Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)

Abstract Background The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in th...

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Main Authors: Víctor Baselga-Moreno, Svetlana Trushakova, Shelly McNeil, Anna Sominina, Marta C. Nunes, Anca Draganescu, Serhat Unal, Parvaiz Koul, Jan Kyncl, Tao Zhang, Ainagul Kuatbayeva, Afif Ben-Salah, Elena Burtseva, Joan Puig-Barberà, Javier Díez-Domingo, for the Global Influenza Hospital Surveillance Network (GIHSN)
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-6713-5
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author Víctor Baselga-Moreno
Svetlana Trushakova
Shelly McNeil
Anna Sominina
Marta C. Nunes
Anca Draganescu
Serhat Unal
Parvaiz Koul
Jan Kyncl
Tao Zhang
Ainagul Kuatbayeva
Afif Ben-Salah
Elena Burtseva
Joan Puig-Barberà
Javier Díez-Domingo
for the Global Influenza Hospital Surveillance Network (GIHSN)
spellingShingle Víctor Baselga-Moreno
Svetlana Trushakova
Shelly McNeil
Anna Sominina
Marta C. Nunes
Anca Draganescu
Serhat Unal
Parvaiz Koul
Jan Kyncl
Tao Zhang
Ainagul Kuatbayeva
Afif Ben-Salah
Elena Burtseva
Joan Puig-Barberà
Javier Díez-Domingo
for the Global Influenza Hospital Surveillance Network (GIHSN)
Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
BMC Public Health
Influenza virus
Surveillance
Vaccine effectiveness
Epidemiology
author_facet Víctor Baselga-Moreno
Svetlana Trushakova
Shelly McNeil
Anna Sominina
Marta C. Nunes
Anca Draganescu
Serhat Unal
Parvaiz Koul
Jan Kyncl
Tao Zhang
Ainagul Kuatbayeva
Afif Ben-Salah
Elena Burtseva
Joan Puig-Barberà
Javier Díez-Domingo
for the Global Influenza Hospital Surveillance Network (GIHSN)
author_sort Víctor Baselga-Moreno
title Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
title_short Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
title_full Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
title_fullStr Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
title_full_unstemmed Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
title_sort influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the global influenza hospital surveillance network (gihsn)
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-05-01
description Abstract Background The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016–2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016–2017 influenza season. Methods A RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls. Results Among 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62–37.27. Vaccination seemed to confer better protection against influenza B and in people 2–4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59–5.76) comparing pregnant with non-pregnant women. Conclusions Vaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn’t allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.
topic Influenza virus
Surveillance
Vaccine effectiveness
Epidemiology
url http://link.springer.com/article/10.1186/s12889-019-6713-5
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spelling doaj-403fec2eb47949d88951ca1f77554ee02020-11-25T02:10:01ZengBMCBMC Public Health1471-24582019-05-0119112310.1186/s12889-019-6713-5Influenza epidemiology and influenza vaccine effectiveness during the 2016–2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)Víctor Baselga-Moreno0Svetlana Trushakova1Shelly McNeil2Anna Sominina3Marta C. Nunes4Anca Draganescu5Serhat Unal6Parvaiz Koul7Jan Kyncl8Tao Zhang9Ainagul Kuatbayeva10Afif Ben-Salah11Elena Burtseva12Joan Puig-Barberà13Javier Díez-Domingo14for the Global Influenza Hospital Surveillance Network (GIHSN)Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)Ivanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of HealthCanadian Center for Vaccinology, IWK Health Centre and Nova Scotia Health AuthorityResearch Institute of Influenza, WHO National Influenza Centre of RussiaMedical Research Council, Respiratory and Meningeal Pathogens Research Unit, University of the WitwatersrandNational Institute of Infectious Diseases “Prof. Dr. Matei Bals”, Bucharest (INBI “Prof. Dr. Matei Bals”)Turkish Society of Internal MedicineDepartment of Internal and Pulmonary Medicine, Sher-i-Kashmir Institute of Medical Sciences (SKIMS)National Institute of Public HealthFudan UniversityCenter for Sanitary-Epidemiological Expertise and MonitoringPasteur Institute of TunisIvanovsky Institute of Virology FSBI “N.F. Gamaleya FRCEM” Ministry of HealthFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)Abstract Background The Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016–2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016–2017 influenza season. Methods A RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30 days from other hospitalisation with symptoms onset within the 7 days prior to admission. Patients 5 years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE = (1-aOR) × 100, where aOR is the adjusted Odds Ratio comparing cases and controls. Results Among 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62–37.27. Vaccination seemed to confer better protection against influenza B and in people 2–4 years, or 85 years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59–5.76) comparing pregnant with non-pregnant women. Conclusions Vaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn’t allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.http://link.springer.com/article/10.1186/s12889-019-6713-5Influenza virusSurveillanceVaccine effectivenessEpidemiology