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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
4 articles
Newest firstBackgroundIncreasing Watch-group antibiotic use may be contributing to antimicrobial resistance burden in sub-Saharan Africa. We evaluated the effect of a community-based, co-created intervention bundle targeting all community-level healthcare providers and communities they serve, on Watch-group antibiotic use and patient management. MethodsIn a cluster-randomised, controlled trial in Burkina Faso (BF) and Democra…
Open article record in new tab ↗SynopsisO_ST_ABSBackgroundC_ST_ABSBenchmarking antibiotic use across different healthcare sectors is crucial to improve use and implement the UNGA 70% Access target. Many countries only have available aggregate sales data, which do not have sector-specific usage information. The objective of this study is to estimate the proportion of oral antibiotic use across different healthcare sectors. Materials/methodsWe use…
Open article record in new tab ↗BackgroundSARS-CoV-2 spreads in hospitals, but the contribution of these settings to the overall COVID-19 burden at a national level is unknown. MethodsWe used comprehensive national English datasets and simulation modelling to determine the total burden (identified and unidentified) of symptomatic hospital-acquired infections. Those unidentified would either be 1) discharged before symptom onset ("missed"), or 2)…
Open article record in new tab ↗Healthcare-associated infection and antimicrobial resistance are major concerns. However, the extent to which antibiotic exposure affects transmission and detection of infections such as MRSA is unclear. Additionally, temporal trends are typically reported in terms of changes in incidence, rather than analysing underling transmission processes. We present a data-augmented Markov chain Monte Carlo approach for infe…
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