02107nas a2200361   4500000000100000008004100001260003700042653001200079653002400091653001900115653001000134653002400144653003100168100001500199700001400214700001700228700001500245700001700260700001300277700001900290700001600309700001500325700001700340700001200357700002500369700001500394245011400409856010400523300000800627490000600635520109000641022001401731       2025                            d  bPublic Library of Science (PLoS)10aLeprosy10aGeospatial analysis10aCase detection10aTools10aLeprosy elimination10aCost-effectivines Analysis1 aFastenau A1 aGadah DAY1 aBakoubayi AW1 aGnossike P1 aSchwermann F1 aWillis M1 aSchlumberger F1 aHambridge T1 aVedithi SC1 aStuetzle SCW1 aDeps PD1 aOrtuño-Gutiérrez N1 aRestrepo D00aGeospatial tools in leprosy elimination: Enhancing precision in active case detection and resource allocation  uhttps://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0001068&type=printable  a1-50 v43 a<p>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.</p>
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