R Package for Analyzing John Snow's 1854 Cholera Map
An easy-to-use program to assign O1 Vibrio cholerae genomes to canonical lineages using phylogenetic placement.
Cholera risk modeling using essential climate variables and machine learning
Georeferenced data from John Snow's iconic 1854 cholera map, including spatial files for cholera case locations, water pump locations, and the georeferenced base map. Ideal for historical analysis, visualisation, and spatial epidemiology studies.
Exploratory spatial analysis and visualization of cholera case clusters in Gedeo Zone, Ethiopia that integrates demographic and geographic data to identify environmental risk patterns and inform public health interventions. Includes geospatial mapping of cholera incidence relative to waterways and administrative boundaries.
A streamlit web application to do Cholera Prediction
EFFECT OF CLEAN WATER AND SANITATION IN DISEASES CONTROL IN AFRICA: SDG GOAL 6: CLEAN WATER & SANITATION
Data and code used to clean data on cholera from who website
Predictive modeling of cholera severity in the Gedeo Zone, Ethiopia, using epidemiological and clinical data. This notebook applies machine learning techniques, including feature engineering, Bayesian hyperparameter optimization, and classification with XGBoost and Random Forest.
Subnational Cholera Analysis in Yemen
Wabah Kolera
A machine learning-based predictor of cholera cases and fatalities in Yemen
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