sbm-class: Class '"sbm"'

In swash: Swash-Backwash Model for the Single Epidemic Wave

Class "sbm"

Description

The class "sbm" contains the results of the Swash-Backwash Model and the related input data as well as additional information. Use summary(sbm) and plot(sbm) for results summary and plotting, respectively.

Objects from the Class

Objects can be created by the function swash.

Slots

R_0A:

Object of class "numeric" Model result: spatial reproduction number R_{0A}

integrals:

Object of class "numeric" Model result: integrals S_A, I_A, and R_A

velocity:

Object of class "numeric" Model result: velocity measures t_{FE} and t_{LE}

occ_regions:

Object of class "data.frame" Model result: Occurence at regional level

SIR_regions:

Object of class "data.frame" Model result: Susceptible, infected and recovered regions over time

cases_by_date:

Object of class "data.frame" Total cases by date

cases_by_region:

Object of class "data.frame" Cumulative cases by region

input_data:

Object of class "data.frame" Input data

data_statistics:

Object of class "numeric" Diagnostics of input data

col_names:

Object of class "character" Original column names in input data

Methods

confint

signature(object = "sbm"): Creates bootstrap confidence intervals for sbm objects.

plot

signature(x = "sbm"): Plots the results of the Swash-Backwash Model; two plots: edges over time, total infections per time unit

print

signature(x = "sbm"): Prints an sbm object; use summary(sbm) for results

show

signature(object = "sbm"): Prints an sbm object; use summary(sbm) for results

summary

signature(object = "sbm"): Prints a summary of sbm objects (results of the Swash-Backwash Model)

Author(s)

Thomas Wieland

References

Cliff AD, Haggett P (2006) A swash-backwash model of the single epidemic wave. Journal of Geographical Systems 8(3), 227-252. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1007/s10109-006-0027-8")}

Smallman-Raynor MR, Cliff AD, Stickler PJ (2022) Meningococcal Meningitis and Coal Mining in Provincial England: Geographical Perspectives on a Major Epidemic, 1929–33. Geographical Analysis 54, 197–216. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1111/gean.12272")}

Smallman-Raynor MR, Cliff AD, The COVID-19 Genomics UK (COG-UK) Consortium (2022) Spatial growth rate of emerging SARS-CoV-2 lineages in England, September 2020–December 2021. Epidemiology and Infection 150, e145. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1017/S0950268822001285")}.

Examples

showClass("sbm")

swash documentation built on April 12, 2025, 2:23 a.m.