社区背景和邻里尺度细节，以解释哥伦比亚卡利市登革热、基孔肯雅热和寨卡病毒的流行模式。
Community context and sub-neighborhood scale detail to explain dengue, chikungunya and Zika patterns in Cali, Colombia.
作者信息
Krystosik Amy R, Curtis Andrew, Buritica Paola, Ajayakumar Jayakrishnan, Squires Robert, Dávalos Diana, Pacheco Robinson, Bhatta Madhav P, James Mark A
机构信息
Department of Biostatistics, Environmental Health Sciences, and Epidemiology, College of Public Health, Kent State University, Kent, OH, United States of America.
Health & Hazards Lab, Department of Geography, Kent State University, Kent, OH, United States of America.
出版信息
PLoS One. 2017 Aug 2;12(8):e0181208. doi: 10.1371/journal.pone.0181208. eCollection 2017.
BACKGROUND
Cali, Colombia has experienced chikungunya and Zika outbreaks and hypoendemic dengue. Studies have explained Cali's dengue patterns but lack the sub-neighborhood-scale detail investigated here.
METHODS
Spatial-video geonarratives (SVG) with Ministry of Health officials and Community Health Workers were collected in hotspots, providing perspective on perceptions of why dengue, chikungunya and Zika hotspots exist, impediments to control, and social outcomes. Using spatial video and Google Street View, sub-neighborhood features possibly contributing to incidence were mapped to create risk surfaces, later compared with dengue, chikungunya and Zika case data.
RESULTS
SVG captured insights in 24 neighborhoods. Trash and water risks in Calipso were mapped using SVG results. Perceived risk factors included proximity to standing water, canals, poverty, invasions, localized violence and military migration. These risks overlapped case density maps and identified areas that are suitable for transmission but are possibly underreporting to the surveillance system.
CONCLUSION
Resulting risk maps with local context could be leveraged to increase vector-control efficiency- targeting key areas of environmental risk.
背景
哥伦比亚的卡利曾经历基孔肯雅热和寨卡疫情，登革热呈低流行态势。此前已有研究对卡利的登革热发病模式进行了解释，但缺乏本研究中所调查的社区以下尺度的详细信息。
方法
在热点地区与卫生部官员和社区卫生工作者收集了空间视频地理叙事（SVG），以了解关于登革热、基孔肯雅热和寨卡热点地区为何存在、控制障碍以及社会后果的看法。利用空间视频和谷歌街景，绘制了可能导致发病率上升的社区以下特征，以创建风险曲面，并随后与登革热、基孔肯雅热和寨卡病例数据进行比较。
结果
SVG在24个社区获取了相关见解。利用SVG结果绘制了卡里普索的垃圾和水风险图。感知到的风险因素包括靠近积水、运河、贫困、非法占地、局部暴力和军事移民。这些风险与病例密度图重叠，并确定了适合传播但可能未向监测系统报告的区域。
结论
结合当地情况得出的风险图可用于提高病媒控制效率，即针对环境风险的关键区域。
Zotero 插件