Hyper-diverse antigenic variation and resilience to transmission-reducing intervention in falciparum malaria
- 1. University of Chicago
- 2. Purdue University
- 3. University of Melbourne
- 4. New York University
Description
Data availability
The sequences utilized in this study are publicly available in GenBank under BioProject Number: PRJNA396962. Requests for the data on individual age classes corresponding to P. falciparum isolates should be made by contacting the Malaria Reservoir Study Team represented by Prof. Karen Day (Response timeframe: ~1 month), in order to discuss how these data will be utilized for academic or research purposes and, if appropriate, to identify opportunities for collaboration. The individual age data are not publicly available due to ethical reasons. All additional information associated with this study, on the output of numerical simulations and parameters of the agent-based model, is available in the main text and supplementary information.
For information on the simulation code and analysis scripts, please see the GitHub repository at: https://github.com/qzhan321/Intervention, digital resource identifier: https://doi.org/10.5281/zenodo.12775297, Zhan. R version 4.0.3 was utilized for all analyses. The base R, along with the R packages RSQLite, dplyr, tidyverse, and stringr were used.
Files
Hyper-diverse-antigenic-variation-and-resilience-to-transmission-reducing-intervention-in-falciparum-malaria.pdf
Additional details
Identifiers
- DOI
- 10.1038/s41467-024-51468-6
- Other
- oai:uchicago.tind.io:13297
Funding
- Fogarty International Center, National Institutes of Health
- joint NIH-NSF-NIFA Ecology and Evolution of Infectious Diseases award
- National Institute of Allergy and Infectious Diseases
- joint NIH-NSF-NIFA Ecology and Evolution of Infectious Diseases award