Undergraduate Medical, Faculty of Medicine, Federal University of Uberlândia, Uberlândia, Brazil.
Undergraduate Course in Collective Health, Institute of Geography, Federal University of Uberlândia, Uberlândia, Brazil.
Front Public Health. 2021 Apr 13;9:586670. doi: 10.3389/fpubh.2021.586670. eCollection 2021.
The COVID-19 pandemic has the potential to affect all individuals, however in a heterogeneous way. In this sense, identifying specificities of each location is essential to minimize the damage caused by the disease. Therefore, the aim of this research was to assess the vulnerability of 853 municipalities in the second most populous state in Brazil, Minas Gerais (MG), in order to direct public policies. An epidemiological study was carried out based on Multi-Criteria Decision Analysis (MCDA) using indicators with some relation to the process of illness and death caused by COVID-19. The indicators were selected by a literature search and categorized into: demographic, social, economic, health infrastructure, population at risk and epidemiological. The variables were collected in Brazilian government databases at the municipal level and evaluated according to MCDA, through the Program to Support Decision Making based on Indicators (PRADIN). Based on this approach, the study performed simulations by category of indicators and a general simulation that allowed to divide the municipalities into groups of 1-5, with 1 being the least vulnerable and 5 being the most vulnerable. The groupings of municipalities were exposed in their respective mesoregions of MG in a thematic map, using the software Tabwin 32. The results revealed that the mesoregion of Norte de Minas stands out with more than 40% of its municipalities belonging to group 5, according to economic, social and health infrastructure indicators. Similarly, the Jequitinhonha mesoregion exhibited almost 60% of the municipalities in this group for economic and health infrastructure indicators. For demographic and epidemiological criteria, the Metropolitana de Belo Horizonte was the most vulnerable mesoregion, with 42.9 and 26.7% of the municipalities in group 5, respectively. Considering the presence of a population at risk, Zona da Mata reported 42.3% of the municipalities in the most vulnerable group. In the joint analysis of data, the Jequitinhonha, Vale do Mucuri and Vale do Rio Doce mesoregions were the most vulnerable in the state of MG. Thus, through the outlined profile, the present study proved how socioeconomic diversity affects the vulnerability of the municipalities to face COVID-19 outbreak, highlighting the need for interventions directed to each reality.
新型冠状病毒肺炎（COVID-19）有可能影响到所有个体，但影响方式存在差异。从这个意义上说，确定每个地点的特殊性对于将疾病造成的损害降到最低至关重要。因此，本研究旨在评估巴西第二大人口州米纳斯吉拉斯州（MG）的 853 个城市的脆弱性，以便指导公共政策。这是一项基于多准则决策分析（MCDA）的流行病学研究，使用与 COVID-19 导致的疾病和死亡过程有一定关系的指标。这些指标是通过文献检索选择的，并分为：人口统计学、社会、经济、卫生基础设施、高危人群和流行病学。将变量收集在巴西政府的市级数据库中，并根据 MCDA 通过基于指标的决策支持计划（PRADIN）进行评估。基于这种方法，该研究按指标类别进行了模拟，并进行了一次总体模拟，将城市分为 1-5 组，1 组为脆弱性最低，5 组为脆弱性最高。利用软件 Tabwin 32，将这些城市的分组暴露在米纳斯吉拉斯州各自的次区域的专题地图中。结果表明，北米纳斯次区域的经济、社会和卫生基础设施指标中有 40%以上的城市属于第 5 组。同样，杰赛廷霍尼亚次区域的经济和卫生基础设施指标中有近 60%的城市属于第 5 组。在人口统计学和流行病学标准方面，贝洛奥里藏特大都市地区是最脆弱的次区域，5 组中有 42.9%和 26.7%的城市。考虑到高危人群的存在，马托格罗索地区有 42.3%的城市属于最脆弱的组。在数据的联合分析中，杰赛廷霍尼亚、穆库里河谷和里奥多塞河谷次区域是米纳斯吉拉斯州最脆弱的地区。因此，通过概述的概况，本研究证明了社会经济多样性如何影响城市应对 COVID-19 爆发的脆弱性，强调了针对每个现实情况进行干预的必要性。
