tmbarrett2/mobility-market-integration-madagascar

Companion code for: Characterizing human mobility patterns and their association with SARS-CoV-2 infection across a gradient of market integration This readme file was generated on [2026-01-28] by [Tyler Barrett] ------------------- GENERAL INFORMATION ------------------- Code and data dictionary from: Characterizing human mobility patterns and their association with SARS-CoV-2 infection across a gradient of market integration Author Contact Information Lead Author: Tyler M. Barrett Institution: Duke University Email: tyler.barrett@duke.edu ORCID: 0000-0001-8166-8704 Principal Investigator: Charles L. Nunn Institution: Duke University Email: clnunn@duke.edu ORCID: 0000-0001-9330-2873 Date of data collection: 20221103-20250105 Geographic location of data collection: SAVA, Madagascar Funding and grant numbers: Funding was provided by the joint NIH-NSF-NIFA Ecology and Evolution of Infectious Disease Program (DEB-2308460), an NSF Doctoral Dissertation Research Improvement Grant (BCS-2341234), and the Center for Population Health and Aging (CPHA) at Duke University and its NIA Center Grant (P30 AG034424). -------------------- DATA & FILE OVERVIEW -------------------- The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. List of Data Files: 1. `survey_infection_data.csv`: survey and SARS-CoV-2 infection data to replicate analyses in the paper 2. `commune_edgelist.csv`: commune-level network edge data to replicate travel network figure in the paper 3. `commune_nodelist.csv`: commune-level network node data to replicate travel network figure in the paper 4. `travel_similarity_edgelist.csv`: person-level edge data reflecting shared travel patterns List of Code Files: 1. `replicate_results_figures.R`: R code to replicate figures and statistical models in the results section of the paper -------------------------- METHODOLOGICAL INFORMATION -------------------------- A detailed description of the methods used to collect and generate the data are provided in the associated paper. -- …