Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study
Open accessAbstract
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.
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A study published in 2021 reported that there was a 46% increase in the global consumption of antimicrobials between 2000 and 2018.
“A study published in 2021 reported that there was a 46% increase in the global consumption of antimicrobials between 2000 and 2018.”
From Antimicrobial Resistance Rates and Surveillance in Sub-Saharan Africa: Where Are We Now? (2022) · cites this paper as [26]
The Introduction (Added value of this study) reports a 46% increase in global antibiotic consumption since 2000, and the Results give the 2000 and 2018 consumption rates. The study measures antibiotics, not antimicrobials as a whole, so the claim broadens its scope. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe global consumption rate of antimicrobials increased from 9.8 (9.2-10.5) daily defined doses to 14.3 (13.2-15.6) daily defined doses per 1000 population per day between 2000 and 2018.
“The study found that the consumption rate increased from 9.8 (9.2-10.5)daily defined doses (DDD) to 14.3 (13.2-15.6)DDD per 1000 population per day.”
From Antimicrobial Resistance Rates and Surveillance in Sub-Saharan Africa: Where Are We Now? (2022) · cites this paper as [26]
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Cites
Global increase and geographic convergence in antibiotic consumption between 2000 and 2015
Klein, E. Y., Van Boeckel, T. P., Martinez, E. M., Pant, S., Gandra, S., Levin, S. A., Goossens, H., & Laxminarayan, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1717295115 · Cited by 3,232 · see citing works
Guidelines for accurate and transparent health estimates reporting: the GATHER statement
Stevens, G. A., Alkema, L., Black, R. E., Boerma, J. T., Collins, G. S., Ezzati, M., Grove, J. T., Hogan, D. R., Hogan, M. C., Horton, R., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)30388-9 · Cited by 1,798 · see citing works
Prevalence of inappropriate antibiotic prescriptions among US ambulatory care visits, 2010-2011
Fleming-Dutra, K. E., Hersh, A. L., Shapiro, D. J., Bartoces, M., Enns, E. A., File, T. M., Finkelstein, J. A., Gerber, J. S., Hyun, D. Y., Linder, J. A., et al. (2016) · JAMA · doi:10.1001/jama.2016.4151 · Cited by 1,740 · see citing works
Klein, E. Y., Milkowska-Shibata, M., Tseng, K. K., Sharland, M., Gandra, S., Pulcini, C., & Laxminarayan, R. (2021) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30332-7 · Cited by 500 · see citing works
Mapping 123 million neonatal, infant and child deaths between 2000 and 2017
Burstein, R., Henry, N. J., Collison, M. L., Marczak, L. B., Sligar, A., Watson, S., Marquez, N., Abbasalizad-Farhangi, M., Abbasi, M., Abd-Allah, F., et al. (2019) · Nature · doi:10.1038/s41586-019-1545-0 · Cited by 276 · see citing works
Self-citationElong Ekambi, G.-A., Okalla Ebongue, C., Penda, I. C., Nnanga Nga, E., Mpondo Mpondo, E., & Eboumbou Moukoko, C. E. (2019) · PLOS ONE · doi:10.1371/journal.pone.0212875 · Cited by 128 · see citing works
Flagged first, then by citations
Research works printed but not linked: 43
- [1]Dicker D Nguyen G Abate D Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017 Lancet 392 2018 1684 1735 30496102 PMC6227504
- [3]Laxminarayan R Matsoso P Pant S Access to effective antimicrobials: a worldwide challenge Lancet 387 2016 168 175 26603918
- [4]O'Neill J Tackling drug-resistant infections globally: final report and recommendations https://amr-review.org/sites/default/files/160525_Final%20paper_with%20cover.pdf 2016
- [5]Goossens H Ferech M Vander Stichele R Elseviers M Outpatient antibiotic use in Europe and association with resistance: a cross-national database study Lancet 365 2005 579 587 15708101
- [6]Albrich WC Monnet DL Harbarth S Antibiotic selection pressure and resistance in Streptococcus pneumoniae and Streptococcus pyogenes Emerg Infect Dis 10 2004 514 517 15109426 PMC3322805
- [7]van de Sande-Bruinsma N Grundmann H Verloo D Antimicrobial drug use and resistance in Europe Emerg Infect Dis 14 2008 1722 1730 18976555 PMC2630720
- [10]Pisani E Antimicrobial resistance: what does medicine quality have to do with it? https://amr-review.org/sites/default/files/ElizabethPisaniMedicinesQualitypaper.pdf 2015
- [11]Simonsen GS Tapsall JW Allegranzi B Talbot EA Lazzari S The antimicrobial resistance containment and surveillance approach—a public health tool Bull World Health Organ 82 2004 928 934 15654407 PMC2623104
- [13]Versporten A Bolokhovets G Ghazaryan L Antibiotic use in eastern Europe: a cross-national database study in coordination with the WHO Regional Office for Europe Lancet Infect Dis 14 2014 381 387 24657114
- [15]Van Boeckel TP Gandra S Ashok A Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data Lancet Infect Dis 14 2014 742 750 25022435
- [17]Col NF O'Connor RW Estimating worldwide current antibiotic usage: report of Task Force 1 Rev Infect Dis 9 suppl 3 1987 S232 S243 3299645
- [21]Golding N Burstein R Longbottom J Mapping under-5 and neonatal mortality in Africa, 2000–15: a baseline analysis for the Sustainable Development Goals Lancet 390 2017 2171 2182 28958464 PMC5687451
- [22]Osgood-Zimmerman A Millear AI Stubbs RW Mapping child growth failure in Africa between 2000 and 2015 Nature 555 2018 41 47 29493591 PMC6346257
- [23]Reiner RC Jr Wiens KE Deshpande A Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017 Lancet 395 2020 1779 1801 32513411 PMC7314599
- [24]Wiens K Lindstedt PA Blacker BF Johnson KB Baumann MM Schaeffer LE Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17 Lancet Glob Health 8 2020 e1038 e1060 32710861 PMC7388204
- [28]Norris P Nguyen HA Consumption of antibiotics in a small Pacific island nation: Samoa Pharm Pract (Granada) 5 2007 36 41 25214916 PMC4155148
- [29]Mitema ES Kikuvi GM Surveillance of the overall use of antimicrobial drugs in humans over a 5 year period (1997–2001) in Kenya J Antimicrob Chemother 54 2004 966 967 15375110
- [30]Bhatt S Cameron E Flaxman SR Weiss DJ Smith DL Gething PW Improved prediction accuracy for disease risk mapping using Gaussian process stacked generalization J R Soc Interface 14 2017 20170520 PMC5636278 28931634
- [31]Stanaway JD Afshin A Gakidou E Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 Lancet 392 2018 1923 1994 30496105 PMC6227755
- [33]Mendelson M Røttingen JA Gopinathan U Maximising access to achieve appropriate human antimicrobial use in low-income and middle-income countries Lancet 387 2016 188 198 26603919
- [35]Rudd KE Johnson SC Agesa KM Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study Lancet 395 2020 200 211 31954465 PMC6970225
- [36]Liu L Oza S Hogan D Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis Lancet 385 2015 430 440 25280870
- [37]Fink G D'Acremont V Leslie HH Cohen J Antibiotic exposure among children younger than 5 years in low-income and middle-income countries: a cross-sectional study of nationally representative facility-based and household-based surveys Lancet Infect Dis 20 2020 179 187 31843383
- [38]Sulis G Gandra S Access to antibiotics: not a problem in some LMICs Lancet Glob Health 9 2021 e561 e562 33713631
- [39]Do NTT Vu HTL Nguyen CTK Community-based antibiotic access and use in six low-income and middle-income countries: a mixed-method approach Lancet Glob Health 9 2021 e610 e619 33713630 PMC8050200
- [40]Kenyon C Manoharan-Basil SS Cultural drivers of antibiotic consumption in high-income countries: A global ecological analysis Microb Drug Resist 26 2020 1063 1070 32182187
- [41]Borg MA National cultural dimensions as drivers of inappropriate ambulatory care consumption of antibiotics in Europe and their relevance to awareness campaigns J Antimicrob Chemother 67 2012 763 767 22200725
- [42]Gaygısız Ü Lajunen T Gaygısız E Socio-economic factors, cultural values, national personality and antibiotics use: a cross-cultural study among European countries J Infect Public Health 10 2017 755 760 28209467
- [43]Harbarth S Albrich W Brun-Buisson C Outpatient antibiotic use and prevalence of antibiotic-resistant pneumococci in France and Germany: a sociocultural perspective Emerg Infect Dis 8 2002 1460 1467 12498664 PMC2738507
- [44]Allwell-Brown G Hussain-Alkhateeb L Kitutu FE Strömdahl S Mårtensson A Johansson EW Trends in reported antibiotic use among children under 5 years of age with fever, diarrhoea, or cough with fast or difficult breathing across low-income and middle-income countries in 2005-17: a systematic analysis of 132 national surveys from 73 countries Lancet Glob Health 8 2020 e799 e807 32446345
- [45]Auta A Hadi MA Oga E Global access to antibiotics without prescription in community pharmacies: a systematic review and meta-analysis J Infect 78 2019 8 18 29981773
- [47]Cambaco O Alonso Menendez Y Kinsman J Community knowledge and practices regarding antibiotic use in rural Mozambique: where is the starting point for prevention of antibiotic resistance? BMC Public Health 20 2020 1183 PMC7389384 32727445
- [48]Abubakar U Tangiisuran B Knowledge and practices of community pharmacists towards non-prescription dispensing of antibiotics in Northern Nigeria Int J Clin Pharm 42 2020 756 764 32270378
- [49]Campbell H El Arifeen S Hazir T Measuring coverage in MNCH: challenges in monitoring the proportion of young children with pneumonia who receive antibiotic treatment PLoS Med 10 2013 e1001421 PMC3646212 23667338
- [50]Padget M Guillemot D Delarocque-Astagneau E Measuring antibiotic consumption in low-income countries: a systematic review and integrative approach Int J Antimicrob Agents 48 2016 27 32 27318624
- [51]Kakkar M Walia K Vong S Chatterjee P Sharma A Antibiotic resistance and its containment in India BMJ 358 2017 j2687 28874365
- [52]Panzner U Pak GD Aaby P Utilization of healthcare in the typhoid fever surveillance in Africa program Clin Infect Dis 62 suppl 1 2016 S56 S68 26933023 PMC4772834
- [53]Morgan DJ Okeke IN Laxminarayan R Perencevich EN Weisenberg S Non-prescription antimicrobial use worldwide: a systematic review Lancet Infect Dis 11 2011 692 701 21659004 PMC3543997
- [54]Alhomoud F Aljamea Z Almahasnah R Alkhalifah K Basalelah L Alhomoud FK Self-medication and self-prescription with antibiotics in the Middle East-do they really happen? A systematic review of the prevalence, possible reasons, and outcomes Int J Infect Dis 57 2017 3 12 28111172
- [55]Almuzaini T Choonara I Sammons H Substandard and counterfeit medicines: a systematic review of the literature BMJ Open 3 2013 e002923 PMC3752049 23955188
- [56]Kelesidis T Falagas ME Substandard/counterfeit antimicrobial drugs Clin Microbiol Rev 28 2015 443 464 25788516 PMC4402958
- [57]Khare S Purohit M Sharma M Antibiotic prescribing by informal healthcare providers for common illnesses: a repeated cross-sectional study in rural India Antibiotics (Basel) 8 2019 e139 31491900 PMC6783982
- [58]Suy S Rego S Bory S Invisible medicine sellers and their use of antibiotics: a qualitative study in Cambodia BMJ Glob Health 4 2019 e001787 PMC6768357 31637030
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- Authors
- Browne, A. J., Chipeta, M. G., Haines-Woodhouse, G., Kumaran, E. P. A., Hamadani, B. H. K., Zaraa, S., Henry, N. J., Deshpande, A., Reiner, R. C., Day, N. P. J., Lopez, A. D., Dunachie, S., Moore, C. E., Stergachis, A., Hay, S. I., & Dolecek, C.
- Affiliations
- University of Oxford (GB)
- Mahidol University (TH)
- University of Washington (US)
- Corresponding author
- Dolecek, Christiane
- ORCID
- Venue
- The Lancet Planetary Health
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 5
- Issue
- 12
- Pages
- e893-e904
- ISSN
- 2542-5196 (ISSN-L)
- PMC
- PMC8654683
- OpenAlex
- W3211444262
- Cited by
- 865
- References
- 6
- Citations by year
- 2026: 126 · 2025: 220 · 2024: 245 · 2023: 186 · 2022: 84 · 2021: 2 · 2017: 1
- FWCI
- 76.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Planetary Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Funders
- Bill and Melinda Gates Foundation
- Wellcome Trust
- Topics
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
- Health Sciences › Medicine › Epidemiology › Pneumonia and Respiratory Infections
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
- Keywords
- antibiotic use, antimicrobial resistance, lower respiratory tract infection, children, low- and middle-income countries, spatial modeling, Bayesian geostatistical model, antibiotic consumption trends, fluoroquinolones, third-generation cephalosporins, antibiotic surveillance, subnational variation, household surveys, global burden of disease
- MeSH terms
- Africa, Northern, Anti-Bacterial Agents, Bayes Theorem, Child, Child, Preschool, Humans, Global Health, Models, Statistical
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