Data from: Host resistance, population structure and the long-term persistence of bubonic plague: contributions of a modelling approach in the Malagasy focus

• Main Authors: Gascuel, Fanny, Choisy, Marc, Duplantier, Jean-Marc, Débarre, Florence, Brouat, Carine
• Other Authors: Federated Research Data Repository, Dépôt fédéré de données de recherche
• Format: Dataset
• Language: unknown
• Published: Scholars Portal Dataverse 2013
• Subjects: Life sciences; medicine and health care; Xenopsylla cheopis; Host resistance; Synopsyllus fonquerniei; metapopulation structure; disease persistence; Rattus rattus; plague; Madagascar; Other; envir; socio
• Online Access: https://doi.org/10.5683/sp2/iiguuy; https://doi.org/10.5061/dryad.55t60; https://doi.org/10.14288/1.0397737

Dryad version number: 1 Version status: submitted Dryad curation status: Published Sharing link: https://datadryad.org/stash/share/OBN1oHDEGemSuqSe2o-wQ5gm9NYjmLmbmMeENHFcU38 Storage size: 53795 Visibility: public Usage notes Figure1 R script computing and plotting the equilibrium states for a susceptible population, according to the rat's maximal birth rate, r, and the transmission rate, beta. (a) K = 25,000 rats, (b) K = 1,000 rats. figure1.r Figure 1 - system dynamics System dynamics (in C language) used in figure1.r (system (S1.1) in the supporting text S1 of the article). si_fig1.c Figure 2 R script computing and plotting the equilibrium states for a rat population including resistant rats, according to the maximal birth rate of rats, r, and the transmission rate, beta. K = 25,000 rats. figure2.r Figure 2 - system dynamics System dynamics (in C language) used in figure2.r (system (1) in the main text of the article). sir_fig2.c Figure 3 R script computing the equilibrium states for a susceptible host metapopulation composed of (a) 2 subpopulations, (b) 4 subpopulations and (c) 25 subpopulations (deterministic analysis). Total carrying capacity = 25,000 rats. figure3.r Figure 3 (a) - system dynamics with 2 subpopulations System dynamics (in C language) used in figure3.r to compute the equilibrium states of a host structured susceptible population composed of 2 subpopulations. sir2P_fig3a.c Figure 3 (b) - system dynamics with 4 subpopulations System dynamics (in C language) used in figure3.r to compute the equilibrium states of a host structured susceptible population composed of 4 subpopulations. sir4P_fig3b.c Figure 3 (c) - system dynamics with 25 subpopulations System dynamics (in C language) used in figure3.r to compute the equilibrium states of a host structured susceptible population composed of 25 subpopulations. sir25P_fig3c.c Figure 4 (a) R script computing and plotting the estimated probability of persistence of susceptible rats S and infectious rats I through time, in a non structured population of ...