• 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

解释沙特阿拉伯吉达市登革热发病率的邻里差异。

Explaining Neighbourhood Variations in the Incidence of Dengue Fever in Jeddah City, Saudi Arabia.

机构信息

Department of Administrative and Human Research, Umm Al-Qura University, Makkah 21955, Saudi Arabia.

School of Earth and Environment, University of Canterbury, Christchurch 8140, New Zealand.

出版信息

Int J Environ Res Public Health. 2021 Dec 15;18(24):13220. doi: 10.3390/ijerph182413220.

DOI:10.3390/ijerph182413220
PMID:34948849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8706944/
Abstract

The rapid growth and development of cities is a contributing factor to the rise and persistence of dengue fever (DF) in many areas around the world. Many studies have examined how neighbourhood environmental conditions contribute to dengue fever and its spread, but have not paid enough attention to links between socio-economic conditions and other factors, including population composition, population density, the presence of migrant groups, and neighbourhood environmental conditions. This study examines DF and its distribution across 56 neighbourhoods of Jeddah City, Saudi Arabia, where the incidence of dengue remains high. Using stepwise multiple regression analysis it focuses on the key ecological correlates of DF from 2006-2009, the years of the initial outbreak. Neighbourhood variations in average case rates per 10,000 population (2006-2009) were largely predicted by the Saudi gender ratio and socio-economic status (SES), the respective beta coefficients being 0.56 and 0.32 ( < 0.001). Overall, 77.1% of cases occurred in the poorest neighbourhoods. SES effects, however, are complex and were partly mediated by neighbourhood population density and the presence of migrant groups. SES effects persisted after controls for both factors, suggesting the effect of other structural factors and reflecting a lack of DF awareness and the lack of vector control strategies in poorer neighbourhoods. Neighbourhood environmental conditions, as measured by the presence of surface water, were not significant. It is suggested that future research pay more attention to the different pathways that link neighbourhood social status to dengue and wider health outcomes.

摘要

城市的快速发展是导致世界许多地区登革热(DF)上升和持续存在的一个因素。许多研究都考察了邻里环境条件如何促成登革热及其传播,但没有充分关注社会经济条件与其他因素之间的联系,包括人口构成、人口密度、移民群体的存在以及邻里环境条件。本研究考察了沙特阿拉伯吉达市 56 个街区的登革热及其分布情况,该市的登革热发病率仍然很高。该研究使用逐步多元回归分析,重点关注 2006-2009 年(登革热初始爆发的年份)与 DF 相关的关键生态因素。邻里之间每 10000 人口的平均病例率(2006-2009 年)的差异在很大程度上可以由沙特的性别比例和社会经济地位(SES)来预测,各自的β系数分别为 0.56 和 0.32(<0.001)。总体而言,77.1%的病例发生在最贫困的街区。然而,SES 的影响是复杂的,部分受到邻里人口密度和移民群体存在的影响。在控制了这两个因素后,SES 的影响仍然存在,这表明了其他结构因素的影响,反映了贫困社区缺乏对登革热的认识和缺乏病媒控制策略。邻里环境条件,如地表水的存在,并不重要。研究建议未来的研究更多地关注将邻里社会地位与登革热和更广泛的健康结果联系起来的不同途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35bc/8706944/440c87ffee21/ijerph-18-13220-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35bc/8706944/440c87ffee21/ijerph-18-13220-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35bc/8706944/440c87ffee21/ijerph-18-13220-g001.jpg

相似文献

1
Explaining Neighbourhood Variations in the Incidence of Dengue Fever in Jeddah City, Saudi Arabia.解释沙特阿拉伯吉达市登革热发病率的邻里差异。
Int J Environ Res Public Health. 2021 Dec 15;18(24):13220. doi: 10.3390/ijerph182413220.
2
Evaluation of Neighborhood Socio-Economic Status, as Measured by the Delphi Method, on Dengue Fever Distribution in Jeddah City, Saudi Arabia.基于德尔菲法评估的邻里社会经济地位对沙特阿拉伯吉达市登革热分布的影响。
Int J Environ Res Public Health. 2021 Jun 13;18(12):6407. doi: 10.3390/ijerph18126407.
3
Dengue infection in patients with febrile illness and its relationship to climate factors: A case study in the city of Jeddah, Saudi Arabia, for the period 2010-2014.发热疾病患者的登革热感染及其与气候因素的关系:沙特阿拉伯吉达市2010 - 2014年的案例研究
Acta Trop. 2018 May;181:105-111. doi: 10.1016/j.actatropica.2018.02.014. Epub 2018 Feb 13.
4
Dengue fever in Saudi Arabia: A review of environmental and population factors impacting emergence and spread.沙特阿拉伯登革热:影响登革热出现和传播的环境和人口因素综述。
Travel Med Infect Dis. 2019 Jul-Aug;30:46-53. doi: 10.1016/j.tmaid.2019.04.006. Epub 2019 Apr 10.
5
Modelling the association of dengue fever cases with temperature and relative humidity in Jeddah, Saudi Arabia-A generalised linear model with break-point analysis.沙特阿拉伯吉达登革热病例与温度和相对湿度关联的建模——带断点分析的广义线性模型
Acta Trop. 2017 Apr;168:9-15. doi: 10.1016/j.actatropica.2016.12.034. Epub 2017 Jan 6.
6
The epidemiology of Dengue fever in Saudi Arabia: A systematic review.沙特阿拉伯登革热的流行病学:一项系统综述。
J Infect Public Health. 2016 Mar-Apr;9(2):117-24. doi: 10.1016/j.jiph.2015.05.006. Epub 2015 Jun 20.
7
Temporal and spatial patterns of dengue geographical distribution in Jeddah, Saudi Arabia.沙特阿拉伯吉达市登革热地理分布的时空模式。
J Infect Public Health. 2022 Sep;15(9):1025-1035. doi: 10.1016/j.jiph.2022.08.003. Epub 2022 Aug 10.
8
Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment.在地理信息系统环境中,基于社会经济和环境变量评估登革热风险。
Geospat Health. 2012 May;6(2):171-6. doi: 10.4081/gh.2012.135.
9
Diversity of dengue virus-3 genotype III in Jeddah, Saudi Arabia.沙特阿拉伯吉达登革热病毒3型基因型III的多样性
Acta Trop. 2018 Jul;183:114-118. doi: 10.1016/j.actatropica.2018.04.002. Epub 2018 Apr 3.
10
Determining Risk Factors for Dengue Fever Severity in Jeddah City, a Case-Control Study (2017).在吉达市进行的一项病例对照研究确定登革热严重程度的危险因素(2017 年)。
Pol J Microbiol. 2020 Sep;69(3):331-337. doi: 10.33073/pjm-2020-036. Epub 2020 Aug 26.

引用本文的文献

1
Factors contributing to mosquito-borne disease: A systematic review in the Middle East and North Africa (MENA) region.导致蚊媒疾病的因素:中东和北非(MENA)地区的系统评价
Curr Res Parasitol Vector Borne Dis. 2025 Jun 17;8:100281. doi: 10.1016/j.crpvbd.2025.100281. eCollection 2025.
2
Investigating the Determinants of Dengue Outbreak in Oman: A Study in Seeb.阿曼登革热疫情的决定因素调查:在塞卜的一项研究
J Epidemiol Glob Health. 2024 Dec;14(4):1464-1475. doi: 10.1007/s44197-024-00324-3. Epub 2024 Nov 4.
3
Association Between Hydrological Conditions and Dengue Fever Incidence in Coastal Southeastern China From 2013 to 2019.

本文引用的文献

1
Evaluation of Neighborhood Socio-Economic Status, as Measured by the Delphi Method, on Dengue Fever Distribution in Jeddah City, Saudi Arabia.基于德尔菲法评估的邻里社会经济地位对沙特阿拉伯吉达市登革热分布的影响。
Int J Environ Res Public Health. 2021 Jun 13;18(12):6407. doi: 10.3390/ijerph18126407.
2
Temperature, traveling, slums, and housing drive dengue transmission in a non-endemic metropolis.温度、旅行、贫民窟和住房推动非流行大都市的登革热传播。
PLoS Negl Trop Dis. 2021 Jun 11;15(6):e0009465. doi: 10.1371/journal.pntd.0009465. eCollection 2021 Jun.
3
Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia.
2013 年至 2019 年中国东南部沿海地区水文条件与登革热发病率的关系。
JAMA Netw Open. 2023 Jan 3;6(1):e2249440. doi: 10.1001/jamanetworkopen.2022.49440.
4
Spatio-Temporal Modelling Informing Replacement Releases in a Low Rainfall Climate.低降雨气候下为替代释放提供信息的时空建模
Insects. 2022 Oct 18;13(10):949. doi: 10.3390/insects13100949.
印度尼西亚雅加达登革热的地理异质性和社会生态风险特征。
Geospat Health. 2021 Mar 12;16(1). doi: 10.4081/gh.2021.948.
4
Cross-sectional study to measure household water insecurity and its health outcomes in urban Mexico.墨西哥城市横断面研究,测量家庭用水不安全及其健康结果。
BMJ Open. 2021 Mar 5;11(3):e040825. doi: 10.1136/bmjopen-2020-040825.
5
Spatiotemporal distribution and socioeconomic disparities of dengue, chikungunya and Zika in two Latin American cities from 2007 to 2017.2007 年至 2017 年拉丁美洲两个城市登革热、基孔肯雅热和寨卡病毒的时空分布及社会经济差异。
Trop Med Int Health. 2021 Mar;26(3):301-315. doi: 10.1111/tmi.13530. Epub 2020 Dec 13.
6
Aetiology of fever in returning travellers and migrants: a systematic review and meta-analysis.旅行者和移民发热的病因:系统评价和荟萃分析。
J Travel Med. 2020 Dec 23;27(8). doi: 10.1093/jtm/taaa207.
7
Spatiotemporal and Socioeconomic Risk Factors for Dengue at the Province Level in Vietnam, 2013-2015: Clustering Analysis and Regression Model.2013 - 2015年越南省级登革热的时空及社会经济风险因素:聚类分析与回归模型
Trop Med Infect Dis. 2020 May 19;5(2):81. doi: 10.3390/tropicalmed5020081.
8
The origins of dengue and chikungunya viruses in Ecuador following increased migration from Venezuela and Colombia.厄瓜多尔因委内瑞拉和哥伦比亚移民增加而出现登革热和基孔肯雅热病毒。
BMC Evol Biol. 2020 Feb 19;20(1):31. doi: 10.1186/s12862-020-1596-8.
9
Low socio-economic status associated with increased risk of dengue haemorrhagic fever in Taiwanese patients with dengue fever: a population-based cohort study.低社会经济地位与登革出血热风险增加相关:一项基于人群的队列研究。
Trans R Soc Trop Med Hyg. 2020 Feb 7;114(2):115-120. doi: 10.1093/trstmh/trz103.
10
Space-time dynamics of a triple epidemic: dengue, chikungunya and Zika clusters in the city of Rio de Janeiro.时空动态三重流行:里约热内卢市登革热、基孔肯雅热和寨卡病毒集群。
Proc Biol Sci. 2019 Oct 9;286(1912):20191867. doi: 10.1098/rspb.2019.1867.