Constantin de Magny Guillaume, Guégan Jean-François, Petit Michel, Cazelles Bernard
Génétique et Evolution des Maladies Infectieuses, UMR CNRS/IRD 2724, 911 avenue Agropolis, BP 64501, 34394 Montpellier cedex 05, France.
BMC Infect Dis. 2007 Mar 19;7:20. doi: 10.1186/1471-2334-7-20.
The relationship between cholera and climate was explored in Africa, the continent with the most reported cases, by analyzing monthly 20-year cholera time series for five coastal adjoining West African countries: Côte d'Ivoire, Ghana, Togo, Benin and Nigeria.
We used wavelet analyses and derived methods because these are useful mathematical tools to provide information on the evolution of the periodic component over time and allow quantification of non-stationary associations between time series.
The temporal variability of cholera incidence exhibits an interannual component, and a significant synchrony in cholera epidemics is highlighted at the end of the 1980's. This observed synchrony across countries, even if transient through time, is also coherent with both the local variability of rainfall and the global climate variability quantified by the Indian Oscillation Index.
Results of this study suggest that large and regional scale climate variability influence both the temporal dynamics and the spatial synchrony of cholera epidemics in human populations in the Gulf of Guinea, as has been described for two other tropical regions of the world, western South America and Bangladesh.
通过分析五个西非沿海毗邻国家(科特迪瓦、加纳、多哥、贝宁和尼日利亚)20年的霍乱月度时间序列,在报告病例数最多的非洲大陆探讨了霍乱与气候之间的关系。
我们使用了小波分析及其衍生方法,因为这些是有用的数学工具,可提供有关周期性成分随时间演变的信息,并能对时间序列之间的非平稳关联进行量化。
霍乱发病率的时间变异性呈现出年际成分,并且在20世纪80年代末突出显示出霍乱疫情的显著同步性。这种在各国观察到的同步性,即使随时间短暂变化,也与降雨的局部变异性以及由印度洋振荡指数量化的全球气候变异性相一致。
本研究结果表明,正如世界上其他两个热带地区(南美洲西部和孟加拉国)所描述的那样,大尺度和区域尺度的气候变异性会影响几内亚湾人群中霍乱疫情的时间动态和空间同步性。