Metelka Julia, Robertson Colin, Stephen Craig
Department of Geography & Environmental Studies, Wilfrid Laurier University, Waterloo, ON, Canada.
Canadian Wildlife Health Cooperative, Saskatoon, Canada.
AIMS Public Health. 2015 Aug 31;2(4):601-615. doi: 10.3934/publichealth.2015.4.601. eCollection 2015.
Limited surveillance programs and lack of diagnostic laboratory testing capacity in many low and middle income Asian countries have made it difficult to validate epidemiological patterns and anticipate future changes in disease risk. In this study, we consider the case of Japanese Encephalitis in Asia and examine how populations of human hosts and animal reservoirs are expected to change over the next three decades. Growth was modelled at the sub-national level for rural and urban areas to estimate where high-density, susceptible populations will potentially overlap with populations of the virus' amplifying host. High-risk areas based on these projections were compared to the current distribution of Japanese Encephalitis, and known immunization activities in order to identify areas of highest priority for concern. Results indicated that mapping JE risk factors at the sub-national level is an effective way to contextualize and supplement JE surveillance data. New patterns of risk factor change occurring in Southeast Asia were identified, including around major urban areas experiencing both urbanization and growth in pig populations. A hotspot analysis of pig-to-population ratio found a significant spatial cluster extending northward through Southeast Asia and interior China. Mapping forecasted changes in risk factors for JE highlights regions vulnerable to emerging zoonoses and may be an important tool for developing effecting transnational health policies.
许多亚洲低收入和中等收入国家的监测项目有限,且缺乏诊断实验室检测能力,这使得验证流行病学模式和预测疾病风险的未来变化变得困难。在本研究中,我们以亚洲的日本脑炎为例,研究人类宿主和动物宿主种群在未来三十年预计将如何变化。在国家以下层面针对农村和城市地区对增长情况进行建模,以估计高密度易感人群可能与病毒扩增宿主种群重叠的地点。根据这些预测得出的高风险地区与日本脑炎的当前分布以及已知的免疫活动进行比较,以确定最需要关注的优先地区。结果表明,在国家以下层面绘制日本脑炎风险因素图是将日本脑炎监测数据情境化并加以补充的有效方法。确定了东南亚出现的风险因素变化新模式,包括在经历城市化和猪种群增长的主要城市地区周边。对猪与人的比例进行的热点分析发现,一个显著的空间聚集区向北延伸至东南亚和中国内陆。绘制日本脑炎风险因素的预测变化图突出了易受新发人畜共患病影响的地区,可能是制定有效的跨国卫生政策的重要工具。