T Mapping, building analysis and image processing in the detection and control of Dengue: A systematic review from 2015 to 2025

Introduction: In recent years, the detection and control of dengue have become more relevant due to the increase in its incidence in tropical and subtropical regions. This study aimed to systematically analyze the use of advanced technologies, such as geospatial mapping, building analysis, and image processing, in the detection and control of dengue between 2015 and 2025. Methods: Following the PRISM methodology, 148 documents are selected through relevant searches in scientific databases such as Scopus and IEEE Xplore, applying thematic and quality filters. Results: The results highlight that the United States and Brazil lead research in this field while Latin America, with countries such as Colombia and Mexico, shows a lower representation. In terms of thematic areas, 75% of the studies reviewed correspond to scientific articles, highlighting the academic importance of the topic, while 19.5% come from Environmental Sciences, evidencing the role of sustainability in the fight against dengue. Discussion: Significant role in evaluating climate data, vegetation indices, and machine learning-based techniques to anticipate the risk of contracting dengue.