Bratti Frank Terre Bruna Regina, de Oliveira Toso Beatriz Rosana Gonçalves, Reis Luiz Fernando, Johann Jerry Adriani
Centro de Ciências Biológicas e da Saúde, Programa de Pós-graduação Stricto Sensu em Biociências e Saúde, Universidade Estadual do Oeste do Paraná, Cascavel, Brazil.
Pró-Reitoria de Pesquisa de Pós-graduação, Programa de Pós-graduação Stricto Sensu em Engenharia Agrícola, Universidade Estadual do Oeste do Paraná, Cascavel, Brazil.
Front Public Health. 2024 Jul 17;12:1384561. doi: 10.3389/fpubh.2024.1384561. eCollection 2024.
The COVID-19 pandemic had a great impact on several public sectors worldwide, requiring the implementation of public policies in an organized way to contain and control the disease. Thus, this study aimed to analyze public policies to face the COVID-19 pandemic in the State of Paraná, Brazil.
This was a cross-sectional, retrospective, quantitative survey carried out with data from March 2020 to March 2022 in the twenty-two municipalities that host the local health regions. Data collection was documentary, carried out from the municipal website, which is dedicated to making public all expenditures, and epidemiological bulletins released by the Health Department of the state of Paraná. The variables analyzed were New Cases and Deaths, Mortality and Lethality Coefficient, Incidence Rate, Vaccination Coverage, Number of Hospital and ICU beds exclusive to COVID-19, Settled Expenses destined for COVID-19 and coping measures, namely, the Declaration of Public Health Emergency, Curfew, Mandatory use of masks, Businesses closure, Teleworking of risk groups, and Suspension of activities with crowds and of classes. After collection, data underwent descriptive analysis, and subsequently, the correlation of variables was analyzed using the Spearman test. Multiple linear regression was applied using the variable selection method called (BSS). The dependent variables listed were incidence rate, new cases and new deaths.
The results showed that coping measures, as well as the application of resources for the pandemic, were implemented heterogeneously in the municipalities studied, and the progression of the disease, the distribution of beds and vaccination occurred unevenly and may be a reflection of the limited Brazilian national governance. An important correlation was observed between the incidence rate and new deaths with vaccination coverage. In addition, the regression model showed that measures such as mandatory use of masks, closure of shops, suspension of classes, and curfew showed important correlations with the variables incidence rate, cases, and new deaths.
The study highlighted the importance of carrying out a robust analysis of public policies to face emergencies of global importance so that government entities are prepared for future crises of great repercussions, such as the COVID-19 pandemic.
新冠疫情对全球多个公共部门产生了重大影响,需要以有组织的方式实施公共政策来遏制和控制该疾病。因此,本研究旨在分析巴西巴拉那州应对新冠疫情的公共政策。
这是一项横断面、回顾性定量调查,使用2020年3月至2022年3月期间来自当地卫生区域所在的22个城市的数据。数据收集通过文献方式进行,从专门公开所有支出的市政网站以及巴拉那州卫生部发布的流行病学公告中获取。分析的变量包括新增病例和死亡人数、死亡率和致死率系数、发病率、疫苗接种覆盖率、仅用于新冠的医院和重症监护床位数量、用于新冠的既定支出以及应对措施,即宣布公共卫生紧急状态、宵禁、强制佩戴口罩、关闭企业、风险群体远程办公以及暂停人群聚集活动和课程。收集数据后进行描述性分析,随后使用斯皮尔曼检验分析变量之间的相关性。采用名为(BSS)的变量选择方法进行多元线性回归。列出的因变量为发病率、新增病例和新增死亡人数。
结果表明,在所研究的城市中,应对措施以及疫情资源的应用实施情况各异,疾病的进展、床位分布和疫苗接种不均衡,这可能反映了巴西国家治理的有限性。观察到发病率和新增死亡人数与疫苗接种覆盖率之间存在重要相关性。此外,回归模型表明,强制佩戴口罩、关闭商店、停课和宵禁等措施与发病率、病例数和新增死亡人数变量之间存在重要相关性。
该研究强调了对应对具有全球重要性的紧急情况的公共政策进行有力分析的重要性,以便政府实体为未来具有重大影响的危机(如新冠疫情)做好准备。