Geospatial tools in leprosy elimination: Enhancing precision in active case detection and resource allocation
Rattachement africain : de, nl, Togo, gb, br. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Leprosy, known also as Hansen’s disease, is an infectious highly stigmatizing neglected tropical disease (NTD) that may cause permanent disabilities [1]. Despite significant advances in treatment and control, leprosy remains a global public health concern with close to 200,000 new cases of leprosy notified worldwide annually [2]. Reaching out to missing and hidden cases, along with early diagnosis, are priorities for successful leprosy control and elimination [3]. Geographical Information Systems (GIS) have shown promising results in improving disease control strategies by identifying high-risk areas for targeted interventions [4]. Additionally, GIS provides the ability to display spatial distribution of diseases by integrating geographical data with tabular information from sources such as spreadsheets, tables, and graphs [5]. We advocate for concrete integration of GIS in leprosy control, aiming at the elimination of transmission, underscoring its potential to refine active case detection (ACD), optimize resource allocation, and enhance cost-effectiveness
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Geospatial tools in leprosy elimination: Enhancing precision in active case detection and resource allocation
- Date Crossref
- 07/11/2025
- Éditeur
- Public Library of Science (PLoS)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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