Jesús A. Moreno López

ORCID: 0000-0001-9715-5962
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About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • COVID-19 Digital Contact Tracing
  • Evolutionary Psychology and Human Behavior
  • Experimental Behavioral Economics Studies
  • Evolutionary Game Theory and Cooperation
  • Data-Driven Disease Surveillance
  • Climate Change, Adaptation, Migration
  • Disaster Management and Resilience
  • Disaster Response and Management
  • Transportation and Mobility Innovations

Institute for Cross-Disciplinary Physics and Complex Systems
2020-2025

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

Inserm
2020-2021

Sorbonne Université
2020-2021

When considering airborne epidemic spreading in social systems, a natural connection arises between mobility and contacts. As individuals travel, possibilities to encounter new people either at the final destination or during transportation process appear. Such contacts can lead contagion events. In fact, has been crucial target for early non-pharmaceutical containment measures against recent COVID-19 pandemic, with degree of intensity ranging from public line closures regional, city even...

10.1038/s41598-025-86759-5 article EN cc-by-nc-nd Scientific Reports 2025-01-24

As artificial intelligence (AI) systems are increasingly embedded in our lives, their presence leads to interactions that shape behaviour, decision-making and social interactions. Existing theoretical research on the emergence stability of cooperation, particularly context dilemmas, has primarily focused human-to-human interactions, overlooking unique dynamics triggered by AI. Resorting methods from evolutionary game theory, we study how different forms AI can influence cooperation a...

10.1098/rsif.2024.0212 article EN Journal of The Royal Society Interface 2024-09-01

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

When considering airborne epidemic spreading in social systems, a natural connection arises between mobility and contacts. As individuals travel, possibilities to encounter new people either at the final destination or during transportation process appear. Such contacts can lead contagion events. In fact, has been crucial target for early non-pharmaceutical containment measures against recent COVID-19 pandemic, with degree of intensity ranging from public line closures regional, city even...

10.48550/arxiv.2402.05739 preprint EN arXiv (Cornell University) 2024-02-08

As artificial intelligence (AI) systems are increasingly embedded in our lives, their presence leads to interactions that shape behaviour, decision-making, and social interactions. Existing theoretical research has primarily focused on human-to-human interactions, overlooking the unique dynamics triggered by of AI. In this paper, resorting methods from evolutionary game theory, we study how different forms AI influence evolution cooperation a human population playing one-shot Prisoner's...

10.48550/arxiv.2306.17747 preprint EN cc-by arXiv (Cornell University) 2023-01-01
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