A Unified Mechanistic Model for the Population Dynamics of Invasive Aedes Mosquitoes

Generalised model for population dynamics of invasive Aedes mosquitoes. Rationale and model structure are described here: Da Re et al. (2021) and Da Re et al. (2022) .


dynamAedes

CRANstatus

Overview

dynamAedes is a stochastic, time-discrete and spatially-explicit population dynamical model for four invasive Aedes mosquito species: Aedes aegypti, Ae. albopictus, Ae. japonicus and Ae. koreicus.

The model is driven by temperature, photoperiod and intra-specific larval competition and can be applied to three different "spatial scales": punctual, local and regional. These modes consider different degrees of spatial complexity and data availability, for example by accounting for active and passive dispersal of mosquitoes or for specific input temperature data (weather station vs. gridded remotely-sensed temperature data).

The main features of dynamAedes are:

  • It allows to simulate the active and passive dispersal of adult mosquitoes (when scale="local").

  • It's a stochastic model, thus the distribution of its output metrics (e.g., number of adults) integrates "random" variation and can thus differ slightly between different model runs.

  • It provides four functions (psi, adci, dici and icci) to easily derive summary metrics (i.g., based on user-defines quantiles) on the space-time trend of the simulated population dynamics, e.g., the 95% CI of the population dispersal in a given period or the number of cells colonised.

Installation

# Install the released version from CRAN
install.packages("dynamAedes")
# Or the development version from GitHub:
# install.packages("devtools")
devtools::install_github("mattmar/dynamAedes")

Reference manual

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install.packages("dynamAedes")

2.2.9 by Matteo Marcantonio, 3 years ago


https://mattmar.github.io/dynamAedes/


Report a bug at https://github.com/mattmar/dynamAedes


Browse source code at https://github.com/cran/dynamAedes


Authors: Matteo Marcantonio [aut, cre] , Daniele Da Re [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports abind, doParallel, drc, foreach, geosphere, methods, parallel, terra

Suggests rmarkdown, knitr, eesim, gstat, stats, ggplot2, dplyr, lubridate, stringr


See at CRAN