Explore open access research and scholarly works from NERC Open Research Archive

Advanced Search

One Health drivers of antibacterial resistance: quantifying the relative impacts of human, animal and environmental use and transmission

Booton, Ross D.; Meeyai, Aronrag; Alhusein, Nour; Buller, Henry; Feil, Edward; Lambert, Helen; Mongkolsuk, Skorn; Pitchforth, Emma; Reyher, Kristen K.; Sakcamduang, Walasinee; Satayavivad, Jutamaad; Singer, Andrew C. ORCID: https://orcid.org/0000-0003-4705-6063; Sringernyuang, Luechai; Thamlikitkul, Visanu; Vass, Lucy; Avison, Matthew B.; Turner, Katherine M.E.. 2021 One Health drivers of antibacterial resistance: quantifying the relative impacts of human, animal and environmental use and transmission. One Health, 12, 100220. 8, pp. 10.1016/j.onehlt.2021.100220

Abstract
Objectives: Antibacterial resistance (ABR) is a major global health security threat, with a disproportionate burden on lower-and middle-income countries (LMICs). It is not understood how ‘One Health’, where human health is co-dependent on animal health and the environment, might impact the burden of ABR in LMICs. Thailand’s 2017 “National Strategic Plan on Antimicrobial Resistance” (NSP-AMR) aims to reduce AMR morbidity by 50% through 20% reductions in human and 30% in animal antibacterial use (ABU). There is a need to understand the implications of such a plan within a One Health perspective. Methods: A model of ABU, gut colonisation with extended-spectrum beta-lactamase (ESBL)-producing bacteria and transmission was calibrated using estimates of the prevalence of ESBL-producing bacteria in Thailand. This model was used to project the reduction in human ABR over 20 years (2020–2040) for each One Health driver, including individual transmission rates between humans, animals and the environment, and to estimate the longterm impact of the NSP-AMR intervention. Results: The model predicts that human ABU was the most important factor in reducing the colonisation of humans with resistant bacteria (maximum 65.7–99.7% reduction). The NSP-AMR is projected to reduce human colonisation by 6.0–18.8%, with more ambitious targets (30% reductions in human ABU) increasing this to 8.5–24.9%. Conclusions: Our model provides a simple framework to explain the mechanisms underpinning ABR, suggesting that future interventions targeting the simultaneous reduction of transmission and ABU would help to control ABR more effectively in Thailand.
Documents
529669:169429
[thumbnail of N529669JA.pdf]
Preview
N529669JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (918kB) | Preview
Information
Library
Statistics

Downloads per month over past year

More statistics for this item...

Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email
View Item