Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil (2020)
- Authors:
- USP affiliated authors: PEIXOTO, PEDRO DA SILVA - IME ; PEIXOTO, CLAUDIA MONTEIRO - IME ; OLIVA FILHO, SERGIO MUNIZ - IME ; MARCONDES, DIEGO RIBEIRO - IME
- Unidade: IME
- DOI: 10.1371/journal.pone.0235732
- Subjects: MODELOS MATEMÁTICOS; SURTOS DE DOENÇAS; CORONAVIRUS; DISTRIBUIÇÃO ESPACIAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2020
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
PEIXOTO, Pedro S. et al. Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil. PLOS ONE, v. 15, n. 7, 2020Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0235732. Acesso em: 11 jun. 2024. -
APA
Peixoto, P. S., Marcondes, D., Peixoto, C. M., & Oliva, S. M. (2020). Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil. PLOS ONE, 15( 7). doi:10.1371/journal.pone.0235732 -
NLM
Peixoto PS, Marcondes D, Peixoto CM, Oliva SM. Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil [Internet]. PLOS ONE. 2020 ; 15( 7):[citado 2024 jun. 11 ] Available from: https://doi.org/10.1371/journal.pone.0235732 -
Vancouver
Peixoto PS, Marcondes D, Peixoto CM, Oliva SM. Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil [Internet]. PLOS ONE. 2020 ; 15( 7):[citado 2024 jun. 11 ] Available from: https://doi.org/10.1371/journal.pone.0235732 - A snapshot of a pandemic: the interplay between social isolation and COVID-19 dynamics in Brazil
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Informações sobre o DOI: 10.1371/journal.pone.0235732 (Fonte: oaDOI API)
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