Weak compliance with Nigeria's wildlife trade ban imposed to curb mpox spillovers

The folder contains the datasets used to fit the six models in the associated paper, "Weak compliance with Nigeria’s wildlife trade ban imposed to curb mpox spillovers", accepted for publication in Proceedings of the Royal Society B. The data are wild meat trade records gathered in real-time from 19 vendors in two markets in southeast Nigeria between September 2020 and December 2024. The datasets and corresponding models are: File name Model mass.model Model assessing variation in the mass of wild meat each vendor sold weekly. income.model Model assessing variation in the weekly price of wild meat. number.model Model assessing variation in the number of vendors selling wild meat weekly ppkg.model Model assessing variation in the weekly price per kilogram of wild meat. supp.model-three.months Model assessing variation in the weekly mass of wild meat sold three months before and after the ban. supp.model-six.months Model assessing variation in the weekly mass of wild meat sold six months before and after the ban. Metadata The datasets are structured in a tabular format (in .csv). Variable descriptions are provided below (X refers to the relevant variable). Column Name Description vendor.id Identifier for the vendor (e.g., "Vendor 10") week Julian week number (1–52) when the data was collected period Period relative to the ban: Pre-ban or Post-ban location Anonymised ID of the market where the data was collected season Season during data collection: Dry or Wet order Taxonomic order of the sold animal group (e.g., Artiodactyla, Carnivora) summed.X Total X of meat sold by that vendor for that order in the corresponding week lagged.X X sold the previous week (used for time-series modelling). Note the missing data (NA) for the first record of each vendor due to a lack of prior data. continuous.week A sequential week number across all years (e.g., week 37 of 2020 = 37; week 1 of 2021 = 53) row.count Number of entries grouped in the week per vendor/order combination standardized.X X standardised (e.g., summed.X / row.count) transformed.X Log-transformed value of summed.X or standardized.X