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                <text>Coronavirus</text>
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                <text>Dominio científico: Coronavirus</text>
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              <text>Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment</text>
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              <text>Carla Nunes, Alexandre Abrantes, Vasco Ricoca Peixoto</text>
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              <text>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.</text>
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              <text>Surveillance, underreporting, Surveillance system sensitivity, Under-ascertainment, COVID-19</text>
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              <text>DOI: 10.1159/000507587</text>
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              <text>Portuguese Journal of Public Health</text>
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              <text>Karger</text>
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          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Public aspects of medicine</text>
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