Leveau Carlos Marcelo, Bastos Leonardo Soares
Instituto de Producción, Economía y Trabajo, Universidad Nacional de Lanús, Remedios de Escalada, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina.
Cad Saude Publica. 2022 May 30;38(5):e00163921. doi: 10.1590/0102-311XES163921. eCollection 2022.
The study aimed to analyze the socio-spatial differences in COVID-19 mortality in the pandemic's three waves in the city of Buenos Aires, Argentina. COVID-19 mortality data were obtained from the COVID-19 Database and reported by the Buenos Aires Autonomous Government from March 7, 2020, to September 30, 2021. Three waves were identified: the first from March to December 2020, the second from December 2020 to March 2021, and the third from March to September 2021. Multivariate regressions were calculated for each wave to analyze the association between risk of COVID-19 mortality in two age groups (0-59 years and 60 years or older) and the percentage of households with unmet basic needs as indicator of neighborhood poverty level, and population density. During the first wave and in both age groups, the neighborhood in the tertile with the highest percentages of households with unmet basic needs showed higher risk of COVID-19 mortality when compared to neighborhoods in the tertile with the lowest percentages of households with unmet basic needs. These inequalities disappeared in the second wave in both age groups, while the third wave saw a similar geographic pattern to the first wave. Higher levels of immunity in neighborhoods with high poverty levels might partially explain the absence of socio-spatial inequalities in the second wave, while the emergence of the gamma and lambda variants could partially explain the return to inequalities observed in the first wave.
该研究旨在分析阿根廷布宜诺斯艾利斯市新冠疫情三波期间新冠病毒肺炎死亡的社会空间差异。新冠病毒肺炎死亡数据取自新冠数据库,由布宜诺斯艾利斯自治政府于2020年3月7日至2021年9月30日期间上报。共识别出三波疫情:第一波从2020年3月至12月,第二波从2020年12月至2021年3月,第三波从2021年3月至9月。针对每一波疫情进行多变量回归分析,以研究两个年龄组(0至59岁和60岁及以上)的新冠病毒肺炎死亡风险与作为邻里贫困水平指标的基本需求未得到满足的家庭百分比以及人口密度之间的关联。在第一波疫情期间,两个年龄组中基本需求未得到满足的家庭百分比处于最高三分位数的邻里,与基本需求未得到满足的家庭百分比处于最低三分位数的邻里相比,新冠病毒肺炎死亡风险更高。在第二波疫情期间,两个年龄组中的这些不平等现象消失了,而第三波疫情呈现出与第一波相似的地理模式。贫困水平较高的邻里免疫力水平较高,这可能部分解释了第二波疫情中社会空间不平等现象的消失,而伽马和拉姆达变异毒株的出现可能部分解释了第一波疫情中不平等现象的再次出现。