Department of Animal Health, Institute of Tropical Medicine, Antwerp, Belgium.
Transbound Emerg Dis. 2011 Feb;58(1):44-52. doi: 10.1111/j.1865-1682.2010.01180.x. Epub 2010 Nov 16.
Foot-and-mouth disease (FMD) is endemic in Tanzania, with outbreaks occurring almost each year in different parts of the country. There is now a strong political desire to control animal diseases as part of national poverty alleviation strategies. However, FMD control requires improving the current knowledge on the disease dynamics and factors related to FMD occurrence so control measures can be implemented more efficiently. The objectives of this study were to describe the FMD dynamics in Tanzania from 2001 to 2006 and investigate the spatiotemporal patterns of transmission. Extraction maps, the space-time K-function and space-time permutation models based on scan statistics were calculated for each year to evaluate the spatial distribution, the spatiotemporal interaction and the spatiotemporal clustering of FMD-affected villages. From 2001 to 2006, 878 FMD outbreaks were reported in 605 different villages of 5815 populated places included in the database. The spatial distribution of FMD outbreaks was concentrated along the Tanzania-Kenya, Tanzania-Zambia borders, and the Kagera basin bordering Uganda, Rwanda and Tanzania. The spatiotemporal interaction among FMD-affected villages was statistically significant (P≤0.01) and 12 local spatiotemporal clusters were detected; however, the extent and intensity varied across the study period. Dividing the country in zones according to their epidemiological status will allow improving the control of FMD and delimiting potential FMD-free areas.
口蹄疫(FMD)在坦桑尼亚流行,几乎每年在该国不同地区都会爆发疫情。现在,作为国家扶贫战略的一部分,坦桑尼亚政府有强烈的愿望来控制动物疾病。然而,口蹄疫的控制需要提高对疾病动态和与口蹄疫发生相关因素的现有知识,以便更有效地实施控制措施。本研究的目的是描述 2001 年至 2006 年坦桑尼亚的口蹄疫动态,并调查其传播的时空模式。针对每年的数据计算了提取地图、时空 K 函数和基于扫描统计的时空置换模型,以评估受口蹄疫影响的村庄的空间分布、时空相互作用和时空聚类。2001 年至 2006 年,数据库中包含的 5815 个人口点中的 605 个不同村庄共报告了 878 次口蹄疫疫情。口蹄疫疫情的空间分布集中在坦桑尼亚-肯尼亚、坦桑尼亚-赞比亚边界以及与乌干达、卢旺达和坦桑尼亚接壤的卡盖拉流域。受口蹄疫影响的村庄之间的时空相互作用具有统计学意义(P≤0.01),检测到 12 个局部时空集群;然而,其范围和强度在整个研究期间有所不同。根据其流行病学状况将该国划分为不同区域,将有助于改善口蹄疫的控制并划定潜在的无口蹄疫区。