论文部分内容阅读
本文概述了如何利用气象卫星资料来监测疟疾传播方式、预测流行和规划控制方案。用标准化差异植被系数(normalized difference vegetation index NDVI)和冷云期(cold-cloud dura-tion CCD)两项指标,结合冈比亚疟疾的流行病学和昆虫学资料进行分析,初步结果显示,即使对有代表性的生态变数作简单分析也能显示影响疟疾传播的环境因子的变化,只是两者的关联要视当地的生态学、季节和蚊种而定。需要进一步进行量化分析以明确两者关系,获得环境时空变异的详细资料,为疟疾控制提供决策支持。
This article provides an overview of how to use meteorological satellite data to monitor malaria transmission patterns, forecast prevalence and planning control programs. The results of normalized difference vegetation index (NDVI) and cold-cloud dura-tion CCD combined with epidemiological and entomological data of malaria in Gambia show that even with A simple analysis of representative ecological variables can also show changes in environmental factors that affect the spread of malaria, but the link between the two depends on local ecology, season and mosquito species. Further quantitative analysis is needed to clarify the relationship between the two and obtain detailed information on environmental spatiotemporal variations to provide decision support for malaria control.