Spatiotemporal variation in risk of Shigella infection in childhood: a global risk mapping and prediction model using individual participant data

This repo includes the prediction maps generated from Badr, Colston et al. (2023).

Naming convention

The filenames follow 13-characters naming convention:

• The first four letters are the abbreviation of the pathogen (shig = Shigella).
• The next two letters indicating whether it is the probability or standard error (pr = Probability | se = Standard Error).
• Next are four numbers giving the upper and lower bound of the age range of the estimate in months.
• After that is a one letter for the syndrome (a = Asymptomatic | s = Surveillance).
• Last comes two letters indicating if the study design (hf = Health Facility | cs = Community Surveillance).

Funding

The research presented in this article was supported financially by NASA's Group on Earth Observations Work Programme (16-GEO16-0047), the National Institutes of Health's National Institute of Allergy and Infectious Diseases grant 1R03AI151564-01, and the Department of Internal Medicine and the Division of Infectious Diseases and International Health of the University of Virginia. Further funding was obtained from the BMGF under OPP1066146 to MNK. AJP is funded by Wellcome (108065/Z/15/Z). The funders played no role in the design and implementation of the study or the analysis and interpretation of the results.