Literature DB >> 27288540

A theoretical estimate of the risk of microcephaly during pregnancy with Zika virus infection.

Hiroshi Nishiura1, Kenji Mizumoto2, Kat S Rock3, Yohei Yasuda4, Ryo Kinoshita5, Yuichiro Miyamatsu5.   

Abstract

OBJECTIVES: There has been a growing concern over Zika virus (ZIKV) infection, particularly since a probable link between ZIKV infection during pregnancy and microcephaly in the baby was identified. The present study aimed to estimate a theoretical risk of microcephaly during pregnancy with ZIKV infection in Northeastern Brazil in 2015.
METHODS: Temporal distributions of microcephaly, reported dengue-like illness and dengue seropositive in Brazil were extracted from secondary data sources. Using an integral equation model and a backcalculation technique, we estimated the risk of microcephaly during pregnancy with Zika virus infection.
RESULTS: If the fraction of Zika virus infections among a total of seronegative dengue-like illness cases is 30%, the risk of microcephaly following infection during the first trimester was estimated at 46.7% (95% CI: 9.1, 84.2), comparable to the risk of congenital rubella syndrome. However, the risk of microcephaly was shown to vary widely from 14.0% to 100%. The mean gestational age at delivery with microcephaly was estimated at 37.5 weeks (95% CI: 36.9, 39.3).
CONCLUSIONS: The time interval between peaks of reported dengue-like illness and microcephaly was consistent with cause-outcome relationship. Our modeling framework predicts that the incidence of microcephaly is expected to steadily decline in early 2016, Brazil.
Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brazil; Gestation; Microcephaly; Statistical estimation; Zika infection

Mesh:

Year:  2016        PMID: 27288540     DOI: 10.1016/j.epidem.2016.03.001

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  13 in total

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Authors:  Harvard Zhenjia Lin; Paul Anantharajah Tambyah; Eu Leong Yong; Arijit Biswas; Shiao-Yng Chan
Journal:  Singapore Med J       Date:  2017-04       Impact factor: 1.858

Review 2.  Zika virus infection and pregnancy: what we do and do not know.

Authors:  Carlo Ticconi; Adalgisa Pietropolli; Giovanni Rezza
Journal:  Pathog Glob Health       Date:  2016-09-30       Impact factor: 2.894

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Authors:  Lindsay T Keegan; Justin Lessler; Michael A Johansson
Journal:  J Infect Dis       Date:  2017-12-16       Impact factor: 5.226

4.  Modeling the transmission and control of Zika in Brazil.

Authors:  Liping Wang; Hongyong Zhao; Sergio Muniz Oliva; Huaiping Zhu
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

5.  Blocking Zika virus vertical transmission.

Authors:  Pinar Mesci; Angela Macia; Spencer M Moore; Sergey A Shiryaev; Antonella Pinto; Chun-Teng Huang; Leon Tejwani; Isabella R Fernandes; Nicole A Suarez; Matthew J Kolar; Sandro Montefusco; Scott C Rosenberg; Roberto H Herai; Fernanda R Cugola; Fabiele B Russo; Nicholas Sheets; Alan Saghatelian; Sujan Shresta; Jeremiah D Momper; Jair L Siqueira-Neto; Kevin D Corbett; Patricia C B Beltrão-Braga; Alexey V Terskikh; Alysson R Muotri
Journal:  Sci Rep       Date:  2018-01-19       Impact factor: 4.379

Review 6.  Vaccines for emerging infectious diseases: Lessons from MERS coronavirus and Zika virus.

Authors:  Joel N Maslow
Journal:  Hum Vaccin Immunother       Date:  2017-08-28       Impact factor: 3.452

7.  Intrauterine Zika virus infection of pregnant immunocompetent mice models transplacental transmission and adverse perinatal outcomes.

Authors:  Meghan S Vermillion; Jun Lei; Yahya Shabi; Victoria K Baxter; Nathan P Crilly; Michael McLane; Diane E Griffin; Andrew Pekosz; Sabra L Klein; Irina Burd
Journal:  Nat Commun       Date:  2017-02-21       Impact factor: 14.919

8.  An outbreak vector-host epidemic model with spatial structure: the 2015-2016 Zika outbreak in Rio De Janeiro.

Authors:  W E Fitzgibbon; J J Morgan; G F Webb
Journal:  Theor Biol Med Model       Date:  2017-03-27       Impact factor: 2.432

9.  Estimating risks of importation and local transmission of Zika virus infection.

Authors:  Kyeongah Nah; Kenji Mizumoto; Yuichiro Miyamatsu; Yohei Yasuda; Ryo Kinoshita; Hiroshi Nishiura
Journal:  PeerJ       Date:  2016-04-05       Impact factor: 2.984

10.  Predicting the international spread of Middle East respiratory syndrome (MERS).

Authors:  Kyeongah Nah; Shiori Otsuki; Gerardo Chowell; Hiroshi Nishiura
Journal:  BMC Infect Dis       Date:  2016-07-22       Impact factor: 3.090

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