2011年至2017年阿根廷贝洛奥里藏特市大都会区一个城市登革热疫情和非疫情发生的时空分布。

Selma Costa de Sousa, Juliana Maria Trindade Bezerra, Diogo Tavares Cardoso, Fabrício Thomaz de Oliveira Ker, Giovanna Rotondo de Araújo, Vagner Braga Nunes Coelho, David Soeiro Barbosa
{"title":"2011年至2017年阿根廷贝洛奥里藏特市大都会区一个城市登革热疫情和非疫情发生的时空分布。","authors":"Selma Costa de Sousa, Juliana Maria Trindade Bezerra, Diogo Tavares Cardoso, Fabrício Thomaz de Oliveira Ker, Giovanna Rotondo de Araújo, Vagner Braga Nunes Coelho, David Soeiro Barbosa","doi":"10.1590/1980-549720240023","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To analyze the transmission dynamics of dengue, a public health problem in Brazil and the Metropolitan Region of Belo Horizonte (MRBH).</p><p><strong>Methods: </strong>The spatiotemporal evolution of the occurrence of dengue in the municipality of Contagem, state of Minas Gerais, a region with high arbovirus transmission, was analyzed. Furthermore, epidemic and non-epidemic periods were analyzed, based on probable cases of dengue. This is an ecological study that used the Notifiable Diseases Information System (SINAN) national database. The analyses were carried out considering the period from epidemiological week (EW) 40 of 2011 to 39 of 2017. Spatial analysis tools (crude and smoothed incidence rate, directional distribution ellipse, global Moran index and local Moran index, and spatial scanning time with definition of epidemiological risk) were used.</p><p><strong>Results: </strong>The 2012 to 2013 and 2015 to 2016 epidemic cycles presented high incidence rates. The disease was concentrated in more urbanized areas, with a small increase in cases throughout the municipality. Seven statistically significant local clusters and areas with a high rate of cases and accentuated transmission in epidemic cycles were observed throughout the municipality. Spatial autocorrelation of the incidence rate was observed in all periods.</p><p><strong>Conclusion: </strong>The results of the present study highlight a significant and heterogeneous increase in dengue notifications in Contagem over the years, revealing distinct spatial patterns during epidemic and non-epidemic periods. Geoprocessing analysis identified high-risk areas, a piece of knowledge that can optimize the allocation of resources in the prevention and treatment of the disease for that municipality.</p>","PeriodicalId":74697,"journal":{"name":"Revista brasileira de epidemiologia = Brazilian journal of epidemiology","volume":"27 ","pages":"e240023"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11182438/pdf/","citationCount":"0","resultStr":"{\"title\":\"Space-time dispersion of dengue occurrence in epidemic and non-epidemic years in a municipality in the metropolitan region of Belo Horizonte, MG, 2011 to 2017.\",\"authors\":\"Selma Costa de Sousa, Juliana Maria Trindade Bezerra, Diogo Tavares Cardoso, Fabrício Thomaz de Oliveira Ker, Giovanna Rotondo de Araújo, Vagner Braga Nunes Coelho, David Soeiro Barbosa\",\"doi\":\"10.1590/1980-549720240023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To analyze the transmission dynamics of dengue, a public health problem in Brazil and the Metropolitan Region of Belo Horizonte (MRBH).</p><p><strong>Methods: </strong>The spatiotemporal evolution of the occurrence of dengue in the municipality of Contagem, state of Minas Gerais, a region with high arbovirus transmission, was analyzed. Furthermore, epidemic and non-epidemic periods were analyzed, based on probable cases of dengue. This is an ecological study that used the Notifiable Diseases Information System (SINAN) national database. The analyses were carried out considering the period from epidemiological week (EW) 40 of 2011 to 39 of 2017. Spatial analysis tools (crude and smoothed incidence rate, directional distribution ellipse, global Moran index and local Moran index, and spatial scanning time with definition of epidemiological risk) were used.</p><p><strong>Results: </strong>The 2012 to 2013 and 2015 to 2016 epidemic cycles presented high incidence rates. The disease was concentrated in more urbanized areas, with a small increase in cases throughout the municipality. Seven statistically significant local clusters and areas with a high rate of cases and accentuated transmission in epidemic cycles were observed throughout the municipality. Spatial autocorrelation of the incidence rate was observed in all periods.</p><p><strong>Conclusion: </strong>The results of the present study highlight a significant and heterogeneous increase in dengue notifications in Contagem over the years, revealing distinct spatial patterns during epidemic and non-epidemic periods. Geoprocessing analysis identified high-risk areas, a piece of knowledge that can optimize the allocation of resources in the prevention and treatment of the disease for that municipality.</p>\",\"PeriodicalId\":74697,\"journal\":{\"name\":\"Revista brasileira de epidemiologia = Brazilian journal of epidemiology\",\"volume\":\"27 \",\"pages\":\"e240023\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11182438/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista brasileira de epidemiologia = Brazilian journal of epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1590/1980-549720240023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista brasileira de epidemiologia = Brazilian journal of epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/1980-549720240023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的:分析登革热这一巴西和贝洛奥里藏特大区公共卫生问题的传播动态:分析登革热在巴西和贝洛奥里藏特大都会地区(MRBH)的传播动态:方法:分析了登革热在米纳斯吉拉斯州孔塔甘市发生的时空变化,该地区是虫媒病毒传播的高发区。此外,还根据登革热的可能病例分析了流行期和非流行期。这是一项生态学研究,使用了全国应报疾病信息系统(SINAN)数据库。分析时间段为 2011 年流行病学周(EW)40 至 2017 年流行病学周(EW)39。使用了空间分析工具(粗略和平滑发病率、方向分布椭圆、全局莫兰指数和局部莫兰指数,以及定义流行病学风险的空间扫描时间):结果:2012 年至 2013 年和 2015 年至 2016 年的流行周期发病率较高。疾病主要集中在城市化程度较高的地区,整个城市的病例数略有增加。在全市范围内观察到七个具有统计学意义的地方集群和高病例率地区,以及在流行周期中传播加剧的地区。所有时期的发病率都存在空间自相关性:本研究的结果表明,多年来孔塔甘市登革热病例显著增加,且分布不均,揭示了疫情和非疫情期间截然不同的空间模式。地理处理分析确定了高风险地区,这一知识可以优化该市预防和治疗登革热的资源分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Space-time dispersion of dengue occurrence in epidemic and non-epidemic years in a municipality in the metropolitan region of Belo Horizonte, MG, 2011 to 2017.

Objective: To analyze the transmission dynamics of dengue, a public health problem in Brazil and the Metropolitan Region of Belo Horizonte (MRBH).

Methods: The spatiotemporal evolution of the occurrence of dengue in the municipality of Contagem, state of Minas Gerais, a region with high arbovirus transmission, was analyzed. Furthermore, epidemic and non-epidemic periods were analyzed, based on probable cases of dengue. This is an ecological study that used the Notifiable Diseases Information System (SINAN) national database. The analyses were carried out considering the period from epidemiological week (EW) 40 of 2011 to 39 of 2017. Spatial analysis tools (crude and smoothed incidence rate, directional distribution ellipse, global Moran index and local Moran index, and spatial scanning time with definition of epidemiological risk) were used.

Results: The 2012 to 2013 and 2015 to 2016 epidemic cycles presented high incidence rates. The disease was concentrated in more urbanized areas, with a small increase in cases throughout the municipality. Seven statistically significant local clusters and areas with a high rate of cases and accentuated transmission in epidemic cycles were observed throughout the municipality. Spatial autocorrelation of the incidence rate was observed in all periods.

Conclusion: The results of the present study highlight a significant and heterogeneous increase in dengue notifications in Contagem over the years, revealing distinct spatial patterns during epidemic and non-epidemic periods. Geoprocessing analysis identified high-risk areas, a piece of knowledge that can optimize the allocation of resources in the prevention and treatment of the disease for that municipality.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信