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Impact of Birth Seasonality on Dynamics of Acute Immunizing Infections in Sub-Saharan Africa

Overview of attention for article published in PLOS ONE, October 2013
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Title
Impact of Birth Seasonality on Dynamics of Acute Immunizing Infections in Sub-Saharan Africa
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0075806
Pubmed ID
Authors

Audrey M. Dorélien, Sebastien Ballesteros, Bryan T. Grenfell

Abstract

We analyze the impact of birth seasonality (seasonal oscillations in the birth rate) on the dynamics of acute, immunizing childhood infectious diseases. Previous research has explored the effect of human birth seasonality on infectious disease dynamics using parameters appropriate for the developed world. We build on this work by including in our analysis an extended range of baseline birth rates and amplitudes, which correspond to developing world settings. Additionally, our analysis accounts for seasonal forcing both in births and contact rates. We focus in particular on the dynamics of measles. In the absence of seasonal transmission rates or stochastic forcing, for typical measles epidemiological parameters, birth seasonality induces either annual or biennial epidemics. Changes in the magnitude of the birth fluctuations (birth amplitude) can induce significant changes in the size of the epidemic peaks, but have little impact on timing of disease epidemics within the year. In contrast, changes to the birth seasonality phase (location of the peak in birth amplitude within the year) significantly influence the timing of the epidemics. In the presence of seasonality in contact rates, at relatively low birth rates (20 per 1000), birth amplitude has little impact on the dynamics but does have an impact on the magnitude and timing of the epidemics. However, as the mean birth rate increases, both birth amplitude and phase play an important role in driving the dynamics of the epidemic. There are stronger effects at higher birth rates.

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Geographical breakdown

Country Count As %
United States 2 5%
Ethiopia 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Researcher 9 23%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Professor > Associate Professor 3 8%
Other 9 23%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 20%
Medicine and Dentistry 8 20%
Social Sciences 7 18%
Mathematics 3 8%
Environmental Science 2 5%
Other 8 20%
Unknown 4 10%