Epidemiology and Preventive Medicine Units,Central Tuscany Health Authority,Florence,Italy.
Department of Public Health and Infectious Diseases,Faculty of Medicine and Pharmacy,'Sapienza' University of Rome,Rome,Italy.
Epidemiol Infect. 2019 Jan;147:e103. doi: 10.1017/S0950268819000177.
In Sierra Leone, the Ebola virus disease (EVD) outbreak occurred with substantial differences between districts with someone even not affected. To monitor the epidemic, a community event-based surveillance system was set up, collecting data into the Viral Haemorrhagic Fever (VHF) database. We analysed the VHF database of Tonkolili district to describe the epidemiology of the EVD outbreak during July 2014-June 2015 (data availability). Multivariable analysis was used to identify risk factors for EVD, fatal EVD and barriers to healthcare access, by comparing EVD-positive vs. EVD-negative cases. Key-performance indicators for EVD response were also measured. Overall, 454 EVD-positive cases were reported. At multivariable analysis, the odds of EVD was higher among those reporting contacts with an EVD-positive/suspected case (odds ratio (OR) 2.47; 95% confidence interval (CI) 2.44-2.50; P < 0.01) and those attending funeral (OR 1.02; 95% CI 1.01-1.04; P < 0.01). EVD cases from Kunike chiefdom had a lower odds of death (OR 0.22; 95% CI 0.08-0.44; P < 0.01) and were also more likely to be hospitalised (OR 2.34; 95% CI 1.23-4.57; P < 0.05). Only 25.1% of alerts were generated within 1 day from symptom onset. EVD preparedness and response plans for Tonkolili should include social-mobilisation activities targeting Ebola/knowledge-attitudes-practice during funeral attendance, to avoid contact with suspected cases and to increase awareness on EVD symptoms, in order to reduce delays between symptom onset to alert generation and consequently improve the outbreak-response promptness.
在塞拉利昂,埃博拉病毒病(EVD)疫情在各地区之间存在显著差异,甚至有人未受影响。为了监测疫情,建立了一个基于社区事件的监测系统,将数据纳入病毒性出血热(VHF)数据库。我们分析了通科利利区的 VHF 数据库,以描述 2014 年 7 月至 2015 年 6 月期间 EVD 疫情的流行病学情况(数据可用性)。通过比较 EVD 阳性病例和 EVD 阴性病例,多变量分析用于确定 EVD、致命 EVD 和医疗保健获取障碍的危险因素。还测量了 EVD 应对的关键绩效指标。总体而言,报告了 454 例 EVD 阳性病例。在多变量分析中,报告与 EVD 阳性/疑似病例有接触(比值比 (OR) 2.47;95%置信区间 [CI] 2.44-2.50;P < 0.01)和参加葬礼的人(OR 1.02;95%CI 1.01-1.04;P < 0.01)发生 EVD 的几率更高。来自 Kunike 酋长领地的 EVD 病例死亡的几率较低(OR 0.22;95%CI 0.08-0.44;P < 0.01),更有可能住院(OR 2.34;95%CI 1.23-4.57;P < 0.05)。只有 25.1%的警报是在症状出现后 1 天内生成的。通科利利的 EVD 准备和应对计划应包括在葬礼期间针对埃博拉/知识-态度-实践的社会动员活动,以避免与疑似病例接触,并提高对 EVD 症状的认识,以减少从症状出现到警报生成的时间延迟,从而提高疫情应对的及时性。