Chair of Landscape Ecology, University of Vechta, PO Box 1553, 49364, Vechta, Germany.
Environ Sci Pollut Res Int. 2011 Mar;18(3):428-35. doi: 10.1007/s11356-010-0388-x. Epub 2010 Aug 31.
Climate warming can change the geographic distribution and intensity of the transmission of vector-borne diseases such as malaria. The transmitted parasites usually benefit from increased temperatures as both their reproduction and development are accelerated. Lower Saxony (northwestern Germany) has been a malaria region until the 1950s, and the vector species are still present throughout Germany. This gave reason to investigate whether a new autochthonous transmission could take place if the malaria pathogen was introduced again in Germany.
The spatial distribution of potential temperature-driven malaria transmissions was investigated using the basic reproduction rate (R (0)) to model and geostatistically map areas at risk of an outbreak of tertian malaria based on measured (1961-1990, 1991-2007) and predicted (1991-2020, 2021-2050, 2051-2080) monthly mean air temperature data.
From the computations, maps were derived showing that during the period 1961-1990, the seasonal transmission gate ranges from 0 to 4 months and then expands up to 5 months in the period 1991-2007. For the projection of future trends, the regional climate models REMO and WettReg were used each with two different scenarios (A1B and B1). Both modelling approaches resulted in prolonged seasonal transmission gates in the future, enabling malaria transmissions up to 6 months in the climate reference period 2051-2080 (REMO, scenario A1B).
The presented risk prognosis is based on the R (0) formula for the estimation of the reproduction of the malaria pathogen Plasmodium vivax. The presented model focuses on mean air temperatures; thus, other driving factors like the distribution of water bodies (breeding habitats) or population density are not integrated. Nevertheless, the modelling presented in this study can help identify areas at risk and initiate prevention. The described findings may also help in the investigation and assessment of related diseases caused by temperature-dependent vectors and pathogens, including those being dangerous for livestock as well, e.g. insect-borne bluetongue disease transmitted by culicoids.
气候变暖会改变疟疾等虫媒传染病的地理分布和传播强度。寄生虫的传播通常受益于温度升高,因为它们的繁殖和发育都加快了。下萨克森州(德国西北部)直到 20 世纪 50 年代仍是疟疾地区,其传播媒介在德国各地仍有存在。这使得人们有理由怀疑,如果疟疾病原体再次传入德国,是否会发生新的本地传播。
利用基本繁殖率(R(0))对潜在的温度驱动的疟疾传播进行建模,并基于实测(1961-1990 年、1991-2007 年)和预测(1991-2020 年、2021-2050 年、2051-2080 年)月平均空气温度数据,对爆发间日疟的危险区域进行地理统计制图。
计算结果得出的地图显示,在 1961-1990 年期间,季节性传播门限范围为 0-4 个月,而在 1991-2007 年期间扩大到 5 个月。为了预测未来的趋势,使用了区域气候模型 REMO 和 WettReg,每个模型都采用了两种不同的情景(A1B 和 B1)。这两种建模方法都导致未来季节性传播门限延长,在参考期 2051-2080 年气候条件下,疟疾传播可持续 6 个月(REMO,A1B 情景)。
本文提出的风险预测是基于疟疾病原体间日疟原虫繁殖的 R(0)公式进行的。该模型侧重于平均空气温度;因此,其他驱动因素,如水体分布(繁殖栖息地)或人口密度等,并未纳入考虑。然而,本研究中提出的模型可以帮助识别危险区域并启动预防措施。本文所描述的发现也有助于调查和评估其他与温度相关的媒介和病原体引起的相关疾病,包括对牲畜也有危险的疾病,例如由库蚊传播的虫媒性蓝舌病。