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首页> 外文期刊>Japanese journal of infectious diseases >Analysis of malaria endemic areas on the indochina peninsula using remote sensing.
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Analysis of malaria endemic areas on the indochina peninsula using remote sensing.

机译：利用遥感分析印度支那半岛的疟疾流行区。

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We applied remote sensing using satellite images capable of obtaining data over a broad range, transcending national borders, as a method of rapidly, precisely, and safely increasing our understanding of the potential distribution of malaria. Our target region was the so-called Mekong malaria region on the Indochina Peninsula. As a malaria index, we used existing distribution maps of total reported malaria cases, malaria mortality, vivax malaria and falciparum malaria incidences, and so forth for 1997 and 1998. We produced monthly distribution maps of a normalized difference vegetation index (NDVI) with values of 0.2+, 0.3+, 0.35+, and 0.4+ using the geographical information system/remote sensing software based on the East Asia monthly NDVI maps of 1997. These maps were overlaid with various malaria index distribution maps, and cross-tabulations were carried out. The resulting maps with NDVI values of 0.3+ and 0.4+ matched the falciparum malaria distribution well, and we realized, in particular, that falciparum malaria is prevalent in regions in which NDVI values of 0.4+ continue for 6 months or more, while cases are fewer in regions with NDVI values of 0.4+ that continue for 5 months or less. It will be necessary in the future to examine the relationship between NDVI values and the habitats of the various vector mosquitoes using high-resolution satellite images and to implement detailed forecasts for malaria endemic areas by means of NDVI.
机译：我们使用能够获取广泛范围，超越国界数据的卫星图像进行遥感，以此作为一种快速，精确和安全地增加我们对疟疾潜在分布的理解的方法。我们的目标区域是印度支那半岛上的所谓湄公河疟疾地区。作为疟疾指数，我们使用了1997年和1998年报告的疟疾总数，疟疾死亡率，间日疟和恶性疟疾发病率等现有分布图。使用基于1997年东亚月度NDVI地图的地理信息系统/遥感软件对0.2 +，0.3 +，0.35 +和0.4+进行了分析。这些地图上覆盖了各种疟疾指数分布图，并进行了交叉制表出来。 NDVI值分别为0.3+和0.4+的结果图与恶性疟疾的分布情况非常吻合，我们尤其意识到，恶性疟疾在NDVI值继续为0.4+的地区持续6个月或更长时间的地区比较普遍。持续5个月或更短时间的NDVI值为0.4+的地区较少。将来有必要使用高分辨率卫星图像检查NDVI值与各种媒介蚊子的栖息地之间的关系，并通过NDVI实施对疟疾流行地区的详细预测。

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