Influenza epidemiology and influenza vaccine effectiveness during the 2016-2017 season in the Global Influenza Hospital Surveillance Network (GIHSN)
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články
PubMed
31046725
PubMed Central
PMC6498567
DOI
10.1186/s12889-019-6713-5
PII: 10.1186/s12889-019-6713-5
Knihovny.cz E-zdroje
- Klíčová slova
- Epidemiology, Influenza virus, Surveillance, Vaccine effectiveness,
- MeSH
- celosvětové zdraví MeSH
- chřipka lidská epidemiologie prevence a kontrola MeSH
- dítě MeSH
- dospělí MeSH
- hospitalizace statistika a číselné údaje MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- předškolní dítě MeSH
- roční období MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- sentinelová surveillance * MeSH
- těhotenství MeSH
- vakcinace statistika a číselné údaje MeSH
- vakcíny proti chřipce imunologie terapeutické užití MeSH
- virus chřipky A, podtyp H1N1 imunologie MeSH
- virus chřipky A, podtyp H3N2 imunologie MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- vakcíny proti chřipce MeSH
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.
Canadian Center for Vaccinology IWK Health Centre and Nova Scotia Health Authority Halifax Canada
Center for Sanitary Epidemiological Expertise and Monitoring Almaty Kazakhstan
College of Medicine and Medical Sciences Manama Bahrain
Fudan University Shanghai China
Ivanovsky Institute of Virology FSBI N F Gamaleya FRCEM Ministry of Health Moscow Russian Federation
National Institute of Infectious Diseases Prof Dr Matei Bals Bucharest București Romania
National Institute of Public Health Prague Czech Republic
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