Ediriweera Dileepa Senajith, Kasturiratne Anuradhani, Pathmeswaran Arunasalam, Gunawardena Nipul Kithsiri, Wijayawickrama Buddhika Asiri, Jayamanne Shaluka Francis, Isbister Geoffrey Kennedy, Dawson Andrew, Giorgi Emanuele, Diggle Peter John, Lalloo David Griffith, de Silva Hithanadura Janaka
ICT Centre, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Department of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
PLoS Negl Trop Dis. 2016 Jul 8;10(7):e0004813. doi: 10.1371/journal.pntd.0004813. eCollection 2016 Jul.
There is a paucity of robust epidemiological data on snakebite, and data available from hospitals and localized or time-limited surveys have major limitations. No study has investigated the incidence of snakebite across a whole country. We undertook a community-based national survey and model based geostatistics to determine incidence, envenoming, mortality and geographical pattern of snakebite in Sri Lanka.
METHODOLOGY/PRINCIPAL FINDINGS: The survey was designed to sample a population distributed equally among the nine provinces of the country. The number of data collection clusters was divided among districts in proportion to their population. Within districts clusters were randomly selected. Population based incidence of snakebite and significant envenoming were estimated. Model-based geostatistics was used to develop snakebite risk maps for Sri Lanka. 1118 of the total of 14022 GN divisions with a population of 165665 (0.8%of the country's population) were surveyed. The crude overall community incidence of snakebite, envenoming and mortality were 398 (95% CI: 356-441), 151 (130-173) and 2.3 (0.2-4.4) per 100000 population, respectively. Risk maps showed wide variation in incidence within the country, and snakebite hotspots and cold spots were determined by considering the probability of exceeding the national incidence.
CONCLUSIONS/SIGNIFICANCE: This study provides community based incidence rates of snakebite and envenoming for Sri Lanka. The within-country spatial variation of bites can inform healthcare decision making and highlights the limitations associated with estimates of incidence from hospital data or localized surveys. Our methods are replicable, and these models can be adapted to other geographic regions after re-estimating spatial covariance parameters for the particular region.
关于蛇咬伤的可靠流行病学数据匮乏,而来自医院以及局部或限时调查的数据存在重大局限性。尚无研究对整个国家的蛇咬伤发病率进行调查。我们开展了一项基于社区的全国性调查以及基于模型的地理统计学研究,以确定斯里兰卡蛇咬伤的发病率、中毒情况、死亡率及地理分布模式。
方法/主要发现:该调查旨在对该国九个省份中人口分布均等的人群进行抽样。数据收集群组的数量按照各地区人口比例分配到各个地区。在各地区内随机选取群组。估算了基于人群的蛇咬伤和严重中毒发病率。采用基于模型的地理统计学方法绘制了斯里兰卡蛇咬伤风险地图。在总共14022个 GN 分区中,对其中1118个分区(人口为165665人,占该国人口的0.8%)进行了调查。蛇咬伤、中毒及死亡的总体社区粗发病率分别为每10万人398例(95%置信区间:356 - 441)、151例(130 - 173)和2.3例(0.2 - 4.4)。风险地图显示该国发病率差异很大,通过考虑超过全国发病率的概率确定了蛇咬伤热点和冷点地区。
结论/意义:本研究提供了斯里兰卡基于社区的蛇咬伤和中毒发病率。国内咬伤情况的空间差异可为医疗决策提供参考,并凸显了医院数据或局部调查所得发病率估计值的局限性。我们的方法具有可重复性,重新估算特定地区的空间协方差参数后,这些模型可适用于其他地理区域。