02268nas a2200241 4500000000100000008004100001260004500042653002400087653001300111653002900124653002500153100001400178700002200192700002000214700003900234700002200273245012600295856005900421300001100480490000700491520151400498022001402012 2026 d c05/2026bRevista Veterinaria e Zootecnia10aModels, Statistical10aResearch10aLeishmaniasis, Cutaneous10aEnvironmental change1 aCorreia J1 aGomes Dias-Lima A1 aAlves da Cruz L1 aVilanova Oliveira do Nascimento PM1 aVieira da Silva A00aStatistical and Spatial Models Drive Research Networks on Cutaneous Leishmaniasis and Environmental Changes (1999–2024) uhttps://rvz.emnuvens.com.br/rvz/article/view/1763/1145 a1 - 330 v333 aCutaneous Leishmaniasis is a neglected tropical disease with wide geographic distribution that has increasingly drawn the attention of the scientific community in various regions of the world. This bibliometric review aimed to identify key research trends related to Cutaneous Leishmaniasis and environmental changes by synthesizing scientific output and mapping collaborative research networks from studies indexed in the Scopus (Elsevier) database. Article selection was carried out using the Rayyan platform for three authors and the visualization and analysis of co-authorship and keyword co-occurrence networks were performed using Rayyan software, R tools, VOSviewer® and Microsoft Excel 2010®. The results reveal a consistent growth in publications on the subject since the late 1990s, with English as the predominant language and Acta Tropica as the most frequent journal. The largest collaborative networks are led by researchers and institutions from Brazil and the United States. The semantics of the co-occurrence of keywords and the synthesis of the most cited articles suggest an increase in epidemiological studies, surveillance initiatives and health management, driven by the integration of statistical and spatial analysis tools and the comprehensiveness of the data used. Research on Cutaneous Leishmaniasis has been consolidating itself as an interdisciplinary field, allowing the understanding of the current dynamics of the disease and anticipation of future scenarios a2178-3764