Changes in capture availability due to infection can lead to correctable biases in population-level infectious disease parameters
- 1. Cornell Institute of Host Microbe Interactions and Disease, 2. Department of Microbiology, Cornell University
- 2. Department of Biological Sciences, Florida Gulf Coast University
- 3. Center for Advanced Computing & Laboratory of Atomic and Solid State Physics, Cornell University
- 4. Department of Microbiology, Cornell University
Description
Code for simulations, statistics, and figures associated with the linked paper, as well as the output of 200 simulations for each parameter combination used in the paper. Simulation files with 'repro_mat' report simulations focused on reproductive success, those with 'RR' report relative risk of different genotypes, and 'allele_change' report those focused on changes in allele frequency between generations. 'het' in the name indicates that the heterozygote genotype is resistant to infection, while 'allele' indicates that a specific allele is most resistant. 'over' indicates runs in which infected individuals are more likely to be captured, 'under' runs in which they are less likely.
Files
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