Pinned Repositories
ArboMAP
Arbovirus Modeling and Prediction to Forecast Mosquito-Borne Disease Outbreaks
bambyfactor
streamlined example of distributed lags in bam and various methods of solution
clusterapply
Apply a function in parallel on data sets that are split by some factor variable
ecograph.github.io
Website for the EcoGRAPH research group
epidemia_gee
A python package which can be used in R to get the required environmental data for EPIDEMIA forecasting. Demo script EPIDEMIA_GEE_python.R in https://github.com/EcoGRAPH/epidemiar-demo/ under the GEE folder
epidemia_reach
Retrieving Environmental Analytics for Climate and Health (REACH)
epidemiar
R package with modeling, forecasting, and early detection & early warning alerts code for EPIDEMIA forecasting reports. The Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) Forecasting System is a set of tools coded in free, open-access software, that integrate surveillance and environmental data to model and create short-term forecasts for environmentally-mediated diseases. For producing formatted reports, see also the demo project based on malaria in Ethiopia (with demo data): https://github.com/EcoGRAPH/epidemiar-demo
epidemiar-demo
Demo R project to be used with package epidemiar for environmentally mediated disease modeling and forecasting, integrating data from epidemiological surveillance & environmental drivers. Demo is for malaria in Amhara region, Ethiopia. Epidemiological data are artificial and should not be used for research or public health. Find epidemiar here: https://github.com/EcoGRAPH/epidemiar
gaffer
Genetic algorithm package
r_workshop_epidemia
Tutorials for an introduction to R and using the EPIDEMIA forecasting system.
EcoGRAPH's Repositories
EcoGRAPH/epidemiar
R package with modeling, forecasting, and early detection & early warning alerts code for EPIDEMIA forecasting reports. The Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessment (EPIDEMIA) Forecasting System is a set of tools coded in free, open-access software, that integrate surveillance and environmental data to model and create short-term forecasts for environmentally-mediated diseases. For producing formatted reports, see also the demo project based on malaria in Ethiopia (with demo data): https://github.com/EcoGRAPH/epidemiar-demo
EcoGRAPH/epidemiar-demo
Demo R project to be used with package epidemiar for environmentally mediated disease modeling and forecasting, integrating data from epidemiological surveillance & environmental drivers. Demo is for malaria in Amhara region, Ethiopia. Epidemiological data are artificial and should not be used for research or public health. Find epidemiar here: https://github.com/EcoGRAPH/epidemiar
EcoGRAPH/ArboMAP
Arbovirus Modeling and Prediction to Forecast Mosquito-Borne Disease Outbreaks
EcoGRAPH/epidemia_reach
Retrieving Environmental Analytics for Climate and Health (REACH)
EcoGRAPH/ecograph.github.io
Website for the EcoGRAPH research group
EcoGRAPH/r_workshop_epidemia
Tutorials for an introduction to R and using the EPIDEMIA forecasting system.
EcoGRAPH/bambyfactor
streamlined example of distributed lags in bam and various methods of solution
EcoGRAPH/clusterapply
Apply a function in parallel on data sets that are split by some factor variable
EcoGRAPH/epidemia_gee
A python package which can be used in R to get the required environmental data for EPIDEMIA forecasting. Demo script EPIDEMIA_GEE_python.R in https://github.com/EcoGRAPH/epidemiar-demo/ under the GEE folder
EcoGRAPH/gaffer
Genetic algorithm package
EcoGRAPH/twst_event_detection_demo
Project with code accompaniment to article in BMC Public Health: "Comparing Malaria Early Detection Methods in a Declining Transmission Setting in Northwestern Ethiopia." Uses synthetic data for demonstration purposes ONLY.
EcoGRAPH/disclim
Functions for ecological modeling of DISease and CLIMate relationships