MapMed: A Study on Mapbox Tools and API Integration for Locating Nearby Health Facilities
This study delves into the Health Facility Locator web application, which leverages state-of-the-art geolocation technology to efficiently link users with nearby healthcare facilities. Motivated by the escalating demand for prompt medical attention and the challenges individuals face in identifying nearby healthcare facilities during emergencies, the project strives to bridge the gap between people and medical services across diverse urban and rural landscapes. By embracing dynamic innovation, the platform tackles the urgent challenge of enhancing healthcare accessibility, with a focus on reducing response time in case of emergencies and bolstering the well- being of the community. Through its customizable features and user-friendly interface, the app serves as a crucial tool in facilitating timely and informed healthcare decisions, ultimately contributing to improved health outcomes and greater resilience within communities. This study explores creation of maps utilizing open-source platforms like Mapbox, Leaflet, OSM, etc. it also uses JavaScript for interactivity, CartoCSS for map design, HTML for layer integration, react framework for responsiveness and sleek design, and data in the format of a Geojson file. Its seamless integration of technology and healthcare services marks a significant step towards addressing the complex demands of modern healthcare systems, fostering a more responsive and inclusive approach to healthcare provision.
Authors
- V. K. Singh (ORCID: https://orcid.org/0000-0002-6034-0563)
- S Saravanan
- Arun Iyengar (ORCID: https://orcid.org/0000-0003-4679-1920)
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/icstsdg61998.2024.11026471
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00