Monitoring epidemics: Lessons frommeasuring population prevalence of the coronavirus.
In: Proceedings of the National Academy of Sciences of the United States of America, Jg. 118 (2021-03-02), Heft 9, S. 1-3
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Ifanyofthesefactorsarealsoassociatedwith coronavirus-related behavior and/or COVID-19 disease status, then this level of nonresponse may have consequential effects onestimatesofprevalence. We concluded that although selective nonresponse could have a large effect on our estimate, even in the worst-case scenario the substantive interpretation of the results would be unchanged - namely that prevalence was low. COMMENTARY Monitoringepidemics:Lessonsfrommeasuring populationprevalenceofthecoronavirus Samuel J. Clark a,1 and Abigail Norris Turner b For the United States, data available from the Centers for Disease Control and Prevention (CDC) on 22 January 2021 (1-3) describe at least 442,000 additional deaths beyond what was expected in 2020 (Fig. [Extracted from the article]
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Titel: |
Monitoring epidemics: Lessons frommeasuring population prevalence of the coronavirus.
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Autor/in / Beteiligte Person: | Clark, Samuel J. ; Norris Turner, Abigail |
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Zeitschrift: | Proceedings of the National Academy of Sciences of the United States of America, Jg. 118 (2021-03-02), Heft 9, S. 1-3 |
Veröffentlichung: | 2021 |
Medientyp: | academicJournal |
ISSN: | 0027-8424 (print) |
DOI: | 10.1073/pnas.2026412118 |
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