Rosa E. Lillo
Charles III University of Madrid
12 Papers
18 Citations
Rosa E. Lillo is an academic researcher from Charles III University of Madrid. The author has contributed to research in topics: Computer science & Nonlinear dimensionality reduction. The author has an hindex of 3, co-authored 12 publications. Previous affiliations of Rosa E. Lillo include Carlos III Health Institute.
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Papers
Impact of SARS-CoV-2 pandemic among health care workers in a secondary teaching hospital in Spain
Javier Garralda Fernandez,Ignacio Molero Vilches,Alfredo Bermejo Rodríguez,Isabel Cano de Torres,Elda Isabel Colino Romay,Isabel García Arata,Jeronimo Jaqueti Aroca,Rosa E. Lillo,Daniel Lopez Lacomba,Luis Mazón,Laura Molina Esteban,Luis J. Morales García,Laura Moratilla Monzo,Elva Nieto-Borrajo,María Santiaga Pacheco Delgado,Santiago Prieto Menchero,Cristina Sánchez Hernández,Eva Sánchez Testillano,Jesús García-Martínez +18 more
TL;DR: The global impact of the COVID-19 pandemic on HCW of the centre has been 19.9%, which emphasizes the performance of continuous surveillance methods of the most exposed health personnel and not only based on the appearance of symptoms.
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Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys.
Augusto Garcia-Agundez,Oluwasegun Ojo,Harold A. Hernández-Roig,Carlos Baquero,Davide Frey,Chryssis Georgiou,Mathieu Goessens,Rosa E. Lillo,Raquel Menezes,Nicolas Nicolaou,Antonio Ortega,Efstathios Stavrakis,Antonio Fernández Anta +12 more
TL;DR: In this paper, the authors compare their estimates with the results of a serology study for Spain, obtaining high correlations (R squared 0.89) and support the idea of using open surveys with indirect reporting as a method to broadly sense the progress of a pandemic.
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CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics
Oluwasegun Ojo,Oluwasegun Ojo,Augusto Garcia-Agundez,Benjamin Girault,Harold Hernández,Elisa Cabana,Amanda García-García,Payman Arabshahi,Carlos Baquero,Paolo Casari,Ednaldo José Ferreira,Davide Frey,Chryssis Georgiou,Mathieu Goessens,Anna Ishchenko,Ernesto Jiménez,Oleksiy Kebkal,Rosa E. Lillo,Raquel Menezes,Nicolas Nicolaou,Antonio Ortega,Paul Patras,Julian C. Roberts,Efstathios Stavrakis,Yuichi Tanaka,Antonio Fernández Anta +25 more
TL;DR: An indirect reporting technique based on (anonymous) surveys in which participants report on the health status of their contacts is proposed, which preserves the privacy of the participants and their contacts, and collects information from a larger fraction of the population (as compared to individual surveys).
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Detecting and Classifying Outliers in Big Functional Data
TL;DR: Two new outlier detection methods, which are useful for identifying different types of outliers in (big) functional data sets, are proposed, and a fast implementation which uses the component-wise median in the computation of the indices is presented.
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Functional Modeling of High-Dimensional Data: A Manifold Learning Approach
Harold A. Hernández-Roig,M. Carmen Aguilera-Morillo,Rosa E. Lillo +2 more
- 19 Feb 2021
TL;DR: This paper shows that ML-stringing is a feasible alternative to the UDS-based version, and opens a window to new contributions to the field of FDA and the study of high-dimensional data.
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