Raquel Pérez Arnal

Prof. Raquel Pérez Arnal

Barcelona Supercomputing Center (BSC)
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orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Journal Article
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RARaquel Pérez Arnal
Raquel Pérez Arnal
DCDavid Conesa
David Conesa
SASergio Alvarez-Napagao
Sergio Alvarez-Napagao
TSToyotaro Suzumura
Toyotaro Suzumura
MCMartí Català
Martí Català
DGDario Garcia-Gasulla
Dario Garcia-Gasulla
The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility under COVID-19, to evaluate the efficiency of mobility restriction policies, and to facilitate a better response to future crisis, we need to understand all possible mobility data sources at our disposal. Our work studies private mobility sources, gathered from mobile-phones and released by large technological companies. These data are of special interest because, unlike most public sources, it is focused on individuals rather than on transportation means. Furthermore, the sample of society they cover is large and representative. On the other hand, these data are not directly accessible for anonymity reasons. Thus, properly interpreting its patterns demands caution. Aware of that, we explore the behavior and inter-relations of private sources of mobility data in the context of Spain. This country represents a good experimental setting due to both its large and fast pandemic peak and its implementation of a sustained, generalized lockdown. Our work illustrates how a direct and naive comparison between sources can be misleading, as certain days (e.g., Sundays) exhibit a directly adverse behavior. After understanding their particularities, we find them to be partially correlated and, what is more important, complementary under a proper interpretation. Finally, we confirm that mobile-data can be used to evaluate the efficiency of implemented policies, detect changes in mobility trends, and provide insights into what new normality means in Spain.

31 December 2021 in Journal of Clinical Medicine
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Ignacio Martin-LoechesIgnacio Martin-Loeches
Ignacio Martin-Loeches
AMAnna Motos
Anna Motos
RMRosario Menéndez
Rosario Menéndez
AGAlbert Gabarrús
Albert Gabarrús
JGJessica González
Jessica González
Antoni TorresAntoni Torres
Antoni Torres
Background. Some patients previously presenting with COVID-19 have been reported to develop persistent COVID-19 symptoms. While this information has been adequately recognised and extensively published with respect to non-critically ill patients, less is known about the incidence and factors associated with the characteristics of persistent COVID-19. On the other hand, these patients very often have intensive care unit-acquired pneumonia (ICUAP). A second infectious hit after COVID increases the length of ICU stay and mechanical ventilation and could have an influence on poor health post-COVID 19 syndrome in ICU-discharged patients. Methods: This prospective, multicentre, and observational study was carrid out across 40 selected ICUs in Spain. Consecutive patients with COVID-19 requiring ICU admission were recruited and evaluated three months after hospital discharge. Results: A total of 1255 ICU patients were scheduled to be followed up at 3 months; however, the final cohort comprised 991 (78.9%) patients. A total of 315 patients developed ICUAP (97% of them had ventilated ICUAP). Patients requiring invasive mechanical ventilation had more persistent post-COVID-19 symptoms than those who did not require mechanical ventilation. Female sex, duration of ICU stay, development of ICUAP, and ARDS were independent factors for persistent poor health post-COVID-19. Conclusions: Persistent post-COVID-19 symptoms occurred in more than two-thirds of patients. Female sex, duration of ICU stay, development of ICUAP, and ARDS all comprised independent factors for persistent poor health post-COVID-19. Prevention of ICUAP could have beneficial effects in poor health post-COVID-19.

6 May 2021 in AI and Ethics
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UCUlises Cortés
Ulises Cortés
ACAtia Cortés
Atia Cortés
DGDario Garcia-Gasulla
Dario Garcia-Gasulla
RARaquel Pérez Arnal
Raquel Pérez Arnal
SASergio Alvarez-Napagao
Sergio Alvarez-Napagao
EAEnrique Alvarez-Lacalle
Enrique Alvarez-Lacalle

9 March 2022 in Expert Systems with Applications
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Journal Article
Open access
JBJavier Bejar
Javier Bejar
RARaquel Pérez Arnal
Raquel Pérez Arnal
AVArmand Vilalta
Armand Vilalta
SASergio Alvarez-Napagao
Sergio Alvarez-Napagao
DGDario Garcia-Gasulla
Dario Garcia-Gasulla

14 February 2021 in arXiv
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Preprint
Open access
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TSToyotaro Suzumura
Toyotaro Suzumura
HKHiroki Kanezashi
Hiroki Kanezashi
MDMishal Dholakia
Mishal Dholakia
EIEuma Ishii
Euma Ishii
SASergio Alvarez-Napagao
Sergio Alvarez-Napagao
TMToshiaki Murofushi
Toshiaki Murofushi
As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among these countries, resulting in extensive social and economic costs. To better understand the situation in a quantitative manner, we used the Opensky network data to clarify flight patterns and flight densities around the world and observe relationships between flight numbers with new infections, and with the economy (unemployment rate) in Barcelona. We found that the number of daily flights gradually decreased and suddenly dropped 64% during the second half of March in 2020 after the US and Europe enacted travel restrictions. We also observed a 51% decrease in the global flight network density decreased during this period. Regarding new COVID-19 cases, the world had an unexpected surge regardless of travel restrictions. Finally, the layoffs for temporary workers in the tourism and airplane business increased by 4.3 fold in the weeks following Spain's decision to close its borders.