Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil.

Peixoto, Pedro S; Marcondes, Diego; Peixoto, Cláudia; Oliva, Sérgio M

Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil.

Peixoto, Pedro S; Marcondes, Diego; Peixoto, Cláudia; Oliva, Sérgio M.

Afiliación

Peixoto PS; Department of Applied Mathematics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Marcondes D; Department of Applied Mathematics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Peixoto C; Department of Applied Mathematics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Oliva SM; Department of Applied Mathematics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.

PLoS One ; 15(7): e0235732, 2020.

Article en En | MEDLINE | ID: mdl-32673323

Asunto(s)

Infecciones por Coronavirus/epidemiología; Aplicaciones Móviles; Modelos Biológicos; Neumonía Viral/epidemiología; Brasil/epidemiología; COVID-19; Ciudades/epidemiología; Simulación por Computador; Brotes de Enfermedades; Indicadores de Salud; Humanos; Pandemias; Densidad de Población; Viaje

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Aplicaciones Móviles / Modelos Biológicos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Brasil

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