Beatriz Arregui García

ORCID: 0000-0002-5591-8367
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About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance
  • COVID-19 Digital Contact Tracing
  • Opinion Dynamics and Social Influence
  • Complex Systems and Time Series Analysis
  • Ecosystem dynamics and resilience
  • Fire effects on ecosystems
  • Complex Network Analysis Techniques
  • Mental Health Research Topics
  • Disaster Management and Resilience

Institute for Cross-Disciplinary Physics and Complex Systems
2020-2024

Universitat de les Illes Balears
2024

Inserm
2020-2021

Sorbonne Université
2020-2021

Institut Pierre Louis d‘Épidémiologie et de Santé Publique
2020-2021

The analysis of complex and time-evolving interactions, such as those within social dynamics, represents a current challenge in the science systems. Temporal networks stand suitable tool for schematizing systems, encoding all interactions appearing between pairs individuals discrete time. Over years, network has developed many measures to analyze compare temporal networks. Some them imply decomposition into small pieces interactions; i.e., only involving few nodes short time range. Along...

10.3390/e26030256 article EN cc-by Entropy 2024-03-13

Abstract The efficacy of digital contact tracing against COVID-19 epidemic is debated: smartphone penetration limited in many countries, non-uniform across age groups, with low coverage among elderly, the most vulnerable to SARS-CoV-2. We developed an agent-based model precise impact and household isolation on transmission. model, calibrated French population, integrates demographic, contact-survey epidemiological information describe risk factors for exposure transmission COVID-19. explored...

10.1101/2020.07.22.20158352 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2020-07-25

Abstract The COVID-19 pandemic exhibits intertwined epidemic waves with anomalous fade-outs characterized by persistent low prevalence. These long-living states complicate control and challenge current modeling approaches. Here we introduce a modification of the Susceptible-Infected-Recovered model in meta-population framework where small inflow infected individuals accounts for undetected imported cases. Focusing on regime this external seeding is so that cannot be detected from analysis...

10.1038/s42005-023-01302-0 article EN cc-by Communications Physics 2023-07-25

Abstract The consequences of wildfires on public health extend beyond injury. Smoke can traverse vast distances, compromising air quality in unaffected areas and exacerbating chronic respiratory conditions. But smoke may affect the circulation burden communicable diseases, too. disruption adherence to safety guidelines impact time people spend indoors, this turns increase exposure airborne pathogens like influenza, SARS-CoV-2, RSV. However, quantification such disruptions their implications...

10.1101/2023.07.09.23292078 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2023-07-12
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