STAR (Scrub Typhus Awareness & Risk Prediction) bridges the gap between technology and public health to save lives in vulnerable regions.
The risk forecasting model integrates epidemiological and climatic data with ahead satellite- derived climate forecasts to predict scrub typhus risk. By capturing climate–disease lag relationships and seasonal patterns, the model generates weekly risk estimates, enabling proactive public health interventions and real-time community alerts via a mobile-based chatbot.
Our platform empowers communities, healthcare workers, and individuals with accurate insights to reduce the spread. By combining **Machine Learning** with **Climate Data**, we predict outbreaks before they happen.
Try Prediction ModelCaused by the bacteria Orientia tsutsugamushi, Scrub Typhus correlates heavily with environmental factors like humidity and vegetation growth.
STAR analyzes these patterns to generate real-time risk scores for your specific location.
A comprehensive suite of tools for disease monitoring.
Interactive maps visualizing active case clusters to help you avoid high-risk zones.
AI-driven symptom checker to evaluate your risk based on clinical protocols.
Forecasting potential outbreaks using historical data and real-time weather metrics.
Instant routing to the nearest hospitals equipped with diagnostic facilities.