Publication:
Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study

dc.contributor.authorAnnie J. Browneen_US
dc.contributor.authorMichael G. Chipetaen_US
dc.contributor.authorGeorgina Haines-Woodhouseen_US
dc.contributor.authorEmmanuelle P.A. Kumaranen_US
dc.contributor.authorBahar H.Kashef Hamadanien_US
dc.contributor.authorSabra Zaraaen_US
dc.contributor.authorNathaniel J. Henryen_US
dc.contributor.authorAniruddha Deshpandeen_US
dc.contributor.authorRobert C. Reineren_US
dc.contributor.authorNicholas P.J. Dayen_US
dc.contributor.authorAlan D. Lopezen_US
dc.contributor.authorSusanna Dunachieen_US
dc.contributor.authorCatrin E. Mooreen_US
dc.contributor.authorAndy Stergachisen_US
dc.contributor.authorSimon I. Hayen_US
dc.contributor.authorChristiane Doleceken_US
dc.contributor.otherFaculty of Tropical Medicine, Mahidol Universityen_US
dc.contributor.otherInstitute for Health Metrics and Evaluationen_US
dc.contributor.otherUniversity of Washington School of Medicineen_US
dc.contributor.otherUniversity of Washingtonen_US
dc.contributor.otherNuffield Department of Medicineen_US
dc.date.accessioned2022-08-04T09:00:17Z
dc.date.available2022-08-04T09:00:17Z
dc.date.issued2021-12-01en_US
dc.description.abstractBackground: Antimicrobial resistance (AMR) is a serious threat to global public health. WHO emphasises the need for countries to monitor antibiotic consumption to combat AMR. Many low-income and middle-income countries (LMICs) lack surveillance capacity; we aimed to use multiple data sources and statistical models to estimate global antibiotic consumption. Methods: In this spatial modelling study, we used individual-level data from household surveys to inform a Bayesian geostatistical model of antibiotic usage in children (aged <5 years) with lower respiratory tract infections in LMICs. Antibiotic consumption data were obtained from multiple sources, including IQVIA, WHO, and the European Surveillance of Antimicrobial Consumption Network (ESAC-Net). The estimates of the antibiotic usage model were used alongside sociodemographic and health covariates to inform a model of total antibiotic consumption in LMICs. This was combined with a single model of antibiotic consumption in high-income countries to produce estimates of antibiotic consumption covering 204 countries and 19 years. Findings: We analysed 209 surveys done between 2000 and 2018, covering 284 045 children with lower respiratory tract infections. We identified large national and subnational variations of antibiotic usage in LMICs, with the lowest levels estimated in sub-Saharan Africa and the highest in eastern Europe and central Asia. We estimated a global antibiotic consumption rate of 14·3 (95% uncertainty interval 13·2–15·6) defined daily doses (DDD) per 1000 population per day in 2018 (40·2 [37·2–43·7] billion DDD), an increase of 46% from 9·8 (9·2–10·5) DDD per 1000 per day in 2000. We identified large spatial disparities, with antibiotic consumption rates varying from 5·0 (4·8–5·3) DDD per 1000 per day in the Philippines to 45·9 DDD per 1000 per day in Greece in 2018. Additionally, we present trends in consumption of different classes of antibiotics for selected Global Burden of Disease study regions using the IQVIA, WHO, and ESAC-net input data. We identified large increases in the consumption of fluoroquinolones and third-generation cephalosporins in North Africa and Middle East, and south Asia. Interpretation: To our knowledge, this is the first study that incorporates antibiotic usage and consumption data and uses geostatistical modelling techniques to estimate antibiotic consumption for 204 countries from 2000 to 2018. Our analysis identifies both high rates of antibiotic consumption and a lack of access to antibiotics, providing a benchmark for future interventions. Funding: Fleming Fund, UK Department of Health and Social Care; Wellcome Trust; and Bill & Melinda Gates Foundation.en_US
dc.identifier.citationThe Lancet Planetary Health. Vol.5, No.12 (2021), e893-e904en_US
dc.identifier.doi10.1016/S2542-5196(21)00280-1en_US
dc.identifier.issn25425196en_US
dc.identifier.other2-s2.0-85119858584en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/77475
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119858584&origin=inwarden_US
dc.subjectMedicineen_US
dc.subjectSocial Sciencesen_US
dc.titleGlobal antibiotic consumption and usage in humans, 2000–18: a spatial modelling studyen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119858584&origin=inwarden_US

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