Resources for covid-19 virus
These are the resources I collected so far.
Nature's paper https://www.nature.com/articles/s41467-017-02064-4
Mathematics modelling : https://medium.com/intel-student-ambassadors/prediction-of-epidemic-disease-dynamics-using-machine-learning-22cf3b7129f3
https://blog.ephorie.de/epidemiology-how-contagious-is-novel-coronavirus-2019-ncov
Datasets and dashboards: https://nextstrain.org/ncov
https://ij-healthgeographics.biomedcentral.com/articles/10.1186/s12942-020-00202-8
Kaggle and GitHub datasets: https://www.kaggle.com/datasets?search=covid-19
https://data.gov.in/search/site?query=epidemic&field_search=&item=10
https://github.com/heremaps/here-covid-19-tracker
https://developer.here.com/coronavirus/
https://github.com/CSSEGISandData/COVID-19
https://www.tableau.com/covid-19-coronavirus-data-resources
https://www.dolthub.com/repositories/Liquidata/corona-virus
https://github.com/mattroconnor/deep_learning_coronavirus_cure
Apps: https://github.com/JohnCoene/coronavirus
https://shiny.john-coene.com/coronavirus/
Other online resources: https://github.com/soroushchehresa/awesome-coronavirus#statistics-and-data
Wikipedia:
https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology#The_SIR_model
https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology