Data-driven study of the COVID-19 pandemic via age-structured modelling and prediction of the health system failure in Brazil amid diverse intervention strategies

In this work we propose a data-driven age-structured census-based SIRD-like epidemiological model capable of forecasting the spread of COVID-19 in Brazil. We model the current scenario of closed schools and universities, social distancing of people above sixty years old and voluntary home quarantine...

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Detalles Bibliográficos
Autores principales: Canabarro, Askery, Tenório, Elayne, Martins, Renato, Martins, Laís, Brito, Samuraí, Chaves, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392258/
https://www.ncbi.nlm.nih.gov/pubmed/32730352
http://dx.doi.org/10.1371/journal.pone.0236310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392258/
https://www.ncbi.nlm.nih.gov/pubmed/32730352
http://dx.doi.org/10.1371/journal.pone.0236310

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