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Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment
Epidemic surveillance is a fundamental part of public health practice. Addressing under-ascertainment of cases is relevant in most surveillance systems, especially in pandemics of new diseases with a large spectrum of clinical presentations as it may influence timings of policy implementation and pu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206356/ http://dx.doi.org/10.1159/000507587 |
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author | Ricoca Peixoto, Vasco Nunes, Carla Abrantes, Alexandre |
author_facet | Ricoca Peixoto, Vasco Nunes, Carla Abrantes, Alexandre |
author_sort | Ricoca Peixoto, Vasco |
collection | PubMed |
description | Epidemic surveillance is a fundamental part of public health practice. Addressing under-ascertainment of cases is relevant in most surveillance systems, especially in pandemics of new diseases with a large spectrum of clinical presentations as it may influence timings of policy implementation and public risk perception. From this perspective, this article presents and discusses early evidence on under-ascertainment of COVID-19 and its motifs, options for surveillance, and reflections around their importance to tailor public health measures. In the case of COVID-19, systematically addressing and estimating under-ascertainment of cases is essential to tailor timely public health measures, and communicating these findings is of the utmost importance for policy making and public perception. |
format | Online Article Text |
id | pubmed-7206356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-72063562020-05-11 Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment Ricoca Peixoto, Vasco Nunes, Carla Abrantes, Alexandre Portuguese Journal of Public Health Opinion Article Epidemic surveillance is a fundamental part of public health practice. Addressing under-ascertainment of cases is relevant in most surveillance systems, especially in pandemics of new diseases with a large spectrum of clinical presentations as it may influence timings of policy implementation and public risk perception. From this perspective, this article presents and discusses early evidence on under-ascertainment of COVID-19 and its motifs, options for surveillance, and reflections around their importance to tailor public health measures. In the case of COVID-19, systematically addressing and estimating under-ascertainment of cases is essential to tailor timely public health measures, and communicating these findings is of the utmost importance for policy making and public perception. S. Karger AG 2020-04-09 /pmc/articles/PMC7206356/ http://dx.doi.org/10.1159/000507587 Text en Copyright © 2020 by S. Karger AG, Basel http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes requires written permission. |
spellingShingle | Opinion Article Ricoca Peixoto, Vasco Nunes, Carla Abrantes, Alexandre Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment |
title | Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment |
title_full | Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment |
title_fullStr | Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment |
title_full_unstemmed | Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment |
title_short | Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment |
title_sort | epidemic surveillance of covid-19: considering uncertainty and under-ascertainment |
topic | Opinion Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206356/ http://dx.doi.org/10.1159/000507587 |
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