DOI: 10.5061/dryad.7d7wm37wz
title: The relationship between vector species richness and the risk of vector-borne infectious diseases

description: Infectious diseases can impact human welfare and impede wildlife
 management. Much recent research explores whether biodiversity increases
 or decreases infectious disease risk. Here we theoretically study the
 relationship between vector species richness and the risk of vector-borne
 diseases by an epidemiological model of a single host and multiple
 vectors. The model considers that vectors are involved in interspecific
 feeding interference that causes transmission interference and in
 interspecific recruitment competition that mediates susceptible vector
 regulation. The model reveals three possible shapes of the vector
 richness-disease risk relationship: monotonic amplification, hump-shaped,
 and monotonic dilution patterns. Monotonic amplification pattern occurs
 across a wide parameter region. Hump-shaped or monotonic dilution patterns
 are found when transmission interference is strong and recruitment
 competition is weak. Unexpectedly, susceptible vector regulation does not
 only promote dilution but can strengthen amplification if coupled with
 strong transmission interference. Our results suggest that vector richness
 might be more likely to cause amplification rather than dilution, and
 shifts in the community mean trait values of vectors could also affect
 disease risk along the vector richness gradient.
description: Contents<br> -
 vector.richness-disease.risk_R2_fig02.nb<br> -
 vector.richness-disease.risk_R2_fig03.nb<br> -
 vector.richness-disease.risk_R2_fig04.nb<br> -
 vector.richness-disease.risk_R2_data.generation.for.figS01.nb<br> -
 vector.richness-disease.risk_R2_figS01.nb<br> - R0bias2.wl<br>
 - R0bias10.wl<br> - R0bias100.wl
 Description<br> -
 vector.richness-disease.risk_R2_fig02.nb<br> -- Mathematica file to
 draw figure 2.<br> -- Run the whole script. -
 vector.richness-disease.risk_R2_fig03.nb<br> -- Mathematica file to
 draw figure 3.<br> -- Run the whole script. -
 vector.richness-disease.risk_R2_fig04.nb<br> -- Mathematica file to
 draw figure 4.<br> -- Run the whole script. -
 vector.richness-disease.risk_R2_data.generation.for.figS01.nb<br> --
 Mathematica file to generate data for figure S1.<br> -- Run all
 cells from the top to bottom.<br> -- Data files of simulation
 outputs are created in the same local directory as of this code
 file.<br> -- The data files are named as R0bias2.wl, R0bias10.wl,
 R0bias100.wl. -
 vector.richness-disease.risk_R2_figS01.nb<br> -- Mathematica file to
 generate data for figure S1.<br> -- Have the data files generated by
 the code file
 "vector.richness-disease.risk_R2_data.generation.for.figS01.nb."<br> -- Have The data files in the same local directory as of this file.<br> -- Run all cells from the top to bottom. - R0bias2.wl<br> -- Data file generated by "vector.richness-disease.risk_R2_data.generation.for.figS01.nb."<br> -- Contains the data with vector richness = 2. - R0bias10.wl<br> -- Data file generated by "vector.richness-disease.risk_R2_data.generation.for.figS01.nb."<br> -- Contains the data with vector richness = 10. - R0bias100.wl<br> -- Data file generated by "vector.richness-disease.risk_R2_data.generation.for.figS01.nb."<br> -- Contains the data with vector richness = 100.