This repository contains the code used for the publication titled "Synthesizing environmental, epidemiological and vector and parasite genetic data to assist decision making for disease elimination.". The research focuses on integrating diverse datasets to aid decision-making processes in onchocerciasis elimination efforts, a vector-borne disease.
In this work, we present methodologies and algorithms for integrating environmental, epidemiological, and genetic data related to vector-borne diseases. The code in this repository accompanies the publication and includes scripts and notebooks for data preprocessing, analysis, and visualization.
If you use the code or data from this repository in your work, please cite the publication:
Shrestha, H., McCulloch, K., Chisholm, R. H., Armoo, S. K., Veriegh, F., Sirwani, N., Crawford, K. E., Osei-Atweneboana, M. Y., Grant, W. N., & Hedtke, S. M. (2024). Synthesizing environmental, epidemiological and vector and parasite genetic data to assist decision making for disease elimination. Molecular Ecology, 33, e17357. https://doi.org/10.1111/mec.17357