Publications by authors named "Wouter A Hetebrij"

Since the start of the COVID-19 pandemic in 2020, wastewater surveillance programs were established, or upscaled, in many countries around the world and have proven to be a cost-effective way of monitoring infectious disease pathogens. Many of these programs use RT-qPCR, and quantify the viral concentrations in samples based on standard curves, by including preparations of a reference material with known nucleic acid or virus concentrations in the RT-qPCR analyses. In high-throughput monitoring programs it is possible to combine data from multiple previous runs, circumventing the need for duplication and resulting in decreased costs and prolonged periods during which the reference material is obtained from the same batch.

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Wastewater-based surveillance enables tracking of SARS-CoV-2 circulation at a local scale in near-real time. Here we investigate the relation between virus loads and the number of hospital admissions in the Netherlands. Inferred virus loads from August 2020 until February 2022 in each of the 344 Dutch municipalities are analysed in a Bayesian multilevel Poisson regression to relate virus loads to daily age-stratified (in groups of 20 years) hospital admissions.

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Article Synopsis
  • Surveillance of SARS-CoV-2 in wastewater can track the virus's spread in real-time across local areas, but individual sewage measurements can fluctuate significantly and may not always capture the complete picture.
  • A study in the Netherlands implemented a sophisticated model to analyze sewage data from over 300 treatment plants, covering nearly all of the population, allowing for accurate estimation of virus loads over time.
  • The approach successfully monitored variations in local virus loads during the pandemic, showing significant differences between locations and providing insight into epidemic trends despite daily data variability.
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