Kovats R S
Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, England.
Bull World Health Organ. 2000;78(9):1127-35.
The El Niño-Southern Oscillation (ENSO) is the best known example of quasi-periodic natural climate variability on the interannual time scale. It comprises changes in sea temperature in the Pacific Ocean (El Niño) and changes in atmospheric pressure across the Pacific Basin (the Southern Oscillation), together with resultant effects on world weather. El Niño events occur at intervals of 2-7 years. In certain countries around the Pacific and beyond, El Niño is associated with extreme weather conditions that can cause floods and drought. Globally it is linked to an increased impact of natural disasters. There is evidence that ENSO is associated with a heightened risk of certain vector-borne diseases in specific geographical areas where weather patterns are linked with the ENSO cycle and disease control is limited. This is particularly true for malaria, but associations are also suggested in respect of epidemics of other mosquito-borne and rodent-borne diseases that can be triggered by extreme weather conditions. Seasonal climate forecasts, predicting the likelihood of weather patterns several months in advance, can be used to provide early indicators of epidemic risk, particularly for malaria. Interdisciplinary research and cooperation are required in order to reduce vulnerability to climate variability and weather extremes.
厄尔尼诺-南方涛动(ENSO)是年际时间尺度上最著名的准周期性自然气候变率实例。它包括太平洋海温变化(厄尔尼诺)和太平洋盆地大气压力变化(南方涛动),以及对全球天气的影响。厄尔尼诺事件每隔2至7年发生一次。在太平洋沿岸及其他地区的某些国家,厄尔尼诺与可能引发洪水和干旱的极端天气状况相关。在全球范围内,它与自然灾害影响的增加有关。有证据表明,在特定地理区域,ENSO与某些媒介传播疾病风险的增加有关,在这些地区,天气模式与ENSO周期相关,且疾病防控有限。疟疾尤其如此,但对于其他可由极端天气状况引发的蚊媒和鼠媒疾病的流行,也有相关关联的提示。季节性气候预测可提前数月预测天气模式的可能性,可用于提供疫情风险的早期指标,尤其是疟疾。需要开展跨学科研究与合作,以降低对气候变率和极端天气的脆弱性。