Population Monitoring of Sars-CoV-2 Infections via Random Sampling During the Covid-19 Pandemic

Bibliographic Data

ID11033360
AuthorsPeter Elliott (0000-0002-7511-5684, Public Health England), Paul Elliott (All authors are with the School of Public Health, Imperial College London, London, United Kingdom. Steven Riley is also with UK Data, Analytics and Surveillance, UK Health Security Agency, London, United Kingdom.), H Ward (0000-0001-8238-5036, Public Health England), Steven Riley (0000-0001-7904-4804, All authors are with the School of Public Health, Imperial College London, London, United Kingdom. Steven Riley is also with UK Data, Analytics and Surveillance, UK Health Security Agency, London, United Kingdom.)
Year2023
Volume113
Issue5
Pages514-516
Publication date2023-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2023.307231
PMID36893368
OpenAlexW4323656306
LanguageEN
References cited8

A s the COVID-19 pandemic took hold in early 2020, most countries were poorly equipped to deal with it.Despite the entreaties of the World Health Organization to "test, test, test," 1 few countries had the infrastructure, test equipment, laboratories, or resources to implement wide-scale testing.With the growing realization that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection could be transmitted by those with mild symptoms and genuinely asymptomatic individuals, 2 it became clear that relying on

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19) · Environmental health · Infectious disease (medical specialty) · Library science · Pandemic · Population · Public health · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · COVID-19 and Mental Health · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Medicine · Virology · Gerontology

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