Víctor López de Rioja
Biographic Data
| ID | 9994915 |
|---|---|
| NAME | Víctor López de Rioja |
| GIVEN NAMES | Víctor López |
| FAMILY NAME | de Rioja |
| SIGNATURE | DE RIOJA V L |
| AFFILIATIONS | Universitat Politècnica de Catalunya |
| ORCID | 0000-0003-4485-0616 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A semi-empirical risk panel to monitor epidemics
Introduction Bronchiolitis, mostly caused by Respiratory Syncytial Virus (RSV), and influenza among other respiratory infections, lead to seasonal saturation at healthcare centers in temperate areas. There is no gold standard to characterize the stages of epidemics, nor the risk of respiratory infections growing. We aimed to define a set of indicators to assess the risk level of respiratory viral epidemics, based on both incidence and their short…
Mathematical modeling of Sars-CoV-2 variant substitutions in European countries
Background Countries across Europe have faced similar evolutions of SARS-CoV-2 variants of concern, including the Alpha, Delta, and Omicron variants. Materials and methods We used data from GISAID and applied a robust, automated mathematical substitution model to study the dynamics of COVID-19 variants in Europe over a period of more than 2 years, from late 2020 to early 2023. This model identifies variant substitution patterns and distinguishes …
A mixture of mobility and meteorological data provides a high correlation with Covid-19 growth in an infection-naive population
Introduction: We use Spanish data from August 2020 to March 2021 as a natural experiment to analyze how a standardized measure of COVID-19 growth correlates with asymmetric meteorological and mobility situations in 48 Spanish provinces. The period of time is selected prior to vaccination so that the level of susceptibility was high, and during geographically asymmetric implementation of non-pharmacological interventions. Methods: We develop relia…
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A semi-empirical risk panel to monitor epidemics
Introduction Bronchiolitis, mostly caused by Respiratory Syncytial Virus (RSV), and influenza among other respiratory infections, lead to seasonal saturation at healthcare centers in temperate areas. There is no gold standard to characterize the stages of epidemics, nor the risk of respiratory infections growing. We aimed to define a set of indicators to assess the risk level of respiratory viral epidemics, based on both incidence and their short…
Mathematical modeling of Sars-CoV-2 variant substitutions in European countries
Background Countries across Europe have faced similar evolutions of SARS-CoV-2 variants of concern, including the Alpha, Delta, and Omicron variants. Materials and methods We used data from GISAID and applied a robust, automated mathematical substitution model to study the dynamics of COVID-19 variants in Europe over a period of more than 2 years, from late 2020 to early 2023. This model identifies variant substitution patterns and distinguishes …
A mixture of mobility and meteorological data provides a high correlation with Covid-19 growth in an infection-naive population
Introduction: We use Spanish data from August 2020 to March 2021 as a natural experiment to analyze how a standardized measure of COVID-19 growth correlates with asymmetric meteorological and mobility situations in 48 Spanish provinces. The period of time is selected prior to vaccination so that the level of susceptibility was high, and during geographically asymmetric implementation of non-pharmacological interventions. Methods: We develop relia…
Medicine (3 works) · COVID-19 epidemiological studies (2 works) · Data-Driven Disease Surveillance (2 works) · Environmental health (2 works) · Population (2 works) · 2019-20 coronavirus outbreak (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Bronchiolitis (1 work) · Computer Science (1 work)