FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211444262> ?p ?o ?g. }

• W3211444262 endingPage "e904" @default.
• W3211444262 startingPage "e893" @default.
• W3211444262 abstract "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.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.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.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.Fleming Fund, UK Department of Health and Social Care; Wellcome Trust; and Bill & Melinda Gates Foundation." @default.
• W3211444262 created "2021-11-22" @default.
• W3211444262 creator A5006346036 @default.
• W3211444262 creator A5012870549 @default.
• W3211444262 creator A5019601440 @default.
• W3211444262 creator A5021643890 @default.
• W3211444262 creator A5022826765 @default.
• W3211444262 creator A5029126318 @default.
• W3211444262 creator A5031889135 @default.
• W3211444262 creator A5034097318 @default.
• W3211444262 creator A5052831600 @default.
• W3211444262 creator A5054517392 @default.
• W3211444262 creator A5057804886 @default.
• W3211444262 creator A5076154181 @default.
• W3211444262 creator A5078122621 @default.
• W3211444262 creator A5079914158 @default.
• W3211444262 creator A5083381486 @default.
• W3211444262 creator A5090839379 @default.
• W3211444262 date "2021-12-01" @default.
• W3211444262 modified "2023-10-10" @default.
• W3211444262 title "Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study" @default.
• W3211444262 cites W2010021083 @default.
• W3211444262 cites W2056830352 @default.
• W3211444262 cites W2085945944 @default.
• W3211444262 cites W2089779935 @default.
• W3211444262 cites W2097981845 @default.
• W3211444262 cites W2100353213 @default.
• W3211444262 cites W2104843155 @default.
• W3211444262 cites W2120758450 @default.
• W3211444262 cites W2129745509 @default.
• W3211444262 cites W2134262748 @default.
• W3211444262 cites W2135570538 @default.
• W3211444262 cites W2138464868 @default.
• W3211444262 cites W2150069228 @default.
• W3211444262 cites W2158885681 @default.
• W3211444262 cites W2164318124 @default.
• W3211444262 cites W2171609823 @default.
• W3211444262 cites W2180542330 @default.
• W3211444262 cites W2180752973 @default.
• W3211444262 cites W2295647535 @default.
• W3211444262 cites W2347049117 @default.
• W3211444262 cites W2403830554 @default.
• W3211444262 cites W2412749782 @default.
• W3211444262 cites W2462161029 @default.
• W3211444262 cites W2567030649 @default.
• W3211444262 cites W2575744492 @default.
• W3211444262 cites W2587986375 @default.
• W3211444262 cites W2751959986 @default.
• W3211444262 cites W2758561236 @default.
• W3211444262 cites W2788364872 @default.
• W3211444262 cites W2791781902 @default.
• W3211444262 cites W2828476642 @default.
• W3211444262 cites W2899742633 @default.
• W3211444262 cites W2899773405 @default.
• W3211444262 cites W2918548227 @default.
• W3211444262 cites W2973447391 @default.
• W3211444262 cites W2980608708 @default.
• W3211444262 cites W2995850440 @default.
• W3211444262 cites W2998853022 @default.
• W3211444262 cites W3012236331 @default.
• W3211444262 cites W3015639048 @default.
• W3211444262 cites W3022571141 @default.
• W3211444262 cites W3026748200 @default.
• W3211444262 cites W3043862034 @default.
• W3211444262 cites W3044776476 @default.
• W3211444262 cites W3045806936 @default.
• W3211444262 cites W3135115065 @default.
• W3211444262 cites W3135461457 @default.
• W3211444262 doi "https://doi.org/10.1016/s2542-5196(21)00280-1" @default.
• W3211444262 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34774223" @default.
• W3211444262 hasPublicationYear "2021" @default.
• W3211444262 type Work @default.
• W3211444262 sameAs 3211444262 @default.
• W3211444262 citedByCount "204" @default.
• W3211444262 countsByYear W32114442622021 @default.
• W3211444262 countsByYear W32114442622022 @default.
• W3211444262 countsByYear W32114442622023 @default.
• W3211444262 crossrefType "journal-article" @default.
• W3211444262 hasAuthorship W3211444262A5006346036 @default.
• W3211444262 hasAuthorship W3211444262A5012870549 @default.
• W3211444262 hasAuthorship W3211444262A5019601440 @default.
• W3211444262 hasAuthorship W3211444262A5021643890 @default.
• W3211444262 hasAuthorship W3211444262A5022826765 @default.
• W3211444262 hasAuthorship W3211444262A5029126318 @default.
• W3211444262 hasAuthorship W3211444262A5031889135 @default.
• W3211444262 hasAuthorship W3211444262A5034097318 @default.
• W3211444262 hasAuthorship W3211444262A5052831600 @default.
• W3211444262 hasAuthorship W3211444262A5054517392 @default.
• W3211444262 hasAuthorship W3211444262A5057804886 @default.
• W3211444262 hasAuthorship W3211444262A5076154181 @default.
• W3211444262 hasAuthorship W3211444262A5078122621 @default.
• W3211444262 hasAuthorship W3211444262A5079914158 @default.
• W3211444262 hasAuthorship W3211444262A5083381486 @default.
• W3211444262 hasAuthorship W3211444262A5090839379 @default.
• W3211444262 hasBestOaLocation W32114442621 @default.
• W3211444262 hasConcept C121117317 @default.
• W3211444262 hasConcept C126322002 @default.
• W3211444262 hasConcept C138816342 @default.

• next