Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Aleta, Alberto"'
Multilayer networks describing interactions in urban systems: a digital twin of five cities in Spain
Networks specifying who interacts with whom are crucial for mathematical models of epidemic spreading. In the context of emerging diseases, these networks have the potential to encode multiple interaction contexts where non-pharmaceutical interventio
Externí odkaz:
http://arxiv.org/abs/2409.04299
The advent of Large Language Models (LLMs) has significantly transformed the fields of natural and social sciences. Generative Agent-Based Models (GABMs), which utilize large language models in place of real subjects, are gaining increasing public at
Externí odkaz:
http://arxiv.org/abs/2408.09175
Understanding the dissemination of diseases, information, and behavior stands as a paramount research challenge in contemporary network and complex systems science. The COVID-19 pandemic and the proliferation of misinformation are relevant examples o
Externí odkaz:
http://arxiv.org/abs/2402.14938
The global production and consumption of vegetable oils have sparked several discussions on sustainable development. This study analyzes over 20 million tweets related to vegetable oils to explore the key factors shaping public opinion. We found that
Externí odkaz:
http://arxiv.org/abs/2308.07108
Albeit numerous countries relied on contact-tracing (CT) applications as an epidemic control measure against the COVID-19 pandemic, the debate around their effectiveness is still open. Most studies indicate that very high levels of adoption are requi
Externí odkaz:
http://arxiv.org/abs/2307.13157
Autor:
Bonacina, Francesco, Echegoyen, Ignacio, Escribano, Diego, Krellner, Marcus, Nerini, Francesco Paolo, Shanaz, Rasha, Teixeira, Andreia Sofia, Aleta, Alberto
As Internet of Things (IoT) technology grows, so does the threat of malware infections. A proposed countermeasure, the use of benevolent "white worms" to combat malicious "black worms", presents unique ethical and practical challenges. This study exa
Externí odkaz:
http://arxiv.org/abs/2306.17533
We investigate the use of transfer entropy (TE) as a proxy to detect the contact patterns of the population in epidemic processes. We first apply the measure to a classical age-stratified SIR model and observe that the recovered patterns are consiste
Externí odkaz:
http://arxiv.org/abs/2306.00852
Publikováno v:
Frontiers in Public Health 11, 1122230 (2023)
Mathematical modeling has been fundamental to achieving near real-time accurate forecasts of the spread of COVID-19. Similarly, the design of non-pharmaceutical interventions has played a key role in the application of policies to contain the spread.
Externí odkaz:
http://arxiv.org/abs/2212.06659
Autor:
Pangallo, Marco, Aleta, Alberto, Chanona, R. Maria del Rio, Pichler, Anton, Martín-Corral, David, Chinazzi, Matteo, Lafond, François, Ajelli, Marco, Moro, Esteban, Moreno, Yamir, Vespignani, Alessandro, Farmer, J. Doyne
The potential tradeoff between health outcomes and economic impact has been a major challenge in the policy making process during the COVID-19 pandemic. Epidemic-economic models designed to address this issue are either too aggregate to consider hete
Externí odkaz:
http://arxiv.org/abs/2212.03567
Despite the advanced stage of epidemic modeling, there is a major demand for methods to incorporate behavioral responses to the spread of a disease such as social distancing and adoption of prevention methods. Mobility plays an important role in epid
Externí odkaz:
http://arxiv.org/abs/2112.07829