João Roberto Cavalcante, Anete Trajman, Eduardo Faerstein
{"title":"巴西国际移民COVID-19死亡率：2020-2022年时空分析","authors":"João Roberto Cavalcante, Anete Trajman, Eduardo Faerstein","doi":"10.1590/S2237-96222024V33E2024631.EN","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To describe the mortality profile and analyze the spatiotemporal distribution of COVID-19 mortality among international migrants residing in Brazil from 2020 to 2022.</p><p><strong>Methods: </strong>This is a descriptive and ecological cross-sectional study using secondary data. Absolute and relative frequencies of the sociodemographic profile and mortality coefficients (MCs) were analyzed. Excess risk and global and local spatial autocorrelation were calculated.</p><p><strong>Results: </strong>A total of 7,737 deaths were recorded during the period, with the highest frequency in 2021 (3,952). Brazil's overall MC was 515/100,000, with higher MCs in the Southeast (751/100,000) and Midwest (525/100,000) macroregions. The predominant death profile was for males (5,041); those aged ≥ 81 years (3,612); those of White race/skin color (5,685); married (3,406); born in Portugal (2,437). Global spatial autocorrelation was identified in 2022, and local spatial autocorrelation throughout the period.</p><p><strong>Conclusion: </strong>The high MC indicates a need for health policy interventions in regions with high migrant population concentrations.</p>","PeriodicalId":51473,"journal":{"name":"Epidemiologia e Servicos de Saude","volume":"33 ","pages":"e2024631"},"PeriodicalIF":2.0000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11776071/pdf/","citationCount":"0","resultStr":"{\"title\":\"COVID-19 mortality among international migrants in Brazil: spatio-temporal analysis, 2020-2022.\",\"authors\":\"João Roberto Cavalcante, Anete Trajman, Eduardo Faerstein\",\"doi\":\"10.1590/S2237-96222024V33E2024631.EN\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To describe the mortality profile and analyze the spatiotemporal distribution of COVID-19 mortality among international migrants residing in Brazil from 2020 to 2022.</p><p><strong>Methods: </strong>This is a descriptive and ecological cross-sectional study using secondary data. Absolute and relative frequencies of the sociodemographic profile and mortality coefficients (MCs) were analyzed. Excess risk and global and local spatial autocorrelation were calculated.</p><p><strong>Results: </strong>A total of 7,737 deaths were recorded during the period, with the highest frequency in 2021 (3,952). Brazil's overall MC was 515/100,000, with higher MCs in the Southeast (751/100,000) and Midwest (525/100,000) macroregions. The predominant death profile was for males (5,041); those aged ≥ 81 years (3,612); those of White race/skin color (5,685); married (3,406); born in Portugal (2,437). Global spatial autocorrelation was identified in 2022, and local spatial autocorrelation throughout the period.</p><p><strong>Conclusion: </strong>The high MC indicates a need for health policy interventions in regions with high migrant population concentrations.</p>\",\"PeriodicalId\":51473,\"journal\":{\"name\":\"Epidemiologia e Servicos de Saude\",\"volume\":\"33 \",\"pages\":\"e2024631\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11776071/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemiologia e Servicos de Saude\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/S2237-96222024V33E2024631.EN\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"Multidisciplinary\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiologia e Servicos de Saude","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/S2237-96222024V33E2024631.EN","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
COVID-19 mortality among international migrants in Brazil: spatio-temporal analysis, 2020-2022.
Objective: To describe the mortality profile and analyze the spatiotemporal distribution of COVID-19 mortality among international migrants residing in Brazil from 2020 to 2022.
Methods: This is a descriptive and ecological cross-sectional study using secondary data. Absolute and relative frequencies of the sociodemographic profile and mortality coefficients (MCs) were analyzed. Excess risk and global and local spatial autocorrelation were calculated.
Results: A total of 7,737 deaths were recorded during the period, with the highest frequency in 2021 (3,952). Brazil's overall MC was 515/100,000, with higher MCs in the Southeast (751/100,000) and Midwest (525/100,000) macroregions. The predominant death profile was for males (5,041); those aged ≥ 81 years (3,612); those of White race/skin color (5,685); married (3,406); born in Portugal (2,437). Global spatial autocorrelation was identified in 2022, and local spatial autocorrelation throughout the period.
Conclusion: The high MC indicates a need for health policy interventions in regions with high migrant population concentrations.
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