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Temperature and population density determine reservoir regions of seasonal persistence in highland malaria

机译:温度和人口密度决定了高原疟疾季节性存留的库区

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摘要

A better understanding of malaria persistence in highly seasonal environments such as highlands and desert fringes requires identifying the factors behind the spatial reservoir of the pathogen in the low season. In these ‘unstable’ malaria regions, such reservoirs play a critical role by allowing persistence during the low transmission season and therefore, between seasonal outbreaks. In the highlands of East Africa, the most populated epidemic regions in Africa, temperature is expected to be intimately connected to where in space the disease is able to persist because of pronounced altitudinal gradients. Here, we explore other environmental and demographic factors that may contribute to malaria's highland reservoir. We use an extensive spatio-temporal dataset of confirmed monthly Plasmodium falciparum cases from 1995 to 2005 that finely resolves space in an Ethiopian highland. With a Bayesian approach for parameter estimation and a generalized linear mixed model that includes a spatially structured random effect, we demonstrate that population density is important to disease persistence during the low transmission season. This population effect is not accounted for in typical models for the transmission dynamics of the disease, but is consistent in part with a more complex functional form of the force of infection proposed by theory for vector-borne infections, only during the low season as we discuss. As malaria risk usually decreases in more urban environments with increased human densities, the opposite counterintuitive finding identifies novel control targets during the low transmission season in African highlands.
机译:要更好地了解高度季节性环境(例如高原和沙漠边缘)中的疟疾持久性,需要确定在淡季病原体的空间储量背后的因素。在这些“不稳定”的疟疾地区,这样的水库在低传播季节以及因此在季节性暴发之间允许持续存在,起到了​​至关重要的作用。在东非的高地,即非洲人口最多的流行地区,由于明显的海拔梯度,温度预计将与疾病能够持续存在的空间密切相关。在这里,我们探索了可能导致疟疾高地水库的其他环境和人口因素。我们使用了广泛的时空数据集,从1995年至2005年确认了每月的恶性疟原虫病例,可以很好地解析埃塞俄比亚高原的空间。利用贝叶斯方法进行参数估计和包含空间结构随机效应的广义线性混合模型,我们证明了人口密度对于低传播季节期间的疾病持久性很重要。在典型的疾病传播动力学模型中并未考虑这种种群效应,但部分与媒介传播理论理论提出的更复杂的感染力功能形式相吻合,仅在我们处于淡季时才如此。讨论。由于在人类密度增加的更多城市环境中,疟疾风险通常会降低,因此反直觉的发现确定了非洲高地低传播季节期间新的控制目标。

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