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dc.contributor.author
Zhao, Cheng
dc.contributor.author
Wang, Yu
dc.contributor.author
Tiseo, Katie
dc.contributor.author
Do Couto Pires, Joao Pedro
dc.contributor.author
Criscuolo, Nicola G.
dc.contributor.author
Van Boeckel, Thomas P.
dc.date.accessioned
2022-02-03T13:32:53Z
dc.date.available
2021-08-11T04:39:04Z
dc.date.available
2021-09-28T08:56:15Z
dc.date.available
2022-02-03T13:05:47Z
dc.date.available
2022-02-03T13:32:53Z
dc.date.issued
2021-08
dc.identifier.issn
2662-1355
dc.identifier.other
10.1038/s43016-021-00320-x
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/500370
dc.identifier.doi
10.3929/ethz-b-000500370
dc.description.abstract
The rise of antimicrobial resistance (AMR) in animals is being fuelled by the widespread use of veterinary antimicrobials. China is the largest global consumer of veterinary antimicrobials, and improving AMR surveillance strategies in this region could help prioritize intervention and preserve antimicrobial efficacy. Here we mapped AMR rates in pigs, chickens and cattle in China using 446 surveys of event-based surveillance between 2000 and 2019 for foodborne bacteria, in combination with geospatial models to identify locations where conducting new surveys could have the highest benefits. Using maps of uncertainty, we show that eastern China currently has the highest AMR rates, and southwestern and northeastern China would benefit the most from additional surveillance efforts. Instead of distributing new surveys evenly across administrative divisions, using geographically targeted surveillance could reduce AMR prediction uncertainty by two-fold. In a context of competing disease control priorities, our findings present a feasible option for optimizing surveillance efforts—and slowing the spread of AMR.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Antimicrobial resistance
en_US
dc.subject
Ecological epidemiology
en_US
dc.subject
Geography
en_US
dc.subject
Health policy
en_US
dc.subject
Infectious diseases
en_US
dc.title
Geographically targeted surveillance of livestock could help prioritize intervention against antimicrobial resistance in China
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2021-07-26
ethz.journal.title
Nature Food
ethz.journal.volume
2
en_US
ethz.journal.issue
8
en_US
ethz.journal.abbreviated
Nat Food
ethz.pages.start
596
en_US
ethz.pages.end
602
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.grant
Global Policies for Antimicrobial Resistance in Animals
en_US
ethz.grant
Piloting on-site interventions for reducing antimicrobial use in livestock farming in emerging economies
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02723 - Institut für Umweltentscheidungen / Institute for Environmental Decisions::09673 - Van Boeckel, Thomas (ehemalig) / Van Boeckel, Thomas (former)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02723 - Institut für Umweltentscheidungen / Institute for Environmental Decisions::09673 - Van Boeckel, Thomas (ehemalig) / Van Boeckel, Thomas (former)
ethz.grant.agreementno
181248
ethz.grant.agreementno
180179
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Eccellenza
ethz.grant.program
ERA-NET + EJP
ethz.date.deposited
2021-08-11T04:39:16Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-09-28T08:56:22Z
ethz.rosetta.lastUpdated
2024-02-02T16:15:58Z
ethz.rosetta.versionExported
true
ethz.COinS
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