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epiflows (version 0.2.2)

Predicting Disease Spread from Flow Data

Description

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 () toolkit for outbreak analysis.

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Install

install.packages('epiflows')

Monthly Downloads

92

Version

0.2.2

License

MIT + file LICENSE

Issues

3

Pull Requests

4

Stars

19

Forks

13

Maintainer

Pawel Piatkowski

Last Published

February 20th, 2026

Functions in epiflows (0.2.2)

grid_epiflows

Visualise epidemic flows using a grid
[.epiflows

Subset `epiflows` objects
global_vars

Epiflow Global Variables
get_vars

Access location metadata
map_epiflows

Map flows of people between locations
plot.epiflows

Various plots for epiflows objects
print.epiflows

Print method from epiflows objects
make_epiflows

Create an epiflows object
vis_epiflows

Visualise epidemic flows using visNetwork
get_flows

Access flow data
get_n

get the number of cases per flow
get_pop_size

Get population size for each entry in locations
YF_Brazil

Yellow Fever Data from Brazil; 2016-12 to 2017-05
get_id

Access population identifiers in epiflows objects
epiflows

epiflows
add_coordinates

Add/Retrieve location coordinates
estimate_risk_spread

Travel-related disease cases spreaded to other locations from an infectious location
get_locations

Access flow data
as.SpatialLinesDataFrame

Convert to SpatialLinesDataFrame class