Percorrer por autor "Robertson, Chris"
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- 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?Publication . Kissling, Esther; Nunes, Baltazar; Robertson, Chris; Valenciano, Marta; Reuss, Annicka; Larrauri, Amparo; Cohen, Jean Marie; Oroszi, Beatrix; Rizzo, Caterina; Machado, Ausenda; Pitigoi, Daniela; Domegan, Lisa; Paradowska-Stankiewicz, Iwona; Buchholz, Udo; Gherasim, Alin; Daviaud, Isabelle; Horváth, Judit Krisztina; Bella, Antonino; Lupulescu, Emilia; O Donnell, Joan; Korczyńska, Monika; Moren, Alain; I-MOVE case–control study teamSince 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.
- Recommendations for estimating and reporting vaccine effectiveness by time since vaccination: a COVID-19 case studyPublication . Kissling, Esther; Nunes, Baltazar; Hooiveld, Mariëtte; Martínez-Baz, Iván; Monge, Susana; Robertson, Chris; Knolm, Mirjam; Sève, Noémie; Mlinarić, Ivan; Domegan, Lisa; Machado, Ausenda; Whitaker, Heather; Lazar, Mihaela; Meijer, Adam; Enkirch, Theresa; Casado, Itziar; Pérez-Gimeno, Gloria; William, Naoma; Enouf, Vincent; Kurečić Filipović, Sanja; McKenna, Adele; Rodrigues, Ana Paula; de Lusignan, Simon; Timnea, Olivia-Carmen; Latorre-Margalef, Neus; Castilla, Jesús; Pozo, Francisco; Hamilton, Mark; Masse, Shirley; Ilić, Maja; Basile, Luca; O’Donnell, Joan; Guiomar, Raquel; Riess, Maximilian; Popescu, Rodica-Manuela; M C Rose, Angela; Andrews, Nick; Bacci, Sabrina; Pastore Celentano, Lucia; Valenciano, Marta; Moren, Alain; Beutels, Philippe; Hens, Niel; I-MOVE-COVID-19 and ECDC primary care study teamsEstimating COVID-19 vaccine effectiveness (VE) by time since vaccination (TSV) is essential for understanding how protection may change over time and enables meaningful comparisons across studies. This is important for accurate comparisons of VE against different SARS-CoV-2 variants/sublineages, across age groups, during different periods post vaccination campaign, or by vaccine type/brand. We provide recommendations for case–control VE studies on estimating and reporting VE analyses by TSV, with the aim of improving quality of these estimates. Our recommendations cover study design and pre-analysis considerations, descriptive analyses, choice of categories of TSV, categorical and continuous modelling approaches, and best practices for reporting VE by TSV. Using a real-life case–control study, we apply these recommendations, and include accompanying statistical scripts in R and Stata. These recommendations will serve as a practical resource for researchers conducting VE analyses by TSV. We encourage ongoing refinement of them through input from other study groups.
