Department of Geography and Geoinformation Sciences, George Mason University, Fairfax, VA, USA.
Acta Trop. 2012 Sep;123(3):178-83. doi: 10.1016/j.actatropica.2012.05.001. Epub 2012 May 17.
This study examined the impact of road networks on the distribution of dengue fever cases in Trinidad, West Indies. All confirmed cases of dengue hemorrhagic fever (DHF) observed during 1998 were georeferenced and spatially located on a road map of Trinidad using Geographic Information Systems software. A new digital geographic layer representing these cases was created and the distances from these cases to the nearest classified road category (5 classifications based on a functional utility system) were examined. The distance from each spatially located DHF case to the nearest road in each of the 5 road subsets was determined and then subjected to an ANOVA and t-test to determine levels of association between minor road networks (especially 3rd and 4th class roads) and DHF cases and found DHF cases were located away from forests, especially 5th class roads). The frequency of DHF cases to different road classes was: 0% (1st class roads), 7% (2nd class roads), 32% (3rd class roads), 57% (4th class roads) and 4% (5th class road). The data clearly demonstrated that both class 3 and class 4 roads account for 89% of nearby dengue cases. These results represent the first evidence of dengue cases being found restricted between forested areas and major highways and would be useful when planning and implementing control strategies for dengue and Aedes aegypti mosquitoes.
本研究探讨了道路网络对西印度特立尼达登革热病例分布的影响。使用地理信息系统软件，将 1998 年观察到的所有登革出血热（DHF）确诊病例进行地理参考和空间定位在特立尼达的道路图上。创建了一个新的数字地理层来表示这些病例，并检查了这些病例与最近的分类道路类别（基于功能实用系统的 5 个分类）的距离。确定了每个空间定位的 DHF 病例到 5 个道路子集中每个最近道路的距离，然后对其进行方差分析和 t 检验，以确定次要道路网络（特别是第 3 类和第 4 类道路）与 DHF 病例之间的关联程度，并发现 DHF 病例位于远离森林的地方，特别是第 5 类道路）。不同道路类别与 DHF 病例的频率分别为：0%（1 类道路）、7%（2 类道路）、32%（3 类道路）、57%（4 类道路）和 4%（5 类道路）。数据清楚地表明，第 3 类和第 4 类道路共占附近登革热病例的 89%。这些结果代表了在森林地区和主要高速公路之间发现登革热病例受到限制的第一个证据，在规划和实施登革热和埃及伊蚊控制策略时将非常有用。
