Using Social Networks to Estimate the Number of COVID-19 Cases: The Incident (Hidden COVID-19 Cases Network Estimation) Study Protocol

Using Social Networks to Estimate the Number of COVID-19 Cases: The Incident (Hidden COVID-19 Cases Network Estimation) Study Protocol

Recent literature has reported a high percentage of asymptomatic or paucisymptomatic cases in subjects with COVID-19 infection. This proportion can be difficult to quantify; therefore, it constitutes a hidden population. This study aims to develop a proof-of-concept method for estimating the number...

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Bibliographic Details
Main Authors: Honoria Ocagli, Danila Azzolina, Giulia Lorenzoni, Silvia Gallipoli, Matteo Martinato, Aslihan S. Acar, Paola Berchialla, Dario Gregori, on behalf of the INCIDENT Study Group
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:International Journal of Environmental Research and Public Health
Subjects:
COVID-19
NSUM
network scale-up method
hidden population
Online Access:https://www.mdpi.com/1660-4601/18/11/5713

Internet

https://www.mdpi.com/1660-4601/18/11/5713

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