Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico

Salvador Ruiz-Correa,Rubén López-Revilla,Fernando Díaz-Barriga,Francisco Marmolejo-Cossío,Viridiana del Carmen Robledo-Valero,Emilio Ernesto Hernández-Huérfano,Leonardo Álvarez-Rivera,Mónica Liliana Rangel-Martínez, Miguel Ángel Lutzow-Steiner,Luis Alfredo Ortiz-Vázquez, Andrea Rebeca Mendoza-Lara, Montserrat Olivo-Rodríguez, Marco Sebastián Galván-Ramírez, Ángel Emanuel Morales-Neri, Víctor Uriel Martínez-Donjuan, Massiel Isabella Cervantes-Irurzo,Andreu Comas-García,Fernando Hernández-Maldonado, Carlos Aguilar-Acosta

International Journal of Medical Informatics（2021）

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摘要

•Mobile phone data enables COVID-19 epidemiologic surveillance and support of appropriate public health interventions in several countries.•We developed and deployed the CDS app for COVID-19 surveillance to survey user’s signs, symptoms, and vulnerabilities.•Assessment of self-reported risk factors by the CDS enables early detection, and evolution of COVID-19 case clusters.

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关键词

COVID-19,SARS-CoV-2,Personal risk index,Vulnerability,Mobile crowdsourcing platform,Geolocalized survey,Point pattern distribution,Risk cluster,Infection hotspot

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