#################################################################################### ### Fit models to empirical data from the RRV system to be used in the NGM model ### #################################################################################### #### ## The scripts here are used to create the following data frames which are used to predict ## community R0 and host/vector competence #### # h_to_m_trans : host to mosquito transmission for the community of interest # m_to_h_trans : mosquito to host transmission # mos_surv_for_R0 : mosquito survival # mosq_bite_pref : mosquito biting preference given the host community # host_prop_for_R0 : proportions of each host in the given community #### ## Host titer #### source("7_data.titer.R") #### ## Host to mosquito transmission #### source("8_data.hm.R") #### ## Mosquito to host transmission #### source("9_data.mh.R") #### ## Mosquito survival. #### source("11_data.mosq_surv_same.R") #### ## Mosquito biting preference #### source("12_data.mosq_bite_pref.R") #### ## Mosquito biting rate #### ## Just treat biting rate as the same across all hosts for now. When set up this way, ## just adjust the desired parameter value in parameters.R