Dataset for: Dietary staple protein quality and meningitis mortality across 54 African countries: an ecological cross-sectional study
Description
Country-level dataset for 54 African countries comprising the primary outcome (meningitis cause fraction, GBD 2023), disease covariates (diarrhoea, malaria, HIV cause fractions, GBD 2023), care variables (household air pollution, unsafe sanitation, SDI, HiB3, PCV3, GBD 2023), and dietary variables (animal protein, staple protein supply for wheat, rice, maize, millet, sorghum and cassava, FAOSTAT food balance sheets 2019–2023). Used in beta regression analysis of dietary staple protein quality and meningitis mortality. Includes a data dictionary sheet defining all variables.
Files
Steps to reproduce
Country-level data were compiled for 54 African countries from two publicly available sources. Meningitis, diarrhoeal disease, malaria and HIV cause fractions (proportion of all-cause deaths) for 2023, along with household air pollution, unsafe sanitation (SEV), socio-demographic index, HiB3 and PCV3 vaccination coverage, were extracted from the GBD 2023 Results Tool (https://vizhub.healthdata.org/gbd-results/) selecting measure=Deaths, metric=Percent, age=All ages, sex=Both, year=2023, for all African countries. Dietary variables — animal protein, non-cereal plant protein, and staple protein supply for wheat, rice, maize, millet, sorghum and cassava — were extracted from FAOSTAT Food Balance Sheets (https://www.fao.org/faostat/en/#data/FBS) as five-year averages 2019–2023. For nine countries where current series data were under revision, values from the 2018–2022 series were used. For Eritrea and Equatorial Guinea, values were imputed from respective GBD sub-regional estimates. Total dietary energy supply was extracted from the FAOSTAT Suite of Food Security Indicators. Raw downloaded files were manually compiled into the dataset file Africa_Countries_Mendeley_Upload.xlsx prior to analysis. The R script reads this compiled file directly and reproduces all statistical analyses and figures reported in the manuscript.
Institutions
- SRM Institute of Science and TechnologyTamil Nadu, Chennai