Optimizing infectious disease control: how to detect hidden infections?

Research output: ThesisDoctoral ThesisExternal prepared

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Abstract

The studies in this dissertation aim to identify hidden infections and evaluate the prevention, surveillance and infectious disease control policies currently in place. This is illustrated with studies on pertussis and hepatitis. Several methods are used to identify hidden infections. This dissertation reveals that the notification period is a valuable tool to identify the different levels and influential factors involved in combating infectious diseases. Epidemiological and geographical analyses help to identify high-risk groups and estimate the prevalence of hidden infections. However, there is no one-size-fits-all approach to all infectious diseases. This dissertation also demonstrates the importance of testing models and estimates in practice. The results were shared with general practitioners, laboratories, health institutes and the Netherlands' National Institute for Public Health (RIVM). Our recommendations were included in the national guideline drafted by the Health Council and were applied in practice.
Original languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Hoebe, Christian, Supervisor
  • Cals, Jochen, Supervisor
  • Dukers, Nicole, Advisor
Award date25 Oct 2018
Place of PublicationMaastricht
Publisher
Print ISBNs9789086664573
DOIs
Publication statusPublished - 2018

Keywords

  • hidden infections
  • pertussis
  • hepatitis

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