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Shifting patterns: malaria dynamics and rainfall variability in an African highland

机译:转移方式:非洲高地的疟疾动态和降雨多变性

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摘要

The long-term patterns of malaria in the East African highlands typically involve not only a general upward trend in cases but also a dramatic increase in the size of epidemic outbreaks. The role of climate variability in driving epidemic cycles at interannual time scales remains controversial, in part because it has been seen as conflicting with the alternative explanation of purely endogenous cycles exclusively generated by the nonlinear dynamics of the disease. We analyse a long temporal record of monthly cases from 1970 to 2003 in a highland of western Kenya with both a time-series epidemiological model (time-series susceptible–infected–recovered) and a statistical approach specifically developed for non-stationary patterns. Results show that multiyear cycles of malaria outbreaks appear in the 1980s, concomitant with the timing of a regime shift in the dynamics of cases; the cycles become more pronounced in the 1990s, when the coupling between disease and rainfall is also stronger as the variance of rainfall increased at the frequencies of coupling. Disease dynamics and climate forcing play complementary and interacting roles at different temporal scales. Thus, these mechanisms should not be viewed as alternative and their interaction needs to be integrated in the development of future predictive models.
机译:东非高地的长期疟疾模式通常不仅涉及病例的总体上升趋势,而且还涉及流行病暴发规模的急剧增加。气候变化在年际尺度上驱动流行周期的作用仍然存在争议,部分原因是因为它被认为与疾病的非线性动力学专门产生的纯内生周期的另一种解释相矛盾。我们使用时间序列流行病学模型(易感-感染-恢复的时间序列)和专门针对非平稳模式开发的统计方法,分析了肯尼亚西部高原地区1970年至2003年每月病例的长期记录。结果表明,疟疾暴发的多年周期出现在1980年代,并伴随着案件动态中政权转移的时机。在1990年代,疾病周期与降雨之间的耦合也变得更强,因为降雨的方差随着耦合频率的增加而增加,这种循环变得更加明显。疾病动力学和气候强迫在不同的时间尺度上起互补和相互作用的作用。因此,这些机制不应被视为替代机制,它们的相互作用需要整合到未来预测模型的开发中。

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