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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
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
Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖
Tutorials for an introduction to R and using the EPIDEMIA forecasting system.
Un foglio Jupyter con alcuni modelli di diffusione delle epidemie
Apply a function in parallel on data sets that are split by some factor variable
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
This python package used in R-STUDIO to get required environmental data.