Mekong malaria. Malaria, multi-drug resistance and economic development in the greater Mekong subregion of Southeast Asia.
Mekong malaria. Malaria, multi-drug resistance and economic development in the greater Mekong subregion of Southeast Asia.
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湄公河疟疾。
DOI：
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发表时间：
1999
影响因子：
0.2
通讯作者：
P. Singhasivanon
中科院分区：
文献类型：
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作者：
P. Singhasivanon
这本专著汇集了组成东南亚大湄公河分区域的6个国家1996、1997和1998年的国家疟疾数据库：柬埔寨、中国（南部省份）、老挝人民民主共和国、缅甸、泰国、越南。目标是从区域角度看待全球抗药性恶性疟疾中心，以便在经济和社会变革的背景下加强必要的信息流动，在区域基础上改进疟疾防治工作。地理信息系统技术已用于绘制疟疾报告病例总数、疟疾发病率、确诊病例、寄生虫物种分布的区域地图。这6个国家和每个国家的国家以下行政单位地区一级的疾病模式差异很大，因此，整个区域的疾病分布明显不对称，许多地区的流行率很高。在国际边境地区附近重点扩大地图，描绘了对疾病控制构成挑战的不同跨界疟疾分布情况。疟疾模式也描述了环境背景下对区域海拔和森林覆盖概况，影响蚊子繁殖地分布和农业活动。关于恶性疟疾对一系列抗疟疾药物耐药性的数据总结了耐药性发展的历史和近期背景以及地理和时间范围的传播。关于跨越国际边界的人口流动的数据确定了疟疾传播的一个主要因素，包括抗药性寄生虫株的规模。疟疾控制涉及到对微观经济能力的考虑，并在宏观经济政策的更广泛范围内运作：包括该区域的经济和社会概况，以提供这一视角。描绘该区域主要经济发展项目的地图也是如此，这些项目已经并将继续对疟疾流行病学产生深刻、动态的影响。因此，从地理、卫生、环境和经济的总体角度对区域疟疾数据库进行地理整理。在社会和基础设施迅速变化的背景下，这一开端可以成为发展有效的区域疟疾监测系统的基础，最终导致建立一个多疾病监测网络。
This monograph brings together national malaria databases for 1996, 1997 and 1998 from the 6 countries comprising the Greater Mekong Subregion of Southeast Asia: Cambodia, China (southern provinces), Lao People's Democratic Republic, Myanmar, Thailand, Viet Nam. The objective is to create a regional perspective in what is a global epicenter of drug resistant falciparum malaria, so to enhance the information flow required to improve malaria control on a regional basis in the context of economic and social change. Geographical Information Systems technology has been applied to the regional mapping of total reported malaria cases, malaria incidence, confirmed cases, parasite species distribution. There is great diversity in disease patterns in the 6 countries and at subnational administrative unit area level in each country, so that in the region as a whole there is marked asymmetry in disease distribution, with many areas of high endemicity. Focal expansion of maps in the vicinity of international border areas delineates the differential trans-border malaria distribution that presents a challenge for disease control. The malaria pattern is also depicted in environmental context against regional elevation and forest cover profiles, which affect mosquito breeding site distribution and agricultural activity. Data on resistance of falciparum malaria to a range of anti-malarial drugs summarise the historical and recent context of resistance development and spread in terms of geography and time frame. Data on population movement across international borders identify the magnitude of a major factor in the dispersal of malaria, including resistant parasite strains. Malaria control involves consideration of microeconomic capacity and operates in the broader context of macroeconomic policy: economic and social profiles of the region are included to provide this perspective. So too are maps depicting major economic development projects in the region, projects that have and will continue to have profound, dynamic impacts on malaria epidemiology. The geographic collation of regional malaria databases is thus placed in overall geographic, health, environmental and economic perspective. This beginning can form a basis for the development of an effective regional malaria surveillance system in the context of rapidly evolving social and infrastructural change, leading eventually to a multi-disease surveillance network.