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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Recent Incidence of Human Malaria Caused by Plasmodium knowlesi in the Villages in Kudat Peninsula, Sabah, Malaysia: Mapping of The Infection Risk Using Remote Sensing Data
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Recent Incidence of Human Malaria Caused by Plasmodium knowlesi in the Villages in Kudat Peninsula, Sabah, Malaysia: Mapping of The Infection Risk Using Remote Sensing Data

机译：马来西亚沙巴古达半岛村庄的知识分子疟原虫引起的近期人类疟疾发病率：使用遥感数据绘制感染风险图

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Plasmodium knowlesi (Pk) is a malaria parasite that naturally infects macaque monkeys in Southeast Asia. Pk malaria, the zoonosis transmitted from the infected monkeys to the humans by Anopheles mosquito vectors, is now a serious health problem in Malaysian Borneo. To create a strategic plan to control Pk malaria, it is important to estimate the occurrence of the disease correctly. The rise of Pk malaria has been explained as being due to ecological changes, especially deforestation. In this research, we analysed the time-series satellite images of MODIS (MODerate-resolution Imaging Spectroradiometer) of the Kudat Peninsula in Sabah and created the “Pk risk map” on which the Land-Use and Land-Cover (LULC) information was visualised. The case number of Pk malaria of a village appeared to have a correlation with the quantity of two specific LULC classes, the mosaic landscape of oil palm groves and the nearby land-use patches of dense forest, surrounding the village. Applying a Poisson multivariate regression with a generalised linear mixture model (GLMM), the occurrence of Pk malaria cases was estimated from the population and the quantified LULC distribution on the map. The obtained estimations explained the real case numbers well, when the contribution of another risk factor, possibly the occupation of the villagers, is considered. This implies that the occurrence of the Pk malaria cases of a village can be predictable from the population of the village and the LULC distribution shown around it on the map. The Pk risk map will help to assess the Pk malaria risk distributions quantitatively and to discover the hidden key factors behind the spread of this zoonosis.
机译：疟原虫Knowlei（Pk）是一种疟原虫，自然感染东南亚的猕猴。疟疾是疟原虫的一种人畜共患病，它是通过按蚊蚊媒从感染的猴子传播给人类的，现在已成为马来西亚婆罗洲的严重健康问题。要制定控制Pk疟疾的战略计划，重要的是正确估计疾病的发生率。 Pk疟疾的增加被解释为是由于生态变化，尤其是森林砍伐。在这项研究中，我们分析了沙巴古达半岛MODIS（高分辨率成像光谱仪）的时间序列卫星图像，并创建了“ Pk风险图”，在该图上，土地使用和土地覆盖（LULC）信息可视化。一个村庄的Pk疟疾的病例数似乎与两个特定的LULC类别的数量相关，即油棕林的镶嵌景观和村庄周围茂密森林的附近土地利用斑块。应用带有广义线性混合模型（GLMM）的Poisson多元回归，可以从人群和地图上量化的LULC分布估算出Pk疟疾病例的发生。当考虑其他风险因素（可能是村民的占领）的影响时，获得的估计值很好地说明了实际病例数。这意味着可以根据该村庄的人口和地图上显示的该村庄周围的LULC分布来预测该村庄发生Pk疟疾的情况。 Pk风险图将有助于定量评估Pk疟疾风险分布，并发现这种人畜共患病传播背后的隐藏关键因素。

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