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Climate-Driven Health Risk Alert Dashboard
Subject area: Science,Engineering and Technology · Area of research: Climate and Health Informatics
Abstract
Climate change boosts extreme weather, at the same time speeding up disease spread?dengue?s hitting harder, messing with public well-being. A fresh tool maps climate-driven health risks in select Indian urban areas, spotlighting dengue and heat stress using visual dashboards. Rather than real-time streams, it works from saved CSVs holding temperature, moisture, and sickness records, giving users click-through access to nearby hazards along with an example layout marking high-risk districts. For now, views are static snapshots, yet forecast threat levels nearly 14 days out; future tweaks may grab updated stats from web APIs and apply learning models to refresh alerts without manual input. This initiative starts building responsive warning setups so authorities can move quickly based on reliable insights nationwide.
Keywords
Climate Change, Health Risk, Dashboard, Dengue, Heat Stress, Early Warning System
References
[1] Climate Change & Vector‑Borne Disease Prediction
[2] Shifts in weather tied to forecasts of malaria
[3] Noticing illness dangers sooner if the climate changes
[4] Machines that predict illness patterns
[5] Vulnerability review together with risks to climate well being
[6] P. Kovats, S. Lloyd, and S. Hales, “Observed and projected impacts of climate change on human health,” The Lancet, vol. 367, no. 9513, pp. 1453–1459, 2006.
[7] S. Singh, S. Dhiman, and P. Sabesan, “Climate change and vector-borne diseases in India: Implications for public health preparedness,” Environmental Research Letters, vol. 13, no. 4, pp. 1–12, 2018.
[8] A. Dasgupta, M. Bhatia, and R. Roy, “Developing climate-informed public health early warning systems for India,” International Journal of Environmental Research and Public Health, vol. 17, no. 24, pp. 1–15, 2020.
[9] World Health Organization, Climate Services for Health: Improving Public Health Decision-Making in a Changing Climate, Geneva: WHO and WMO, 2016.
[10] R. Lowe, C. Stewart-Ibarra, and X. Petrova, “Climate services for health: Predicting infectious disease outbreaks from climate data,” PLOS Medicine, vol. 13, no. 10, e1002175, 2016.
How to cite this paper
@article{1713054,
author = {Rahul Kumar Singh, Sakshi Sharma, Abhinandan},
title = {Climate-Driven Health Risk Alert Dashboard},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {6},
pages = {1653-1659},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713054.pdf},
abstract = {Climate change boosts extreme weather, at the same time speeding up disease spread?dengue?s hitting harder, messing with public well-being. A fresh tool maps climate-driven health risks in select Indian urban areas, spotlighting dengue and heat stress using visual dashboards. Rather than real-time streams, it works from saved CSVs holding temperature, moisture, and sickness records, giving users click-through access to nearby hazards along with an example layout marking high-risk districts. For now, views are static snapshots, yet forecast threat levels nearly 14 days out; future tweaks may grab updated stats from web APIs and apply learning models to refresh alerts without manual input. This initiative starts building responsive warning setups so authorities can move quickly based on reliable insights nationwide.},
keywords = {Climate Change, Health Risk, Dashboard, Dengue, Heat Stress, Early Warning System},
month = {December},
doi = {https://doi.org/10.64388/IREV9I6-1713054}
}