Affiliation:
1. Universidade Estadual de Campinas, Brazil
Abstract
ABSTRACT: Introduction: Demonstrating the results of Social Distancing Strategies (SDS) became a relevant factor to obtain support by the population in São Paulo State and in Brazil. The delay in the processing of PCR tests and the small number of tests available limits the ability of sanitary authorities to make meaningful data available as to the number of cases or the number of deaths due to COVID-19. Methodology: We use a time series analysis of deaths due to COVID-19 referenced to the date of deaths (as opposed to the date in which the test results were obtained). Results: We demonstrate that the SDS adopted in São Paulo City and State clearly brought meaningful results to delay the growth of COVID-19 cases. We also show that by using this type of time series it is possible to identify different trends for regions, allowing for targeted approaches. Additionally, by using a time series which is death-oriented makes it possible to identify, for São Paulo City, the effects of the SDS with the Social Isolation Index (SII) adopted in the state and to make a gross estimate for the SII, which prevents the growth of the disease. Conclusion: The use of a time series of deaths due to COVID-19 referenced to the date of the event allows a better understanding of the effects of the SDS on the progression of the COVID-19 epidemic in São Paulo State, Brazil.
Subject
Epidemiology,Public Health, Environmental and Occupational Health,General Medicine
Reference11 articles.
1. Impact of Non-Pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand;Ferguson NM;Imperial College London,2020
2. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study;Prem K;Lancet Public Health,2020
3. Modelling the COVID-19 Epidemic and Implementation of Population-Wide Interventions in Italy;Giordano G;Nat Med,2020
4. Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries;Flaxman S;Imperial College London,2020
5. Mathematical Model and Simulations of COVID-19 2020 Outbreak in New York: Predictions and Implications for Control Measures;Sinha DN,2020
Cited by
23 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