Grupo de Física Estadística e Interdisciplinaria, CONICET, Centro Atómico Bariloche, Bariloche, Río Negro, Argentina.
Instituto de Física Teórica, Universidade Estadual Paulista - UNESP, São Paulo, SP, Brazil.
PLoS One. 2019 Jul 10;14(7):e0219249. doi: 10.1371/journal.pone.0219249. eCollection 2019.
In this work we analyze potential environmental drivers of malaria cases in Northwestern Argentina. We inspect causal links between malaria and climatic variables by means of the convergent cross mapping technique, which provides a causality criterion from the theory of dynamic systems. Analysis is based on 12 years of weekly malaria P. vivax cases in Tartagal, Salta, Argentina-at the southern fringe of malaria incidence in the Americas-together with humidity and temperature time-series spanning the same period. Our results show that there are causal links between malaria cases and both maximum temperature, with a delay of five weeks, and minimum temperature, with delays of zero and twenty two weeks. Humidity is also a driver of malaria cases, with thirteen weeks delay between cause and effect. Furthermore we also determined the sign and strength of the effects. Temperature has always a positive non-linear effect on cases, with maximum temperature effects more pronounced above 25°C and minimum above 17°C, while effects of humidity are more intricate: maximum humidity above 85% has a negative effect, whereas minimum humidity has a positive effect on cases. These results might be signaling processes operating at short (below 5 weeks) and long (over 12 weeks) time delays, corresponding to effects related to parasite cycle and mosquito population dynamics respectively. The non-linearities found for the strength of the effect of temperature on malaria cases make warmer areas more prone to higher increases in the disease incidence. Moreover, our results indicate that an increase of extreme weather events could enhance the risks of malaria spreading and re-emergence beyond the current distribution. Both situations, warmer climate and increase of extreme events, will be remarkably increased by the end of the century in this hot spot of climate change.
在这项工作中,我们分析了阿根廷西北部疟疾病例的潜在环境驱动因素。我们通过趋同交叉映射技术检验了疟疾与气候变量之间的因果关系,该技术提供了动力系统理论的因果标准。分析基于阿根廷萨尔塔省塔塔尔加尔的 12 年每周间日疟原虫病例,该地位于美洲疟疾发病率的南部边缘,同时还包括同一时期的湿度和温度时间序列。我们的结果表明,疟疾病例与最高温度(滞后五周)和最低温度(滞后零周和二十二周)之间存在因果关系。湿度也是疟疾病例的驱动因素,因果之间存在十三周的滞后。此外,我们还确定了效应的符号和强度。温度对病例始终有正的非线性影响,最高温度的影响在 25°C 以上更为明显,最低温度在 17°C 以上更为明显,而湿度的影响则更为复杂:最大湿度高于 85%有负面影响,而最小湿度对病例有积极影响。这些结果可能表明在短时间(5 周以下)和长时间(超过 12 周)延迟下,存在着操作的过程,分别对应于与寄生虫周期和蚊子种群动态相关的效应。发现温度对疟疾病例的影响强度存在非线性,这使得较温暖地区更容易出现更高的疾病发病率增加。此外,我们的研究结果表明,极端天气事件的增加可能会增加疟疾传播和重新出现的风险,超出当前的分布范围。在这个气候变化热点地区,到本世纪末,气候变暖以及极端事件的增加将显著增加。