Koen B. Pouwels

Oct 10, 2024 | nature.com | Karina-Doris Vihta |Koen B. Pouwels |Rebecca Guy |Katherine Henderson |Russell Hope |David A Clifton

AbstractPredicting antimicrobial resistance (AMR), a top global health threat, nationwide at an aggregate hospital level could help target interventions. Using machine learning, we exploit historical AMR and antimicrobial usage to predict future AMR. Antimicrobial use and AMR prevalence in bloodstream infections in hospitals in England were obtained per hospital group (Trust) and financial year (FY, April–March) for 22 pathogen–antibiotic combinations (FY2016-2017 to FY2021-2022).

Jun 24, 2024 | nature.com | Koen B. Pouwels |David Eyre |Thomas House |Nicole Stoesser |John Newton |Brian D. Marsden | +1 more

AbstractPopulation-representative estimates of SARS-CoV-2 infection prevalence and antibody levels in specific geographic areas at different time points are needed to optimise policy responses. However, even population-wide surveys are potentially impacted by biases arising from differences in participation rates across key groups.

May 25, 2024 | nature.com | Liz Morrell |Amanda Adler |Mark Jit |Koen B. Pouwels

AbstractBacteria are becoming increasingly resistant to antibiotics, reducing our ability to treat infections and threatening to undermine modern health care. Optimising antibiotic use is a key element in tackling the problem. Traditional economic evaluation methods do not capture many of the benefits from improved antibiotic use and the potential impact on resistance.

Feb 1, 2024 | nature.com | Jia Wei |Nicole Stoesser |Koen B. Pouwels |David Eyre

AbstractSARS-CoV-2 reinfections increased substantially after Omicron variants emerged. Large-scale community-based comparisons across multiple Omicron waves of reinfection characteristics, risk factors, and protection afforded by previous infection and vaccination, are limited.

Mar 22, 2023 | medrxiv.org | Daniel Ayoubkhani |Francesco Zaccardi |Koen B. Pouwels |A. Sarah Walker

AbstractBackground Evidence on the long-term employment consequences of SARS-CoV-2 infection is lacking. We used data from a large, community-based sample in the UK to estimate associations between Long Covid and subsequent employment outcomes. Methods This was an observational, longitudinal study using a pre-post design.