Rosália Elen Santos Ramos, Erica Santos Dos Reis, Leticia Pereira Bezerra, Maria Wilma da Silva Lima, Ana Paula Sampaio Feitosa, Luiz Carlos Alves, Israel Gomes de Amorim Santos, Fábio André Brayner
{"title":"巴西亚马逊河外地区的社会人口、时间序列和疟疾高风险群:一项为期 22 年的研究。","authors":"Rosália Elen Santos Ramos, Erica Santos Dos Reis, Leticia Pereira Bezerra, Maria Wilma da Silva Lima, Ana Paula Sampaio Feitosa, Luiz Carlos Alves, Israel Gomes de Amorim Santos, Fábio André Brayner","doi":"10.1590/0037-8682-0564-2023","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Malaria is an acute febrile parasitic disease that significantly impacts global public health. In Brazil, the most studied endemic area for the disease is the Amazon region. This study aims to analyze temporal, spatial, and spatiotemporal patterns of malaria in the extra-Amazon region of Brazil over a 22-year period.</p><p><strong>Methods: </strong>We conducted a time-series study from 2001 to 2022, encompassing both autochthonous and imported cases. Time trend analysis was employed to assess fluctuations in incidence rates over the years. Spatial clusters of infection risk were identified using the Local Moran Index and Kulldorff's scan.</p><p><strong>Results: </strong>A total of 18,633 malaria cases were identified in the extra-Amazon region, including 1,980 autochthonous, 13,836 imported, and 2,817 of unknown origin. During the first period (2001-2011), 1,348 autochthonous and 9,124 imported cases were reported. In the second period (2012-2022), there were 632 autochthonous and 4,712 imported cases. The state of Espírito Santo exhibited a decreasing trend but maintained the highest incidence rates throughout the study. The number of municipalities at high risk for autochthonous cases declined, with Espírito Santo, Minas Gerais, and Piauí having the most municipalities with high rates. For imported cases, the federative units with the highest numbers in both periods were Ceará, Distrito Federal, Goiás, Minas Gerais, Piauí, and Paraná.</p><p><strong>Conclusions: </strong>The data reveal the areas most affected by malaria and thus of highest priority for implementing control strategies.</p>","PeriodicalId":21199,"journal":{"name":"Revista da Sociedade Brasileira de Medicina Tropical","volume":"57 ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sociodemographic aspects, time series and high-risk clusters of malaria in the extra-Amazon region of Brazil: a 22-year study.\",\"authors\":\"Rosália Elen Santos Ramos, Erica Santos Dos Reis, Leticia Pereira Bezerra, Maria Wilma da Silva Lima, Ana Paula Sampaio Feitosa, Luiz Carlos Alves, Israel Gomes de Amorim Santos, Fábio André Brayner\",\"doi\":\"10.1590/0037-8682-0564-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Malaria is an acute febrile parasitic disease that significantly impacts global public health. In Brazil, the most studied endemic area for the disease is the Amazon region. This study aims to analyze temporal, spatial, and spatiotemporal patterns of malaria in the extra-Amazon region of Brazil over a 22-year period.</p><p><strong>Methods: </strong>We conducted a time-series study from 2001 to 2022, encompassing both autochthonous and imported cases. Time trend analysis was employed to assess fluctuations in incidence rates over the years. Spatial clusters of infection risk were identified using the Local Moran Index and Kulldorff's scan.</p><p><strong>Results: </strong>A total of 18,633 malaria cases were identified in the extra-Amazon region, including 1,980 autochthonous, 13,836 imported, and 2,817 of unknown origin. During the first period (2001-2011), 1,348 autochthonous and 9,124 imported cases were reported. In the second period (2012-2022), there were 632 autochthonous and 4,712 imported cases. The state of Espírito Santo exhibited a decreasing trend but maintained the highest incidence rates throughout the study. The number of municipalities at high risk for autochthonous cases declined, with Espírito Santo, Minas Gerais, and Piauí having the most municipalities with high rates. For imported cases, the federative units with the highest numbers in both periods were Ceará, Distrito Federal, Goiás, Minas Gerais, Piauí, and Paraná.</p><p><strong>Conclusions: </strong>The data reveal the areas most affected by malaria and thus of highest priority for implementing control strategies.</p>\",\"PeriodicalId\":21199,\"journal\":{\"name\":\"Revista da Sociedade Brasileira de Medicina Tropical\",\"volume\":\"57 \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista da Sociedade Brasileira de Medicina Tropical\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1590/0037-8682-0564-2023\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PARASITOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista da Sociedade Brasileira de Medicina Tropical","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1590/0037-8682-0564-2023","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PARASITOLOGY","Score":null,"Total":0}
Sociodemographic aspects, time series and high-risk clusters of malaria in the extra-Amazon region of Brazil: a 22-year study.
Background: Malaria is an acute febrile parasitic disease that significantly impacts global public health. In Brazil, the most studied endemic area for the disease is the Amazon region. This study aims to analyze temporal, spatial, and spatiotemporal patterns of malaria in the extra-Amazon region of Brazil over a 22-year period.
Methods: We conducted a time-series study from 2001 to 2022, encompassing both autochthonous and imported cases. Time trend analysis was employed to assess fluctuations in incidence rates over the years. Spatial clusters of infection risk were identified using the Local Moran Index and Kulldorff's scan.
Results: A total of 18,633 malaria cases were identified in the extra-Amazon region, including 1,980 autochthonous, 13,836 imported, and 2,817 of unknown origin. During the first period (2001-2011), 1,348 autochthonous and 9,124 imported cases were reported. In the second period (2012-2022), there were 632 autochthonous and 4,712 imported cases. The state of Espírito Santo exhibited a decreasing trend but maintained the highest incidence rates throughout the study. The number of municipalities at high risk for autochthonous cases declined, with Espírito Santo, Minas Gerais, and Piauí having the most municipalities with high rates. For imported cases, the federative units with the highest numbers in both periods were Ceará, Distrito Federal, Goiás, Minas Gerais, Piauí, and Paraná.
Conclusions: The data reveal the areas most affected by malaria and thus of highest priority for implementing control strategies.
期刊介绍:
The Journal of the Brazilian Society of Tropical Medicine (JBSTM) isan official journal of the Brazilian Society of Tropical Medicine) with open access. It is amultidisciplinary journal that publishes original researches related totropical diseases, preventive medicine, public health, infectious diseasesand related matters. Preference for publication will be given to articlesreporting original observations or researches. The journal has a peer-reviewsystem for articles acceptance and its periodicity is bimonthly. The Journalof the Brazilian Society of Tropical Medicine is published in English.The journal invites to publication Major Articles, Editorials, Reviewand Mini-Review Articles, Short Communications, Case Reports, TechnicalReports, Images in Infectious Diseases, Letters, Supplements and Obituaries.