Sultan Benjamin, Labadi Karima, Guégan Jean-François, Janicot Serge
IRD-Laboratoire d'Océanographie Dynamique et du Climat-UMR 7617 (CNRS/IRD/P6/MNHN)-Université Pierre et Marie Curie, Paris, France.
PLoS Med. 2005 Jan;2(1):e6. doi: 10.1371/journal.pmed.0020006. Epub 2005 Jan 25.
Every year West African countries within the Sahelo-Sudanian band are afflicted with major meningococcal meningitis (MCM) disease outbreaks, which affect up to 200,000 people, mainly young children, in one of the world's poorest regions. The timing of the epidemic year, which starts in February and ends in late May, and the spatial distribution of disease cases throughout the "Meningitis Belt" strongly indicate a close linkage between the life cycle of the causative agent of MCM and climate variability. However, mechanisms responsible for the observed patterns are still not clearly identified.
By comparing the information on cases and deaths of MCM from World Health Organization weekly reports with atmospheric datasets, we quantified the relationship between the seasonal occurrence of MCM in Mali, a West African country, and large-scale atmospheric circulation. Regional atmospheric indexes based on surface wind speed show a clear link between population dynamics of the disease and climate: the onset of epidemics and the winter maximum defined by the atmospheric index share the same mean week (sixth week of the year; standard deviation, 2 wk) and are highly correlated.
This study is the first that provides a clear, quantitative demonstration of the connections that exist between MCM epidemics and regional climate variability in Africa. Moreover, this statistically robust explanation of the MCM dynamics enables the development of an Early Warning Index for meningitis epidemic onset in West Africa. The development of such an index will undoubtedly help nationwide and international public health institutions and policy makers to better control MCM disease within the so-called westward-eastward pan-African Meningitis Belt.
每年,萨赫勒 - 苏丹地带的西非国家都会遭受大规模的脑膜炎球菌性脑膜炎(MCM)疾病爆发,在这个世界上最贫困的地区之一,疫情影响多达20万人,主要是幼儿。疫情年份从2月开始,5月底结束,疾病病例在“脑膜炎带”的空间分布强烈表明,MCM病原体的生命周期与气候变化之间存在密切联系。然而,导致观察到的模式的机制仍未明确。
通过将世界卫生组织每周报告中的MCM病例和死亡信息与大气数据集进行比较,我们量化了西非国家马里MCM季节性发病与大规模大气环流之间的关系。基于地表风速的区域大气指数显示出该疾病的种群动态与气候之间存在明显联系:疫情的开始以及由大气指数定义的冬季高峰出现在同一平均周(一年中的第6周;标准差为2周),并且高度相关。
本研究首次清晰、定量地证明了非洲MCM疫情与区域气候变化之间的联系。此外,对MCM动态的这种具有统计学稳健性的解释使得能够开发西非脑膜炎疫情爆发的早期预警指数。这样一个指数的开发无疑将有助于全国和国际公共卫生机构以及政策制定者更好地控制所谓的泛非脑膜炎带中西向东区域内的MCM疾病。