Infectious Disease Epidemiology Unit, Level 4 Public Health Building, School of Population Health, University of Queensland, Herston, QLD 4006, Australia.
Malar J. 2012 May 21;11:170. doi: 10.1186/1475-2875-11-170.
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.
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.
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.
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.
疟疾仍然是孟加拉国一个严重的健康问题,影响到 64 个区中的 13 个。疟疾的风险在流行地区和全年都有所不同。更好地了解疟疾风险的时空模式以及驱动这种变化的决定因素,对于在国家疟疾控制和预防规划下,适当针对干预措施至关重要。
从卫生中心监测报告中收集了 2007 年孟加拉国 70 个流行县(相当于中国的乡)每月报告的间日疟原虫和恶性疟原虫疟疾病例数。构建了发病率的贝叶斯泊松回归模型,固定效应包括每月降雨量、最高温度和海拔,随机效应包括县,具有条件自回归先验空间结构。
报告病例的年发病率分别为 34.0 和 9.6 例/10000 人,分别为间日疟和恶性疟,2007 年 70 个疟疾流行县的人口约为 1350 万。两种类型的疟疾报告病例的发病率在该国东南部多山地区(吉大港山区)最高。模型显示,报告的间日疟和恶性疟病例的发病率与降雨量和最高温度之间存在统计学上显著的正相关关系。
孟加拉国流行县的间日疟和恶性疟风险在空间上存在差异,且具有很强的季节性,这表明干预措施应根据流行地区的风险状况进行针对性和定时性的实施。降雨量、温度和海拔是驱动孟加拉国疟疾时空模式的主要因素。