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Sentinel event surveillance to estimate total SARS-CoV-2 infections, United States
Lover, Andrew A.
McAndrew, Thomas.
Acceso Abierto
Atribución-NoComercial-SinDerivadas
10.1101/2020.03.17.20037648
This preprint is now available here: https://www.medrxiv.org/content/10.1101/2020.03.17.20037648v1Human infections with a novel coronavirus (SARS-CoV-2) were first identified via syndromic surveillance in December of 2019 in Wuhan China. Since identification, infections (coronavirus disease-2019; COVID-19) caused by this novel pathogen have spread globally, with more than 180,000 confirmed cases as of March 16, 2020. Effective public health interventions, including social distancing, contact tracing, and isolation/quarantine rely on the rapid and accurate identification of confirmed cases. However, testing capacity (having sufficient tests and laboratory throughput) to support these non-pharmaceutical interventions remains a challenge for containment and mitigation of COVID-19 infections.We undertook a sentinel event strategy (where single health events signal emerging trends) to estimate the incidence of COVID-19 in the US. Data from a recent national conference, the Conservative Political Action Conference, (CPAC) near Washington, DC and from the outbreak in Wuhan, China were used to fit a simple exponential growth model to estimate the total number of incident SARS- CoV-2 infections in the United States on March 1, 2020, and to forecast subsequent infections potentially undetected by current testing strategies. Our analysis and forecasting estimates a total of 54,100 SARS-CoV-2 infections (80% CI 5,600 to 125,300) have occurred in the United States to March 12, 2020.Our forecast predicts that a very substantial number of infections may be currently undetected, and without extensive and far-reaching non-pharmaceutical interventions, the number of infections should be expected to grow at an exponential rate.
Andrew Lover
2020
Artículo
https://www.medrxiv.org/content/medrxiv/early/2020/03/20/2020.03.17.20037648.full.pdf
Inglés
VIRUS RESPIRATORIOS
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