Provides a framework based on S3 dispatch for constructing models of mosquito-borne pathogen transmission which are constructed from submodels of various components (i.e. immature and adult mosquitoes, human populations). A consistent mathematical expression for the distribution of bites on hosts means that different models (stochastic, deterministic, etc.) can be coherently incorporated and updated over a discrete time step.
|Suggests:||knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2, data.table, callr, httr, readr, withr, plumber|
|Author:||Sean L. Wu [aut, cre], David L. Smith [aut], Sophie Libkind [ctb]|
|Maintainer:||Sean L. Wu <slwood89 at gmail.com>|
|License:||MIT + file LICENSE|
|CRAN checks:||MicroMoB results|
Beverton-Holt aquatic model
Simple behavioral state mosquito model
Queueing model for human superinfection
Micro-MoB (Microsimulation for mosquito-borne pathogens)
Ross-Macdonald mosquito model
Ross-Macdonald transmission model
|Windows binaries:||r-devel: MicroMoB_0.1.2.zip, r-release: MicroMoB_0.1.2.zip, r-oldrel: MicroMoB_0.1.2.zip|
|macOS binaries:||r-release (arm64): MicroMoB_0.1.2.tgz, r-oldrel (arm64): MicroMoB_0.1.2.tgz, r-release (x86_64): MicroMoB_0.1.2.tgz, r-oldrel (x86_64): MicroMoB_0.1.2.tgz|
|Old sources:||MicroMoB archive|
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