Editorial: One Health approaches and modeling in parasitology in the climate change framework and possible supporting tools adopting GIS and remote sensing

作者：Tommaso Orusa, Annalisa Viani, Silvio Gerardo d’Alessio, Riccardo Orusa, Cyril Caminade · 发表于：Frontiers in Parasitology · 年份：2025 · DOI：10.3389/fpara.2025.1560799 · 被引用次数：11 · 研究领域：Zoonotic diseases and public health、Viral Infections and Vectors、Vector-Borne Animal Diseases

The ongoing impacts of climate change are significantly affecting the epidemiology of parasitic diseases (Víchová et al., 2018), with rising temperatures, shifting precipitation, and extreme weather altering the habitats (Zhao et al., 2021;Viani et al., 2023c) and life cycles of vectors and pathogens (Adler et al., 2019;Afuye et al., 2021;Orusa et al., 2023b). Zoonotic diseases, which make up about 75% of emerging infectious diseases in humans, are one the rise (Viani et al., 2023a, n.d.). Such increase is often linked to changes in wildlife behavior and habitat due to human activities. Technological advancements in Earth Observation (EO) (Orusa et al., 2024b), Geographic Information Systems (GIS), and Remote Sensing have enabled the creation of suitability maps (Anyamba et al., 2012;Orusa et al., 2022b;Viani et al., 2024bViani et al., , 2024a)), disease tracking, and informed public health policies (Yu et al., 2017;Orusa et al., 2020Orusa et al., , 2023aOrusa et al., , 2023a)). Integrating these tools with high-resolution climate models and cloud-based platforms like Google Earth Engine (GEE) (Gorelick et al., 2017) allows for detailed spatial and temporal analyses, facilitating targeted interventions and risk assessments (Conte et al., 2015;Amdouni et al., 2022;Orusa et al., 2022a;Caminade et al., 2023;Arsevska et al., 2024). This Research Topic emphasizes the innovative use of geospatial tools and modeling techniques in Parasitology and One Health.The first contr...