RIVM Publications Repository

Recent Submissions

  • Publication
    The FAIR principles as a key enabler to operationalize safe and sustainable by design approaches
    (2024-09-24) Karakoltzidis, Achilleas; Battistelli, Chiara Laura; Bossa, Cecilia; Bouman, Evert A; Garmendia Aguirre, Irantzu; Soeteman-Hernández, Lya G; et al.
  • Publication
    Uncertainty, risk and the Dutch energy transition. A commentary
    (2024-06-03) Jansen, Tom; Claassen, Liesbeth; Boomsma, Christine
  • Publication
    Assessing COVID-19 transmission through school and family networks using population-level registry data from the Netherlands
    (2024-12-28) Garcia-Bernardo, Javier; Hedde-von Westernhagen, Christine; Emery, Tom; van Hoek, Albert Jan
    Understanding the impact of different types of social interactions is key to improving epidemic models. Here, we use extensive registry data-including PCR test results and population-level networks-to investigate the impact of school, family, and other social contacts on SARS-CoV-2 transmission in the Netherlands (June 2020-October 2021). We isolate and compare different contexts of potential SARS-CoV-2 transmission by matching pairs of students based on their attendance at the same or different primary school (in 2020) and secondary school (in 2021) and their geographic proximity. We then calculate the probability of temporally associated infections-i.e. the probability of both students testing positive within a 14-day period. Our results highlight the relative importance of household and family transmission in the spread of SARS-CoV-2 compared to school settings. The probability of temporally associated infections for siblings and parent-child pairs living in the same household ranged from 22.6-23.2%. Interestingly, a high probability (4.7-7.9%) was found even when family members lived in different households, underscoring the persistent risk of transmission within family networks. In contrast, the probability of temporally associated infections was 0.52% for pairs of students living nearby but not attending the same primary or secondary school, 0.66% for pairs attending different secondary schools but having attended the same primary school, and 1.65% for pairs attending the same secondary school. It is worth noting, however, that even small increases in school-related infection probabilities can trigger large-scale outbreaks due to the dense network of interactions in these settings. Finally, we used multilevel regression analyses to examine how individual, school, and geographic factors contribute to transmission risk. We found that the largest differences in transmission probabilities were due to unobserved individual (60%) and school-level (35%) factors. Only a small proportion (3%) could be attributed to geographic proximity of students or to school size, denomination, or the median income of the school area.
  • Publication
    Factors associated with patients' demand for low-value care: a scoping review.
    (2024-12-28) Fraser, Gillroy RL; Lambooij, Mattijs S; van Exel, Job; Ostelo, Raymond WJG; van Harreveld, Frenk; de Wit, G Ardine
    Low-value care is unnecessary care that contributes to inefficient use of health resources and constitutes a considerable proportion of healthcare expenditures worldwide. Factors contributing to patients' demand for low-value care have often been overlooked and are dispersed in the literature. Therefore, the current study aimed to systematically summarize factors associated with patients' demand for low-value care.
  • Publication
    Reusing routine electronic health record data for nationwide COVID-19 surveillance in nursing homes: barriers, facilitators, and lessons learned.
    (2024-12-27) Wieland-Jorna, Y; Verheij, RA; Francke, AL; Coppen, R; de Greeff, SC; Elffers, A; Oosterveld-Vlug, MG
    At the beginning of the COVID-19 pandemic in 2020, little was known about the spread of COVID-19 in Dutch nursing homes while older people were particularly at risk of severe symptoms. Therefore, attempts were made to develop a nationwide COVID-19 repository based on routinely recorded data in the electronic health records (EHRs) of nursing home residents. This study aims to describe the facilitators and barriers encountered during the development of the repository and the lessons learned regarding the reuse of EHR data for surveillance and research purposes.

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