TY - JOUR
T1 - One Health drivers of antibacterial resistance
T2 - Quantifying the relative impacts of human, animal and environmental use and transmission
AU - OH-DART Study Group
AU - Booton, Ross D.
AU - Meeyai, Aronrag
AU - Alhusein, Nour
AU - Buller, Henry
AU - Feil, Edward
AU - Lambert, Helen
AU - Mongkolsuk, Skorn
AU - Pitchforth, Emma
AU - Reyher, Kristen K.
AU - Sakcamduang, Walasinee
AU - Satayavivad, Jutamaad
AU - Singer, Andrew C.
AU - Sringernyuang, Luechai
AU - Thamlikitkul, Visanu
AU - Vass, Lucy
AU - Avison, Matthew B.
AU - Chantong, Boonrat
AU - Charoenlap, Nisanart
AU - Couto, Natacha
AU - Dulyayangkul, Punyawee
AU - Gibbon, Marjorie J.
AU - Gould, Virginia C.
AU - Montrivade, Varapon
AU - Phoonsawad, Kornrawan
AU - Rangkadilok, Nuchanart
AU - Ratanakorn, Parntep
AU - Sirikanchana, Kwanrawee
AU - Suriyo, Tawit
AU - Suwanpakdee, Sarin
AU - Turner, Katherine M.E.
AU - Wichuwaranan, Kantima
AU - Wiratsudakul, Anuwat
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/6
Y1 - 2021/6
N2 - 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 long-term 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.
AB - 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 long-term 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.
KW - Antibacterial resistance
KW - Antibacterial usage
KW - Mathematical model
KW - One health
KW - Thailand
KW - Transmission
UR - http://www.scopus.com/inward/record.url?scp=85100821014&partnerID=8YFLogxK
U2 - 10.1016/j.onehlt.2021.100220
DO - 10.1016/j.onehlt.2021.100220
M3 - Article
AN - SCOPUS:85100821014
SN - 2352-7714
VL - 12
JO - One Health
JF - One Health
M1 - 100220
ER -