Centre for Ecological and Evolutionary Synthesis CEES, University of Oslo, Norway.
Centre for Mathematical Modelling of Infectious Diseases CMMID, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Proc Biol Sci. 2021 Jul 14;288(1954):20202725. doi: 10.1098/rspb.2020.2725.
Modern plague outbreaks exhibit a distinct seasonal pattern. By contrast, the seasonality of historical outbreaks and its drivers has not been studied systematically. Here, we investigate the seasonal pattern, the epidemic peak timing and growth rates, and the association with latitude, temperature, and precipitation using a large, novel dataset of plague- and all-cause mortality during the Second Pandemic in Europe and the Mediterranean. We show that epidemic peak timing followed a latitudinal gradient, with mean annual temperature negatively associated with peak timing. Based on modern temperature data, the predicted epidemic growth of all outbreaks was positive between 11.7°C and 21.5°C with a maximum around 17.3°C. Hence, our study provides evidence that the growth of plague epidemics across the whole study region depended on similar absolute temperature thresholds. Here, we present a systematic analysis of the seasonality of historical plague in the Northern Hemisphere, and we show consistent evidence for a temperature-related process influencing the epidemic peak timing and growth rates of plague epidemics.
现代瘟疫爆发呈现出明显的季节性模式。相比之下,历史上瘟疫爆发的季节性及其驱动因素尚未得到系统研究。在这里,我们利用欧洲和地中海第二次大流行期间鼠疫和全因死亡率的大型新颖数据集,研究了季节性模式、流行高峰时间和增长率,以及与纬度、温度和降水的关联。我们表明,流行高峰时间遵循纬度梯度,平均年温度与高峰时间呈负相关。根据现代温度数据,预测所有爆发的流行增长率在 11.7°C 和 21.5°C 之间呈正相关,在 17.3°C 左右达到最大值。因此,我们的研究提供了证据,表明整个研究区域的鼠疫流行的增长取决于类似的绝对温度阈值。在这里,我们对北半球历史鼠疫的季节性进行了系统分析,并为一个与温度相关的过程影响鼠疫流行的高峰时间和增长率提供了一致的证据。