Package: epiflows 0.2.1

Pawel Piatkowski

epiflows: 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) <doi:10.2807/1560-7917.ES.2017.22.28.30572>. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

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

epiflows_0.2.1.tar.gz
epiflows_0.2.1.zip(r-4.5)epiflows_0.2.1.zip(r-4.4)epiflows_0.2.1.zip(r-4.3)
epiflows_0.2.1.tgz(r-4.4-any)epiflows_0.2.1.tgz(r-4.3-any)
epiflows_0.2.1.tar.gz(r-4.5-noble)epiflows_0.2.1.tar.gz(r-4.4-noble)
epiflows_0.2.1.tgz(r-4.4-emscripten)epiflows_0.2.1.tgz(r-4.3-emscripten)
epiflows.pdf |epiflows.html
epiflows/json (API)
NEWS

# Install 'epiflows' in R:
install.packages('epiflows', repos = c('https://reconhub.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/reconhub/epiflows/issues

Datasets:
  • Brazil_epiflows - Yellow Fever Data from Brazil; 2016-12 to 2017-05
  • YF_Brazil - Yellow Fever Data from Brazil; 2016-12 to 2017-05
  • YF_coordinates - Yellow Fever Data from Brazil; 2016-12 to 2017-05
  • YF_flows - Yellow Fever Data from Brazil; 2016-12 to 2017-05
  • YF_locations - Yellow Fever Data from Brazil; 2016-12 to 2017-05

On CRAN:

outbreak

17 exports 18 stars 2.28 score 81 dependencies 1 mentions 20 scripts 351 downloads

Last updated 12 months agofrom:2fdb4d22d8. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winNOTESep 14 2024
R-4.5-linuxNOTESep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:add_coordinatesas.SpatialLinesDataFrameestimate_risk_spreadget_coordinatesget_flowsget_idget_locationsget_nget_pop_sizeget_varsglobal_varsgrid_epiflowsmake_epiflowsmap_epiflowsset_varsset_vars<-vis_epiflows

Dependencies:askpassbase64encbitopsbslibcachemclicolorspacecpp11crosstalkcurldigestdplyrepicontactsevaluatefansifarverfastmapfontawesomefsgenericsgeosphereggmapggplot2gluegtablehighrhtmltoolshtmlwidgetshttrigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelazyevalleafletleaflet.providerslifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplyrpngpurrrR6rappdirsrasterRColorBrewerRcpprlangrmarkdownsassscalesspstringistringrsysterrathreejstibbletidyrtidyselecttinytexutf8vctrsviridisLitevisNetworkwithrxfunyaml

00 epiflows: package overview

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2018-08-14
Started: 2017-09-02

01 Data Preparation

Rendered fromepiflows-class.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2018-08-02
Started: 2018-07-30

Readme and manuals

Help Manual

Help pageTopics
Subset `epiflows` objects[.epiflows
Add/Retrieve location coordinatesadd_coordinates get_coordinates get_coordinates.epiflows
Convert to SpatialLinesDataFrame classas.SpatialLinesDataFrame as.SpatialLinesDataFrame.epiflows
epiflowsepiflows
Travel-related disease cases spreaded to other locations from an infectious locationestimate_risk_spread estimate_risk_spread.default estimate_risk_spread.epiflows
Access flow dataget_flows get_flows.epiflows
Access population identifiers in epiflows objectsget_id
Access flow dataget_locations get_locations.epiflows
get the number of cases per flowget_n get_n.epiflows
Get population size for each entry in locationsget_pop_size get_pop_size.epiflows
Access location metadataget_vars get_vars.epiflows set_vars set_vars.epiflows set_vars<- set_vars<-.epiflows
Epiflow Global Variablesepiflows.vars global_vars
Visualise epidemic flows using a gridgrid_epiflows
Create an epiflows objectmake_epiflows make_epiflows.data.frame make_epiflows.integer make_epiflows.numeric
Map flows of people between locationsmap_epiflows
Various plots for epiflows objectsplot.epiflows
Print method from epiflows objectsprint.epiflows
Visualise epidemic flows using visNetworkvis_epiflows
Yellow Fever Data from Brazil; 2016-12 to 2017-05Brazil_epiflows YF_Brazil YF_coordinates YF_flows YF_locations