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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| Principais autores: | , , , , , |
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| Formato: | article |
| Idioma: | pt_BR |
| Publicado em: |
Public Library of Science
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/30121 |
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