Data and Code for: Optimizing Culturally Feasible Diets for Health and the Total Environment: Region-Specific Climate, Land, Water and Eutrophication Impacts in Ten Countries

This dataset provides the code and author-generated derived outputs required to reproduce all figures and tables in the associated manuscript: "Optimizing Culturally Feasible Diets for Health and the Total Environment: Region-Specific Climate, Land, Water and Eutrophication Impacts in Ten Countries" (under review at Science of the Total Environment). CONTENTS: 1) Code: Python scripts for linear programming optimization, comparative risk assessment (CRA), Monte Carlo uncertainty analysis, and sensitivity analyses. Includes configuration files and requirements.txt for environment setup. 2) Derived Results: Country-level optimization outputs (CSV), including DALYs averted, dietary transitions, environmental impact changes (GHG, land, water, eutrophication), cost analysis, constraint decomposition, and sensitivity/uncertainty summaries for 10 countries (Brazil, China, Egypt, Ethiopia, India, Indonesia, South Africa, UK, USA, Vietnam). 3) Figures: Rendered figures (PDF and PNG) corresponding to Figures 1–8 in the main text and supplementary figures, including the graphical abstract. STUDY OVERVIEW: We applied constrained linear programming to identify culturally feasible dietary modifications (±50% of baseline intake) that optimize health outcomes while accounting for region-specific environmental impacts. Using FAO GLEAM v3.0 emission intensities for ruminant products and Poore & Nemecek (2018) coefficients for other foods, we estimated that optimized diets could avert 38.75 million DALYs annually and reduce GHG emissions by 215 kg CO2-eq per capita per year across 4.15 billion people. DATA SOURCES (not redistributed here; publicly available): - Disease burden: GBD 2023 (IHME) - Dietary intake: Global Dietary Database 2018 - Environmental coefficients: FAO GLEAM v3.0, Poore & Nemecek (2018) - Food supply: FAO Food Balance Sheets 2023 - Food costs: FAO CoAHD 2021 REPRODUCIBILITY: See docs/REPRODUCIBILITY.md for step-by-step instructions to regenerate all outputs from the provided code and publicly available input data. LICENSE: CC BY 4.0