Impact of birth seasonality on dynamics of acute immunizing infections in Sub-Saharan Africa

Audrey M Dorélien1, Sebastien Ballesteros, Bryan T Grenfell

  • 1Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor, Michigan, United States of America.

Plos One
|November 9, 2013
PubMed

Insights

Birth seasonality significantly impacts childhood infectious disease epidemics, particularly measles. Changes in birth timing and rates influence epidemic timing and size, especially in developing countries with higher birth rates.

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Public Health

Background:

  • Previous studies on birth seasonality and infectious diseases primarily used parameters from developed countries.
  • Childhood infectious diseases like measles exhibit complex dynamics influenced by population-level factors.

Purpose of the Study:

  • To analyze the impact of birth seasonality on the dynamics of acute, immunizing childhood infectious diseases.
  • To extend previous research by incorporating parameters relevant to developing world settings, including higher birth rates and amplitudes.
  • To investigate the influence of seasonal forcing in both births and contact rates.

Main Methods:

  • Mathematical modeling of infectious disease dynamics.
  • Simulation analysis incorporating varying birth rates, birth amplitudes, and seasonal forcing in contact rates.
  • Focus on measles as a case study.

Main Results:

  • In the absence of seasonal transmission or stochastic forcing, birth seasonality can lead to annual or biennial measles epidemics.
  • Birth amplitude significantly affects epidemic peak sizes but has minimal impact on epidemic timing.
  • Birth seasonality phase strongly influences the timing of epidemics.
  • Seasonality in contact rates amplifies the effects of birth amplitude and phase, particularly at higher mean birth rates.

Conclusions:

  • Birth seasonality is a critical factor in shaping the dynamics of childhood infectious diseases, especially in high-fertility settings.
  • Understanding the interplay between birth patterns and contact rate seasonality is crucial for predicting and controlling disease outbreaks.
  • Interventions targeting infectious diseases should consider demographic factors like birth seasonality, particularly in developing nations.

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