BSR-Based Allele Calling Algorithm
Epidemiological surveillance in Python
cg/wgMLST allele calling software, schema evaluation and allele distance estimation for outbreak reserch.
In this repo. , "Cost Effective Lazy Forward Selection" Algorithm is implemented from scratch in python with only numpy library.
metagenomics pipeline supporting The UnO Project for identifying pathogens in common across outbreak samples
A Disease Outbreak Assistance system using machine learning and Artifitial Intelligence
In this training course you will find theory and practice material for introducing yourself to wgs analysis for bacterial, including outbreak investigation.
Multi-source public health intelligence system for epidemiological surveillance and early warning
Implementation of Complex Networks Algorithms
AI-powered district health command centre for Kalahandi, Odisha. PHC staff report by voice note or register photo → Gemini parses it → outbreak early-warning, medicine stock forecasting, expiry-waste redistribution on Google Maps. Built for Build with AI: Code for Communities (Track 3: Smart Health).
AI-powered, offline-first healthcare surveillance for the Chittagong Hill Tracts: DBSCAN outbreak detection, multi-modal medical logistics, and on-device (Ollama gemma3:4b) + Gemini AI consultation. React + FastAPI.
HealthWatch is a mobile-first network that enables early outbreak detection by verifying local health observations in real time, transforming community data into actionable public health intelligence.
R scripts used in M Cavallaro, L Dyson, MJ Tildesly, D Todkill & MJ Keeling (2023) Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern. J. R. Soc. Interface. 20: 20230410. 20230410.
Open-source disease surveillance, early warning, and response platform for Bangladesh, targeting DHIS2 and a customized dashboard.
Malaria surveillance analytics platform with district-level monitoring, outbreak detection, and automated reporting
Tanzania public-health early-warning data warehouse: Google Trends + WHO/MoH + public discussion into a Kimball star schema, with outbreak anomaly detection, lead-lag correlation and a Streamlit dashboard. Python + PostgreSQL, runs offline with no API keys.
Reproducible change-point analysis of outbreak response timing, 2018–2020 DRC Ebola outbreak
Outbreak Detection Code (python and pyspark)
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