Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/112094
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Type: Journal article
Title: Epidemiology of seasonal influenza infection in pregnant women and its impact on birth outcomes
Author: Regan, A.
Moore, H.
Sullivan, S.
De Klerk, N.
Effler, P.
Citation: Epidemiology and Infection, 2017; 145(14):2930-2939
Publisher: Cambridge University Press
Issue Date: 2017
ISSN: 0950-2688
1469-4409
Statement of
Responsibility: 
A. K. Regan, H. C. Moore, S. G. Sullivan, N. De Klerk and P. V. Effler
Abstract: Seasonal influenza can cause significant morbidity in pregnant women. Much of the existing epidemiological evidence on influenza during pregnancy has focused on the 2009 A/H1N1 pandemic. To measure the epidemiological characteristics of seasonal influenza infection among pregnant women and the impact on infant health, a cohort of 86 779 pregnancies during the influenza season (2012-2014) was established using probabilistic linkage of notifiable infectious disease, hospital admission, and birth information. A total of 192 laboratory-confirmed influenza infections were identified (2·2 per 1000 pregnancies), 14·6% of which were admitted to hospital. There was no difference in the proportion of infections admitted to hospital by trimester or subtype of infection. Influenza B infections were more likely to occur in second trimester compared with influenza A/H3N2 and influenza A/H1N1 infections (41·3%, 23·6%, and 33·3%, respectively), and on average, infants born to women with influenza B during pregnancy had 4·0% (95% CI 0·3-7·6%) lower birth weight relative to optimal compared with infants born to uninfected women (P = 0·03). Results from this linked population-based study suggest that there are differences in maternal infection by virus type and subtype and support the provision of seasonal influenza vaccine to pregnant women.
Keywords: Epidemiology; infant health; influenza A virus; influenza B virus; pregnant women
Description: First published online 11 September 2017
Rights: © Cambridge University Press 2017
DOI: 10.1017/S0950268817001972
Grant ID: http://purl.org/au-research/grants/nhmrc/1034254
Published version: http://dx.doi.org/10.1017/s0950268817001972
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