epiflows.md

name	doi	title-paper	software-package	parameters	example-papers	keywords	software-only	date	data-source	links
epiflows	10.2807/1560-7917.ES.2017.22.28.30572	International risk of yellow fever spread from the ongoing outbreak in Brazil, December 2016 to May 2017	R epiflows https://github.com/reconhub/epiflows/			prediction visualization flows diffusion exportations importations	false	2022-08-05	Guidance for health professionals on wild yellow fever (Brazil) http://portalsaude.saude.gov.br/index.php/o-ministerio/principal/leia-mais-o-ministerio/619-secretaria-svs/l1-svs/27300-febre-amarela-informacao-e-orientacao Monitoring of the cases and deaths due to yellow fever in Brazil, update n. 43/2017 http://portalarquivos.saude.gov.br/images/pdf/2017/junho/02/COES-FEBRE-AMARELA---INFORME-43---Atualiza----o-em-31maio2017.pdf	https://cran.r-project.org/package=epiflows

epiflows is a package for predicting and visualising spread of infectious diseases based on flows between geographical locations, e.g., countries. epiflows provides functions for calculating spread estimates, handling flow data, and visualization.