Assessing the Impact of the Wolbachia-based Control of Malaria

This repository contains the code and data associated with the paper:
"Assessing the impact of the Wolbachia-based control of malaria"
Published in Mathematical Biosciences (2025)
📄 DOI: 10.1016/j.mbs.2025.109466

Overview

This work presents a mathematical modeling framework to assess the potential of Wolbachia-based interventions in reducing malaria transmission. The model captures both mosquito population dynamics and malaria transmission processes, with simulation studies informed by biologically relevant parameters.

The repository includes code to reproduce all key simulation results and figures presented in the paper.

Repository Contents

• set_workspace.m — Run this first to set the working directory paths correctly.
• Run_*.m — Scripts prefixed with Run_ reproduce the figures and results from the paper.
• Results/ — Output folder where all figures and data files will be saved.
• Additional scripts and functions used by the Run_ scripts.

Requirements

• All codes are developed in MATLAB 2023a/2023b

Citation

If you use this code or build upon it, please cite:

Zhuolin Qu, Lauren Childs. Code repository for "Assessing the impact of the Wolbachia-based control of malaria".
GitHub. https://github.com/zhuolinqu/Wolbachia_malaria_AWM/

You are free to use, modify, and distribute this work, provided you include proper attribution. Please cite both the paper and this repository if you use the code in your own research or publications.

Contact

For questions, feedback, or collaboration opportunities, feel free to contact: Zhuolin Qu 📧 zhuolin.qu@utsa.edu