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Published on: August 7, 2017
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
Abstract:
Seasonal variation in infection transmission is a key determinant of epidemic dynamics of acute infections. For measles, the best-understood strongly immunizing directly transmitted childhood infection, the perception is that term-time forcing is the main driver of seasonality in developed countries. The degree to which this holds true across other acute immunizing childhood infections is not clear. Here, we identify seasonal transmission patterns using a unique long-term dataset with weekly incidence of six infections including measles. Data on age-incidence allow us to quantify the mean age of infection. Results indicate correspondence between dips in transmission and school holidays for some infections, but there are puzzling discrepancies, despite close correspondence between average age of infection and age of schooling. Theoretical predictions of the relationship between amplitude of seasonality and basic reproductive rate of infections that should result from term-time forcing are also not upheld. We conclude that where yearly trajectories of susceptible numbers are perturbed, e.g. via waning of immunity, seasonality is unlikely to be entirely driven by term-time forcing. For the three bacterial infections, pertussis, scarlet fever and diphtheria, there is additionally a strong increase in transmission during the late summer before the end of school vacations.
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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