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Dive into the research topics where Camelia Savulescu is active.

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Featured researches published by Camelia Savulescu.


PLOS ONE | 2011

I-MOVE Multi-Centre Case Control Study 2010-11: Overall and Stratified Estimates of Influenza Vaccine Effectiveness in Europe

Esther Kissling; Marta Valenciano; Jean Marie Cohen; B. Oroszi; Anne-Sophie Barret; Caterina Rizzo; Pawel Stefanoff; Baltazar Nunes; Daniela Pitigoi; Amparo Larrauri; Isabelle Daviaud; Judit Krisztina Horváth; J. O'Donnell; Thomas Seyler; Iwona Paradowska-Stankiewicz; Pedro Pechirra; Alina Ivanciuc; Silvia Jiménez-Jorge; Camelia Savulescu; Bruno Christian Ciancio; A. Moren

Background In the third season of I-MOVE (Influenza Monitoring Vaccine Effectiveness in Europe), we undertook a multicentre case-control study based on sentinel practitioner surveillance networks in eight European Union (EU) member states to estimate 2010/11 influenza vaccine effectiveness (VE) against medically-attended influenza-like illness (ILI) laboratory-confirmed as influenza. Methods Using systematic sampling, practitioners swabbed ILI/ARI patients within seven days of symptom onset. We compared influenza-positive to influenza laboratory-negative patients among those meeting the EU ILI case definition. A valid vaccination corresponded to > 14 days between receiving a dose of vaccine and symptom onset. We used multiple imputation with chained equations to estimate missing values. Using logistic regression with study as fixed effect we calculated influenza VE adjusting for potential confounders. We estimated influenza VE overall, by influenza type, age group and among the target group for vaccination. Results We included 2019 cases and 2391 controls in the analysis. Adjusted VE was 52% (95% CI 30-67) overall (N = 4410), 55% (95% CI 29-72) against A(H1N1) and 50% (95% CI 14-71) against influenza B. Adjusted VE against all influenza subtypes was 66% (95% CI 15-86), 41% (95% CI -3-66) and 60% (95% CI 17-81) among those aged 0-14, 15-59 and ≥60 respectively. Among target groups for vaccination (N = 1004), VE was 56% (95% CI 34-71) overall, 59% (95% CI 32-75) against A(H1N1) and 63% (95% CI 31-81) against influenza B. Conclusions Results suggest moderate protection from 2010-11 trivalent influenza vaccines against medically-attended ILI laboratory-confirmed as influenza across Europe. Adjusted and stratified influenza VE estimates are possible with the large sample size of this multi-centre case-control. I-MOVE shows how a network can provide precise summary VE measures across Europe.


BMC Public Health | 2011

Using surveillance data to estimate pandemic vaccine effectiveness against laboratory confirmed influenza A(H1N1)2009 infection: two case-control studies, Spain, season 2009-2010

Camelia Savulescu; Silvia Jiménez-Jorge; Salvador de Mateo; Francisco del Pozo; Inmaculada Casas; Pilar Pérez Breña; Antònia Galmés; J M Vanrell; Carolina Rodriguez; Tomás Vega; Ana Martínez; Nuria Torner; Julián Mauro Ramos; M C Serrano; Jesús Castilla; Manuel García Cenoz; Jone M. Altzibar; José M. Arteagoitia; Carmen Quiñones; Milagros Perucha; Amparo Larrauri

BackgroundPhysicians of the Spanish Influenza Sentinel Surveillance System report and systematically swab patients attended to their practices for influenza-like illness (ILI). Within the surveillance system, some Spanish regions also participated in an observational study aiming at estimating influenza vaccine effectiveness (cycEVA study). During the season 2009-2010, we estimated pandemic influenza vaccine effectiveness using both the influenza surveillance data and the cycEVA study.MethodsWe conducted two case-control studies using the test-negative design, between weeks 48/2009 and 8/2010 of the pandemic season. The surveillance-based study included all swabbed patients in the sentinel surveillance system. The cycEVA study included swabbed patients from seven Spanish regions. Cases were laboratory-confirmed pandemic influenza A(H1N1)2009. Controls were ILI patients testing negative for any type of influenza. Variables collected in both studies included demographic data, vaccination status, laboratory results, chronic conditions, and pregnancy. Additionally, cycEVA questionnaire collected data on previous influenza vaccination, smoking, functional status, hospitalisations, visits to the general practitioners, and obesity. We used logistic regression to calculate adjusted odds ratios (OR), computing pandemic influenza vaccine effectiveness as (1-OR)*100.ResultsWe included 331 cases and 995 controls in the surveillance-based study and 85 cases and 351 controls in the cycEVA study. We detected nine (2.7%) and two (2.4%) vaccine failures in the surveillance-based and cycEVA studies, respectively. Adjusting for variables collected in surveillance database and swabbing month, pandemic influenza vaccine effectiveness was 62% (95% confidence interval (CI): -5; 87). The cycEVA vaccine effectiveness was 64% (95%CI: -225; 96) when adjusting for common variables with the surveillance system and 75% (95%CI: -293; 98) adjusting for all variables collected.ConclusionPoint estimates of the pandemic influenza vaccine effectiveness suggested a protective effect of the pandemic vaccine against laboratory-confirmed influenza A(H1N1)2009 in the season 2009-2010. Both studies were limited by the low vaccine coverage and the late start of the vaccination campaign. Routine influenza surveillance provides reliable estimates and could be used for influenza vaccine effectiveness studies in future seasons taken into account the surveillance system limitations.


Revista Portuguesa De Pneumologia | 2012

Influenza-related mortality in Spain. 1999-2005

Teresa López-Cuadrado; Salvador de Mateo; Silvia Jiménez-Jorge; Camelia Savulescu; Amparo Larrauri

OBJECTIVE To estimate the excess deaths attributed to influenza in Spain, using age-specific generalized linear models (GLM) and the Serfling model for the period 1999-2005. METHOD We reviewed mortality from influenza and pneumonia and all-cause deaths. We used an additive GLM procedure, including the numbers of weekly deaths as a response variable and the number of influenza virus and respiratory syncytial virus weekly isolates, the population and two variables to adjust for annual fluctuations as covariates. Using the Serfling model, we removed the trend and applied a temporal regression model, excluding data from December to April to account for the expected baseline mortality in the absence of influenza activity. RESULTS Globally, the excess mortality attributable to influenza was 1.1 deaths per 100,000 for influenza and pneumonia and 11 all-cause deaths per 100,000 using the GLM model. The highest mortality rates were obtained with the Serfling model in adults older than 64 years, with an excess mortality attributable to influenza of 57 and 164 deaths per 100,000 for influenza and pneumonia and all-cause, respectively. CONCLUSIONS The GLM model, which takes viral activity into account, yields systematically lower estimates of excess mortality than the Serfling model. The GLM model provides independent estimates associated with the activity of different viruses and even with other factors, which is a significant advantage when trying to understand the impact of viral respiratory infections on mortality in the Spanish population.


Emerging Infectious Diseases | 2014

Trends in Infectious Disease Mortality Rates, Spain, 1980–2011

Teresa López-Cuadrado; Alicia Llácer; Rocío Palmera-Suárez; Diana Gómez-Barroso; Camelia Savulescu; Paloma González-Yuste; Rafael Fernández-Cuenca

Surveillance and control systems should be reinforced to provide reliable data.


Thorax | 2018

Effect of childhood pneumococcal conjugate vaccination on invasive disease in older adults of 10 European countries: implications for adult vaccination

Germaine Hanquet; Pavla Krizova; Palle Valentiner-Branth; Shamez Ladhani; J. Pekka Nuorti; Agnes Lepoutre; Jolita Mereckiene; Mirjam J. Knol; Brita Askeland Winje; Pilar Ciruela; Maria Ordobas; Marcela Guevara; Eisin McDonald; Eva Morfeldt; Jana Kozakova; Hans-Christian Slotved; Norman K. Fry; Hanna Rinta-Kokko; Emmanuelle Varon; Mary Corcoran; Arie van der Ende; Didrik F. Vestrheim; Carmen Muñoz-Almagro; Pello Latasa; Jesús Castilla; Andrew Paul Smith; Birgitta Henriques-Normark; Robert Whittaker; Lucia Pastore Celentano; Camelia Savulescu

Background Pneumococcal conjugate vaccines (PCVs) have the potential to prevent pneumococcal disease through direct and indirect protection. This multicentre European study estimated the indirect effects of 5-year childhood PCV10 and/or PCV13 programmes on invasive pneumococcal disease (IPD) in older adults across 13 sites in 10 European countries, to support decision-making on pneumococcal vaccination policies. Methods For each site we calculated IPD incidence rate ratios (IRR) in people aged ≥65 years by serotype for each PCV10/13 year (2011–2015) compared with 2009 (pre-PCV10/13). We calculated pooled IRR and 95% CI using random-effects meta-analysis and PCV10/13 effect as (1 − IRR)*100. Results After five PCV10/13 years, the incidence of IPD caused by all types, PCV7 and additional PCV13 serotypes declined 9% (95% CI −4% to 19%), 77% (95% CI 67% to 84%) and 38% (95% CI 19% to 53%), respectively, while the incidence of non-PCV13 serotypes increased 63% (95% CI 39% to 91%). The incidence of serotypes included in PCV13 and not in PCV10 decreased 37% (95% CI 22% to 50%) in six PCV13 sites and increased by 50% (95% CI −8% to 146%) in the four sites using PCV10 (alone or with PCV13). In 2015, PCV13 serotypes represented 20–29% and 32–53% of IPD cases in PCV13 and PCV10 sites, respectively. Conclusion Overall IPD incidence in older adults decreased moderately after five childhood PCV10/13 years in 13 European sites. Large declines in PCV10/13 serotype IPD, due to the indirect effect of childhood vaccination, were countered by increases in non-PCV13 IPD, but these declines varied according to the childhood vaccine used. Decision-making on pneumococcal vaccination for older adults must consider the indirect effects of childhood PCV programmes. Sustained monitoring of IPD epidemiology is imperative.


Eurosurveillance | 2009

I-MOVE towards monitoring seasonal and pandemic influenza vaccine effectiveness: lessons learnt from a pilot multi-centric case-control study in Europe, 2008-9.

Esther Kissling; Marta Valenciano; José Marinho Falcão; Amparo Larrauri; K. Widgren; Daniela Pitigoi; B. Oroszi; Baltazar Nunes; Camelia Savulescu; A Mazick; Emilia Lupulescu; Bruno Christian Ciancio; A. Moren


Vaccine | 2010

Estimating the influenza vaccine effectiveness in elderly on a yearly basis using the Spanish influenza surveillance network - pilot case-control studies using different control groups, 2008-2009 season, Spain.

Camelia Savulescu; Marta Valenciano; Salvador de Mateo; Amparo Larrauri


Gaceta Sanitaria | 2010

Incidencia y factores de riesgo de gastroenteritis en los peregrinos del Camino de Santiago durante el verano de 2008 en el camino francés

Jaume Giménez Duran; Miguel Ángel Luque Fernández; Johana Rodríguez Urrego; Cristina Linares Gil; Luis A. Bonilla Vargas; Camelia Savulescu; Guerrier Clerger; Lucia Martínez-Lamas; Anxela Pousa; Juan de Mata Donado; Dionisio Herrera; María Victoria Martínez


11th International Symposium on Pneumococci and Pneumococcal Diseases | 2018

Effectiveness of the 23-valent pneumococcal polysaccharide vaccine against Invasive Pneumococcal Disease incidence in European adults aged 65 years and above: results of SpIDnet/I-MOVE+ multicentre study (2012-2016)

Camelia Savulescu; Palle Valentiner-Branth; Jolita Mereckiene; Brita Askeland Winje; Pilar Ciruela; P. Latasa; Marcela Guevara; Raymond Carragher; T. Dalby; Mary Corcoran; Didrik F. Vestrheim; Carmen Muñoz-Almagro; J.C. Sanz; Jesús Castilla; Andrew Paul Smith; E. Colzani; L. Pastore-Celentano; Germaine Hanquet


I-MOVE+ Pneumo/ SpIDnet Annual Meeting, 8-9 June2017 | 2017

PPV23 effectiveness against IPD in the elderly: Preliminary pooled analysis of data from 7 EU sites

Camelia Savulescu; Palle Valentiner-Branth; Jolita Mereckiene; Brita Askeland Winje; Pilar Ciruela; P. Latasa; Marcela Guevara; Eisin McDonald; Hans-Christian Slotved; Mary Corcoran; Didrik F. Vestrheim; Carmen Muñoz-Almagro; J.C. Sanz; Jesús Castilla; Raymond Carragher; Robert Whittaker; L. Pastore-Celentano; Germaine Hanquet

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Amparo Larrauri

Instituto de Salud Carlos III

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Silvia Jiménez-Jorge

Instituto de Salud Carlos III

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Salvador de Mateo

Instituto de Salud Carlos III

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Marta Valenciano

European Centre for Disease Prevention and Control

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