Seasonality and comparative dynamics of six childhood infections in pre-vaccination Copenhagen

C Jessica E Metcalf1, Ottar N Bjørnstad, Bryan T Grenfell

  • 1Centre for Infectious Disease Dynamics, The Pennsylvania State University, 208 Mueller Laboratory, University Park, PA 16802, USA. cjm53@psu.edu

Insights

School holidays impact childhood infection seasonality, but term-time forcing isn't the sole driver for all diseases. Waning immunity and late summer surges in bacterial infections also play significant roles.

Area of Science:

  • Epidemiology
  • Infectious Disease Dynamics
  • Public Health

Background:

  • Seasonal variation significantly influences the epidemic dynamics of acute infections.
  • Measles, a well-understood childhood infection, is often perceived to be driven by school terms in developed countries.
  • The extent to which school terms drive seasonality in other childhood infections is not well-established.

Purpose of the Study:

  • To investigate seasonal transmission patterns of six childhood infections, including measles.
  • To determine the role of school terms versus other factors in driving infection seasonality.
  • To analyze the relationship between the mean age of infection and school enrollment ages.

Main Methods:

  • Utilized a unique long-term dataset tracking weekly incidence of six infections.
  • Analyzed age-incidence data to calculate the mean age of infection for each disease.
  • Compared seasonal transmission patterns with school holiday schedules and theoretical predictions.

Main Results:

  • Observed correlations between reduced transmission and school holidays for some infections, but also noted discrepancies.
  • Found that the average age of infection closely matched school enrollment ages, yet seasonality drivers were complex.
  • Theoretical models predicting seasonality amplitude based on basic reproductive rate and term-time forcing were not consistently supported.
  • Identified a significant late summer transmission increase for pertussis, scarlet fever, and diphtheria, preceding school vacations.

Conclusions:

  • Seasonal patterns in childhood infections are unlikely to be solely driven by school terms, especially when susceptible populations fluctuate due to factors like waning immunity.
  • Other drivers, including late summer transmission surges in bacterial infections, contribute to the overall seasonality of disease spread.

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