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-Reference-Cited by-同舟云学术

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

Published:2020-07-30 Issue:7 Volume:15 Page:e0236310
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Canabarro Askery^ORCID,Tenório Elayne,Martins Renato,Martins Laís,Brito Samuraí,Chaves Rafael

Funder

John Templeton Foundation

Instituto Serrapilheira

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference42 articles.

1. Estimates of the severity of COVID-19 disease

2. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China;Z Wu;JAMA,2020

3. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;C Huang;The Lancet,2020

4. Is a COVID19 Quarantine Justified in Chile or USA Right Now?

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multi-Dimensional Evaluation Model for Epidemic Prevention Policies;CAAI Artificial Intelligence Research;2024-12

2. Game and Reference: Efficient Policy Making for Epidemic Prevention and Control;2024-07-25

3. Capturing the dilution effect of risk‐based grouping with application to COVID‐19 screening;Naval Research Logistics (NRL);2024-07-10

4. Collective Intelligence for Preventing Pandemic Crises: A Model-Centralized Organizational Framework;IEEE Systems, Man, and Cybernetics Magazine;2024-07

5. An Agent-Based Model for Disease Epidemics in Greece;Information;2024-03-07