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Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007

机译:2007年孟加拉国疟疾发病率的时空变化特征

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Background Malaria remains a significant health problem in Bangladesh affecting 13 of 64 districts. The risk of malaria is variable across the endemic areas and throughout the year. A better understanding of the spatial and temporal patterns in malaria risk and the determinants driving the variation are crucial for the appropriate targeting of interventions under the National Malaria Control and Prevention Programme. Methods Numbers of Plasmodium falciparum and Plasmodium vivax malaria cases reported by month in 2007, across the 70 endemic thanas (sub-districts) in Bangladesh, were assembled from health centre surveillance reports. Bayesian Poisson regression models of incidence were constructed, with fixed effects for monthly rainfall, maximum temperature and elevation, and random effects for thanas, with a conditional autoregressive prior spatial structure. Results The annual incidence of reported cases was 34.0 and 9.6 cases/10,000 population for P. falciparum and P. vivax respectively and the population of the 70 malaria-endemic thanas was approximately 13.5 million in 2007. Incidence of reported cases for both types of malaria was highest in the mountainous south-east of the country (the Chittagong Hill Tracts). Models revealed statistically significant positive associations between the incidence of reported P. vivax and P. falciparum cases and rainfall and maximum temperature. Conclusions The risk of P. falciparum and P. vivax was spatially variable across the endemic thanas of Bangladesh and also highly seasonal, suggesting that interventions should be targeted and timed according to the risk profile of the endemic areas. Rainfall, temperature and elevation are major factors driving the spatiotemporal patterns of malaria in Bangladesh.
机译:背景疟疾仍然是孟加拉国一个严重的健康问题,影响了64个地区中的13个地区。疟疾的风险在整个流行地区和全年都不尽相同。更好地了解疟疾风险的时空格局以及导致这种变化的决定因素,对于根据《国家疟疾控制和预防计划》适当确定干预措施至关重要。方法根据卫生中心的监测报告,汇总了孟加拉国70个地方病(分区)中2007年每月报告的恶性疟原虫和间日疟原虫的病例数。构造了贝叶斯泊松回归模型,具有固定的月降雨量,最高温度和海拔高度影响,以及随机的比那效应,并具有条件自回归的先验空间结构。结果2007年恶性疟原虫和间日疟原虫的报告病例年发生率分别为34.0和9.6例/每10,000人口,并且70个疟疾流行区的人口约为1,350万。两种类型的疟疾的报告病例发生率在该国东南山区(吉大港山区)最高。模型揭示了报告的间日疟原虫和恶性疟原虫病例与降雨和最高温度之间的统计学显着正相关。结论在孟加拉国各地,恶性疟原虫和间日疟原虫的风险在空间上是可变的,而且季节性也很强,这表明应根据流行地区的风险状况确定干预措施并确定时间。降雨,气温和海拔升高是驱动孟加拉国疟疾时空格局的主要因素。

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