Epidemiological Monitoring of COVID-19 in a Brazilian City: The Interface between the Economic Policies, Commercial Behavior, and Pandemic Control

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引用次数: 1

Abstract

The new Coronavirus disease (COVID-19) pandemic was responsible for one of the worst public health crises in Brazil, which led to the implementation of economic policies to keep social distance. Our aim is to perform an epidemiological analysis of the COVID-19 pandemic in Uberlândia, Minas Gerais, in 2021, highlighting the impact of government commercial policies on pandemic control. This is an epidemiological, observational, and analytical study with secondary data. We constructed a regression for count data using the Poisson model. Data adherence to the regression was verified by Cameron & Trivedi and the Likelihood Ratio tests. According to the Poisson model, there was a statistically significant association (p < 0.001) between the adoption of rigid commercial interventions and the drop in deaths. Moreover, we revealed a consistency between the economic policies and the number of screening tests applied, which may have contributed to the deaths behavior. This study shows the importance of institutionalizing economic policies and their positive impacts on pandemic control; however, it raises the discussion about the serious repercussions of these measures on population vulnerability.
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巴西城市COVID-19的流行病学监测:经济政策、商业行为和流行病控制之间的界面
新型冠状病毒病(COVID-19)大流行是巴西最严重的公共卫生危机之一,导致巴西实施了保持社会距离的经济政策。我们的目标是在2021年对米纳斯吉拉斯州uberlindia的COVID-19大流行进行流行病学分析,突出政府商业政策对大流行控制的影响。这是一项具有二级数据的流行病学、观察性和分析性研究。我们使用泊松模型对计数数据进行了回归。Cameron & Trivedi和似然比检验验证了回归的数据依从性。根据泊松模型,采用严格的商业干预措施与死亡率下降之间存在统计学上显著的关联(p < 0.001)。此外,我们还揭示了经济政策与应用的筛查测试数量之间的一致性,这可能是导致死亡行为的原因。这项研究表明经济政策制度化的重要性及其对流行病控制的积极影响;但是,它引起了关于这些措施对人口脆弱性的严重影响的讨论。
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