Geolocation emerges as an important tool in the surveillance and control of vector-borne diseases such as dengue, chikungunya, Zika, and urban yellow fever. In contrast to manual control methods, which are slow and prone to errors, geolocation can be utilized. This work incorporates the use of geolocation in a project that develops a technological solution for entomological surveillance and vector control of arboviruses, aiming to develop a computational system for registering this information. The main objectives of this work include the development and user validation of the geolocation data collection functionality during the registration of infestation sites, and the integration of relevant application features, such as the geographic registration of city blocks. Throughout the execution of the work, user-centered evaluations were carried out, involving agents from the State Health Department. This work contributes to accurately identifying arbovirus infestation points through geolocation, adding precision to the agent's geographic validation, and providing visual aid in route creation.

Arboviruses such as dengue, Zika, and chikungunya remain a serious public health challenge in Brazil and other Latin American countries. Effective surveillance and vector control require integrated information systems to support planning and monitoring efforts. This study presents a heuristic evaluation of a web-based system developed for arbovirus control coordinators in Brazil, aiming to identify interface limitations and propose improvements based on user experience. The Design Science Research Methodology (DSRM) guided the study, and a structured questionnaire grounded in Nielsen’s Heuristics was applied. A total of 72 undergraduate students from technology-related programs participated in the evaluation. Each participant performed guided tasks within the system and provided feedback through both closed and open-ended questions. Results indicated positive perceptions regarding interface consistency and organization, while usability issues were identified in areas such as error prevention, flexibility, and feedback mechanisms. Statistical analysis revealed differences among participant groups, highlighting the influence of user profiles on perceived usability. The findings underscore the value of heuristic evaluation in improving public health digital tools and demonstrate the potential for adapting such systems to similar regional contexts across Latin America.