Exploring Active Case Detection Approaches for Leprosy Diagnosis in Varied Endemic Settings: A Comprehensive Scoping Review

Author:

Brown Heynes12,Fastenau Anil3456ORCID,Penna Srilekha3ORCID,Saunderson Paul7ORCID,Klabbers Gonnie2ORCID

Affiliation:

1. School of Medicine, Dentistry & Biomedical Sciences, Queen’s University Belfast, Belfast BT7 1NN, UK

2. Department of Health Ethics and Society, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht 6211 LK, The Netherlands

3. German Leprosy and Tuberculosis Relief Association (GLRA/DAHW), Wuerzburg 97080, Germany

4. Marie Adelaide Leprosy Centre (MALC), Karachi 74400, Pakistan

5. Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg 69117, Germany

6. Department of Global Health, Institute of Public Health and Nursing Research, University of Bremen, Bremen 28359, Germany

7. American Leprosy Missions, Greenville, SC 29601, USA

Abstract

(1) Background: The global burden of leprosy is not shared equally; with the majority of cases being diagnosed in Brazil, India, and Indonesia. Understanding the methods of active case detection (ACD) used in high and low endemic regions is vital for the development of future screening programs. (2) Methods: A systematic search of three databases, PubMed, Embase and Web of Science, was conducted for English language papers, published since the year 2000, which discussed the use of active case detection methods for leprosy screening. The paper utilised the Integrated Screening Action Model (I-SAM) as a tool for the analysis of these methods. (3) Results: 23 papers were identified from 11 different countries. The papers identified 6 different methods of active case detection: Household contact/social contact identification; door-to-door case detection; screening questionnaire distribution; rapid village surveys; school-based screening; and prison-based screening. 15 were located in high endemic regions and 8 of these were located in low endemic regions. (4) Conclusions: For selecting the appropriate methods of active case finding, the leprosy endemicity must be taken into consideration. The findings contribute to policy decision making allowing for more successful future leprosy case detection programs to be designed, ultimately reducing the global burden of the disease, and achieving the WHO’s aim of zero leprosy.

Publisher

MDPI AG

Reference37 articles.

1. Establishing a standard method for analysing case detection delay in leprosy using a Bayesian modelling approach;Hambridge;Infect. Dis. Poverty,2023

2. Leprosy: A review of epidemiology, clinical diagnosis, and Management;Chen;J. Trop. Med.,2022

3. WHO (2023, March 22). Leprosy. World Health Organization. Available online: https://www.who.int/news-room/fact-sheets/detail/leprosy.

4. Jonnalagada, S. (2023, May 20). Number of New Leprosy Cases. Available online: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-new-leprosy-cases.

5. Makhakhe, L. (2021). Leprosy review. S. Afr. Fam. Pract., 63.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3