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Online course: Introduction to Bioinformatics for Medical doctors and other Healthcare professionals which the course opening day was 20 of February, 2020
BioS: BioS-ENx
Poster award in the conference Spatial Statistics 2013 celebrated in the Ohio State University. Date: 4-7 June, 2013
conference Spatial Statistics 2013
I have a degree in Mathematics from the Universitat Autònoma de Barcelona (UAB), a Master in Mathematics for Financial Instruments from the same University (UAB), and a Ph.D. in Statistics from the University of Girona (UdG). During my Ph.D., I made two pre-doctoral stays in international research centers: the Biostatistics at the University of Florence (Italy) and the Norwegian University of Science and Technology (NTNU), Trondheim (Norway). After finishing my Ph.D. in 2013, I worked for a year and a half at the University of Sassari (Italy) as a postdoctoral researcher. From 2015-2019 I worked as a professor of epidemiology and biostatistics methods at Pompeu Fabra University (UPF) and I was a research member at the Center for Health Research (CISAL), a group with which I continue to collaborate. I have published 23 academic articles in JCR journals. My research lines focused, on the one hand, on statistics and environmental modeling, and on the other, on the study of the impact of the labor market participation on the health of workers (in particular, sickness absence) from a longitudinal approach. I am currently a professor and researcher in the area of Quantitative Methods for Economics and Business at the University of Girona (UdG) and I am a member of the Research Group in Statistics, Econometrics and Health (GRECS) and of the Biomedical Research Centre Network (CIBER) in Epidemiology and Public Health.
Project Goal: Health effects on employment
Current Stage: kick-off
Project Goal: Different forms of sexual violence in a representative sample of Spanish youth
Current Stage: Data collection
Project Goal: Evaluation of the impact of social benefits on the relationship between career path and mortality from causes
Current Stage: Writing articles
Purpose Entrepreneurship requires the attitudes and capabilities needed to begin new and innovative projects able to create positive impacts in the economy of a society. Given that it forms the basis from which new companies, products and innovations emerge, it is a very relevant term in business. With the aim of strengthening these capabilities, many universities are incorporating new educational strategies into their curricula to boost entrepreneurial intention and business skills among their students. This study aims to determine the factors that intervene in the entrepreneurial spirit of students in Spanish universities by examining areas of study, different personal and contextual characteristics, and the type of training students receive in entrepreneurship. Design/methodology/approach Data collected from 33,182 students in 77 Spanish universities in the 2018 edition of the Global University Entrepreneurial Spirit Students' Survey (GUESSS) is examined in an exhaustive univariate and bivariate descriptive and inferential analysis. Furthermore, the relationship between the entrepreneurial index and the different explicative variables is modelled, and a basic random effect for the area of study is introduced to detect differences at this level. Findings Economics, engineering and health sciences presented higher than average entrepreneurial indices. Regarding the type of training, only voluntary education in entrepreneurship influenced entrepreneurial spirit, albeit not equally in all areas of study. Originality/value This study’s results can help universities to incorporate new educational strategies into their curricula to boost entrepreneurial intention and business skills among students by focusing resources where they are most efficient.
Gemma Renart Vicens; Laura Vall-Llosera Casanovas; Carme Saurina Canals; Laura Serra. Entrepreneurship analysis in Spanish universities. Higher Education, Skills and Work-Based Learning 2021, ahead-of-p, 1 .
AMA StyleGemma Renart Vicens, Laura Vall-Llosera Casanovas, Carme Saurina Canals, Laura Serra. Entrepreneurship analysis in Spanish universities. Higher Education, Skills and Work-Based Learning. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleGemma Renart Vicens; Laura Vall-Llosera Casanovas; Carme Saurina Canals; Laura Serra. 2021. "Entrepreneurship analysis in Spanish universities." Higher Education, Skills and Work-Based Learning ahead-of-p, no. ahead-of-p: 1.
Republic of Maldives is located on the south and south-western region of the coast of India. The country is one of the most geographically dispersed nations in the world, with 1192 coral islands grouped into 26 natural atolls in the middle of the Indian Ocean. A descriptive study of its climatic conditions is presented in this work. We have used geostatistical technique of kriging (described below) for the estimation of meteorological variables. Complexity related to the structure of the region, with diverse distribution of islands of varying sizes, is discussed in connection to the analysis. Climatic characteristics explored in the current work indicate the need for subsequent studies of seasonal patterns in climate change, especially temperatures and precipitation across the country, and also to identify the effect of extreme climatic conditions and natural disasters such as Tsunamis. The results do not show periodicity over the study period. It emphasizes that climatic patterns appearing in the study area must be analyzed more extensively over time, with the inclusion of a greater number of meteorological stations for precise spatio-temporal analysis.
Somnath Chaudhuri; Pablo Juan; Laura Serra. Analysis of precise climate pattern of Maldives. A complex island structure. Regional Studies in Marine Science 2021, 44, 101789 .
AMA StyleSomnath Chaudhuri, Pablo Juan, Laura Serra. Analysis of precise climate pattern of Maldives. A complex island structure. Regional Studies in Marine Science. 2021; 44 ():101789.
Chicago/Turabian StyleSomnath Chaudhuri; Pablo Juan; Laura Serra. 2021. "Analysis of precise climate pattern of Maldives. A complex island structure." Regional Studies in Marine Science 44, no. : 101789.
Rare variants are thought to play an important role in the etiology of complex diseases and may explain a significant fraction of the missing heritability in genetic disease studies. Next-generation sequencing facilitates the association of rare variants in coding or regulatory regions with complex diseases in large cohorts at genome-wide scale. However, rare variant association studies (RVAS) still lack power when cohorts are small to medium-sized and if genetic variation explains a small fraction of phenotypic variance. Here we present a novel Bayesian rare variant Association Test using Integrated Nested Laplace Approximation (BATI). Unlike existing RVAS tests, BATI allows integration of individual or variant-specific features as covariates, while efficiently performing inference based on full model estimation. We demonstrate that BATI outperforms established RVAS methods on realistic, semi-synthetic whole-exome sequencing cohorts, especially when using meaningful biological context, such as functional annotation. We show that BATI achieves power above 70% in scenarios in which competing tests fail to identify risk genes, e.g. when risk variants in sum explain less than 0.5% of phenotypic variance. We have integrated BATI, together with five existing RVAS tests in the ‘Rare Variant Genome Wide Association Study’ (rvGWAS) framework for data analyzed by whole-exome or whole genome sequencing. rvGWAS supports rare variant association for genes or any other biological unit such as promoters, while allowing the analysis of essential functionalities like quality control or filtering. Applying rvGWAS to a Chronic Lymphocytic Leukemia study we identified eight candidate predisposition genes, including EHMT2 and COPS7A.
Hana Susak; Laura Serra-Saurina; German Demidov; Raquel Rabionet; Laura Domènech; Mattia Bosio; Francesc Muyas; Xavier Estivill; Geòrgia Escaramís; Stephan Ossowski. Efficient and flexible Integration of variant characteristics in rare variant association studies using integrated nested Laplace approximation. PLOS Computational Biology 2021, 17, e1007784 .
AMA StyleHana Susak, Laura Serra-Saurina, German Demidov, Raquel Rabionet, Laura Domènech, Mattia Bosio, Francesc Muyas, Xavier Estivill, Geòrgia Escaramís, Stephan Ossowski. Efficient and flexible Integration of variant characteristics in rare variant association studies using integrated nested Laplace approximation. PLOS Computational Biology. 2021; 17 (2):e1007784.
Chicago/Turabian StyleHana Susak; Laura Serra-Saurina; German Demidov; Raquel Rabionet; Laura Domènech; Mattia Bosio; Francesc Muyas; Xavier Estivill; Geòrgia Escaramís; Stephan Ossowski. 2021. "Efficient and flexible Integration of variant characteristics in rare variant association studies using integrated nested Laplace approximation." PLOS Computational Biology 17, no. 2: e1007784.
The principal objective of this article is to assess the possible association between the number of COVID-19 infected cases and the concentrations of fine particulate matter (PM2.5) and ozone (O3), atmospheric pollutants related to people’s mobility in urban areas, taking also into account the effect of meteorological conditions. We fit a generalized linear mixed model which includes spatial and temporal terms in order to detect the effect of the meteorological elements and COVID-19 infected cases on the pollutant concentrations. We consider nine counties of the state of New York which registered the highest number of COVID-19 infected cases. We implemented a Bayesian method using integrated nested Laplace approximation (INLA) with a stochastic partial differential equation (SPDE). The results emphasize that all the components used in designing the model contribute to improving the predicted values and can be included in designing similar real-world data (RWD) models. We found only a weak association between PM2.5 and ozone concentrations with COVID-19 infected cases. Records of COVID-19 infected cases and other covariates data from March to May 2020 were collected from electronic health records (EHRs) and standard RWD sources.
Carlos Díaz-Avalos; Pablo Juan; Somnath Chaudhuri; Marc Sáez; Laura Serra. Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State. International Journal of Environmental Research and Public Health 2020, 17, 9055 .
AMA StyleCarlos Díaz-Avalos, Pablo Juan, Somnath Chaudhuri, Marc Sáez, Laura Serra. Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State. International Journal of Environmental Research and Public Health. 2020; 17 (23):9055.
Chicago/Turabian StyleCarlos Díaz-Avalos; Pablo Juan; Somnath Chaudhuri; Marc Sáez; Laura Serra. 2020. "Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State." International Journal of Environmental Research and Public Health 17, no. 23: 9055.
In recent years, various academic studies have proposed crime forecasting models based on the concept of repeat victimization. Some of them have been modelled from the area of differential equations and others from the perspective of spatio-temporal statistics, within the framework of point processes. These models have tended towards a certain sophistication in their formulation, which at times impedes understanding of the predictive mechanism and how it adapts to different realities. Predictive models that function well in one environment or society do not appear to do so in others. In this article, the possibility of crime forecasting for burglaries with forced entry in Catalonia is studied from the perspective of near repeat victimization on a larger territorial scale than is usual. To this effect, the explicative and predictive possibilities of this criminological theory are explored and a predictive system that does not require mathematical or statistical models is proposed. We found that a large part of the series of burglaries with forced entry in residences in Catalonia between 2014 and 2015 follow patterns of near repeat victimization. In addition, the average intensity of burglaries in space–time was high, as was the standard deviation. This system is adaptable to different environments and gives police forces the opportunity to improve preventative strategies and to optimize resources using standard tools. Last, the limitations of this approach are debated and new lines of investigation proposed that could increase its predictive capacity without abandoning the concept of repeat victimization.
Pere Boqué; Laura Serra; Marc Saez. ‘Surfing’ burglaries with forced entry in Catalonia: Large-scale testing of near repeat victimization theory. European Journal of Criminology 2020, 1 .
AMA StylePere Boqué, Laura Serra, Marc Saez. ‘Surfing’ burglaries with forced entry in Catalonia: Large-scale testing of near repeat victimization theory. European Journal of Criminology. 2020; ():1.
Chicago/Turabian StylePere Boqué; Laura Serra; Marc Saez. 2020. "‘Surfing’ burglaries with forced entry in Catalonia: Large-scale testing of near repeat victimization theory." European Journal of Criminology , no. : 1.
An amendment to this paper has been published and can be accessed via the original article.
Julio C. Hernando-Rodriguez; Laura Serra; Fernando G. Benavides; Monica Ubalde-Lopez. Correction to: Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014. BMC Public Health 2020, 20, 1 -3.
AMA StyleJulio C. Hernando-Rodriguez, Laura Serra, Fernando G. Benavides, Monica Ubalde-Lopez. Correction to: Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014. BMC Public Health. 2020; 20 (1):1-3.
Chicago/Turabian StyleJulio C. Hernando-Rodriguez; Laura Serra; Fernando G. Benavides; Monica Ubalde-Lopez. 2020. "Correction to: Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014." BMC Public Health 20, no. 1: 1-3.
Background Previous studies have focused on the relationship between employment pathways and health-related outcomes based on cross-sectional or longitudinal approaches. However, little is known about the cumulative effects of employment status mobility on sickness absence (SA) over time. The aim of the present study was to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life-course perspective. Methods This cohort study was based on a sample of 11,968 salaried workers living in Catalonia and affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA in at least one quarter during 2012–2014. Individuals were grouped into three different working life stages: early (18–25 years), middle (26–35 years), and late (36–45 years). To identify LMP patterns, we applied sequence analysis and cluster analysis (2002–2011), and we used latent class growth modelling to identify SA trajectories (2012–2014). Finally, we applied multinomial logistic regression models to assess the relationship between LMP patterns and SA trajectories. Results The analyses yielded six LMP patterns: stable employment (value range: 63–81%), increasing employment (5–22%), without long-term coverage (7–8%), decreasing employment (4–10%), fluctuant employment (13–14%), and steeply decreasing employment (7–9%). We also identified four SA trajectories: low stable (83–88%), decreasing (5–9%), increasing (5–11%), and high stable (7–16%). However, the only significant association we identified for LMP patterns and SA trajectories was among young men, for whom an increasing employment pattern was significantly associated with a lower risk for increased days on SA (adjusted odds ratio: 0.21; 95% confidence interval: 0.05–0.96). Conclusions SA trajectories are generally not related to prior 10-year LMP patterns at any stage of working life. To disentangle this relationship, future research might benefit from considering working life transitions with a quality-of-work approach framed with contextual factors closer to the SA course.
Julio C. Hernando-Rodriguez; Laura Serra; Fernando G. Benavides; Monica Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014. BMC Public Health 2020, 20, 1 -16.
AMA StyleJulio C. Hernando-Rodriguez, Laura Serra, Fernando G. Benavides, Monica Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014. BMC Public Health. 2020; 20 (1):1-16.
Chicago/Turabian StyleJulio C. Hernando-Rodriguez; Laura Serra; Fernando G. Benavides; Monica Ubalde-Lopez. 2020. "Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012–2014." BMC Public Health 20, no. 1: 1-16.
Background Previous studies have focused on the relationship between employment pathways and health-related outcomes based on cross-sectional or longitudinal approaches. However, little is known about the cumulative effects of employment status mobility on sickness absence (SA) over time. The aim of the present study was to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life-course perspective. Methods This cohort study was based on a sample of 11,968 salaried workers living in Catalonia and affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA in at least one quarter during 2012–2014. Individuals were grouped into three different working life stages: early (18–25 years), middle (26–35 years), and late (36–45 years). To identify LMP patterns, we applied sequence analysis and cluster analysis (2002–2011), and we used latent class growth modelling to identify SA trajectories (2012–2014). Finally, we applied multinomial logistic regression models to assess the relationship between LMP patterns and SA trajectories. Results The analyses yielded six LMP patterns: stable employment (value range: 63%–81%), increasing employment (5%–22%), without long-term coverage (7%–8%), decreasing employment (4%–10%), fluctuant employment (13%–14%), and steeply decreasing employment (7%–9%). We also identified four SA trajectories: low stable (83%–88%), decreasing (5%–9%), increasing (5%–11%), and high stable (7%–16%). However, the only significant association we identified for LMP patterns and SA trajectories was among young men, for whom an increasing employment pattern was significantly associated with a lower risk for increased days on SA (adjusted odds ratio: 0.21; 95% confidence interval: 0.05–0.96). Conclusions SA trajectories are generally not related to prior 10-year LMP patterns at any stage of working life. To disentangle this relationship, future research might benefit from considering working life transitions with a quality-of-work approach framed with contextual factors closer to the SA course.
Jc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. 2020, 1 .
AMA StyleJc Hernando-Rodriguez, L Serra, Fg Benavides, M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. . 2020; ():1.
Chicago/Turabian StyleJc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. 2020. "Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014." , no. : 1.
Background Previous studies have focused on the relationship between employment pathways and health-related outcomes based on cross-sectional or longitudinal approaches. However, little is known about the cumulative effects of employment status mobility on sickness absence (SA) over time. The aim of the present study was to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life-course perspective.Methods This cohort study was based on a sample of 11,968 salaried workers living in Catalonia and affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA in at least one quarter during 2012–2014. Individuals were grouped into three different working life stages: early (18–25 years), middle (26–35 years), and late (36–45 years). To identify LMP patterns, we applied sequence analysis and cluster analysis (2002–2011), and we used latent class growth modelling to identify SA trajectories (2012–2014). Finally, we applied multinomial logistic regression models to assess the relationship between LMP patterns and SA trajectories.Results The analyses yielded six LMP patterns: stable employment (value range: 63%–81%), increasing employment (5%–22%), without long-term coverage (7%–8%), decreasing employment (4%–10%), fluctuant employment (13%–14%), and steeply decreasing employment (7%–9%). We also identified four SA trajectories: low stable (83%–88%), decreasing (5%–9%), increasing (5%–11%), and high stable (7%–16%). However, the only significant association we identified for LMP patterns and SA trajectories was among young men, for whom an increasing employment pattern was significantly associated with a lower risk for increased days on SA (adjusted odds ratio: 0.21; 95% confidence interval: 0.05–0.96).Conclusions SA trajectories are generally not related to prior 10-year LMP patterns at any stage of working life. To disentangle this relationship, future research might benefit from considering working life transitions with a quality-of-work approach framed with contextual factors closer to the SA course.
Jc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. 2020, 1 .
AMA StyleJc Hernando-Rodriguez, L Serra, Fg Benavides, M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. . 2020; ():1.
Chicago/Turabian StyleJc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. 2020. "Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014." , no. : 1.
Background Previous studies have focused on the relationship between employment pathways and health-related outcomes based on cross-sectional or longitudinal approaches. However, little is known about the cumulative effects of employment status mobility on sickness absence (SA) over time. The aim of the present study was to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life-course perspective. Methods This cohort study was based on a sample of 11,968 salaried workers affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA in at least one quarter during 2012–2014. Individuals were grouped into three different working life stages: early (18–25 years), middle (26–35 years), and late (36–45 years). To identify LMP patterns, we applied sequence analysis and cluster analysis (2002–2011), and we used latent class growth modelling to identify SA trajectories (2012–2014). Finally, we applied multinomial logistic regression models to assess the relationship between LMP patterns and SA trajectories. Results The analyses yielded six LMP patterns: stable employment (63%–81%), increasing employment (5%–22%), without long-term coverage (7%–8%), decreasing employment (4%–10%), fluctuant employment (13%–14%), and steeply decreasing employment (7%–9%). We also identified four SA trajectories: low stable (value range: 83%–88%), decreasing (5%–9%), increasing (5%–11%), and high stable (7%–16%). However, the only significant association we identified for LMP patterns and SA trajectories was among young men, for whom an increasing employment pattern was significantly associated with a lower risk for increased days on SA (adjusted odds ratio: 0.21; 95% confidence interval: 0.05–0.96). Conclusions SA trajectories are generally not related to prior 10-year LMP patterns at any stage of working life. To disentangle this relationship, future research might benefit from considering working life transitions with a quality-of-work approach framed with contextual factors closer to the SA course.
Jc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. 2020, 1 .
AMA StyleJc Hernando-Rodriguez, L Serra, Fg Benavides, M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. . 2020; ():1.
Chicago/Turabian StyleJc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. 2020. "Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014." , no. : 1.
Background Previous studies have investigated the relationship between employment pathways and health-related outcomes based on cross-sectional or longitudinal approaches. However, little is known about the cumulative effects of employment status mobility on sickness absence (SA) over time. The present study aims to examine the association between prior labour market participation (LMP) patterns and SA trajectories from a life course perspective.Methods Cohort study based on a sample of 11,968 salaried workers affiliated with the Spanish Social Security system, who accumulated more than 15 days on SA at least in one quarter during 2012-2014. Individuals were grouped into three different working life stages: early (18-25 years), middle (26-35 years) and late (36-45 years). Sequence analysis and cluster analysis were applied to identify LMP patterns (2002-2011). Latent class growth modelling was used to identify SA trajectories (2012-2014). Finally, multinomial logistic regression models were applied to assess the relationship between LMP patterns and SA trajectories.Results First, seven LMP patterns were obtained: stable employment (63%-81%), increasing employment (5%-22%), without long-term coverage (7%-8%), decreasing employment (4%-10%), fluctuant employment (13%-14%), steeply inflow into unemployment (9%), and steeply labour market exit (7%-9%). Second, four SA trajectories were identified: low stable (values range: 83%-88%), decreasing (5%-9%), increasing (5%-11%) and high stable (7%-16%). Third, no significant associations were observed among LMP patterns and SA trajectories, except for young men, where an increasing employment pattern was significantly associated with a lower risk to increase days on SA (aOR: 0.21 [95% CI: 0.04-0.96]).Conclusions SA trajectories are not related to prior 10-year LMP patterns at any stage of working life. To disentangle this relationship, future research might benefit from considering working life transitions with a quality of work approach framed with contextual factors closer to the SA course.
Jc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. 2020, 1 .
AMA StyleJc Hernando-Rodriguez, L Serra, Fg Benavides, M Ubalde-Lopez. Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014. . 2020; ():1.
Chicago/Turabian StyleJc Hernando-Rodriguez; L Serra; Fg Benavides; M Ubalde-Lopez. 2020. "Sickness absence trajectories following labour market participation patterns: a cohort study in Catalonia (Spain), 2012-2014." , no. : 1.
Rare variants are thought to play an important role in the etiology of complex diseases and may explain a significant fraction of the missing heritability in genetic disease studies. Next-generation sequencing facilitates the association of rare variants in coding or regulatory regions with complex diseases in large cohorts at genome-wide scale. However, rare variant association studies (RVAS) still lack power when cohorts are small to medium-sized and if genetic variation explains a small fraction of phenotypic variance. Here we present a novel Bayesian rare variant Association Test using Integrated Nested Laplace Approximation (BATI). Unlike existing RVAS tests, BATI allows integration of individual or variant-specific features as covariates, while efficiently performing inference based on full model estimation. We demonstrate that BATI outperforms established RVAS methods on realistic, semi-synthetic whole-exome sequencing cohorts, especially when using meaningful biological context, such as functional annotation. We show that BATI achieves power above 75% in scenarios in which competing tests fail to identify risk genes, e.g. when risk variants in sum explain less than 0.5% of phenotypic variance. We have integrated BATI, together with five existing RVAS tests in the ‘Rare Variant Genome Wide Association Study’ (rvGWAS) framework for data analyzed by whole-exome or whole genome sequencing. rvGWAS supports rare variant association for genes or any other biological unit such as promoters, while allowing the analysis of essential functionalities like quality control or filtering. Applying rvGWAS to a Chronic Lymphocytic Leukemia study we identified eight candidate predisposition genes, including EHMT2 and COPS7A.Data availability and implementationAll relevant data are within the manuscript and pipeline implementation on https://github.com/hanasusak/rvGWASAuthor summaryComplex diseases are characterized by being related to genetic factors and environmental factors such as air pollution, diet etc. that together define the susceptibility of each individual to develop a given disease. Much effort has been applied to advance the knowledge of the genetic bases of such diseases, specially in the discovery of frequent genetic variants in the population increasing disease risk. However, these variants usually explain a little part of the etiology of such diseases. Previous studies have shown that rare variants, i.e. variants present in less than 1% of the population, may explain the rest of the variability related to genetic aspects of the disease.Genome sequencing offers the opportunity to discover rare variants, but powerful statistical methods are needed to discriminate those variants that induce susceptibility to the disease. Here we have developed a powerful and flexible statistical approach for the detection of rare variants associated with a disease and we have integrated it into a computer tool that is easy and intuitive for the researchers and clinicians to use. We have shown that our approach outperformed other common statistical methods specially in a situation where these variants explain just a small part of the disease. The discovery of these rare variants will contribute to the knowledge of the molecular mechanism of complex diseases.
Hana Susak; Laura Serra-Saurina; Raquel Rabionet Janssen; Laura Domènech; Mattia Bosio; Francesc Muyas; Xavier Estivill; Georgia Escaramis; Stephan Ossowsky. Efficient and Flexible Integration of Variant Characteristics in Rare Variant Association Studies Using Integrated Nested Laplace Approximation. 2020, 1 .
AMA StyleHana Susak, Laura Serra-Saurina, Raquel Rabionet Janssen, Laura Domènech, Mattia Bosio, Francesc Muyas, Xavier Estivill, Georgia Escaramis, Stephan Ossowsky. Efficient and Flexible Integration of Variant Characteristics in Rare Variant Association Studies Using Integrated Nested Laplace Approximation. . 2020; ():1.
Chicago/Turabian StyleHana Susak; Laura Serra-Saurina; Raquel Rabionet Janssen; Laura Domènech; Mattia Bosio; Francesc Muyas; Xavier Estivill; Georgia Escaramis; Stephan Ossowsky. 2020. "Efficient and Flexible Integration of Variant Characteristics in Rare Variant Association Studies Using Integrated Nested Laplace Approximation." , no. : 1.
Describir un sistema de vigilancia y monitorización basado en el análisis de la tasa de incidencia de la incapacidad permanente (IP) y la mortalidad prematura (MP) en una muestra de afiliados/as a la Seguridad Social española. Estudio de tres cohortes de nacimiento (1950-1959, 1960-1969 y 1970-1979) de personas afiliadas al régimen general de la Seguridad Social, incluidas en la Muestra Continua de Vidas Laborales, que han estado activas al menos un día entre 2004 y 2015 (N = 753.341). Para cada cohorte se estimaron las tasas anuales de incidencia de IP y MP según la ocupación y la actividad económica, y en hombres y mujeres por separado. Entre 2004 y 2015, las tasas de IP y MP mostraron valores más altos en los hombres que en las mujeres en prácticamente todas las cohortes de nacimiento, ocupaciones y actividades económicas. La tendencia durante el periodo de observación fue creciente, tanto en la incidencia de IP como de MP en hombres y mujeres, para las tres cohortes de nacimiento y para todas las categorías ocupacionales. Los resultados que se derivan de este trabajo permiten monitorizar de manera continua la evolución temporal de la incidencia de la incapacidad permanente y de la mortalidad prematura en una muestra representativa de afiliados/as a la Seguridad Social. To describe a surveillance and monitoring system based on the analysis of the incidence rate of permanent disability (PD) and premature mortality (PM) in a sample of members of the Spanish Social Security. Study of three birth cohorts (1950-1959, 1960-1969 and 1970-1979) of people affiliated to the general Social Security system, included in the Continuous Sample of Labour Lives, who has been active for at least one day between 2004 and 2015 (N = 753,341). For each cohort, the annual incidence rates of PD and MP were estimated according to occupation and economic activity in women and men. Between 2004 and 2015 the rates of PI and MP showed higher values in men with respect to women in practically all cohorts of births, occupations and economic activities groups. The trend throughout the observation period was increasing, both in the incidence of PD and PM in men and women, for the three birth cohorts and for all occupational categories. The results derived from this work allows the continuous monitoring of the temporal evolution of the incidence of permanent disability and premature mortality in a representative sample of social security affiliates.
Laura Serra Saurina; Mònica Ubalde-López; Fernando G. Benavides. Incapacidad permanente y mortalidad prematura en una cohorte de afiliados a la Seguridad Social en España, 2004-2015. Gaceta Sanitaria 2020, 35, 130 -137.
AMA StyleLaura Serra Saurina, Mònica Ubalde-López, Fernando G. Benavides. Incapacidad permanente y mortalidad prematura en una cohorte de afiliados a la Seguridad Social en España, 2004-2015. Gaceta Sanitaria. 2020; 35 (2):130-137.
Chicago/Turabian StyleLaura Serra Saurina; Mònica Ubalde-López; Fernando G. Benavides. 2020. "Incapacidad permanente y mortalidad prematura en una cohorte de afiliados a la Seguridad Social en España, 2004-2015." Gaceta Sanitaria 35, no. 2: 130-137.
A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of low-cost sensors, improving the spatial and temporal resolution of air quality data while increasing the effectiveness of risk assessment. The main objective of this work is to perform a validation of a particulate matter (PM) sensor (HM-3301) in indoor and outdoor environments to study PM2.5 and PM10 concentrations. To date, this sensor has not been evaluated in real-world situations, and its data quality has not been documented. Here, the HM-3301 sensor is integrated into an Internet of things (IoT) platform to establish a permanent Internet connection. The validation is carried out using a reference sampler (LVS3 of Derenda) according to EN12341:2014. It is focused on statistical insight, and environmental conditions are not considered in this study. The ordinary Linear Model, the Generalized Linear Model, Locally Estimated Scatterplot Smoothing, and the Generalized Additive Model have been proposed to compare and contrast the outcomes. The low-cost sensor is highly correlated with the reference measure ( R 2 greater than 0.70), especially for PM2.5, with a very high accuracy value. In addition, there is a positive relationship between the two measurements, which can be appropriately fitted through the Locally Estimated Scatterplot Smoothing model.
Sergio Trilles; Ana Belen Vicente; Pablo Juan; Francisco Ramos; Sergi Meseguer; Laura Serra. Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler. Sustainability 2019, 11, 7220 .
AMA StyleSergio Trilles, Ana Belen Vicente, Pablo Juan, Francisco Ramos, Sergi Meseguer, Laura Serra. Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler. Sustainability. 2019; 11 (24):7220.
Chicago/Turabian StyleSergio Trilles; Ana Belen Vicente; Pablo Juan; Francisco Ramos; Sergi Meseguer; Laura Serra. 2019. "Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler." Sustainability 11, no. 24: 7220.
A statistical modelling of PM10 concentration (2006–2015) is applied to understand the behaviour, to know the influence of the variables to exposure risk, to treat the missing data to evaluate air quality, and to estimate data for those sites where they are not available. The study area, Castellón region (Spain), is a strategic area in the framework of EU pollution control. A decrease of PM10 is observed for industrial and urban stations. In the case of rural stations, the levels remain constant throughout the study period. The contribution of anthropogenic sources has been estimated through the PM10 background of the study area. The behaviour of PM10 annual trend is tri-modal for industrial and urban stations and bi-modal in the case of rural stations. The EU Normative suggests that 90% of the data per year are necessary to control air quality. Thus, interpolation statistical methods are presented to fill missing data: Linear Interpolation, Exponential Interpolation, and Kalman Smoothing. This study also focuses on testing the goodness of these methods in order to find the ones that better approach the gaps. After analyzing graphically and using the RMSE the last method is confirmed to be the best option.
Ana Belen Vicente; Pablo Juan; Sergi Meseguer; Laura Serra; Sergio Trilles. Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies. Sustainability 2019, 11, 5857 .
AMA StyleAna Belen Vicente, Pablo Juan, Sergi Meseguer, Laura Serra, Sergio Trilles. Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies. Sustainability. 2019; 11 (20):5857.
Chicago/Turabian StyleAna Belen Vicente; Pablo Juan; Sergi Meseguer; Laura Serra; Sergio Trilles. 2019. "Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies." Sustainability 11, no. 20: 5857.
Due to the progress in screening and cancer treatments, survivor's prognosis has improved enabling a more likely return to work. However, return to work after a cancer diagnosis may be complex because of an unbalanced health status and work demands relationship that may push them out of the labor market. The aim of this study is to assess the risk of dropping out of the labor market due to unemployment, partial retirement, and permanent disability during the year following an episode due to a malignant neoplasm compared to other non-malignant pathologies. Cohort study of 9699 workers affiliated with the Social Security System in Catalonia, who had a sickness absence episode between 2012 and 2013 due to malignant neoplasm, mental, musculoskeletal disorders, cardiovascular diseases and injuries. Competing risk regression models were applied to assess the risk of dropping out of the labor market, by calculating subhazard ratios (SHR) in both sexes. Models were adjusted for age, occupational category, type of contract, economic activity, annual median salary and duration of the SA episode as potential confounders. Sickness absence due to malignant neoplasia represented 1.7% out of the 9699 episodes included between 2012 and 2013. Although, 80% of individuals continued working in the year following an episode due to malignant neoplasm, women showed a trend towards exiting the labor market because of partial retirement [SHR = 8.4(1.5-45.5)] and permanent disability [SHR = 5.8(1.5-22.9)] compared to non-malignant pathologies. There were no significant differences for unemployment either in women [SHR = 0.4(0.2-0.9)] and in men [SHR = 0.2(0.1-0.6)]. Although return to work is a common pathway among cancer survivors, partial retirement and permanent disability seem to be potential pathways to exit the labor market among women.
Ana Lear-Claveras; Monica Ubalde-Lopez; Laura Serra Saurina. Labor market situation after an episode of sickness absence due to malignant neoplasia. Evidence from a Spanish cohort. BMC Public Health 2019, 19, 506 .
AMA StyleAna Lear-Claveras, Monica Ubalde-Lopez, Laura Serra Saurina. Labor market situation after an episode of sickness absence due to malignant neoplasia. Evidence from a Spanish cohort. BMC Public Health. 2019; 19 (1):506.
Chicago/Turabian StyleAna Lear-Claveras; Monica Ubalde-Lopez; Laura Serra Saurina. 2019. "Labor market situation after an episode of sickness absence due to malignant neoplasia. Evidence from a Spanish cohort." BMC Public Health 19, no. 1: 506.
The advances and availability of statistical analysis software designed for trajectory analyses give rise to discussions about which would be the most appropriated option in operative and computational terms (depending on the available data, the outcome and research question), and how much results could change due to the differences between them. Today, three commonly used software for such analyses are Mplus, SAS and Stata. Does it matter which one is used?
L Serra Saurina; M Ubalde-Lopez. Methodological approach to compare available software to deal with trajectory analysis. European Journal of Public Health 2018, 28, 1 .
AMA StyleL Serra Saurina, M Ubalde-Lopez. Methodological approach to compare available software to deal with trajectory analysis. European Journal of Public Health. 2018; 28 (suppl_4):1.
Chicago/Turabian StyleL Serra Saurina; M Ubalde-Lopez. 2018. "Methodological approach to compare available software to deal with trajectory analysis." European Journal of Public Health 28, no. suppl_4: 1.