National Center for Atmospheric Research, Boulder, CO 80307, USA.
J R Soc Interface. 2012 May 7;9(70):817-30. doi: 10.1098/rsif.2011.0654. Epub 2011 Nov 9.
Climate warming over the next century is expected to have a large impact on the interactions between pathogens and their animal and human hosts. Vector-borne diseases are particularly sensitive to warming because temperature changes can alter vector development rates, shift their geographical distribution and alter transmission dynamics. For this reason, African trypanosomiasis (sleeping sickness), a vector-borne disease of humans and animals, was recently identified as one of the 12 infectious diseases likely to spread owing to climate change. We combine a variety of direct effects of temperature on vector ecology, vector biology and vector-parasite interactions via a disease transmission model and extrapolate the potential compounding effects of projected warming on the epidemiology of African trypanosomiasis. The model predicts that epidemics can occur when mean temperatures are between 20.7°C and 26.1°C. Our model does not predict a large-range expansion, but rather a large shift of up to 60 per cent in the geographical extent of the range. The model also predicts that 46-77 million additional people may be at risk of exposure by 2090. Future research could expand our analysis to include other environmental factors that influence tsetse populations and disease transmission such as humidity, as well as changes to human, livestock and wildlife distributions. The modelling approach presented here provides a framework for using the climate-sensitive aspects of vector and pathogen biology to predict changes in disease prevalence and risk owing to climate change.
下个世纪的气候变暖预计将对病原体与其动物和人类宿主之间的相互作用产生重大影响。媒介传播疾病特别容易受到气候变暖的影响,因为温度变化会改变媒介的发育速度、改变其地理分布并改变传播动力学。出于这个原因,非洲锥虫病(昏睡病),一种人类和动物的媒介传播疾病,最近被确定为 12 种可能因气候变化而传播的传染病之一。我们通过疾病传播模型结合了温度对媒介生态学、媒介生物学和媒介-寄生虫相互作用的各种直接影响,并推断出预计变暖对非洲锥虫病流行病学的潜在复合影响。该模型预测,当平均温度在 20.7°C 到 26.1°C 之间时,可能会发生流行。我们的模型并没有预测到大范围的扩张,而是预测到地理范围的大幅转移,高达 60%。该模型还预测,到 2090 年,可能会有 4600 万至 7700 万人面临接触风险。未来的研究可以将我们的分析扩展到包括其他影响采采蝇种群和疾病传播的环境因素,如湿度,以及人类、牲畜和野生动物分布的变化。这里提出的建模方法为利用媒介和病原体生物学中对气候敏感的方面来预测气候变化引起的疾病流行和风险变化提供了一个框架。