A beta regression analysis of COVID-19 mortality in Brazil

作     者：Francisco Cribari-Neto 

作者机构：Department of StatisticsFederal University of PernambucoRecifePE50670-901Brazil 

出 版 物：《Infectious Disease Modelling》 (传染病建模（英文）)

年 卷 期：2023年第8卷第2期

页      面：309-317页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：financial support from Conselho Nacional de Desenvolvimento Científico e Tecnologico(CNPq) 

主　　题：Beta regression Coronavirus COVID-19 Pandemic Regression analysis 

摘      要：Brazil was one of the countries most impacted by the COVID-19 pandemic,with a cumulative total of nearly 700,000 deaths by early *** country s federative units were unevenly affected by the pandemic and adopted mitigation measures of different scopes and *** was intense conflict between the federal government and state governments over the relevance and extent of such *** build a simple regression model with good predictive power on state COVID-19 mortality rates in *** results reveal that the federative units urbanization rate and per capita income are important for determining their mean mortality rate and that the number of physicians per 100,000 inhabitants is important for modeling the mortality rate *** on the fitted model,we obtain approximations for the levels of administrative efficiency of local governments in dealing with the pandemic.