Percorrer por autor "Gkolfinopoulou, Kassiani"
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- Estimated number of lives directly saved by COVID-19 vaccination programmes in the WHO European Region from December, 2020, to March, 2023: a retrospective surveillance studyPublication . Meslé, Margaux M.I.; Brown, Jeremy; Mook, Piers; Katz, Mark A.; Hagan, José; Pastore, Roberta; Benka, Bernhard; Redlberger-Fritz, Monika; Bossuyt, Nathalie; Stouten, Veerle; Vernemmen, Catharina; Constantinou, Elisabet; Maly, Marek; Kynčl, Jan; Sanca, Ondrej; Krause, Tyra Grove; Vestergaard, Lasse Skafte; Leino, Tuija; Poukka, Eero; Gkolfinopoulou, Kassiani; Mellou, Kassiani; Tsintziloni, Maria; Molnár, Zsuzsanna; Aspelund, Gudrun; Thordardottir, Marianna; Domegan, Lisa; Kelly, Eva; O'Donell, Joan; Urdiales, Alberto-Mateo; Riccardo, Flavia; Sacco, Chiara; Bumšteinas, Viktoras; Liausediene, Rasa; Mossong, Joël; Vergison, Anne; Borg, Maria-Louise; Melillo, Tanya; Kocinski, Dragan; Pollozhani, Enkela; Meijerink, Hinta; Costa, Diana; Gomes, João Paulo; Leite, Pedro Pinto; Druc, Alina; Gutu, Veaceslav; Mita, Valentin; Lazar, Mihaela; Popescu, Rodica; Popovici, Odette; Musilová, Monika; Mrzel, Maja; Socan, Maja; Učakar, Veronika; Limia, Aurora; Mazagatos, Clara; Olmedo, Carmen; Dabrera, Gavin; Kall, Meaghan; Sinnathamby, Mary; McGowan, Graham; McMenamin, Jim; Morrison, Kirsty; Nitzan, Dorit; Widdowson, Marc-Alain; Smallwood, Catherine; Pebody, Richard; WHO European Respiratory Surveillance NetworkBackground: By March, 2023, 54 countries, areas, and territories (hereafter CAT) in the WHO European Region had reported more than 2·2 million COVID-19-related deaths to the WHO Regional Office for Europe. Here, we estimated how many lives were directly saved by vaccinating adults in the WHO European Region from December, 2020, to March, 2023. Methods: In this retrospective surveillance study, we estimated the number of lives directly saved by age group, vaccine dose, and circulating variant-of-concern (VOC) period, regionally and nationally, using weekly data on COVID-19 mortality and infection, COVID-19 vaccination uptake, and SARS-CoV-2 virus characterisations by lineage downloaded from The European Surveillance System on June 11, 2023, as well as vaccine effectiveness data from the literature. We included data for six age groups (25-49 years, 50-59 years, ≥60 years, 60-69 years, 70-79 years, and ≥80 years). To be included in the analysis, CAT needed to have reported both COVID-19 vaccination and mortality data for at least one of the four older age groups. Only CAT that reported weekly data for both COVID-19 vaccination and mortality by age group for 90% of study weeks or more in the full study period were included. We calculated the percentage reduction in the number of expected and reported deaths. Findings: Between December, 2020, and March, 2023, in 34 of 54 CAT included in the analysis, COVID-19 vaccines reduced deaths by 59% overall (CAT range 17-82%), representing approximately 1·6 million lives saved (range 1·5-1·7 million) in those aged 25 years or older: 96% of lives saved were aged 60 years or older and 52% were aged 80 years or older; first boosters saved 51% of lives, and 60% were saved during the Omicron period. Interpretation: Over nearly 2·5 years, most lives saved by COVID-19 vaccination were in older adults by first booster dose and during the Omicron period, reinforcing the importance of up-to-date vaccination among the most at-risk individuals. Further modelling work should evaluate indirect effects of vaccination and public health and social measures.
- Excess all-cause mortality during the COVID-19 pandemic in Europe – preliminary pooled estimates from the EuroMOMO network, March to April 2020Publication . Vestergaard, Lasse S.; Nielsen, Jens; Richter, Lukas; Schmid, Daniela; Bustos, Natalia; Braeye, Toon; Denissov, Gleb; Veideman, Tatjana; Luomala, Oskari; Möttönen, Teemu; Fouillet, Anne; Caserio-Schönemann, Céline; an der Heiden, Matthias; Uphoff, Helmut; Lytras, Theodore; Gkolfinopoulou, Kassiani; Paldy, Anna; Domegan, Lisa; O'Donnell, Joan; de’ Donato, Francesca; Noccioli, Fiammetta; Hoffmann, Patrick; Velez, Telma; England, Kathleen; van Asten, Liselotte; White, Richard A.; Tønnessen, Ragnhild; Silva, Susana Pereira; Rodrigues, Ana Paula; Larrauri, Amparo; Delgado-Sanz, Concepción; Farah, Ahmed; Galanis, Ilias; Junker, Christoph; Perisa, Damir; Sinnathamby, Mary; Andrews, Nick; O'Doherty, Mark; Marquess, Diogo F.P.; Kennedy, Sharon; Olsen, Sonja J.; Pebody, Richard; Krause, Tyra G.; Mølbak, KåreA remarkable excess mortality has coincided with the COVID-19 pandemic in Europe. We present preliminary pooled estimates of all-cause mortality for 24 European countries/federal states participating in the European monitoring of excess mortality for public health action (EuroMOMO) network, for the period March–April 2020. Excess mortality particularly affected ≥ 65 year olds (91% of all excess deaths), but also 45–64 (8%) and 15–44 year olds (1%). No excess mortality was observed in 0–14 year olds.
- FluHMM: a simple and flexible Bayesian algorithm for sentinel influenza surveillance and outbreak detectionPublication . Lytras, Theodore; Gkolfinopoulou, Kassiani; Bonovas, Stefanos; Nunes, BaltazarTimely detection of the seasonal influenza epidemic is important for public health action. We introduce FluHMM, a simple but flexible Bayesian algorithm to detect and monitor the seasonal epidemic on sentinel surveillance data. No comparable historical data are required for its use. FluHMM segments a typical influenza surveillance season into five distinct phases with clear interpretation (pre-epidemic, epidemic growth, epidemic plateau, epidemic decline and post-epidemic) and provides the posterior probability of being at each phase for every week in the period under surveillance, given the available data. An alert can be raised when the probability that the epidemic has started exceeds a given threshold. An accompanying R package facilitates the application of this method in public health practice. We apply FluHMM on 12 seasons of sentinel surveillance data from Greece, and show that it achieves very good sensitivity, timeliness and perfect specificity, thereby demonstrating its usefulness. We further discuss advantages and limitations of the method, providing suggestions on how to apply it and highlighting potential future extensions such as with integrating multiple surveillance data streams.