Antigenic strain diversity predicts different biogeographic patterns of maintenance and decline of antimalarial drug resistance
Creators
- 1. Purdue University
- 2. University of Chicago
Description
Data availability
All the ODE codes, numerically-simulated data, empirical data, and analyzing scripts are publicly available at https://github.itap.purdue.edu/HeLab/MalariaResistance (copy archived at Qixin and Chaillet, 2023).
The following previously published data sets were used:
Infectious Diseases Data Observatory (IDDO) (2015) Infectious Diseases Data Observatory ID act-partner-drug-molecular-surveyor. The ACT Partner Drug Molecular Surveyor. https://www.iddo.org/wwarn/tracking-resistance/act-partner-drug-molecular-surveyor
The Malaria Atlas Project (2023) The Malaria Atlas Project ID https://data.malariaatlas.org/trends?metricGroup=Malaria&metricSubcategory=Pf&metricType=rate&metricName=PR&year=2020&geographicLevel=admin0. Plasmodium falciparum Infection Prevalence. https://data.malariaatlas.org/trends?metricGroup=Malaria&metricSubcategory=Pf&metricType=rate&metricName=PR&year=2020&geographicLevel=admin0
Files
elife-90888-v2.pdf
Files
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Additional details
Identifiers
- DOI
- 10.7554/eLife.90888.3
- Other
- oai:uchicago.tind.io:11271
Related works
- Cites
- https://doi.org/10.1101/2023.03.06.531320 (URL)
Funding
- Fogarty International Center
- R01-AI149779