Hambridge Thomas, Blok David J, Mamo Ephrem, Richardus Jan Hendrik, de Vlas Sake J
Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Aklilu Lemma Institute of Pathobiology (ALIPB), Addis Ababa University, Addis Ababa, Ethiopia.
J Epidemiol Glob Health. 2025 Mar 4;15(1):34. doi: 10.1007/s44197-025-00370-5.
Leprosy is a chronic infectious disease that remains a public health challenge in many low- and middle-income countries. The mainstay of leprosy control has been early detection and treatment through active case finding. In this study, we aimed to predict the epidemiological impact of community-based skin camps to shorten the period of leprosy case detection delay in a population.
We used the individual-based model SIMCOLEP to predict the epidemiological impact of two successive community-based skin camps with 50%, 70% and 90% target population coverage conducted five years apart (in 2024 and 2029). The model was calibrated to the leprosy situation in East Hararghe zone, Ethiopia (2008-2023).
There was a short-term rise in the new case detection rate due to a backlog of cases being discovered, but no difference in the long run compared to the baseline situation (i.e., no intervention). However, all strategies substantially decreased the prevalence of undiagnosed symptomatic cases in the population. Skin camps with 50% coverage resulted in 21.8% (95% CI: 20.1-23.5%) fewer cases per million in 2035, while increasing the coverage to 90% led to a reduction of 33.0% (95% CI: 31.5-34.4%) in 2035. This impact was sustained for the skin camps with 90% coverage, with a 30.9% reduction compared to baseline in 2040.
Our findings suggest that shortening the period of leprosy case detection delay through community-based skin camps could substantially reduce the prevalence of symptomatic cases in high endemic regions, leading to improved disease control.
麻风病是一种慢性传染病,在许多低收入和中等收入国家仍然是一项公共卫生挑战。麻风病控制的主要手段一直是通过主动病例发现进行早期检测和治疗。在本研究中,我们旨在预测基于社区的皮肤筛查营对缩短人群中麻风病病例检测延迟期的流行病学影响。
我们使用基于个体的模型SIMCOLEP来预测相隔五年(2024年和2029年)开展的两次连续的基于社区的皮肤筛查营,目标人群覆盖率分别为50%、70%和90%的流行病学影响。该模型已根据埃塞俄比亚东哈拉尔格地区(2008 - 2023年)的麻风病情况进行了校准。
由于积压病例被发现,新病例检测率出现短期上升,但从长远来看与基线情况(即无干预)相比没有差异。然而,所有策略都大幅降低了人群中未诊断出的有症状病例的患病率。覆盖率为50%的皮肤筛查营在2035年使每百万人口中的病例数减少了21.8%(95%置信区间:20.1 - 23.5%),而将覆盖率提高到90%则在2035年导致病例数减少33.0%(95%置信区间:31.5 - 34.4%)。对于覆盖率为90%的皮肤筛查营,这种影响持续存在,到2040年与基线相比减少了30.9%。
我们的研究结果表明,通过基于社区的皮肤筛查营缩短麻风病病例检测延迟期,可以大幅降低高流行地区有症状病例的患病率,从而改善疾病控制。