IDEELResearch/TranSMIT_pf-po_epi

Code used to process Pf and Po spp. PCR prevalence among participants in the Transmission of Submicroscopic Malaria In Tanzania (TranSMIT) study The de-identified dataset in supplemental materials can be processed into a cleaned SAS dataset using the script contained in P._ovale_epi_bagamoyo_datacleaning_KellyCE.sas. Of note, the published dataset does not contain the enrollment_village variable for anonymity. The script should be adjusted to ignore this input variable, or a full dataset can be requested from the authors. The P._ovale_epi_bagamoyo_analysis_KellyCE.sas script can then be run on this cleaned dataset to do additional variable processing and generate final analyses. Some data visualizations require output of data from the SAS environment to an R environment followed by processing with the included R scripts: plot_pf-po_antagonism_forestplot.R plot_pf-po_by_rainyseasons.R plot_pf-po-poc-pow_paras-density.R transmit_plasmodiuminteraction_NiDP.R plot_poc-pow_obs-exp_venn.R plot_pf-po-poc-pow_wet-prev-by-year.R plot_po-species_po18s-ct-tertiles.R plot_pf-po_village-prev.R plot_transmit_rainfall_malaria-prevalence.R NiDP_modelFitting.R