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

Background: 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 sta...

Full description

Saved in:
Bibliographic Details
Main Authors: Annie J. Browne, Michael G. Chipeta, Georgina Haines-Woodhouse, Emmanuelle P.A. Kumaran, Bahar H.Kashef Hamadani, Sabra Zaraa, Nathaniel J. Henry, Aniruddha Deshpande, Robert C. Reiner, Nicholas P.J. Day, Alan D. Lopez, Susanna Dunachie, Catrin E. Moore, Andy Stergachis, Simon I. Hay, Christiane Dolecek
Other Authors: Faculty of Tropical Medicine, Mahidol University
Format: Article
Published: 2022
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/77475
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
id th-mahidol.77475
record_format dspace
spelling th-mahidol.774752022-08-04T18:30:18Z Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study Annie J. Browne Michael G. Chipeta Georgina Haines-Woodhouse Emmanuelle P.A. Kumaran Bahar H.Kashef Hamadani Sabra Zaraa Nathaniel J. Henry Aniruddha Deshpande Robert C. Reiner Nicholas P.J. Day Alan D. Lopez Susanna Dunachie Catrin E. Moore Andy Stergachis Simon I. Hay Christiane Dolecek Faculty of Tropical Medicine, Mahidol University Institute for Health Metrics and Evaluation University of Washington School of Medicine University of Washington Nuffield Department of Medicine Medicine Social Sciences Background: 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. 2022-08-04T09:00:17Z 2022-08-04T09:00:17Z 2021-12-01 Article The Lancet Planetary Health. Vol.5, No.12 (2021), e893-e904 10.1016/S2542-5196(21)00280-1 25425196 2-s2.0-85119858584 https://repository.li.mahidol.ac.th/handle/123456789/77475 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119858584&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
Social Sciences
spellingShingle Medicine
Social Sciences
Annie J. Browne
Michael G. Chipeta
Georgina Haines-Woodhouse
Emmanuelle P.A. Kumaran
Bahar H.Kashef Hamadani
Sabra Zaraa
Nathaniel J. Henry
Aniruddha Deshpande
Robert C. Reiner
Nicholas P.J. Day
Alan D. Lopez
Susanna Dunachie
Catrin E. Moore
Andy Stergachis
Simon I. Hay
Christiane Dolecek
Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
description Background: 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.
author2 Faculty of Tropical Medicine, Mahidol University
author_facet Faculty of Tropical Medicine, Mahidol University
Annie J. Browne
Michael G. Chipeta
Georgina Haines-Woodhouse
Emmanuelle P.A. Kumaran
Bahar H.Kashef Hamadani
Sabra Zaraa
Nathaniel J. Henry
Aniruddha Deshpande
Robert C. Reiner
Nicholas P.J. Day
Alan D. Lopez
Susanna Dunachie
Catrin E. Moore
Andy Stergachis
Simon I. Hay
Christiane Dolecek
format Article
author Annie J. Browne
Michael G. Chipeta
Georgina Haines-Woodhouse
Emmanuelle P.A. Kumaran
Bahar H.Kashef Hamadani
Sabra Zaraa
Nathaniel J. Henry
Aniruddha Deshpande
Robert C. Reiner
Nicholas P.J. Day
Alan D. Lopez
Susanna Dunachie
Catrin E. Moore
Andy Stergachis
Simon I. Hay
Christiane Dolecek
author_sort Annie J. Browne
title Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
title_short Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
title_full Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
title_fullStr Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
title_full_unstemmed Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
title_sort global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
publishDate 2022
url https://repository.li.mahidol.ac.th/handle/123456789/77475
_version_ 1763498168448712704