Hélder Limeira Campos, Gabriel Jesus Alves Fernandes, Daphne Galvão de Sousa, Paloma Luna Maranhão Conrado, Évelyn de Oliveira Campos, Ricardo Augusto Barros Dos Santos Filho, Polyana Felipe Ferreira da Costa, Carolina Maria da Silva, George Alessandro Maranhão Conrado, Pauliana Valéria Machado Galvão
{"title":"2019冠状病毒病大流行对超额死亡的影响：描述性研究，伯南布哥，2020-2022。","authors":"Hélder Limeira Campos, Gabriel Jesus Alves Fernandes, Daphne Galvão de Sousa, Paloma Luna Maranhão Conrado, Évelyn de Oliveira Campos, Ricardo Augusto Barros Dos Santos Filho, Polyana Felipe Ferreira da Costa, Carolina Maria da Silva, George Alessandro Maranhão Conrado, Pauliana Valéria Machado Galvão","doi":"10.1590/S2237-96222025v34e20240286.en","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To estimate the excess deaths during the COVID-19 pandemic in Pernambuco between 2020 and 2022.</p><p><strong>Methods: </strong>This descriptive study used data from the Mortality Information System (SIM). The excess deaths, expressed as the observed-to-expected deaths ratio, and the P-score, expressed as the proportional excess deaths, were evaluated. The estimated deaths used historical data from 2015 to 2019 based on linear regression models.</p><p><strong>Results: </strong>The highest proportional excess mortality for 2020 was evidenced in the Regional Health Management Department I, III, and IV (28.0%, 25.9%, and 18.1%); for 2021, in the Regional Health Management Departments I, XII and VIII (35.4%, 24.7% and 23.2%); and for 2022, in the Regional Health Management Departments XI, IV and VII (20.1%, 19.1% and 16.3%).</p><p><strong>Conclusion: </strong>The distribution of excess mortality in Pernambuco varied during the pandemic years and highlighted the inland spread of COVID-19-related deaths.</p>","PeriodicalId":520611,"journal":{"name":"Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil","volume":"34 ","pages":"e20240286"},"PeriodicalIF":2.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12404601/pdf/","citationCount":"0","resultStr":"{\"title\":\"Impacts of the COVID-19 pandemic on excess deaths: descriptive study, Pernambuco, 2020-2022.\",\"authors\":\"Hélder Limeira Campos, Gabriel Jesus Alves Fernandes, Daphne Galvão de Sousa, Paloma Luna Maranhão Conrado, Évelyn de Oliveira Campos, Ricardo Augusto Barros Dos Santos Filho, Polyana Felipe Ferreira da Costa, Carolina Maria da Silva, George Alessandro Maranhão Conrado, Pauliana Valéria Machado Galvão\",\"doi\":\"10.1590/S2237-96222025v34e20240286.en\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To estimate the excess deaths during the COVID-19 pandemic in Pernambuco between 2020 and 2022.</p><p><strong>Methods: </strong>This descriptive study used data from the Mortality Information System (SIM). The excess deaths, expressed as the observed-to-expected deaths ratio, and the P-score, expressed as the proportional excess deaths, were evaluated. The estimated deaths used historical data from 2015 to 2019 based on linear regression models.</p><p><strong>Results: </strong>The highest proportional excess mortality for 2020 was evidenced in the Regional Health Management Department I, III, and IV (28.0%, 25.9%, and 18.1%); for 2021, in the Regional Health Management Departments I, XII and VIII (35.4%, 24.7% and 23.2%); and for 2022, in the Regional Health Management Departments XI, IV and VII (20.1%, 19.1% and 16.3%).</p><p><strong>Conclusion: </strong>The distribution of excess mortality in Pernambuco varied during the pandemic years and highlighted the inland spread of COVID-19-related deaths.</p>\",\"PeriodicalId\":520611,\"journal\":{\"name\":\"Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil\",\"volume\":\"34 \",\"pages\":\"e20240286\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12404601/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/S2237-96222025v34e20240286.en\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/S2237-96222025v34e20240286.en","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Impacts of the COVID-19 pandemic on excess deaths: descriptive study, Pernambuco, 2020-2022.
Objective: To estimate the excess deaths during the COVID-19 pandemic in Pernambuco between 2020 and 2022.
Methods: This descriptive study used data from the Mortality Information System (SIM). The excess deaths, expressed as the observed-to-expected deaths ratio, and the P-score, expressed as the proportional excess deaths, were evaluated. The estimated deaths used historical data from 2015 to 2019 based on linear regression models.
Results: The highest proportional excess mortality for 2020 was evidenced in the Regional Health Management Department I, III, and IV (28.0%, 25.9%, and 18.1%); for 2021, in the Regional Health Management Departments I, XII and VIII (35.4%, 24.7% and 23.2%); and for 2022, in the Regional Health Management Departments XI, IV and VII (20.1%, 19.1% and 16.3%).
Conclusion: The distribution of excess mortality in Pernambuco varied during the pandemic years and highlighted the inland spread of COVID-19-related deaths.
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