Scaling Relationships

Studying Malaria Metrics Across the Spectrum of Transmission Intensity

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This vignette is an overview of scaling relationships for SimBA users. Two closely related vignettes are:

• ramp.work:: Scaling – package documentation & a basic demo

• Malaria Theory:: Scaling – a discussion of malaria scaling relationships using models and data.

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Load the required packages:

library(MASS)
library(ramp.xds)
library(ramp.library)
library(ramp.control)
library(ramp.work)
library(deSolve)
library(rootSolve)
library(graphics)

A core need in malaria epidemiology is to understand the relationship between the PfPR and other metrics, including measures of burden. To address this need, ramp.work developed a function, called xds_scaling, that computes scaling relationships for models of malaria epidemiology.

xds_scaling

The function xds_scaling() defines the relationship between the EIR and the PR, and it outputs stable orbits for each value of aEIR in a mesh from \(10^{-1}\) up to \(10^{3}\)

xds_setup_eir(Xname = "SIS") -> sis

xds_scaling(sis, 25) -> sis

xds_plot_eirpr(sis)