Bihar Technical Support Program, CARE-India Solutions for Sustainable Development, Patna, India.
Institute for Global Health Sciences, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Front Cell Infect Microbiol. 2021 Mar 24;11:648903. doi: 10.3389/fcimb.2021.648903. eCollection 2021.
As India moves toward the elimination of visceral leishmaniasis (VL) as a public health problem, comprehensive timely case detection has become increasingly important, in order to reduce the period of infectivity and control outbreaks. During the 2000s, localized research studies suggested that a large percentage of VL cases were never reported in government data. However, assessments conducted from 2013 to 2015 indicated that 85% or more of confirmed cases were eventually captured and reported in surveillance data, albeit with significant delays before diagnosis. Based on methods developed during these assessments, the CARE India team evolved new strategies for active case detection (ACD), applicable at large scale while being sufficiently effective in reducing time to diagnosis. Active case searches are triggered by the report of a confirmed VL case, and comprise two major search mechanisms: 1) case identification based on the index case's knowledge of other known VL cases and searches in nearby houses (snowballing); and 2) sustained contact over time with a range of private providers, both formal and informal. Simultaneously, house-to-house searches were conducted in 142 villages of 47 blocks during this period. We analyzed data from 5030 VL patients reported in Bihar from January 2018 through July 2019. Of these 3033 were detected passively and 1997 ACD (15 (0.8%) house-to-house and 1982 (99.2%) by light touch ACD methods). We constructed multinomial logistic regression models comparing time intervals to diagnosis (30-59, 60-89 and ≥90 days with <30 days as the referent). ACD and younger age were associated with shorter time to diagnosis, while male sex and HIV infection were associated with longer illness durations. The advantage of ACD over PCD was more marked for longer illness durations: the adjusted odds ratios for having illness durations of 30-59, 60-89 and >=90 days compared to the referent of <30 days for ACD vs PCD were 0.88, 0.56 and 0.42 respectively. These ACD strategies not only reduce time to diagnosis, and thus risk of transmission, but also ensure that there is a double check on the proportion of cases actually getting captured. Such a process can supplement passive case detection efforts that must go on, possibly perpetually, even after elimination as a public health problem is achieved.
随着印度朝着消除内脏利什曼病(VL)这一公共卫生问题迈进,全面、及时的病例发现变得越来越重要,以减少传染性期并控制疫情爆发。在 21 世纪 00 年代,局部研究表明,政府数据中从未报告过很大比例的 VL 病例。然而,2013 年至 2015 年进行的评估表明,85%或更多的确诊病例最终在监测数据中被捕获和报告,尽管在诊断前存在显著的延迟。基于这些评估中开发的方法,CARE 印度团队为主动病例发现(ACD)制定了新策略,适用于大规模应用,同时在减少诊断时间方面非常有效。主动病例搜索是根据确诊 VL 病例的报告触发的,包括两种主要的搜索机制:1)根据索引病例对其他已知 VL 病例的了解以及对附近房屋的搜索进行病例识别(滚雪球);2)随着时间的推移与一系列私人提供者(包括正式和非正式的)保持联系。同时,在此期间对 47 个街区的 142 个村庄进行了逐户搜索。我们分析了 2018 年 1 月至 2019 年 7 月期间在比哈尔邦报告的 5030 例 VL 患者的数据。其中 3033 例为被动发现,1997 例为 ACD(15 例(0.8%)为逐户搜索,1982 例(99.2%)为轻触 ACD 方法)。我们构建了多变量逻辑回归模型,比较了诊断时间间隔(30-59、60-89 和≥90 天与<30 天作为参照)。ACD 和年龄较小与较短的诊断时间相关,而男性和 HIV 感染与较长的疾病持续时间相关。与 PCD 相比,ACD 的优势在疾病持续时间较长时更为明显:ACD 与 PCD 相比,疾病持续时间为 30-59、60-89 和>=90 天的调整后比值比分别为 0.88、0.56 和 0.42。这些 ACD 策略不仅缩短了诊断时间,从而降低了传播风险,而且还确保了对实际捕获病例的比例进行了双重检查。即使在消除作为公共卫生问题之后,这种持续进行的主动病例检测方法也可以补充被动病例检测工作。