DydoMaxaieie/seir-mozambique-optimal-control

R implementation of a metapopulation SEIR-V model for COVID-19 in Mozambique # SEIR Mozambique Optimal Control R implementation of a metapopulation SEIR-V epidemiological model for COVID-19 in Mozambique with optimal control of vaccination and social distancing. ## Description This repository contains the R code for the Master's dissertation: > Maxaieie, D. R. J. (2026). > *Modelação Matemático-Epidemiológica > da COVID-19 em Moçambique: Um Modelo > SEIR Multirregional e Etário com > Controlo Óptimo*. > Universidade Eduardo Mondlane, > Maputo, Moçambique. ## Repository Structure ``` R/ ├── cap3/ │ ├── figuras_escalar.R │ ├── calibracao_seir.R │ └── figuras_seir.R └── cap5/ ├── seir_meta.R ├── figuras_meta.R ├── mapa_corredor_n1.R └── sensibilidade_R0.R dados/ ├── covid_moz_Q1_2021.csv └── n1_real.gpkg ``` ## Requirements R >= 4.0 and the following packages: ```r install.packages(c( "ggplot2", "dplyr", "tidyr", "scales", "patchwork", "sf", "rnaturalearth", "ggrepel", "ggspatial", "cowplot", "httr", "jsonlite" )) ``` ## Reproduction Run scripts in this order: 1. `R/cap5/seir_meta.R` — calibration and simulation (~15 min) 2. `R/cap5/figuras_meta.R` — figures (~8 min) 3. `R/cap5/mapa_corredor_n1.R` — map (~3 min) 4. `R/cap5/sensibilidade_R0.R` — sensitivity analysis (~2 min) ## License MIT License — see `LICENSE` file. ## Author Dário Rogério Júlio Maxaieie Universidade Eduardo Mondlane Maputo, Moçambique