13 results on '"Lyytikäinen, Outi"'
Search Results
2. The outcome and timing of death of 17,767 nosocomial bloodstream infections in acute care hospitals in Finland during 1999–2014
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Kontula, Keiju S. K., Skogberg, Kirsi, Ollgren, Jukka, Järvinen, Asko, and Lyytikäinen, Outi
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- 2018
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3. Concordance between the old and new diagnostic criteria for periprosthetic joint infection
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Honkanen, Meeri, Jämsen, Esa, Karppelin, Matti, Huttunen, Reetta, Lyytikäinen, Outi, and Syrjänen, Jaana
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- 2017
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4. Impact of Postdischarge Surveillance on the Rate of Surgical Site Infection After Orthopedic Surgery
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Hospital Infection Surveillance Team, Huotari, Kaisa, and Lyytikäinen, Outi
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- 2006
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5. Very little influenza in the WHO European Region during the 2020/21 season, weeks 40 2020 to 8 2021
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Adlhoch, Cornelia, Mook, Piers, Lamb, Favelle, Ferland, Lisa, Melidou, Angeliki, Amato-Gauci, Andrew J., Pebody, Richard, Paulsen, Trine Hessevik, Hungnes, Olav, Sargsyan, Shushan, Abovyan, Romella, Redlberger-Fritz, M, Karaban, Inna, Shmialiova, Natallia, Bossuyt, Nathalie, Thomas, Isabelle, Rodić-Vukmir, Nina, Dedeić-Ljubović, Amela, Petrović, Goranka, Tabain, Irena, Pieridou, Despo, karagiannis, christos, Jirincova, Helena, Kyncl, Jan, Vestergaard, Lasse Skafte, Trebbien, Ramona, Sadikova, Olga, Dotsenko, Liidia, Ikonen, Niina, Lyytikäinen, Outi, Enouf, Vincent, Jung, Yu Jin, Buda, Silke, Dürrwald, Ralf, Gioula, Georgia, Kossyvakis, Thanos, Molnar, Zsuzsanna, Rózsa, Mónika, Aspelund, Gudrun, Löve, Arthur, Domegan, Lisa, Dunford, Linda, Kaufman, Zalman, Mandelboim, Michal, Bella, Antonino, Puzelli, Simona, Nazym, Tleumbetova, Aidar, Usserbayev, Nikiforova, Raina, Pakarna, Gatis, Virology, European Centre for Disease Prevention and Control, and World Health Organization (WHO/OMS)
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medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Epidemiology ,Physical Distancing ,Influenza season ,Biology ,World Health Organization ,Virus ,World health ,SDG 3 - Good Health and Well-being ,Virology ,Pandemic ,Influenza, Human ,medicine ,Humans ,Pandemics ,Surveillance ,Public health ,Public Health, Environmental and Occupational Health ,2020/21 season ,COVID-19 ,European region ,Influenza ,Europe ,surveillance ,epidemiology ,Seasons ,influenza ,Sentinel Surveillance ,influenza, COVID-19 pandemic, surveillance ,Rapid Communication ,Demography - Abstract
Between weeks40 2020 and 8 2021, the World Health Organization European Region experienced a 99.8% reduction in sentinel influenza virus positive detec-tions (33/25,606 tested; 0.1%) relative to an average of 14,966/39,407 (38.0%; p
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- 2021
6. Completeness of tuberculosis (TB) notification: inventory studies and capture-recapture analyses, six European Union countries, 2014 to 2016
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Straetemans, Masja, Bakker, Mirjam I, Alba, Sandra, Mergenthaler, Christina, Rood, Ente, Andersen, Peter H, Schimmel, Henrieke, Simunovic, Aleksandar, Svetina, Petra, Carvalho, Carlos, Lyytikäinen, Outi, Abubakar, Ibrahim, Harris, Ross J, Ködmön, Csaba, van der Werf, Marieke J, and van Hest, Rob
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Portugal ,tuberculosis ,Croatia ,statistics ,Denmark ,Slovenia ,surveillance ,epidemiology ,Finland ,Netherlands - Published
- 2020
7. Antimicrobial use in European acute care hospitals: results from the second point prevalence survey (PPS) of healthcare-associated infections and antimicrobial use, 2016 to 2017
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Plachouras, Diamantis, Kärki, Tommi, Hansen, Sonja, Hopkins, Susan, Lyytikäinen, Outi, Moro, Maria Luisa, Reilly, Jacqui, Zarb, Peter, Zingg, Walter, Kinross, Pete, Weist, Klaus, Monnet, Dominique L, and Suetens, Carl
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antibiotic use ,healthcare-associated infections ,point-prevalence survey ,surveillance ,hospitals ,antimicrobial use - Abstract
Antimicrobial agents used to treat infections are life-saving. Overuse may result in more frequent adverse effects and emergence of multidrug-resistant microorganisms. In 2016-17, we performed the second point-prevalence survey (PPS) of healthcare-associated infections (HAIs) and antimicrobial use in European acute care hospitals. We included 1,209 hospitals and 310,755 patients in 28 of 31 European Union/European Economic Area (EU/EEA) countries. The weighted prevalence of antimicrobial use in the EU/EEA was 30.5% (95% CI: 29.2-31.9%). The most common indication for prescribing antimicrobials was treatment of a community-acquired infection, followed by treatment of HAI and surgical prophylaxis. Over half (54.2%) of antimicrobials for surgical prophylaxis were prescribed for more than 1 day. The most common infections treated by antimicrobials were respiratory tract infections and the most commonly prescribed antimicrobial agents were penicillins with beta-lactamase inhibitors. There was wide variation of patients on antimicrobials, in the selection of antimicrobial agents and in antimicrobial stewardship resources and activities across the participating countries. The results of the PPS provide detailed information on antimicrobial use in European acute care hospitals, enable comparisons between countries and hospitals, and highlight key areas for national and European action that will support efforts towards prudent use of antimicrobials.
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- 2019
8. Methicillin-resistantStaphylococcus aureusin Europe, 1999–2002
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Tiemersma, Edine W., Bronzwaer, Stef L.A.M., Lyytikäinen, Outi, Degener, John E., Schrijnemakers, Paul, Bruinsma, Nienke, Monen, Jos, Witte, Wolfgang, Grundmann, Hajo, European Antimicrobial Resistance Surveillance System Participants, and Man, Biomaterials and Microbes (MBM)
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Microbiology (medical) ,Staphylococcus aureus ,Veterinary medicine ,ANTIMICROBIAL SUSCEPTIBILITY TESTS ,medicine.medical_specialty ,Quality Assurance, Health Care ,Epidemiology ,International Cooperation ,ENGLAND ,lcsh:Medicine ,MRSA ,SUSCEPTIBILITY ,Staphylococcal infections ,medicine.disease_cause ,Methicillin resistance ,lcsh:Infectious and parasitic diseases ,WALES ,Antibiotic resistance ,Environmental health ,SURVEILLANCE ,Prevalence ,Humans ,Medicine ,lcsh:RC109-216 ,Methicillin-resistant ,Europe ,ANTIMICROBIAL RESISTANCE ,business.industry ,Research ,lcsh:R ,biochemical phenomena, metabolism, and nutrition ,Staphylococcal Infections ,bacterial infections and mycoses ,medicine.disease ,Methicillin-resistant Staphylococcus aureus ,COMMUNITY ,Infectious Diseases ,HOSPITALS ,Population Surveillance ,Western europe ,Europe, drug resistance, microbial, methicillin resistance, epidemiology, research ,Methicillin Resistance ,business - Abstract
European Antimicrobial Resistance Surveillance System shows large variations in methicillin-resistant S. aureus., We explored the variation in proportions of methicillin-resistant Staphylococcus aureus (MRSA) between and within countries participating in the European Antimicrobial Resistance Surveillance System and temporal trends in its occurrence. This system collects routine antimicrobial susceptibility tests for S. aureus. We examined data collected from January 1999 through December 2002 (50,759 isolates from 495 hospitals in 26 countries). MRSA prevalence varied almost 100-fold, from 40% in southern and western Europe. MRSA proportions significantly increased in Belgium, Germany, Ireland, the Netherlands, and the United Kingdom, and decreased in Slovenia. Within countries, MRSA proportions varied between hospitals with highest variance in countries with a prevalence of 5% to 20%. The observed trends should stimulate initiatives to control MRSA at national, regional, and hospital levels. The large differences between hospitals indicate that efforts may be most effective at regional and hospital levels.
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- 2004
9. Genomic Characteristics Behind the Spread of Bacteremic Group A Streptococcus Type emm89 in Finland, 2004-2014.
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Latronico, Francesca, Nasser, Waleed, Puhakainen, Kai, Ollgren, Jukka, Hyyryläinen, Hanne-Leena, Beres, Stephen B., Lyytikäinen, Outi, Jalava, Jari, Musser, James M., and Vuopio, Jaana
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STREPTOCOCCACEAE ,STREPTOCOCCUS ,GENOMICS ,PATHOGENIC microorganisms ,LOGISTIC regression analysis - Abstract
Background: Many countries worldwide have reported increasing numbers of emm89 group A Streptococcus (GAS) infections during last decade. Pathogen genetic factors linked to this increase need assessment.Methods: We investigated epidemiological characteristics of emm89 GAS bacteremic infections, including 7-day and 30-day case-fatality rates, in Finland during 2004-2014 and linked them to whole-genome sequencing data obtained from corresponding strains. The Fisher exact test and exact logistic regression were used to compare differences between bacteremic infections due to emm89 GAS belonging to different genetic clades and subclades.Results: Out of 1928 cases of GAS bacteremic infection, 278 were caused by emm89 GAS. We identified 2 genetically distinct clades, arbitrarily designated clade 2 and clade 3. Both clades were present during 2004-2008, but clade 3 increased rapidly from 2009 onward. Six subclades (designated subclades A-F) were identified within clade 3, based on phylogenetic core genome analysis. The case-fatality rate differed significantly between subclades (P < .05), with subclade D having the highest 30-day estimated case-fatality rate (19% vs 3%-14%).Conclusions: A new emm89 clone, clade 3, emerged in 2009 and spread rapidly in Finland. Patients infected with certain subclades of clade 3 were significantly more likely to die. A specific polymerase chain reaction assay was developed to follow the spread of subclade D in 2015. [ABSTRACT FROM AUTHOR]- Published
- 2016
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10. Nosocomial bloodstream infections caused by Escherichia coli and Klebsiella pneumoniae resistant to third-generation cephalosporins, Finland, 1999–2013: Trends, patient characteristics and mortality.
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Martelius, Timi, Jalava, Jari, Kärki, Tommi, Möttönen, Teemu, Ollgren, Jukka, and Lyytikäinen, Outi
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ALLIED health personnel ,PREVENTION of communicable diseases ,CROSS infection ,ESCHERICHIA coli ,ESCHERICHIA coli diseases ,IDENTIFICATION ,PATIENTS - Abstract
Background: Few systematically collected multi-centre surveillance data on nosocomial bloodstream infections (BSI) caused by extended-spectrum β-lactamase (ESBL) producing Escherichia coli or Klebsiellapneumoniae have been published. Aim: To evaluate trends, patient characteristics and mortality of such infections, nosocomial BSI data reported by the 4–17 hospitals participating in the prospective laboratory-based surveillance during 1999–2013 were analysed. Methods: Data were collected by local infection control nurses, patient-days were obtained from the hospital's administrative database, and dates of deaths from the population registry. Resistance to third-generation cephalosporins was further examined in the national reference laboratory. Findings: A total of 16 028 nosocomial BSIs were identified; 2217 (14%) were caused by E. coli and 661 (4%) by K. pneumoniae; 207 (7%) were non-susceptible to third-generation cephalosporins, with an increasing trend from 0% in 1999 to 17% in 2013. Patient characteristics did not differ significantly between BSIs caused by third-generation susceptible and resistant E. coli and K. pneumonia, but the case fatality tended to be higher. Most (88%) of the isolates reported as non-susceptible to third-generation cephalosporins had ESBL phenotype, CTX-M (79%) being the most common enzyme. Conclusion: A sharp increase in nosocomial BSIs caused by ESBL producing bacteria was observed. Identification of patients for screening pose a challenge, emphasising the role of infection control guidelines and antibiotic policy in prevention [ABSTRACT FROM AUTHOR]
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- 2016
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11. Monitoring the epidemiology of bloodstream infections: aims, methods and importance.
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Søgaard, Mette, Lyytikäinen, Outi, Laupland, Kevin B, and Schønheyder, Henrik Carl
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Bloodstream infections (BSI) are a major cause of mortality, morbidity and medical cost. Even though monitoring activities have been on-going for decades, it is difficult to depict a full picture of the burden of BSI. The main reasons for shortcomings include varying study aims, definitions and inclusion criteria for both microorganisms and patients. Incidence studies are commonly hampered by difficulties in delineating the population at risk. The objective of this review was to provide a framework for comprehensive BSI monitoring systems in the future. We highlight the importance of standardized definitions and acquisition of data combined with cautious statistical analyses. Hereby, valid data on BSI can be provided for clinicians and decision makers and ultimately contribute to improvement of the quality of care for BSI patients. [ABSTRACT FROM AUTHOR]
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- 2013
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12. Antimicrobial use in European long-term care facilities: results from the third point prevalence survey of healthcare-associated infections and antimicrobial use, 2016 to 2017
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Ricchizzi, Enrico, Latour, Katrien, Kärki, Tommi, Buttazzi, Rossella, Jans, Beatrice, Moro, Maria Luisa, Nakitanda, Olivia Aya, Plachouras, Diamantis, Monnet, Dominique L, Suetens, Carl, Kinross, Pete Thomas Ndaula, Lusignani, Luigi Segagni, Strauss, Reinhild, Hedlova, Dana, Jindrak, Vlastimil, Bosnjak, Zrinka, Budimir, Ana, Gabriel, Elena, Jensen, Christian Stab, Lyytikäinen, Outi, Sarvikivi, Emmi, Savey, Anne, Daniau, Come, Schmidt, Nicole, Ruscher, Claudia, Adami, Maria-Evangelia, Panagiotakis, Symeon H, Veress, Istvan, Burns, Karen, Murphy, Helen, Zotti, Carla M, Furmenti, Maria Francesca, Avelyte, Justina, Weydert, Murielle, Basovska, Branka Petrovska, Kochinski, Dragan, Borg, Michael A, Bonanno, Mark, Verhoef, Linda, Halonen, Kati, Eriksen, Hanne-Merete, Bentele, Horst, Wojkowska-Mach, Jadwiga, Mazinska, Beata, Pacheco, Pedro, Valente, Margarida, Markovic-Denic, Ljiljana, Krtinic, Gordana, Garabasova, Maria Kopilec, Stefkovicova, Maria, Caceres, Enric Limon, Castillo, Maria Jose Torijano, Soderblom, Tomas, Hellman, Jenny, Sartaj, Muhammad, Crockford, Tony, Cairns, Shona, Gibbons, Cheryl, Harrison, Wendy, Jeffrey, Christine, and Universitat de Barcelona
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0301 basic medicine ,Male ,Epidemiology ,AMR ,HAI ,LTCF ,PPS ,antimicrobial resistance ,antimicrobial use ,healthcare-associated infections ,long-term care facility ,point-prevalence survey ,surveillance ,Aged ,Aged, 80 and over ,Anti-Infective Agents ,Cross Infection ,Drug Utilization ,Europe ,Female ,Health Care Surveys ,Homes for the Aged ,Humans ,Long-Term Care ,Nursing Homes ,Practice Patterns, Physicians' ,Prevalence ,Surveys and Questionnaires ,Practice Patterns ,Surveys ,Surveillance and Outbreak Report ,0302 clinical medicine ,80 and over ,Antimicrobial stewardship ,030212 general & internal medicine ,media_common ,Respiratory tract infections ,Antimicrobial ,Infeccions ,Equipaments sanitaris ,Anti-infective agents ,Europa ,medicine.drug ,Agents antiinfecciosos ,030106 microbiology ,Infections ,Enquestes ,03 medical and health sciences ,Antibiotic resistance ,Virology ,Environmental health ,medicine ,media_common.cataloged_instance ,European union ,Medical prescription ,Physicians' ,business.industry ,Public Health, Environmental and Occupational Health ,Health facilities ,Trimethoprim ,Long-term care ,business - Abstract
Antimicrobials are commonly prescribed and contribute to the development of antimicrobial resistance in long-term care facilities (LTCFs). In 2010, the European Centre for Disease Prevention and Control initiated point prevalence surveys (PPS) of healthcare-associated infections and antimicrobial use in European LTCFs, performed by external contractors as the Healthcare-Associated infections in Long-Term care facilities (HALT) projects. Here, we investigated prevalence and characteristics of antimicrobial use and antimicrobial stewardship indicators in European LTCFs in 2016-17. Twenty-four European Union/European Economic Area (EU/EEA) countries, the former Yugoslav Republic of Macedonia and Serbia participated in the third PPS in European LTCFs. Overall, 4.9% (95% confidence interval: 4.8-5.1) of LTCF residents in the EU/EEA participating countries received at least one antimicrobial. The most commonly reported Anatomical Therapeutic Chemical (ATC) groups were beta-lactam antibacterials/penicillins (J01C), other antibacterials (J01X) (e.g. glycopeptide antibacterials, polymyxins), quinolones (J01M), sulfonamides and trimethoprim (J01E), and other beta-lactams (J01D). Urinary tract infections and respiratory tract infections were the main indications for antimicrobial prescription. This PPS provides updated and detailed information on antimicrobial use in LTCFs across the EU/EEA that can be used to identify targets for future interventions, follow-up of these interventions and promote prudent use of antimicrobials in European LTCFs. ispartof: EUROSURVEILLANCE vol:23 issue:46 pages:29-40 ispartof: location:Sweden status: published
13. Dominant influenza A(H3N2) and B/Yamagata virus circulation in EU/EEA, 2016/17 and 2017/18 seasons, respectively
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Ron Fouchier, Paulo Jorge Nogueira, Amparo Larrauri, Susanne Gjeruldsen Dudman, Sylvie Van der WERF, Simona Puzelli, Frederika Dijkstra, Anu Haveri, Bruno Lina, Guillaume Fournier, Cyril Barbezange, Lisa Domegan, Cornelia Adlhoch, Thea Kølsen Fischer, Francisco Pozo, VASILIKI POGKA, Sibylle Bernard-Stoecklin, Caterina Rizzo, Lidia Brydak, Ramona Trebbien, Inmaculada Casas, Maria Rita Castrucci, Richard Pebody, European Centre for Disease Prevention and Control [Stockholm, Sweden] (ECDC), Aristotle University of Thessaloniki, Génétique Moléculaire des Virus à ARN - Molecular Genetics of RNA Viruses (GMV-ARN (UMR_3569 / U-Pasteur_2)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), We thank the influenza surveillance team at World Health Organization Regional Office for Europe, Copenhagen, Demark, for their collaboration. We thank all EISN members and ERLI-Net laboratories for their tireless commitment in collecting and providing high-quality European influenza surveillance data. We are also grateful to the TESSy data managers for their support and ECDC staff for their critical review., Members of the European Influenza Surveillance Network WHO: Piers Mook, Tamara Meerhoff, Austria: Theresia Popow-Kraupp, Daniela Schmid, Belgium: Barbezange Cyril, Bossuyt Nathalie, Moreels Sarah, Thomas Isabelle, Van Casteren Viviane, Bulgaria: Korsun Neli, Croatia: Draženović Vladimir, Cyprus: Koliou Maria, Pieridou Despo, Czech Republic: Havlíčková Martina, Jiřincová Helena, Kynčl Jan, Denmark: Fischer Thea Kølsen, Krause Knudsen Lisbet, Trebbien Ramona, Estonia: Päll Kaie, Sadikova Olga, Finland: Haveri Anu, Ikonen Niina, Lyytikäinen Outi, Murtopuro Satu, France: Behillil Sylvie, Bernard-Stoecklin Sibylle, Blanchon Thierry, Campese Christine, Enouf Vincent, Lina Bruno, Turbelin Clement, Valette Martine, van der Werf Sylvie, Germany: Buda Silke, Dürrwald Ralf, Greece: Kalkouni Ourania, Mentis Andreas, Papa Anna, Pogka Vasiliki, Hungary: Jankovics István, Molnár Zsuzsanna, Rózsa Mónika, Iceland: Löve Arthur, Sigmundsdóttir Guðrún, Ireland: Connell Jeff, Domegan Lisa, Duffy Margaret, Dunford Linda, O’Donnell Joan, Italy: Bella Antonino, Rizzo Caterina, Simona Puzelli, Maria Rita Castrucci, Latvia: Nikiforova Raina, Pakarna Gatis, Zamjatina Natalija, Liechtenstein: Jamnicki Abegg Marina, Lithuania: Griškevičius Algirdas, Lipnickienė Vilnelė, Muralytė Svajūnė, Luxembourg: Fournier Guillaume, Nguyen Trung, Malta: Barbara Christopher, Maistre Melillo Jackie, Melillo Tanya, Zahra Graziella, The Netherlands: de Lange Marit, Dijkstra Frederika, Donker Ge, Fouchier Ron, Hooiveld Mariette, Marbus Sierk, Meijer Adam, Teirlinck Anne, Norway: Bragstad Karoline, Dudman Susanne Gjeruldsen, Hauge Siri Helene, Hungnes Olav, Tønnessen Ragnhild, Poland: Brydak Lidia, Cieślak Katarzyna, Zielinski Andrzej, Portugal: Figueiredo Augusto Gonçalo, Machado Jorge, Moreira Guiomar Raquel, Nogueira Paulo, Rebelo De Andrade Helena, Rodrigues Ana Paula, Romania: Ivanciuc Alina, Odette Popovici, Popescu Rodica, Slovakia: Staronová Edita, Mikas Ján, Slovenia: Berginc Nataša, Prosenc Katarina, Sočan Maja, Grilc Eva, Spain: Casas Inmaculada, Delgado Sanz Concha, Larrauri Amparo, Marcos María Angeles, Oliva Jesus, Ortiz De Lejarazu Leonardo Raul, Pozo Francisco, Vega Tomas, Sweden: Mia Brytting, AnnaSara Carnahan, and United Kingdom: Coyle Peter, Daniels Rodney Stuart, Gunson Rory, Kearns Cathriona, MacLean Alasdair, McCaughey Conall, McMenamin Jim, Moore Catherine, Nugent Christopher, Pebody Richard, Phin Nick, Potts Alison, Reynolds Arlene, Shaw Primrose Louise, Zambon Maria.
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0301 basic medicine ,Male ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Gripe ,severity ,Severity of Illness Index ,Disease Outbreaks ,0302 clinical medicine ,Estados de Saúde ,030212 general & internal medicine ,Child ,intensive care ,Aged, 80 and over ,Surveillance ,virus diseases ,Middle Aged ,Europe ,Vigilância ,Intensive Care Units ,Geography ,Child, Preschool ,Population Surveillance ,surveillance ,Female ,epidemiology ,Seasons ,Iinfluenza ,influenza ,Rapid Communication ,Adult ,medicine.medical_specialty ,Surveillance data ,Adolescent ,030106 microbiology ,Virus ,Severity ,03 medical and health sciences ,Young Adult ,Virology ,Intensive care ,Influenza, Human ,medicine ,Humans ,Circulation (currency) ,Mortality ,Aged ,Influenza A Virus, H3N2 Subtype ,Public Health, Environmental and Occupational Health ,Infant, Newborn ,Infant ,Influenza a ,mortality ,Influenza B virus ,Influenza Surveillance ,Sentinel Surveillance ,Demography - Abstract
Members of the European Influenza Surveillance Network: Portugal (Figueiredo Augusto Gonçalo, Machado Jorge, Moreira Guiomar Raquel, Nogueira Paulo, Rebelo de Andrade Helena, Rodrigues Ana Paula) The yearly influenza epidemics during each winter season vary in burden and severity. During the 2016/17 and 2017/18 seasons, all-cause excess mortality was observed during periods of high influenza virus circulation. Our aim is to describe and compare the pattern of influenza virus circulation and related disease severity by number of patients and fatal cases in intensive care units (ICUs) across European Union/European Economic Area (EU/EEA) countries for the seasons 2016/17 and 2017/18. As influenza circulation progressed from a west to east direction across Europe in 2017/18, a better understanding of the current epidemiological situation might help to prepare countries in the eastern part of the World Health Organization (WHO) European Region for high influenza activity and severity. info:eu-repo/semantics/publishedVersion
- Published
- 2019
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