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The global economic burden of antibiotic-resistant infections and the potential impact of bacterial vaccines

A modelling study

Bibliographic Data

ID21880485
AuthorsNichola R Naylor (0000-0003-4122-6631, London School of Hygiene & Tropical Medicine), Mateusz Hasso-Agopsowicz (0000-0003-4137-4685, World Health Organization), Chaelin Kim (0000-0001-7720-3349, London School of Hygiene & Tropical Medicine), Yixuan Ma (0000-0003-0192-0338, Aquarius Population Health), Isabel Frost (0000-0002-0095-0845, World Health Organization), Kaja Abbas (0000-0003-0563-1576, London School of Hygiene & Tropical Medicine), Gisela Aguilar (University of Oxford), Naomi Fuller (0000-0003-4026-5591, London School of Hygiene & Tropical Medicine), Julie V Robotham (0000-0003-2515-4084, UK Health Security Agency), Mark Jit (0000-0001-6658-8255, London School of Hygiene & Tropical Medicine)
Year2025
Volume10
Issue6
Pagese016249
Publication date2025-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2024-016249
PMID40537271
OpenAlexW4411455183
LanguageEN
Citations received1
References cited23

INTRODUCTION: Antibiotic resistance (ABR) may increase hospital costs, utility loss and mortality risk per patient. Understanding these losses at national, regional and global scales is necessary for efficiently tackling ABR. Our aim is to estimate the global economic burden of antibiotic-resistant infections and the potential for bacterial vaccines to mitigate this burden. METHODS: We take healthcare system and labour productivity perspectives. Hospital cost-per-case and length-of-stay estimates were calculated through meta-analyses and reviewing published systematic reviews. Unit labour productivity losses were estimated through a human capital approach. Modelled estimates were used where secondary data were missing. Death and incidence data were combined with unit cost data to estimate the economic burden associated with ABR in 2019, and the potential costs averted (in 2019 US$) based on uptake scenarios of vaccines that currently exist or are likely to be developed. RESULTS: Multidrug-resistant tuberculosis had the highest mean hospital cost attributable to ABR per patient, the range was US$3000 in lower-income settings to US$41 000 in high-income settings, with carbapenem-resistant infections associated with a high cost-per-case of US$3000-US$7000 depending on syndrome. ABR was associated with a median value of US$693 billion (IQR: US$627 bn-US$768 bn) in hospital costs globally, with US$207 bn (IQR: US$186 bn-US$229 bn) potentially avertable by vaccines. Productivity losses were quantified at almost US$194 billion, with US$76 bn avertable by vaccines. CONCLUSIONS: would avert a substantial portion of the economic burden associated with ABR. More robust evidence, particularly in low-income countries, on the hospital costs, associated with and attributable to ABR, is needed

Antibiotic resistance · Antibiotics · Business · Economic cost · Economic growth · Economic impact analysis · Economics · Environmental health · Global health · Health economics · Indirect costs · Productivity · Public health · Antibiotic Resistance in Bacteria · Antibiotic Use and Resistance · Antibiotics Pharmacokinetics and Efficacy · Medicine

  • Measuring vaccine effects on antibiotic use and antimicrobial resistance in low and middle-income countries

    Open Access•Chinwe Iwu-Jaja, Chidozie Declan Iwu et al.•PLOS Global Public Health•2026

  • Global burden of bacterial antimicrobial resistance in 2019

    Open Access•Christopher J L Murray, Kevin S Ikuta et al.•The Lancet•2022

  • Global and regional burden of attributable and associated bacterial antimicrobial resistance avertable by vaccination

    Open Access•Chaelin Kim, Marianne Holm et al.•BMJ Global Health•2023

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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