Predicting Disease Spread from Flow Data

Provides functions and classes designed to handle and visualise epidemiological flows between locations. Also contains a statistical method for predicting disease spread from flow data initially described in Dorigatti et al. (2017) . This package is part of the RECON (< https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.


Reference manual

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install.packages("epiflows")

0.2.2 by Pawel Piatkowski, 8 months ago


https://www.repidemicsconsortium.org/epiflows/, https://github.com/reconhub/epiflows


Report a bug at https://github.com/reconhub/epiflows/issues


Browse source code at https://github.com/cran/epiflows


Authors: Pawel Piatkowski [aut, cre] (ORCID: , Paula Moraga [aut] , Isobel Blake [ctb, dtc] , Thibaut Jombart [aut] , VP Nagraj [aut] , Zhian N. Kamvar [aut] , Salla E. Toikkanen [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports epicontacts, leaflet, ggmap, geosphere, ggplot2, tibble, sp, stats, htmltools, visNetwork

Suggests testthat, roxygen2, knitr, outbreaks, vdiffr, curl, rmarkdown


See at CRAN