Social mixing and time use throughout the year: Potential changes in disease transmission and age distribution of

Edwin Van Leeuwen1, Frank G Sandmann1, Rosalind M Eggo2

  • 1Statistics, Modelling and Economics Department, UK Health Security Agency, London, UK; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.

PubMed

Insights

Children's susceptibility to respiratory viruses like influenza impacts transmission dynamics. Holiday contact changes can shift infections from children to adults, potentially increasing risk for vulnerable older populations.

Area of Science:

  • Epidemiology
  • Virology
  • Mathematical Modeling

Background:

  • Children's varying susceptibility to respiratory viruses influences transmission heterogeneity.
  • Natural immunity in adults can alter age-specific disease incidence patterns.

Purpose of the Study:

  • To model the impact of seasonal changes in social mixing on respiratory virus transmission.
  • To investigate how varying childhood susceptibility affects epidemic dynamics and age distribution of infections.

Main Methods:

  • Utilized age-stratified contact rates from national surveys to model time use and social mixing.
  • Developed a model to explore changes in reproduction number (R0) and incidence distribution.
  • Simulated scenarios with different assumptions of susceptibility in children (0-15 years).

Main Results:

  • Seasonal time use changes influenced R0 and the age distribution of respiratory infections.
  • During holidays, R0 decreased and incidence shifted from children to adults when adults had natural immunity.
  • Reduced childhood susceptibility lessened the impact of holiday contact changes on age distribution.

Conclusions:

  • Holiday periods can alter the age distribution of respiratory infections, shifting cases from children to adults.
  • Increased intergenerational mixing during holidays may pose risks to older, more vulnerable populations.
  • Childhood susceptibility is a critical factor in understanding and managing respiratory virus epidemics.

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