Albert Mugenyi, Wardrop Nicola A, Atkinson Peter M, Torr Steve J, Welburn Susan C
Coordinating Office for Control of Trypanosomiasis in Uganda, Kampala, Uganda; Division of Infection and Pathway Medicine & Centre for Infectious Diseases, School of Biomedical Sciences, College of Medicine & Veterinary Medicine, The University of Edinburgh, Edinburgh, Scotland.
Geography and Environment, University of Southampton, Southampton, United Kingdom.
PLoS Negl Trop Dis. 2015 Apr 15;9(4):e0003705. doi: 10.1371/journal.pntd.0003705. eCollection 2015 Apr.
Tsetse flies transmit trypanosomes, the causative agent of human and animal African trypanosomiasis. The tsetse vector is extensively distributed across sub-Saharan Africa. Trypanosomiasis maintenance is determined by the interrelationship of three elements: vertebrate host, parasite and the vector responsible for transmission. Mapping the distribution and abundance of tsetse flies assists in predicting trypanosomiasis distributions and developing rational strategies for disease and vector control. Given scarce resources to carry out regular full scale field tsetse surveys to up-date existing tsetse maps, there is a need to devise inexpensive means for regularly obtaining dependable area-wide tsetse data to guide control activities. In this study we used spatial epidemiological modelling techniques (logistic regression) involving 5000 field-based tsetse-data (G. f. fuscipes) points over an area of 40,000 km2, with satellite-derived environmental surrogates composed of precipitation, temperature, land cover, normalised difference vegetation index (NDVI) and elevation at the sub-national level. We used these extensive tsetse data to analyse the relationships between presence of tsetse (G. f. fuscipes) and environmental variables. The strength of the results was enhanced through the application of a spatial autologistic regression model (SARM). Using the SARM we showed that the probability of tsetse presence increased with proportion of forest cover and riverine vegetation. The key outputs are a predictive tsetse distribution map for the Lake Victoria basin of Uganda and an improved understanding of the association between tsetse presence and environmental variables. The predicted spatial distribution of tsetse in the Lake Victoria basin of Uganda will provide significant new information to assist with the spatial targeting of tsetse and trypanosomiasis control.
采采蝇传播锥虫,而锥虫是人类和动物非洲锥虫病的病原体。采采蝇媒介广泛分布于撒哈拉以南非洲地区。锥虫病的维持取决于三个要素之间的相互关系:脊椎动物宿主、寄生虫以及负责传播的媒介。绘制采采蝇的分布和丰度图有助于预测锥虫病的分布,并制定合理的疾病和媒介控制策略。鉴于开展定期全面的野外采采蝇调查以更新现有采采蝇分布图的资源稀缺,有必要设计出低成本的方法,以便定期获取可靠的全区域采采蝇数据,以指导控制活动。在本研究中,我们使用了空间流行病学建模技术(逻辑回归),该技术涉及在40000平方公里区域内的5000个基于实地的采采蝇数据(G. f. fuscipes)点,并结合了来自卫星的环境替代指标,包括降水、温度、土地覆盖、归一化植被指数(NDVI)和国家以下层面的海拔数据。我们利用这些广泛的采采蝇数据来分析采采蝇(G. f. fuscipes)的存在与环境变量之间的关系。通过应用空间自逻辑回归模型(SARM),结果的说服力得到了增强。使用SARM,我们发现采采蝇出现的概率随着森林覆盖和河边植被比例的增加而上升。关键成果是乌干达维多利亚湖流域的采采蝇预测分布图,以及对采采蝇存在与环境变量之间关联的更好理解。乌干达维多利亚湖流域采采蝇的预测空间分布将提供重要的新信息,以协助采采蝇和锥虫病控制的空间定位。