Tompkins Adrian M, Larsen Laragh, McCreesh Nicky, Taylor David
Abdus Salam International Centre for Theoretical Physics, Trieste.
Geospat Health. 2016 Mar 31;11(1 Suppl):407. doi: 10.4081/gh.2016.407.
Malaria case statistics were analysed for the period 1926 to 1960 to identify inter-annual variations in malaria cases for the Uganda Protectorate. The analysis shows the mid-to-late 1930s to be a period of increased reported cases. After World War II, malaria cases trend down to a relative minimum in the early 1950s, before increasing rapidly after 1953 to the end of the decade. Data for the Western Province confirm these national trends, which at the time were attributed to a wide range of causes, including land development and management schemes, population mobility, interventions and misdiagnosis. Climate was occasionally proposed as a contributor to enhanced case numbers, and unusual precipitation patterns were held responsible; temperature was rarely, if ever, considered. In this study, a dynamical malaria model was driven with available precipitation and temperature data from the period for five stations located across a range of environments in Uganda. In line with the historical data, the simulations produced relatively enhanced transmission in the 1930s, although there is considerable variability between locations. In all locations, malaria transmission was low in the late 1940s and early 1950s, steeply increasing after 1954. Results indicate that past climate variability explains some of the variations in numbers of reported malaria cases. The impact of multiannual variability in temperature, while only on the order of 0.5°C, was sufficient to drive some of the trends observed in the statistics and thus the role of climate was likely underestimated in the contemporary reports. As the elimination campaigns of the 1960s followed this partly climate-driven increase in malaria, this emphasises the need to account for climate when planning and evaluating intervention strategies.
对1926年至1960年期间乌干达保护国的疟疾病例统计数据进行了分析,以确定疟疾病例的年际变化。分析表明,20世纪30年代中后期报告病例有所增加。第二次世界大战后,疟疾病例呈下降趋势,在20世纪50年代初降至相对最低点,之后在1953年至该十年末迅速增加。西部省的数据证实了这些全国性趋势,当时这些趋势被归因于多种原因,包括土地开发和管理计划、人口流动、干预措施和误诊。气候偶尔被认为是病例数增加的一个因素,异常降水模式被认为是原因;温度很少被考虑,如果曾经被考虑过的话。在本研究中,利用乌干达一系列环境中五个站点该时期的可用降水和温度数据驱动一个动态疟疾模型。与历史数据一致,模拟结果显示20世纪30年代传播相对增强,尽管不同地点之间存在相当大的差异。在所有地点,20世纪40年代末和5