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Kovacs N, Piko P, Juhasz A, Nagy C, Oroszi B, Ungvari Z, Adany R. Comparative analysis of health status and health service utilization patterns among rural and urban elderly populations in Hungary: a study on the challenges of unhealthy aging. GeroScience 2024; 46:2017-2031. [PMID: 37798385 PMCID: PMC10828334 DOI: 10.1007/s11357-023-00926-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 08/27/2023] [Indexed: 10/07/2023] Open
Abstract
The demographic transition poses a significant challenge for health systems, especially in Central and Eastern European (CEE) countries, where the healthcare needs of aging populations are on the rise. This study aimed to describe and compare the health status and utilization of health services among the elderly residing in urban and rural areas of the most deprived region in Hungary. A comprehensive health survey was conducted in 2022, involving a randomly selected sample of 443 older adults (≥ 65 years) in Northeast Hungary. Multivariable logistic regression models adjusting for age, sex, education, financial status, chronic diseases, and activity limitations were used to investigate the association between type of residence and health service use. Among the study participants, 62.3% were female, 38.3% attained primary education, 12.5% reported a bad or very bad financial situation and 52.6% lived in urban areas. Overall, 24% of the elderly rated their health as very good or good (27.8% in urban and 19.7% in rural areas), while 57.8% (52.6% and 63.5% in urban and rural areas) reported limitations in daily activities. Compared to urban residents, rural residents reported lower rates of dentist visits (p = 0.006), specialist visits (p = 0.028), faecal occult blood testing (p < 0.001), colorectal cancer screening with colonoscopy (p = 0.014), and breast cancer screening (p = 0.035), and a higher rate of blood pressure measurement (p = 0.042). Multivariable models indicated that urban residence was positively associated with faecal occult blood testing (OR = 2.32, p = 0.014), but negatively associated with blood pressure (OR = 0.42, p = 0.017) and blood glucose measurements (OR = 0.48, p = 0.009). These findings highlight the influence of residence on health service utilization among older adults in Hungary. Further comprehensive studies are needed to better understand the health needs of the elderly population and to develop policies aimed at promoting healthy aging in CEE countries.
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Affiliation(s)
- Nora Kovacs
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Peter Piko
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary
| | - Attila Juhasz
- Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary
| | - Csilla Nagy
- Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary
| | - Beatrix Oroszi
- Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary
| | - Zoltan Ungvari
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine, Departments of Public Health and Translational Medicine, Semmelweis University, Budapest, Hungary
- The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Roza Adany
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
- ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
- Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary.
- Department of Public Health, Semmelweis University, Budapest, Hungary.
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Lanièce Delaunay C, Martínez-Baz I, Sève N, Domegan L, Mazagatos C, Buda S, Meijer A, Kislaya I, Pascu C, Carnahan A, Oroszi B, Ilić M, Maurel M, Melo A, Sandonis Martín V, Trobajo-Sanmartín C, Enouf V, McKenna A, Pérez-Gimeno G, Goerlitz L, de Lange M, Rodrigues AP, Lazar M, Latorre-Margalef N, Túri G, Castilla J, Falchi A, Bennett C, Gallardo V, Dürrwald R, Eggink D, Guiomar R, Popescu R, Riess M, Horváth JK, Casado I, García MDC, Hooiveld M, Machado A, Bacci S, Kaczmarek M, Kissling E. COVID-19 vaccine effectiveness against symptomatic infection with SARS-CoV-2 BA.1/BA.2 lineages among adults and adolescents in a multicentre primary care study, Europe, December 2021 to June 2022. Euro Surveill 2024; 29:2300403. [PMID: 38551095 PMCID: PMC10979526 DOI: 10.2807/1560-7917.es.2024.29.13.2300403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 12/14/2023] [Indexed: 04/01/2024] Open
Abstract
BackgroundScarce European data in early 2021 suggested lower vaccine effectiveness (VE) against SARS-CoV-2 Omicron lineages than previous variants.AimWe aimed to estimate primary series (PS) and first booster VE against symptomatic BA.1/BA.2 infection and investigate potential biases.MethodsThis European test-negative multicentre study tested primary care patients with acute respiratory symptoms for SARS-CoV-2 in the BA.1/BA.2-dominant period. We estimated PS and booster VE among adults and adolescents (PS only) for all products combined and for Comirnaty alone, by time since vaccination, age and chronic condition. We investigated potential bias due to correlation between COVID-19 and influenza vaccination and explored effect modification and confounding by prior SARS-CoV-2 infection.ResultsAmong adults, PS VE was 37% (95% CI: 24-47%) overall and 60% (95% CI: 44-72%), 43% (95% CI: 26-55%) and 29% (95% CI: 13-43%) < 90, 90-179 and ≥ 180 days post vaccination, respectively. Booster VE was 42% (95% CI: 32-51%) overall and 56% (95% CI: 47-64%), 22% (95% CI: 2-38%) and 3% (95% CI: -78% to 48%), respectively. Primary series VE was similar among adolescents. Restricting analyses to Comirnaty had little impact. Vaccine effectiveness was higher among older adults. There was no signal of bias due to correlation between COVID-19 and influenza vaccination. Confounding by previous infection was low, but sample size precluded definite assessment of effect modification.ConclusionPrimary series and booster VE against symptomatic infection with BA.1/BA.2 ranged from 37% to 42%, with similar waning post vaccination. Comprehensive data on previous SARS-CoV-2 infection would help disentangle vaccine- and infection-induced immunity.
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Affiliation(s)
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Noémie Sève
- Sorbonne Université, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France
| | - Lisa Domegan
- Health Protection Surveillance Centre, Dublin, Ireland
| | - Clara Mazagatos
- National Centre of Epidemiology, CIBERESP, Carlos III Health Institute, Madrid, Spain
| | - Silke Buda
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Irina Kislaya
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Catalina Pascu
- Cantacuzino National Military Medical Institute for Research and Development, Bucharest, Romania
| | | | - Beatrix Oroszi
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Maja Ilić
- Croatian Institute of Public Health (CIPH), Zagreb, Croatia
| | | | - Aryse Melo
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | | | - Camino Trobajo-Sanmartín
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Vincent Enouf
- Institut Pasteur, Pasteur International Bioresources network (PIBnet), Plateforme de Microbiologie Mutualisée (P2M), Paris, France
- Institut Pasteur, Centre National de Référence Virus des Infections Respiratoires (CNR VIR), Paris, France
| | - Adele McKenna
- Health Protection Surveillance Centre, Dublin, Ireland
| | - Gloria Pérez-Gimeno
- National Centre of Epidemiology, CIBERESP, Carlos III Health Institute, Madrid, Spain
| | - Luise Goerlitz
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Marit de Lange
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | | | - Mihaela Lazar
- Cantacuzino National Military Medical Institute for Research and Development, Bucharest, Romania
| | | | - Gergő Túri
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - Charlene Bennett
- National Virus Reference Laboratory, University College Dublin, Dublin, Ireland
| | - Virtudes Gallardo
- Dirección General de Salud Pública y Ordenación Farmacéutica, Junta de Andalucía, Sevilla, Spain
| | - Ralf Dürrwald
- National Reference Centre for Influenza, Robert Koch Institute, Berlin, Germany
| | - Dirk Eggink
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Raquel Guiomar
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | | | | | - Judit Krisztina Horváth
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Itziar Casado
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mª Del Carmen García
- Subdirección de Epidemiología, Dirección General de Salud Pública, Servicio Extremeño de Salud, Mérida, Spain
| | | | - Ausenda Machado
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
| | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Marlena Kaczmarek
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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Maurel M, Howard J, Kissling E, Pozo F, Pérez-Gimeno G, Buda S, Sève N, McKenna A, Meijer A, Rodrigues AP, Martínez-Baz I, Mlinarić I, Latorre-Margalef N, Túri G, Lazăr M, Mazagatos C, Echeverria A, Abela S, Bourgeois M, Machado A, Dürrwald R, Petrović G, Oroszi B, Jancoriene L, Marin A, Husa P, Duffy R, Dijkstra F, Gallardo García V, Goerlitz L, Enouf V, Bennett C, Hooiveld M, Guiomar R, Trobajo-Sanmartín C, Višekruna Vučina V, Samuelsson Hagey T, Lameiras Azevedo AS, Castilla J, Xuereb G, Delaere B, Gómez V, Tolksdorf K, Bacci S, Nicolay N, Kaczmarek M, Rose AM. Interim 2023/24 influenza A vaccine effectiveness: VEBIS European primary care and hospital multicentre studies, September 2023 to January 2024. Euro Surveill 2024; 29:2400089. [PMID: 38390651 PMCID: PMC10899813 DOI: 10.2807/1560-7917.es.2024.29.8.2400089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 02/21/2024] [Indexed: 02/24/2024] Open
Abstract
Influenza A viruses circulated in Europe from September 2023 to January 2024, with influenza A(H1N1)pdm09 predominance. We provide interim 2023/24 influenza vaccine effectiveness (IVE) estimates from two European studies, covering 10 countries across primary care (EU-PC) and hospital (EU-H) settings. Interim IVE was higher against A(H1N1)pdm09 than A(H3N2): EU-PC influenza A(H1N1)pdm09 IVE was 53% (95% CI: 41 to 63) and 30% (95% CI: -3 to 54) against influenza A(H3N2). For EU-H, these were 44% (95% CI: 30 to 55) and 14% (95% CI: -32 to 43), respectively.
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Affiliation(s)
| | | | | | - Francisco Pozo
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- National Centre for Microbiology, National Influenza Reference Laboratory, WHO-National Influenza Centre, Institute of Health Carlos III, Madrid, Spain
| | - Gloria Pérez-Gimeno
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Silke Buda
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Noémie Sève
- Sorbonne Université, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France
| | - Adele McKenna
- HSE Health Protection Surveillance Centre, Dublin, Ireland
| | - Adam Meijer
- National Institute for Public Health and the Environment, Centre for Infectious Diseases Control, Bilthoven, the Netherlands
| | - Ana Paula Rodrigues
- Epidemiology Department, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA - CIBERESP, Pamplona, Spain
| | - Ivan Mlinarić
- Croatian Institute of Public Health, Zagreb, Croatia
| | | | - Gergő Túri
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Mihaela Lazăr
- Cantacuzino National Military Medical Institute for Research and Development, Bucharest, Romania
| | - Clara Mazagatos
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | | | - Stephen Abela
- Infectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta
| | - Marc Bourgeois
- Department of Infectious Diseases, CHU UCL Namur (site Godinne), Université catholique de Louvain, Yvoir, Belgium
| | - Ausenda Machado
- Epidemiology Department, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | - Ralf Dürrwald
- National Reference Centre for Influenza, Robert Koch Institute, Berlin, Germany
| | | | - Beatrix Oroszi
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Ligita Jancoriene
- Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Medical Faculty, Vilnius University, Vilnius, Lithuania
| | - Alexandru Marin
- Dr Victor Babes Clinical Hospital of Infectious and Tropical Diseases, Bucharest, Romania
| | - Petr Husa
- University Hospital Brno and Masaryk University, Brno, Czechia
| | - Roisin Duffy
- HSE Health Protection Surveillance Centre, Dublin, Ireland
| | - Frederika Dijkstra
- National Institute for Public Health and the Environment, Centre for Infectious Diseases Control, Bilthoven, the Netherlands
| | - Virtudes Gallardo García
- Servicio de Vigilancia y Salud Laboral, Dirección General de Salud Pública y Ordenación Farmacéutica, Consejería de Salud y Consumo, Andalucía, Spain
| | - Luise Goerlitz
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Vincent Enouf
- Centre National de Référence Virus des Infections Respiratoire (CNR VIR), Institut Pasteur Université Paris Cité, Paris, France
| | - Charlene Bennett
- National Virus Reference Laboratory, University College Dublin, Dublin, Ireland
| | | | - Raquel Guiomar
- Laboratório Nacional Referência Gripe e outros Vírus Respiratórios, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | | | | | | | - Ana Sofía Lameiras Azevedo
- Servicio de vigilancia y control epidemiológico, Subdirección general de Epidemiología y Vigilancia de la Salud, Dirección General de Salud pública, Valencia, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA - CIBERESP, Pamplona, Spain
| | - Gerd Xuereb
- Department of Child and Adolescent Health, Mater Dei Hospital, Msida, Malta
- Infectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta
| | - Bénédicte Delaere
- Department of Infectious Diseases, CHU UCL Namur (site Godinne), Université catholique de Louvain, Yvoir, Belgium
| | - Verónica Gómez
- Epidemiology Department, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal
| | - Kristin Tolksdorf
- Department for Infectious Disease Epidemiology, Respiratory Infections Unit, Robert Koch Institute, Berlin, Germany
| | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Nathalie Nicolay
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Marlena Kaczmarek
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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Rose AMC, Pozo F, Martínez-Baz I, Mazagatos C, Bossuyt N, Cauchi JP, Petrović G, Loghin II, Vaikutyte R, Buda S, Machado A, Duffy R, Oroszi B, Howard J, Echeverria A, Andreu C, Barbezange C, Džiugytė A, Nonković D, Popescu CP, Majauskaite F, Tolksdorf K, Gomez V, Domegan L, Horváth JK, Castilla J, García M, Demuyser T, Borg ML, Tabain I, Lazar M, Kubiliute I, Dürrwald R, Guiomar R, O'Donnell J, Kristóf K, Nicolay N, Bacci S, Kissling E. Vaccine effectiveness against influenza hospitalisation in adults during the 2022/2023 mixed season of influenza A(H1N1)pdm09, A(H3N2) and B circulation, Europe: VEBIS SARI VE hospital network. Influenza Other Respir Viruses 2024; 18:e13255. [PMID: 38403302 PMCID: PMC10894713 DOI: 10.1111/irv.13255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 02/27/2024] Open
Abstract
We conducted a multicentre hospital-based test-negative case-control study to measure vaccine effectiveness (VE) against PCR-confirmed influenza in adult patients with severe acute respiratory infection (SARI) during the 2022/2023 influenza season in Europe. Among 5547 SARI patients ≥18 years, 2963 (53%) were vaccinated against influenza. Overall VE against influenza A(H1N1)pdm09 was 11% (95% CI: -23-36); 20% (95% CI: -4-39) against A(H3N2) and 56% (95% CI: 22-75) against B. During the 2022/2023 season, while VE against hospitalisation with influenza B was >55%, it was ≤20% for influenza A subtypes. While influenza vaccination should be a priority for future seasons, improved vaccines against influenza are needed.
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Affiliation(s)
| | - Francisco Pozo
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Iván Martínez-Baz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
| | - Clara Mazagatos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
| | | | - John Paul Cauchi
- Department for Health Regulation, Health Promotion and Disease Prevention, Msida, Malta
| | | | - Isabela I Loghin
- St Parascheva Clinical Hospital of Infectious Diseases, Iasi, Romania
| | | | | | - Ausenda Machado
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Róisín Duffy
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | | | - Aitziber Echeverria
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
| | - Cristina Andreu
- Subdirección de Epidemiología, Dirección General de Salud Pública, Servicio Extremeño de Salud, Mérida, Spain
| | | | - Aušra Džiugytė
- Department for Health Regulation, Health Promotion and Disease Prevention, Msida, Malta
| | - Diana Nonković
- Teaching Public Health Institute of Split-Dalmatia County, Split, Croatia
| | - Corneliu-Petru Popescu
- Dr Victor Babes Clinical Hospital of Infectious and Tropical Diseases, Bucharest, Romania
| | - Fausta Majauskaite
- Institute of Clinical Medicine, Medical Faculty, Vilnius University, Vilnius, Lithuania
| | | | - Verónica Gomez
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
| | - Miriam García
- Dirección General de Salud Pública, Departamento de Sanidad, Gobierno de Aragón, Zaragoza, Spain
| | - Thomas Demuyser
- Department of Microbiology and Infection control, UZ Brussel, Brussels, Belgium
| | - Maria-Louise Borg
- Department for Health Regulation, Health Promotion and Disease Prevention, Msida, Malta
| | - Irena Tabain
- Croatian Institute of Public Health, Zagreb, Croatia
| | - Mihaela Lazar
- "Cantacuzino" National Military-Medical Institute for Research and Development, Bucharest, Romania
| | - Ieva Kubiliute
- Institute of Clinical Medicine, Medical Faculty, Vilnius University, Vilnius, Lithuania
| | | | - Raquel Guiomar
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Nathalie Nicolay
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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5
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Antunes L, Mazagatos C, Martínez-Baz I, Gomez V, Borg ML, Petrović G, Duffy R, Dufrasne FE, Dürrwald R, Lazar M, Jancoriene L, Oroszi B, Husa P, Howard J, Melo A, Pozo F, Pérez-Gimeno G, Castilla J, Machado A, Džiugytė A, Karabuva S, Fitzgerald M, Fierens S, Tolksdorf K, Popovici SO, Mickienė A, Túri G, Součková L, Nicolay N, Rose AM. Effectiveness of the adapted bivalent mRNA COVID-19 vaccines against hospitalisation in individuals aged ≥ 60 years during the Omicron XBB lineage-predominant period: VEBIS SARI VE network, Europe, February to August, 2023. Euro Surveill 2024; 29:2300708. [PMID: 38240061 PMCID: PMC10797659 DOI: 10.2807/1560-7917.es.2024.29.3.2300708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 01/18/2024] [Indexed: 01/22/2024] Open
Abstract
We conducted a multicentre hospital-based test-negative case-control study to measure the effectiveness of adapted bivalent COVID-19 mRNA vaccines against PCR-confirmed SARS-CoV-2 infection during the Omicron XBB lineage-predominant period in patients aged ≥ 60 years with severe acute respiratory infection from five countries in Europe. Bivalent vaccines provided short-term additional protection compared with those vaccinated > 6 months before the campaign: from 80% (95% CI: 50 to 94) for 14-89 days post-vaccination, 15% (95% CI: -12 to 35) at 90-179 days, and lower to no effect thereafter.
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Affiliation(s)
| | - Clara Mazagatos
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Verónica Gomez
- Epidemiology Department, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal
| | - Maria-Louise Borg
- Infectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta
| | | | - Róisín Duffy
- Health Service Executive-Health Protection Surveillance Centre (HPSC), Dublin, Ireland
| | - François E Dufrasne
- National Influenza Centre Laboratory of Viral Diseases, Sciensano, Brussels, Belgium
| | - Ralf Dürrwald
- National Reference Centre for Influenza, Robert Koch Institute, Berlin, Germany
| | - Mihaela Lazar
- Cantacuzino National Military-Medical Institute for Research and Development, Bucharest, Romania
| | - Ligita Jancoriene
- Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Medical Faculty, Vilnius University, Lithuania
| | - Beatrix Oroszi
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Petr Husa
- University Hospital Brno, Masaryk University, Brno, Czechia
| | | | - Aryse Melo
- Infectious Diseases Department, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal
| | - Francisco Pozo
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Gloria Pérez-Gimeno
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Ausenda Machado
- Epidemiology Department, National Health Institute Doutor Ricardo Jorge, Lisbon, Portugal
| | - Aušra Džiugytė
- Infectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta
| | | | - Margaret Fitzgerald
- Health Service Executive-Health Protection Surveillance Centre (HPSC), Dublin, Ireland
| | - Sébastien Fierens
- Service Epidemiology of Infectious Diseases, Sciensano, Brussels, Belgium
| | - Kristin Tolksdorf
- Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
| | - Silvia-Odette Popovici
- National Institute of Public Health, National Centre for Communicable Diseases Surveillance and Control, Bucharest, Romania
| | - Auksė Mickienė
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Gergő Túri
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Lenka Součková
- University Hospital Brno, Masaryk University, Brno, Czechia
| | - Nathalie Nicolay
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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6
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Maurel M, Pozo F, Pérez‐Gimeno G, Buda S, Sève N, Oroszi B, Hooiveld M, Gomez V, Domegan L, Martínez‐Baz I, Ilić M, Carnahan AS, Mihai ME, Martínez A, Goerlitz L, Enouf V, Horváth JK, Dijkstra F, Rodrigues AP, Bennett C, Trobajo‐Sanmartín C, Mlinarić I, Latorre‐Margalef N, Ivanciuc A, Lopez A, Dürrwald R, Falchi A, Túri G, Meijer A, Melo A, O'Donnell J, Castilla J, Vučina VV, Hagey TS, Lazar M, Kaczmarek M, Bacci S, Kissling E. Influenza vaccine effectiveness in Europe: Results from the 2022-2023 VEBIS (Vaccine Effectiveness, Burden and Impact Studies) primary care multicentre study. Influenza Other Respir Viruses 2024; 18:e13243. [PMID: 38204584 PMCID: PMC10777262 DOI: 10.1111/irv.13243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/06/2023] [Accepted: 12/10/2023] [Indexed: 01/12/2024] Open
Abstract
Background Influenza A(H3N2) viruses dominated early in the 2022-2023 influenza season in Europe, followed by higher circulation of influenza A(H1N1)pdm09 and B viruses. The VEBIS primary care network estimated the influenza vaccine effectiveness (VE) using a multicentre test-negative study. Materials and Methods Primary care practitioners collected information and specimens from patients consulting with acute respiratory infection. We measured VE against any influenza, influenza (sub)type and clade, by age group, by influenza vaccine target group and by time since vaccination, using logistic regression. Results We included 38 058 patients, of which 3786 were influenza A(H3N2), 1548 influenza A(H1N1)pdm09 and 3275 influenza B cases. Against influenza A(H3N2), VE was 36% (95% CI: 25-45) among all ages and ranged between 30% and 52% by age group and target group. VE against influenza A(H3N2) clade 2b was 38% (95% CI: 25-49). Overall, VE against influenza A(H1N1)pdm09 was 46% (95% CI: 35-56) and ranged between 29% and 59% by age group and target group. VE against influenza A(H1N1)pdm09 clade 5a.2a was 56% (95% CI: 46-65) and 79% (95% CI: 64-88) against clade 5a.2a.1. VE against influenza B was 76% (95% CI: 70-81); overall, 84%, 72% and 71% were among 0-14-year-olds, 15-64-year-olds and those in the influenza vaccination target group, respectively. VE against influenza B with a position 197 mutation of the hemagglutinin (HA) gene was 79% (95% CI: 73-85) and 90% (95% CI: 85-94) without this mutation. Conclusion The 2022-2023 end-of-season results from the VEBIS network at primary care level showed high VE among children and against influenza B, with lower VE against influenza A(H1N1)pdm09 and A(H3N2).
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Affiliation(s)
| | - Francisco Pozo
- National Centre for MicrobiologyInstitute of Health Carlos IIIMadridSpain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
| | - Gloria Pérez‐Gimeno
- National Centre for MicrobiologyInstitute of Health Carlos IIIMadridSpain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
| | - Silke Buda
- Department for Infectious Disease Epidemiology, Respiratory Infections UnitRobert Koch InstituteBerlinGermany
| | - Noémie Sève
- Sorbonne UniversitéINSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136)ParisFrance
| | - Beatrix Oroszi
- National Laboratory for Health Security, Epidemiology and Surveillance CentreSemmelweis UniversityBudapestHungary
| | | | - Verónica Gomez
- Instituto Nacional de Saúde Dr. Ricardo JorgeLisbonPortugal
| | - Lisa Domegan
- HSE‐Health Protection Surveillance CentreDublinIreland
| | - Iván Martínez‐Baz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
- Instituto de Salud Pública de Navarra (IdiSNA)PamplonaSpain
| | - Maja Ilić
- Croatian Institute of Public HealthZagrebCroatia
| | | | - Maria Elena Mihai
- “Cantacuzino” National Military Medical Institute for Research and DevelopmentBucharestRomania
| | - Ana Martínez
- Subdirección General de Vigilancia y Respuesta a Emergencias de Salud Pública, Agencia de Salud Pública de CatalunyaBarcelonaSpain
| | - Luise Goerlitz
- Department for Infectious Disease Epidemiology, Respiratory Infections UnitRobert Koch InstituteBerlinGermany
| | - Vincent Enouf
- Centre National de Référence Virus des Infections Respiratoire (CNR VIR), Institut PasteurParisFrance
| | - Judit Krisztina Horváth
- National Laboratory for Health Security, Epidemiology and Surveillance CentreSemmelweis UniversityBudapestHungary
| | - Frederika Dijkstra
- National Institute for Public Health and the Environment (RIVM)Bilthoventhe Netherlands
| | | | - Charlene Bennett
- National Virus Reference LaboratoryUniversity College DublinDublinIreland
| | - Camino Trobajo‐Sanmartín
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
- Instituto de Salud Pública de Navarra (IdiSNA)PamplonaSpain
| | | | | | - Alina Ivanciuc
- “Cantacuzino” National Military Medical Institute for Research and DevelopmentBucharestRomania
| | - Aurora Lopez
- Subdirección General de Epidemiologia y Vigilancia de la SaludValenciaSpain
| | - Ralf Dürrwald
- National Reference Centre for InfluenzaRobert Koch InstituteBerlinGermany
| | | | - Gergő Túri
- National Laboratory for Health Security, Epidemiology and Surveillance CentreSemmelweis UniversityBudapestHungary
| | - Adam Meijer
- National Institute for Public Health and the Environment (RIVM)Bilthoventhe Netherlands
| | - Aryse Melo
- Instituto Nacional de Saúde Dr. Ricardo JorgeLisbonPortugal
| | | | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP)MadridSpain
- Instituto de Salud Pública de Navarra (IdiSNA)PamplonaSpain
| | | | | | - Mihaela Lazar
- “Cantacuzino” National Military Medical Institute for Research and DevelopmentBucharestRomania
| | | | - Sabrina Bacci
- European Centre for Disease Prevention and ControlStockholmSweden
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7
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Horváth JK, Ferenci T, Ferenczi A, Túri G, Röst G, Oroszi B. Real-Time Monitoring of the Effectiveness of Six COVID-19 Vaccines against Laboratory-Confirmed COVID-19 in Hungary in 2021 Using the Screening Method. Vaccines (Basel) 2022; 10:1824. [PMID: 36366334 PMCID: PMC9697606 DOI: 10.3390/vaccines10111824] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/21/2022] [Accepted: 10/25/2022] [Indexed: 08/15/2023] Open
Abstract
Several studies have reported the waning effectiveness of COVID-19 vaccines. This study aims to demonstrate the applicability of the screening method for estimating vaccine effectiveness (VE) in a pandemic. We report VE in Hungary, estimated with the screening method, in 2021, covering a period of Alpha and the Delta variant, including the booster dose roll-out. Hungary is in a unique position to use six different vaccines in the same population. All vaccines provided a high level of protection initially, which declined over time. While the picture is different in each age group, the waning of immunity is apparent for all vaccines, especially in the younger age groups and the Sinopharm, Sputnik-V, and AstraZeneca vaccines, which performed similarly. This is clearly reversed by booster doses, more prominent for those three vaccines, where the decline in protection is more evident. Overall, two vaccines, Pfizer/BioNTech and Moderna, tend to produce the best results in all age groups, even with waning immunity considered. Using the screening method in future pandemic waves is worthwhile, especially in countries struggling with a lack of resources or when there is a need to deliver VE results within a short timeframe due to urgent decision-making.
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Affiliation(s)
- Judit K. Horváth
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
- Mathematical Modelling and Epidemiology Task Force, 1085 Budapest, Hungary
- National Laboratory for Health Security, 6720 Szeged, Hungary
| | - Tamás Ferenci
- Mathematical Modelling and Epidemiology Task Force, 1085 Budapest, Hungary
- National Laboratory for Health Security, 6720 Szeged, Hungary
- Physiological Controls Research Center, Óbuda University, 1034 Budapest, Hungary
- Department of Statistics, Corvinus University of Budapest, 1093 Budapest, Hungary
| | - Annamária Ferenczi
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
- Mathematical Modelling and Epidemiology Task Force, 1085 Budapest, Hungary
- National Laboratory for Health Security, 6720 Szeged, Hungary
| | - Gergő Túri
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
- Mathematical Modelling and Epidemiology Task Force, 1085 Budapest, Hungary
- National Laboratory for Health Security, 6720 Szeged, Hungary
| | - Gergely Röst
- Mathematical Modelling and Epidemiology Task Force, 1085 Budapest, Hungary
- National Laboratory for Health Security, 6720 Szeged, Hungary
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary
| | - Beatrix Oroszi
- Epidemiology and Surveillance Centre, Semmelweis University, 1085 Budapest, Hungary
- Mathematical Modelling and Epidemiology Task Force, 1085 Budapest, Hungary
- National Laboratory for Health Security, 6720 Szeged, Hungary
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8
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Oroszi B, Juhász A, Nagy C, Horváth JK, McKee M, Ádány R. Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic. BMJ Glob Health 2021; 6:bmjgh-2021-006427. [PMID: 34518205 PMCID: PMC8438581 DOI: 10.1136/bmjgh-2021-006427] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/16/2021] [Indexed: 01/10/2023] Open
Abstract
Introduction We describe COVID-19 morbidity, mortality, case fatality and excess death in a country-wide study of municipalities in Hungary, exploring the association with socioeconomic status. Methods The spatial distribution of morbidity, mortality and case fatality was mapped using hierarchical Bayesian smoothed indirectly standardised ratios. Indirectly standardised ratios were used to evaluate the association between deprivation and the outcome measures. We looked separately at morbidity and mortality in the 10 districts with the highest and 10 districts with the lowest share of Roma population. Results Compared with the national average, the relative incidence of cases was 30%–36% lower in the most deprived quintile but the relative mortality and case fatality were 27%–32% higher. Expressed as incidence ratios relative to the national average, the most deprived municipalities had a relative incidence ratio of 0.64 (CI: 0.62 to 0.65) and 0.70 (CI: 0.69 to 0.72) for males and females, respectively. The corresponding figures for mortality were 1.32 (CI: 1.20 to 1.44) for males and 1.27 (CI: 1.16 to 1.39) for females and for case fatality 1.27 (CI: 1.16 to 1.39) and 1.32 (CI: 1.20 to 1.44) for males and females, respectively. The excess death rate (per 100 000) increased with deprivation levels (least deprived: 114.12 (CI: 108.60 to 119.84) and most deprived: 158.07 (CI: 149.30 to 167.23)). The 10 districts where Roma formed the greatest share of the population had an excess mortality rate 17.46% higher than the average for the most deprived quintile. Conclusions Those living in more deprived municipalities had a lower risk of being identified as a confirmed COVID-19 case but had a higher risk of death. An inverse association between trends in morbidity and mortality by socioeconomic conditions should be a cause for concern and points to the need for responses, including those involving vaccination, to pay particular attention to inequalities and their causes.
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Affiliation(s)
- Beatrix Oroszi
- Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Attila Juhász
- Department of Public Health, Government Office of the Capital City Budapest, Budapest, Hungary
| | - Csilla Nagy
- Department of Public Health, Government Office of the Capital City Budapest, Budapest, Hungary
| | | | - Martin McKee
- European Centre on Health of Societies in Transition (ECOHOST), London School of Hygiene and Tropical Medicine, London, UK
| | - Róza Ádány
- MTA-DE-Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary .,Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
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9
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Csanádi M, Gini A, Koning HD, Széles G, Pitter JG, Oroszi B, Pataki P, Fadgyas-Freyler P, Korponai G, Vokó Z, Lansdorp-Vogelaar I. Modeling costs and benefits of the organized colorectal cancer screening programme and its potential future improvements in Hungary. J Med Screen 2020; 28:268-276. [PMID: 33153369 DOI: 10.1177/0969141320968598] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The national population-based colorectal cancer screening programme in Hungary was initiated in December 2018. We aimed to evaluate the current programme and investigate the costs and benefits of potential future changes to overcome the low coverage of the target population. METHODS We performed an economic evaluation from a healthcare payer perspective using an established micro-simulation model (Microsimulation Screening Analysis-Colon). We simulated costs and benefits of screening with fecal immunochemical test in the Hungarian population aged 50-100, investigating also the impact of potential future scenarios which were assumed to increase invitation coverage: improvement of the IT platform currently used by GPs or distributing the tests through pharmacies instead of GPs. RESULTS The model predicted that the current screening programme could lead to 6.2% colorectal cancer mortality reduction between 2018 and 2050 compared to no screening. Even higher reductions, up to 16.6%, were estimated when tests were distributed through pharmacies and higher coverage was assumed. This change in the programme was estimated to require up to 26 million performed fecal immunochemical tests and 1 million colonoscopies for the simulated period. These future scenarios have acceptable cost-benefit ratios of €8000-€8700 per life-years gained depending on the assumed adherence of invited individuals. CONCLUSIONS With its limitations, the current colorectal cancer screening programme in Hungary will have a modest impact on colorectal cancer mortality. Significant improvements in mortality reduction could be made at acceptable costs, if the tests were to be distributed by pharmacies allowing the entire target population to be invited.
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Affiliation(s)
| | - Andrea Gini
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Harry de Koning
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | | | | | | | | | - Gyula Korponai
- National Health Insurance Fund of Hungary, Budapest, Hungary
| | - Zoltán Vokó
- Syreon Research Institute, Budapest, Hungary.,Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary
| | - Iris Lansdorp-Vogelaar
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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10
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Röst G, Bartha FA, Bogya N, Boldog P, Dénes A, Ferenci T, Horváth KJ, Juhász A, Nagy C, Tekeli T, Vizi Z, Oroszi B. Early Phase of the COVID-19 Outbreak in Hungary and Post-Lockdown Scenarios. Viruses 2020; 12:E708. [PMID: 32629880 PMCID: PMC7412537 DOI: 10.3390/v12070708] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 02/07/2023] Open
Abstract
COVID-19 epidemic has been suppressed in Hungary due to timely non-pharmaceutical interventions, prompting a considerable reduction in the number of contacts and transmission of the virus. This strategy was effective in preventing epidemic growth and reducing the incidence of COVID-19 to low levels. In this report, we present the first epidemiological and statistical analysis of the early phase of the COVID-19 outbreak in Hungary. Then, we establish an age-structured compartmental model to explore alternative post-lockdown scenarios. We incorporate various factors, such as age-specific measures, seasonal effects, and spatial heterogeneity to project the possible peak size and disease burden of a COVID-19 epidemic wave after the current measures are relaxed.
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Affiliation(s)
- Gergely Röst
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Ferenc A. Bartha
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Norbert Bogya
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Péter Boldog
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Attila Dénes
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Tamás Ferenci
- Physiological Controls Research Center, Óbuda University, 1034 Budapest, Hungary;
| | - Krisztina J. Horváth
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Attila Juhász
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
- Department of Public Health, Government Office of Capital City Budapest, 1034 Budapest, Hungary
| | - Csilla Nagy
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
- Department of Public Health, Government Office of Capital City Budapest, 1034 Budapest, Hungary
| | - Tamás Tekeli
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Zsolt Vizi
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
| | - Beatrix Oroszi
- Bolyai Institute, University of Szeged, 6720 Szeged, Hungary; (G.R.); (N.B.); (P.B.); (A.D.); (K.J.H.); (A.J.); (C.N.); (T.T.); (Z.V.); (B.O.)
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11
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Kissling E, Nunes B, Robertson C, Valenciano M, Reuss A, Larrauri A, Cohen JM, Oroszi B, Rizzo C, Machado A, Pitigoi D, Domegan L, Paradowska-Stankiewicz I, Buchholz U, Gherasim A, Daviaud I, Horváth JK, Bella A, Lupulescu E, O Donnell J, Korczyńska M, Moren A. I-MOVE multicentre case-control study 2010/11 to 2014/15: Is there within-season waning of influenza type/subtype vaccine effectiveness with increasing time since vaccination? ACTA ACUST UNITED AC 2017; 21:30201. [PMID: 27124420 DOI: 10.2807/1560-7917.es.2016.21.16.30201] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 02/10/2016] [Indexed: 11/20/2022]
Abstract
Since the 2008/9 influenza season, the I-MOVE multicentre case-control study measures influenza vaccine effectiveness (VE) against medically-attended influenza-like-illness (ILI) laboratory confirmed as influenza. In 2011/12, European studies reported a decline in VE against influenza A(H3N2) within the season. Using combined I-MOVE data from 2010/11 to 2014/15 we studied the effects of time since vaccination on influenza type/subtype-specific VE. We modelled influenza type/subtype-specific VE by time since vaccination using a restricted cubic spline, controlling for potential confounders (age, sex, time of onset, chronic conditions). Over 10,000 ILI cases were included in each analysis of influenza A(H3N2), A(H1N1)pdm09 and B; with 4,759, 3,152 and 3,617 influenza positive cases respectively. VE against influenza A(H3N2) reached 50.6% (95% CI: 30.0-65.1) 38 days after vaccination, declined to 0% (95% CI: -18.1-15.2) from 111 days onwards. At day 54 VE against influenza A(H1N1)pdm09 reached 55.3% (95% CI: 37.9-67.9) and remained between this value and 50.3% (95% CI: 34.8-62.1) until season end. VE against influenza B declined from 70.7% (95% CI: 51.3-82.4) 44 days after vaccination to 21.4% (95% CI: -57.4-60.8) at season end. To assess if vaccination campaign strategies need revising more evidence on VE by time since vaccination is urgently needed.
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12
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Kissling E, Valenciano M, Larrauri A, Oroszi B, Cohen JM, Nunes B, Pitigoi D, Rizzo C, Rebolledo J, Paradowska-Stankiewicz I, Jiménez-Jorge S, Horváth JK, Daviaud I, Guiomar R, Necula G, Bella A, O'Donnell J, Głuchowska M, Ciancio BC, Nicoll A, Moren A. Low and decreasing vaccine effectiveness against influenza A(H3) in 2011/12 among vaccination target groups in Europe: results from the I-MOVE multicentre case-control study. ACTA ACUST UNITED AC 2013; 18. [PMID: 23399425 DOI: 10.2807/ese.18.05.20390-en] [Citation(s) in RCA: 131] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Within the Influenza Monitoring Vaccine Effectiveness in Europe (I-MOVE) project we conducted a multicentre case–control study in eight European Union (EU) Member States to estimate the 2011/12 influenza vaccine effectiveness against medically attended influenza-like illness (ILI) laboratory-confirmed as influenza A(H3) among the vaccination target groups. Practitioners systematically selected ILI / acute respiratory infection patients to swab within seven days of symptom onset. We restricted the study population to those meeting the EU ILI case definition and compared influenza A(H3) positive to influenza laboratory-negative patients. We used logistic regression with study site as fixed effect and calculated adjusted influenza vaccine effectiveness (IVE), controlling for potential confounders (age group, sex, month of symptom onset, chronic diseases and related hospitalisations, number of practitioner visits in the previous year). Adjusted IVE was 25% (95% confidence intervals (CI): -6 to 47) among all ages (n=1,014), 63% (95% CI: 26 to 82) in adults aged between 15 and 59 years and 15% (95% CI: -33 to 46) among those aged 60 years and above. Adjusted IVE was 38% (95%CI: -8 to 65) in the early influenza season (up to week 6 of 2012) and -1% (95% CI: -60 to 37) in the late phase. The results suggested a low adjusted IVE in 2011/12. The lower IVE in the late season could be due to virus changes through the season or waning immunity. Virological surveillance should be enhanced to quantify change over time and understand its relation with duration of immunological protection. Seasonal influenza vaccines should be improved to achieve acceptable levels of protection.
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13
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Valenciano M, Kissling E, Cohen JM, Oroszi B, Barret AS, Rizzo C, Nunes B, Pitigoi D, Larrauri Cámara A, Mosnier A, Horvath JK, O'Donnell J, Bella A, Guiomar R, Lupulescu E, Savulescu C, Ciancio BC, Kramarz P, Moren A. Estimates of pandemic influenza vaccine effectiveness in Europe, 2009-2010: results of Influenza Monitoring Vaccine Effectiveness in Europe (I-MOVE) multicentre case-control study. PLoS Med 2011; 8:e1000388. [PMID: 21379316 PMCID: PMC3019108 DOI: 10.1371/journal.pmed.1000388] [Citation(s) in RCA: 113] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2010] [Accepted: 11/22/2010] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND A multicentre case-control study based on sentinel practitioner surveillance networks from seven European countries was undertaken to estimate the effectiveness of 2009-2010 pandemic and seasonal influenza vaccines against medically attended influenza-like illness (ILI) laboratory-confirmed as pandemic influenza A (H1N1) (pH1N1). METHODS AND FINDINGS Sentinel practitioners swabbed ILI patients using systematic sampling. We included in the study patients meeting the European ILI case definition with onset of symptoms >14 days after the start of national pandemic vaccination campaigns. We compared pH1N1 cases to influenza laboratory-negative controls. A valid vaccination corresponded to >14 days between receiving a dose of vaccine and symptom onset. We estimated pooled vaccine effectiveness (VE) as 1 minus the odds ratio with the study site as a fixed effect. Using logistic regression, we adjusted VE for potential confounding factors (age group, sex, month of onset, chronic diseases and related hospitalizations, smoking history, seasonal influenza vaccinations, practitioner visits in previous year). We conducted a complete case analysis excluding individuals with missing values and a multiple multivariate imputation to estimate missing values. The multivariate imputation (n = 2902) adjusted pandemic VE (PIVE) estimates were 71.9% (95% confidence interval [CI] 45.6-85.5) overall; 78.4% (95% CI 54.4-89.8) in patients <65 years; and 72.9% (95% CI 39.8-87.8) in individuals without chronic disease. The complete case (n = 1,502) adjusted PIVE were 66.0% (95% CI 23.9-84.8), 71.3% (95% CI 29.1-88.4), and 70.2% (95% CI 19.4-89.0), respectively. The adjusted PIVE was 66.0% (95% CI -69.9 to 93.2) if vaccinated 8-14 days before ILI onset. The adjusted 2009-2010 seasonal influenza VE was 9.9% (95% CI -65.2 to 50.9). CONCLUSIONS Our results suggest good protection of the pandemic monovalent vaccine against medically attended pH1N1 and no effect of the 2009-2010 seasonal influenza vaccine. However, the late availability of the pandemic vaccine and subsequent limited coverage with this vaccine hampered our ability to study vaccine benefits during the outbreak period. Future studies should include estimation of the effectiveness of the new trivalent vaccine in the upcoming 2010-2011 season, when vaccination will occur before the influenza season starts.
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Kissling E, Valenciano M, Falcão JM, Larrauri A, Widgren K, Pitigoi D, Oroszi B, Nunes B, Savulescu C, Mazick A, Lupulescu E, Ciancio B, Moren A. “I-MOVE” towards monitoring seasonal and pandemic influenza vaccine effectiveness: lessons learnt from a pilot multi-centric case-control study in Europe, 2008-9. Euro Surveill 2009. [DOI: 10.2807/ese.14.44.19388-en] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Within I-MOVE (European programme to monitor seasonal and pandemic influenza vaccine effectiveness (IVE)) five countries conducted IVE pilot case-control studies in 2008-9. One hundred and sixty sentinel general practitioners (GP) swabbed all elderly consulting for influenza-like illness (ILI). Influenza confirmed cases were compared to influenza negative controls. We conducted a pooled analysis to obtain a summary IVE in the age group of ≥65 years.
We measured IVE in each study and assessed heterogeneity between studies qualitatively and using the I2 index. We used a one-stage pooled model with study as a fixed effect. We adjusted estimates for age-group, sex, chronic diseases, smoking, functional status, previous influenza vaccinations and previous hospitalisations.
The pooled analysis included 138 cases and 189 test-negative controls. There was no statistical heterogeneity (I2=0) between studies but ILI case definition, previous hospitalisations and functional status were slightly different. The adjusted IVE was 59.1% (95% CI: 15.3-80.3%). IVE was 65.4% (95% CI: 15.6-85.8%) in the 65-74, 59.6% (95% CI: -72.6 -90.6%) in the age group of ≥75 and 56.4% (95% CI: -0.2-81.3%) for A(H3). Pooled analysis is feasible among European studies. The variables definitions need further standardisation. Larger sample sizes are needed to achieve greater precision for subgroup analysis. For 2009-10, I-MOVE will extend the study to obtain early IVE estimates in groups targeted for pandemic H1N1 influenza vaccination.
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Affiliation(s)
| | | | - J M Falcão
- Instituto Nacional de Saude Dr Ricardo Jorge, Lisbon, Portugal
| | - A Larrauri
- Instituto de Salud Carlos III, Madrid, Spain
| | - K Widgren
- European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden
- Statens Serum Institute, Copenhagen, Denmark
| | - D Pitigoi
- Cantacuzino Institute, National Institute of Research – Development for Microbiology and Immunology, Bucharest, Romania
| | - B Oroszi
- National Center for Epidemiology, Budapest, Hungary
| | - B Nunes
- Instituto Nacional de Saude Dr Ricardo Jorge, Lisbon, Portugal
| | - C Savulescu
- European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden
- Instituto de Salud Carlos III, Madrid, Spain
| | - A Mazick
- Statens Serum Institute, Copenhagen, Denmark
| | - E Lupulescu
- Cantacuzino Institute, National Institute of Research – Development for Microbiology and Immunology, Bucharest, Romania
| | - B Ciancio
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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Kissling E, Valenciano M, Falcao J, Larrauri A, Widgren K, Pitigoi D, Oroszi B, Nunes B, Savulescu C, Mazick A, Lupulescu E, Ciancio B, Moren A. "I-MOVE" towards monitoring seasonal and pandemic influenza vaccine effectiveness: lessons learnt from a pilot multi-centric case-control study in Europe, 2008-9. Euro Surveill 2009; 14:19388. [PMID: 19941774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023] Open
Abstract
Within I-MOVE (European programme to monitor seasonal and pandemic influenza vaccine effectiveness (IVE)) five countries conducted IVE pilot case-control studies in 2008-9. One hundred and sixty sentinel general practitioners (GP) swabbed all elderly consulting for influenza-like illness (ILI). Influenza confirmed cases were compared to influenza negative controls. We conducted a pooled analysis to obtain a summary IVE in the age group of >or=65 years. We measured IVE in each study and assessed heterogeneity between studies qualitatively and using the I2 index. We used a one-stage pooled model with study as a fixed effect. We adjusted estimates for age-group, sex, chronic diseases, smoking, functional status, previous influenza vaccinations and previous hospitalisations. The pooled analysis included 138 cases and 189 test-negative controls. There was no statistical heterogeneity (I2=0) between studies but ILI case definition, previous hospitalisations and functional status were slightly different. The adjusted IVE was 59.1% (95% CI: 15.3-80.3%). IVE was 65.4% (95% CI: 15.6-85.8%) in the 65-74, 59.6% (95% CI: -72.6 -90.6%) in the age group of >or=75 and 56.4% (95% CI: -0.2-81.3%) for A(H3). Pooled analysis is feasible among European studies. The variables definitions need further standardisation. Larger sample sizes are needed to achieve greater precision for subgroup analysis. For 2009-10, I-MOVE will extend the study to obtain early IVE estimates in groups targeted for pandemic H1N1 influenza vaccination.
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Morava E, Végh E, Bóna I, Kiss I, Oroszi B, Józan P. Health risk factors and mortality in Pécs City, Hungary in the 1990s. Cent Eur J Public Health 2000; 8:109-13. [PMID: 10857049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
In the period of 1990-1994 an increase of all causes mortality for 35-74 years old males was observed both in Pécs and in all Hungary. From 1994 to 1997 the mortality decreased. Similar changes, but of smaller dimension, were observed in the female population. The increasing mortality of the early 1990s is attributed primarily to the extra psycho-social stress of this period. The data of the population survey at Pécs in 1995-96 were compared to the data of earlier surveys. The mean blood total cholesterol levels and the prevalence of smoking decreased from 1990 to 1996. The prevalence of hypertension and male obesity increased. Physical inactivity, unhealthy diet and lack of improvement of diet still represent significant health problems. High prevalence of increased gamma-glutamyl transferase indicate high prevalence of excess alcohol consumption. The risk factor profile of 18-25 year old males is very unfavourable. Smoking prevalence in females aged 26-35 years exceeds that of males of the same age group. Preventive efforts should be focused to young males and females.
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Affiliation(s)
- E Morava
- Institute of Public Health, Semmelweis Medical University, Budapest, Hungary
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