Outbreaks of mumps genotype G viruses in the Netherlands between October 2019 and March 2020: clusters associated

Anita A Shah1,2, Rogier Bodewes3, Linda Reijnen3

  • 1Center for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, The Netherlands. anita.shah@rivm.nl.

BMC Infectious Diseases
|October 5, 2021
PubMed
Abstract

Insights

Investigating mumps virus transmission in the Netherlands revealed ongoing spread from multiple introductions. Combining epidemiological and molecular data enhances outbreak detection and control strategies for mumps.

Area of Science:

  • Epidemiology
  • Virology
  • Public Health

Background:

  • Several mumps (Mumps Rubulavirus) clusters occurred in the Netherlands between October 2019 and March 2020.
  • Understanding transmission patterns is crucial for effective outbreak response.

Purpose of the Study:

  • To describe mumps virus transmission during identified clusters using combined epidemiological and molecular data.
  • To inform future mumps outbreak investigation and control efforts.

Main Methods:

  • Defined epidemiological clusters (≥2 linked cases) and molecular groups (≥2 identical sequences).
  • Analyzed notified mumps cases (Oct 2019–Mar 2020) from the National Notifiable Diseases Surveillance System.
  • Obtained and analyzed mumps virus sequence data (2270 nucleotides) to investigate transmission links.

Main Results:

  • 102 mumps cases were reported; 71 were part of epidemiological clusters or molecular groups.
  • Epidemiological data identified 14 clusters (46 cases); molecular surveillance identified 12 groups (43 cases).
  • Combined data linked seven epidemiological clusters into two distinct molecular groups, indicating prolonged transmission.

Conclusions:

  • Combined epidemiological and molecular data reveal sustained mumps virus transmission from multiple introductions.
  • Timely integration of sequence analysis and epidemiological data improves mumps outbreak detection and control.
  • Molecular insights into epidemiological clustering are vital for guiding public health interventions.