This repo uses evidence synthesis, collation and analyses to compile unit costs of antimicrobial resistance (associated and attributable burden). An inverse variance meta-analysis with random effects is used to estimate excess hospital costs per case. Average values across key literature sources are utilised for antibiotic unit cost estimation, whilst international databases are consulted for economic data. Productivity losses are estimated through human capital and production function approaches. Inflation and exchange rate data are used to preserve local currency units and local economic shifts throughout, where possible. All cost results are then presented in 2019 USD.