Constarium
← Search

Data · dataset · 2025

NikkiR08/AMR-UCR

Listed in LSHTM Data Compass

This repo uses evidence synthesis, collation and analyses to compile unit costs of antimicrobial resistance (associated and attributable burden).

Description

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.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Earth & Environmental Science · Humanities · Life Sciences · Medicine & Health · Social Science
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
LSHTM Data Compassoai:datacompass.lshtm.ac.uk:472510 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
descriptionsource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/description
publication_datesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
titlesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/title