, M
LSHTM Faculty/Department	Faculty of Infectious and Tropical Diseases > Dept of Clinical Research Faculty of Public Health and Policy > Dept of Global Health and Development
Research Centre	Centre for the Mathematical Modelling of Infectious Diseases
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom