地理信息系统在登革热监测中的应用。
Geographical information systems for dengue surveillance.
机构信息
School of Population Health, University of Queensland, Brisbane, Queensland, Australia.
出版信息
Am J Trop Med Hyg. 2012 May;86(5):753-5. doi: 10.4269/ajtmh.2012.11-0650.
Abstract
This review provides details on the role of Geographical Information Systems (GIS) in current dengue surveillance systems and focuses on the application of open access GIS technology to emphasize its importance in developing countries, where the dengue burden is greatest. It also advocates for increased international collaboration in transboundary disease surveillance to confront the emerging global challenge of dengue.
摘要
本综述详细介绍了地理信息系统（GIS）在当前登革热监测系统中的作用，并重点介绍了开放获取 GIS 技术的应用，以强调其在登革热负担最重的发展中国家的重要性。它还主张加强国际间在跨境疾病监测方面的合作，以应对日益严峻的全球登革热挑战。
相似文献
1
Geographical information systems for dengue surveillance.地理信息系统在登革热监测中的应用。
Am J Trop Med Hyg. 2012 May;86(5):753-5. doi: 10.4269/ajtmh.2012.11-0650.
2
GIS for dengue surveillance: strengthening collaborations.用于登革热监测的地理信息系统：加强合作
Am J Trop Med Hyg. 2012 Dec;87(6):1152. doi: 10.4269/ajtmh.2012.12-0309a.
3
Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries.在发展中国家的登革热监测系统中结合谷歌地球和地理信息系统绘图技术。
Int J Health Geogr. 2009 Jul 23;8:49. doi: 10.1186/1476-072X-8-49.
4
Nation-wide, web-based, geographic information system for the integrated surveillance and control of dengue fever in Mexico.全国范围的基于网络的地理信息系统，用于整合监测和控制墨西哥登革热。
PLoS One. 2013 Aug 6;8(8):e70231. doi: 10.1371/journal.pone.0070231. Print 2013.
5
Application of mosquito sampling count and geospatial methods to improve dengue vector surveillance.应用蚊虫采样计数和地理空间方法改进登革热媒介监测。
Am J Trop Med Hyg. 2007 Nov;77(5):897-902.
6
Web platform using digital image processing and geographic information system tools: a Brazilian case study on dengue.使用数字图像处理和地理信息系统工具的网络平台：巴西登革热案例研究
Biomed Eng Online. 2015 Jul 16;14:69. doi: 10.1186/s12938-015-0052-2.
7
Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS).利用地理信息系统（GIS）估算并绘制2015年洪都拉斯登革热和基孔肯雅热的发病率。
J Infect Public Health. 2017 Jul-Aug;10(4):446-456. doi: 10.1016/j.jiph.2016.08.003. Epub 2016 Aug 23.
8
Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks.气候因素和人口密度对斯里兰卡登革热分布的影响：基于地理信息系统的疫情预测评估
PLoS One. 2017 Jan 9;12(1):e0166806. doi: 10.1371/journal.pone.0166806. eCollection 2017.
9
Application of geographical information systems to co-analysis of disease and economic resources: dengue and malaria in Thailand.地理信息系统在疾病与经济资源共同分析中的应用：泰国的登革热和疟疾
Southeast Asian J Trop Med Public Health. 1998 Dec;29(4):669-84.
10
Surveillance of intensity level and geographical spreading of dengue outbreak among males and females in Punjab, Pakistan: A case study of 2011.巴基斯坦旁遮普省男性和女性登革热疫情强度水平和地理传播的监测：2011 年的案例研究。
J Infect Public Health. 2018 Jul-Aug;11(4):472-485. doi: 10.1016/j.jiph.2017.10.002. Epub 2017 Nov 2.
引用本文的文献
1
Understanding Dengue Underreporting: An Analysis of the Impacts for the World, Latin America and Brazil.了解登革热漏报情况：对全球、拉丁美洲和巴西影响的分析
ScientificWorldJournal. 2025 Jul 16;2025:9993911. doi: 10.1155/tswj/9993911. eCollection 2025.
2
Spatiotemporal distribution of sustained dengue hotspots associated with climate and urbanisation in Singapore.新加坡与气候和城市化相关的持续性登革热热点的时空分布
Sci Rep. 2025 Jul 1;15(1):21532. doi: 10.1038/s41598-025-07296-9.
3
Spatial Mapping the Dengue and Chikungunya Burden in a Rural Area near Bangalore: a Descriptive Cross-Sectional Study.班加罗尔附近农村地区登革热和基孔肯雅热负担的空间绘图：一项描述性横断面研究。
J Arthropod Borne Dis. 2023 Dec 31;17(4):344-351. doi: 10.18502/jad.v17i4.15297. eCollection 2023 Dec.
4
Spatial and temporal distribution of reported dengue cases and hot spot identification in Quezon City, Philippines, 2010-2017.2010 - 2017年菲律宾奎松市报告登革热病例的时空分布及热点识别
Trop Med Health. 2023 May 25;51(1):31. doi: 10.1186/s41182-023-00523-x.
5
The SisaMob Information System: Implementation of Digital Data Collection as a Tool for Surveillance and Vector Control in the State of São Paulo.西萨莫布信息系统：在圣保罗州实施数字数据收集作为监测和病媒控制工具
Insects. 2023 Apr 13;14(4):380. doi: 10.3390/insects14040380.
6
Relationship between Urban Environmental Components and Dengue Prevalence in Dhaka City-An Approach of Spatial Analysis of Satellite Remote Sensing, Hydro-Climatic, and Census Dengue Data.达卡市城市环境要素与登革热流行率之间的关系——卫星遥感、水文气候及人口普查登革热数据的空间分析方法
Int J Environ Res Public Health. 2023 Feb 21;20(5):3858. doi: 10.3390/ijerph20053858.
7
Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan.巴基斯坦开伯尔-普赫图赫瓦省皮肤利什曼病的分布与风险
Trop Med Infect Dis. 2023 Feb 20;8(2):128. doi: 10.3390/tropicalmed8020128.
8
9
A spatio-temporal analysis of dengue spread in a Brazilian dry climate region.巴西干旱气候地区登革热传播的时空分析。
Sci Rep. 2021 Jun 4;11(1):11892. doi: 10.1038/s41598-021-91306-z.
10
Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China.中国广东 2014 年登革热疫情的时空特征。
Sci Rep. 2018 Feb 5;8(1):2344. doi: 10.1038/s41598-018-19168-6.
本文引用的文献
1
Multi-disease data management system platform for vector-borne diseases.多疾病数据管理系统平台，用于虫媒传染病。
PLoS Negl Trop Dis. 2011 Mar 29;5(3):e1016. doi: 10.1371/journal.pntd.0001016.
2
Free and simple GIS as appropriate for health mapping in a low resource setting: a case study in eastern Indonesia.免费且简单的 GIS 适用于资源匮乏环境下的健康地图绘制：印度尼西亚东部的一个案例研究。
Int J Health Geogr. 2011 Feb 25;10:15. doi: 10.1186/1476-072X-10-15.
3
Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao province, Thailand.泰国差春骚府登革热的时空扩散模式和热点检测。
Int J Environ Res Public Health. 2011 Jan;8(1):51-74. doi: 10.3390/ijerph8010051. Epub 2010 Dec 29.
4
Quantifying the spatial dimension of dengue virus epidemic spread within a tropical urban environment.量化热带城市环境中登革热病毒传播的空间维度。
PLoS Negl Trop Dis. 2010 Dec 21;4(12):e920. doi: 10.1371/journal.pntd.0000920.
5
Vector-borne disease prevention: the need for a joint South Pacific approach.病媒传播疾病预防：南太平洋采取联合方法的必要性。
N Z Med J. 2009 Jul 24;122(1299):7-12.
6
Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries.在发展中国家的登革热监测系统中结合谷歌地球和地理信息系统绘图技术。
Int J Health Geogr. 2009 Jul 23;8:49. doi: 10.1186/1476-072X-8-49.
7
Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue.应用绘图法、时空建模方法进行埃及伊蚊与登革热的疫情防控操作。
PLoS Negl Trop Dis. 2009;3(4):e411. doi: 10.1371/journal.pntd.0000411. Epub 2009 Apr 28.
8
Spatial and temporal clustering of dengue virus transmission in Thai villages.泰国村庄登革热病毒传播的时空聚集性
PLoS Med. 2008 Nov 4;5(11):e205. doi: 10.1371/journal.pmed.0050205.
9
Spatial vulnerability to dengue in a Brazilian urban area during a 7-year surveillance.巴西某城市地区7年监测期间登革热的空间脆弱性
J Urban Health. 2007 May;84(3):334-45. doi: 10.1007/s11524-006-9154-2.
10
An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence.基于信息价值的影响登革热和登革出血热发病率的物理与气候因素分析。
Int J Health Geogr. 2005 Jun 8;4:13. doi: 10.1186/1476-072X-4-13.
Zotero 插件