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Estimating influenza disease burden among pregnant women: Application of self-control method.

Authors :
Ohfuji S
Deguchi M
Tachibana D
Koyama M
Takagi T
Yoshioka T
Urae A
Fukushima W
Hirota Y
Source :
Vaccine [Vaccine] 2017 Aug 24; Vol. 35 (36), pp. 4811-4816.
Publication Year :
2017

Abstract

To evaluate influenza disease burden among pregnant women, an epidemiological study using the self-control method was conducted. Study subjects were 12,838 pregnant women who visited collaborating maternity hospitals and clinics in Osaka Prefecture, Japan, before the 2013/14 influenza season. As a study outcome, hospitalization due to respiratory illnesses between the 2010/11 and 2013/14 seasons was collected from each study subject through a baseline survey at the time of recruitment and a second survey after the 2013/14 season. The hospitalization rates during pregnancy and non-pregnancy periods was calculated separately. To compare the hospitalization rate during pregnancy with that during non-pregnancy within the same single study subject, Mantel-Haenzel rate ratios (RR <subscript>MH</subscript> ) were calculated. During the four seasons examined in this study, nine and 17 subjects were hospitalized due to respiratory illnesses during pregnancy and non-pregnancy periods, respectively. The hospitalization rate was 2.54 per 10,000 woman-months during pregnancy and 1.08 per 10,000 woman-months during non-pregnancy. The RR <subscript>MH</subscript> for the hospitalization rate during pregnancy compared with that during non-pregnancy was 4.30 (95% confidence interval, 1.96-9.41). Our results suggest that during the influenza season, pregnant women have a higher risk than non-pregnant women for hospitalization due to respiratory illnesses. The self-control method appears to be an appropriate epidemiological method for evaluating the disease burden of influenza among pregnant women.<br /> (Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
1873-2518
Volume :
35
Issue :
36
Database :
MEDLINE
Journal :
Vaccine
Publication Type :
Academic Journal
Accession number :
28818474
Full Text :
https://doi.org/10.1016/j.vaccine.2017.07.006