Package Description

epiflows

epiflows

Statistical procedures

Estimate travel-related disease spread

estimate_risk_spread()

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

Epiflows class

Constructors and options for the epiflows data class

make_epiflows()

Create an epiflows object

global_vars()

Epiflow Global Variables

get_vars() set_vars() `set_vars<-`()

Access location metadata

add_coordinates() get_coordinates()

Add/Retrieve location coordinates

Accessors/Converters

Accessors for elements within the epiflows data class

get_flows()

Access flow data

get_id()

Access population identifiers in epiflows objects

get_locations()

Access flow data

get_n()

get the number of cases per flow

get_pop_size()

Get population size for each entry in locations

as.SpatialLinesDataFrame()

Convert to SpatialLinesDataFrame class

`[`(<epiflows>)

Subset `epiflows` objects

print(<epiflows>)

Print method from epiflows objects

Visualization

plot(<epiflows>)

Various plots for epiflows objects

grid_epiflows()

Visualise epidemic flows using a grid

map_epiflows()

Map flows of people between locations

vis_epiflows()

Visualise epidemic flows using visNetwork

Data Sets

Brazil_epiflows YF_coordinates YF_locations YF_flows YF_Brazil

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