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

•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...

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Veröffentlicht in:	International journal of medical informatics (Shannon, Ireland) Ireland), 2021-09, Vol.153, p.104508-104508, Article 104508
Hauptverfasser:	Ruiz-Correa, Salvador, López-Revilla, Rubén, Díaz-Barriga, Fernando, Marmolejo-Cossío, Francisco, del Carmen Robledo-Valero, Viridiana, Hernández-Huérfano, Emilio Ernesto, Álvarez-Rivera, Leonardo, Rangel-Martínez, Mónica Liliana, Lutzow-Steiner, Miguel Ángel, Ortiz-Vázquez, Luis Alfredo, Mendoza-Lara, Andrea Rebeca, Olivo-Rodríguez, Montserrat, Galván-Ramírez, Marco Sebastián, Morales-Neri, Ángel Emanuel, Martínez-Donjuan, Víctor Uriel, Cervantes-Irurzo, Massiel Isabella, Comas-García, Andreu, Hernández-Maldonado, Fernando, Aguilar-Acosta, Carlos
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Communicable Disease Control COVID-19 Crowdsourcing Female Geolocalized survey Humans Infection hotspot Male Mexico Mobile crowdsourcing platform Personal risk index Point pattern distribution Risk cluster SARS-CoV-2 Self Report Surveys and Questionnaires Vulnerability
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