Mabaso Musawenkosi L H, Kleinschmidt Immo, Sharp Brian, Smith Thomas
Malaria Research Lead Programme, Medical Research Council, South Africa, Overport 4067, South Africa.
Trans R Soc Trop Med Hyg. 2007 Apr;101(4):326-30. doi: 10.1016/j.trstmh.2006.07.009. Epub 2006 Oct 24.
We evaluated the association between annual malaria incidence and El Niño Southern Oscillation (ENSO) as measured by the Southern Oscillation Index (SOI) in five countries in Southern Africa from 1988 to 1999. Below normal incidence of malaria synchronised with a negative SOI (El Niño) and above normal incidence with a positive SOI (La Niña), which lead to dry and wet weather conditions, respectively. In most countries there was a positive relationship between SOI and annual malaria incidence, especially where Anopheles arabiensis is a major vector. This mosquito breeds in temporary rain pools and is highly sensitive to fluctuations in weather conditions. South Africa and Swaziland have the most reliable data and showed the strongest associations, but the picture there may also be compounded by the moderating effect of other oscillatory systems in the Indian Ocean. The impact of ENSO also varies over time within countries, depending on existing malaria control efforts and response capacity. There remains a need for quantitative studies that at the same time consider both ENSO-driven climate anomalies and non-ENSO factors influencing epidemic risk potential to assess their relative importance in order to provide an empirical basis for malaria epidemic forecasting models.
我们评估了1988年至1999年期间,南部非洲五个国家的年疟疾发病率与以南方涛动指数(SOI)衡量的厄尔尼诺南方涛动(ENSO)之间的关联。疟疾发病率低于正常水平与负SOI(厄尔尼诺)同步,高于正常水平与正SOI(拉尼娜)同步,分别导致干燥和潮湿的天气状况。在大多数国家,SOI与年疟疾发病率之间存在正相关关系,特别是在阿拉伯按蚊为主要传播媒介的地区。这种蚊子在临时雨水池中繁殖,对天气状况的波动高度敏感。南非和斯威士兰拥有最可靠的数据,显示出最强的关联,但那里的情况也可能因印度洋其他振荡系统的调节作用而变得复杂。ENSO的影响在不同国家也会随时间变化,这取决于现有的疟疾控制措施和应对能力。仍然需要进行定量研究,同时考虑ENSO驱动的气候异常和影响流行风险潜力的非ENSO因素,以评估它们的相对重要性,从而为疟疾流行预测模型提供实证依据。