• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

巴西登革热疫情的时空动态:决策洞察。

Space-time dynamics of the dengue epidemic in Brazil, 2024: an insight for decision making.

机构信息

College of Medicine, Federal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Arapiraca, Petrolina, Pernambuco, Alagoas, 56304-917, Brazil.

Research CNPq N2, Postgraduate Program in Family Health, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.

出版信息

BMC Infect Dis. 2024 Sep 27;24(1):1056. doi: 10.1186/s12879-024-09813-z.

DOI:10.1186/s12879-024-09813-z
PMID:39333905
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11430439/
Abstract

BACKGROUND

Dengue is a vector-borne viral infection caused by the dengue virus transmitted to humans primarily by Aedes aegypti. The year 2024 has been a historic year for dengue in Brazil, with the highest number of probable cases ever registered. Herein, we analyze the temporal trend and spatio-temporal dynamics of dengue cases in Brazil during the first nine epidemiological weeks (EW) of 2024.

METHODS

This is an ecological study, including all probable cases of dengue in Brazil during the period, carried out in two steps: time series analysis to assess the temporal trend and spatial analysis to identify high-risk clusters.

RESULTS

1,345,801 probable cases of dengue were reported. The regions with the highest increasing trend were the Northeast with an average epidemiologic week percent change (AEPC) of 52.4 (95% CI: 45.5-59.7; p < 0.001) and the South with 35.9 (95% CI: 27.7-44.5; p < 0.001). There was a statistically significant increasing trend in all states, except Acre (AEPC = -4.1; 95% CI: -16.3-10; p = 0.55), Amapá (AEPC = 1.3; 95% CI: -16.2-22.3; p = 0.9) and Espírito Santo (AEPC = 8.9; 95% CI: -15.7-40.6; p = 0.5). The retrospective space-time analysis showed a cluster within the Northeast, Central-West and Southeast regions, with a radius of 515.3 km, in which 1,267 municipalities and 525,324 of the cases were concentrated (RR = 6.3; p < 0.001). Regarding the spatial variation of the temporal trend, 21 risk areas were found, all of them located in Southeast or Central-West states. The area with the highest relative risk was Minas Gerais state, where 5,748 cases were concentrated (RR = 8.1; p < 0.001). Finally, a purely spatial analysis revealed 25 clusters, the one with the highest relative risk being composed of two municipalities in Acre (RR = 6.9; p < 0.001).

CONCLUSIONS

We described a detailed temporal-spatial analysis of dengue cases in the first EWs of 2024 in Brazil, which were mainly concentrated in the Southeast and Central-West regions. Overall, it is recommended that governments adopt public policies to control the the vector population in high-risk areas, as well as to prevent the spread of dengue fever to other areas of Brazil.

摘要

背景

登革热是一种由登革病毒引起的虫媒病毒感染,主要由埃及伊蚊传播给人类。2024 年是巴西登革热史上具有历史意义的一年,登记的疑似病例数创历史新高。在此,我们分析了 2024 年第一九个流行病学周(EW)期间巴西登革热病例的时间趋势和时空动态。

方法

这是一项包括该期间巴西所有疑似登革热病例的生态学研究,分两步进行:时间序列分析以评估时间趋势,空间分析以确定高风险集群。

结果

共报告 1345801 例疑似登革热病例。增长趋势最高的地区是东北部,平均流行病学周百分比变化(AEPC)为 52.4(95%CI:45.5-59.7;p<0.001)和南部为 35.9(95%CI:27.7-44.5;p<0.001)。除阿克里州(AEPC=-4.1;95%CI:-16.3-10;p=0.55)、阿马帕州(AEPC=1.3;95%CI:-16.2-22.3;p=0.9)和圣埃斯皮里图州(AEPC=8.9;95%CI:-15.7-40.6;p=0.5)外,所有州均呈统计学显著上升趋势。回顾性时空分析显示,东北部、中西部和东南部地区存在一个半径为 515.3km 的集群,其中集中了 1267 个城市和 525324 例病例(RR=6.3;p<0.001)。关于时间趋势的空间变化,发现了 21 个风险区域,全部位于东南部或中西部各州。风险最高的地区是米纳斯吉拉斯州,集中了 5748 例病例(RR=8.1;p<0.001)。最后,纯粹的空间分析显示有 25 个集群,其中风险最高的集群由阿克里州的两个城市组成(RR=6.9;p<0.001)。

结论

我们描述了 2024 年第一九个流行病学周期间巴西登革热病例的详细时空分析,主要集中在东南部和中西部地区。总体而言,建议政府采取公共政策来控制高风险地区的媒介种群,并防止登革热传播到巴西其他地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/964e/11430439/2056f81cf388/12879_2024_9813_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/964e/11430439/c63cf88696c7/12879_2024_9813_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/964e/11430439/ede160e50e01/12879_2024_9813_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/964e/11430439/2056f81cf388/12879_2024_9813_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/964e/11430439/c63cf88696c7/12879_2024_9813_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/964e/11430439/ede160e50e01/12879_2024_9813_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/964e/11430439/2056f81cf388/12879_2024_9813_Fig3_HTML.jpg

相似文献

1
Space-time dynamics of the dengue epidemic in Brazil, 2024: an insight for decision making.巴西登革热疫情的时空动态:决策洞察。
BMC Infect Dis. 2024 Sep 27;24(1):1056. doi: 10.1186/s12879-024-09813-z.
2
The spatial and temporal scales of local dengue virus transmission in natural settings: a retrospective analysis.自然环境中局部登革热病毒传播的时空尺度:回顾性分析。
Parasit Vectors. 2018 Feb 2;11(1):79. doi: 10.1186/s13071-018-2662-6.
3
Spatiotemporal dynamics, risk areas and social determinants of dengue in Northeastern Brazil, 2014-2017: an ecological study.2014-2017 年巴西东北部登革热的时空动态、风险区域和社会决定因素:一项生态学研究。
Infect Dis Poverty. 2020 Nov 3;9(1):153. doi: 10.1186/s40249-020-00772-6.
4
Natural Infection of by and in a Transition Area of North-Northeast Brazil.巴西东北-北部过渡地区感染 和 的自然感染情况。
Viruses. 2019 Dec 5;11(12):1126. doi: 10.3390/v11121126.
5
Spatio-temporal dynamics of dengue in Brazil: Seasonal travelling waves and determinants of regional synchrony.巴西登革热的时空动态:季节性传播波和区域同步的决定因素。
PLoS Negl Trop Dis. 2019 Apr 22;13(4):e0007012. doi: 10.1371/journal.pntd.0007012. eCollection 2019 Apr.
6
Spatio-Temporal Cluster Detection of Dengue, Chikungunya, and Zika Viruses' Infection in Rio de Janeiro State from 2010 to 2019.2010 年至 2019 年里约热内卢州登革热、基孔肯雅热和寨卡病毒感染的时空聚集性检测。
Viruses. 2023 Jul 1;15(7):1496. doi: 10.3390/v15071496.
7
The impact of large-scale deployment of mosquitoes on dengue and other -borne diseases in Rio de Janeiro and Niterói, Brazil: study protocol for a controlled interrupted time series analysis using routine disease surveillance data.大规模部署蚊子对巴西里约热内卢和尼泰罗伊登革热和其他虫媒疾病的影响:使用常规疾病监测数据进行对照中断时间序列分析的研究方案。
F1000Res. 2019 Aug 1;8:1328. doi: 10.12688/f1000research.19859.2. eCollection 2019.
8
Determining the association between dengue and social inequality factors in north-eastern Brazil: A spatial modelling.确定巴西东北部登革热与社会不平等因素之间的关联:空间建模。
Geospat Health. 2020 Jun 17;15(1). doi: 10.4081/gh.2020.854.
9
Effectiveness of Wolbachia-infected mosquito deployments in reducing the incidence of dengue and other Aedes-borne diseases in Niterói, Brazil: A quasi-experimental study.巴西尼泰罗伊的沃尔巴克氏体感染蚊子部署降低登革热和其他伊蚊传播疾病发病率的效果:一项准实验研究。
PLoS Negl Trop Dis. 2021 Jul 12;15(7):e0009556. doi: 10.1371/journal.pntd.0009556. eCollection 2021 Jul.
10
Aedes (Stegomyia) albopictus' dynamics influenced by spatiotemporal characteristics in a Brazilian dengue-endemic risk city.在巴西登革热流行风险城市中,白纹伊蚊(埃及伊蚊)的动态受时空特征影响。
Acta Trop. 2016 Dec;164:431-437. doi: 10.1016/j.actatropica.2016.10.010. Epub 2016 Oct 19.

引用本文的文献

1
Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects.利用长短期记忆神经网络以及SHAP驱动的滞后气候和空间效应预测巴西全国的登革热疫情。
BMC Public Health. 2025 Mar 12;25(1):973. doi: 10.1186/s12889-025-22106-7.

本文引用的文献

1
Effects of climate change and human activities on vector-borne diseases.气候变化和人类活动对虫媒传染病的影响。
Nat Rev Microbiol. 2024 Aug;22(8):476-491. doi: 10.1038/s41579-024-01026-0. Epub 2024 Mar 14.
2
Climate change, thermal anomalies, and the recent progression of dengue in Brazil.气候变化、热异常与巴西登革热的近期发展
Sci Rep. 2024 Mar 11;14(1):5948. doi: 10.1038/s41598-024-56044-y.
3
Dengue fever: Brazil rushes out vaccine as climate change fuels unprecedented surge.登革热:随着气候变化导致病例空前激增,巴西紧急推出疫苗。
BMJ. 2024 Feb 26;384:q483. doi: 10.1136/bmj.q483.
4
Zika, chikungunya and co-occurrence in Brazil: space-time clusters and associated environmental-socioeconomic factors.寨卡、基孔肯雅热与巴西的共同流行:时空聚集及相关环境-社会经济因素。
Sci Rep. 2023 Oct 21;13(1):18026. doi: 10.1038/s41598-023-42930-4.
5
[Health and sanitation: an evaluation of public policies for the prevention, control, and contingency of arboviruses in Brazil].[健康与卫生:巴西虫媒病毒预防、控制及应急公共政策评估]
Cien Saude Colet. 2023 Jun;28(6):1767-1776. doi: 10.1590/1413-81232023286.07622022. Epub 2022 Nov 10.
6
Fast expansion of dengue in Brazil.登革热在巴西迅速蔓延。
Lancet Reg Health Am. 2022 May 29;12:100274. doi: 10.1016/j.lana.2022.100274. eCollection 2022 Aug.
7
Temporal trend, space risk and factors associated with the occurrence of dengue in northeast Brazil, 2009-2018.2009-2018 年巴西东北部登革热发生的时间趋势、空间风险及相关因素。
Trans R Soc Trop Med Hyg. 2022 Sep 10;116(9):853-867. doi: 10.1093/trstmh/trac027.
8
Dengue in the cooling off period of the COVID-19 epidemic in Brazil: from the shadows to the spotlight.巴西新冠疫情缓解期的登革热:从幕后走向台前。
Rev Inst Med Trop Sao Paulo. 2022 Jun 17;64:e44. doi: 10.1590/S1678-9946202264044. eCollection 2022.
9
The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil.气候适宜性、城市化和连通性对 21 世纪巴西登革热传播的影响。
PLoS Negl Trop Dis. 2021 Dec 9;15(12):e0009773. doi: 10.1371/journal.pntd.0009773. eCollection 2021 Dec.
10
Knowledge and actions for the control of the vector Aedes aegypti in a municipality in the Legal Amazon.知识和行动以控制亚马孙法定地区一城市中的埃及伊蚊媒介。
Rev Inst Med Trop Sao Paulo. 2021 Aug 16;63:e64. doi: 10.1590/S1678-9946202163064. eCollection 2021.