[HTML][HTML] LLMs and generative agent-based models for complex systems research
Abstract The advent of Large Language Models (LLMs) has significantly transformed
research across natural and social sciences, offering new paradigms for understanding …
research across natural and social sciences, offering new paradigms for understanding …
Crime, inequality and public health: a survey of emerging trends in urban data science
Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization
and increasing urbanization posing new challenges in sustainable urban development well …
and increasing urbanization posing new challenges in sustainable urban development well …
Generalized contact matrices allow integrating socioeconomic variables into epidemic models
Variables related to socioeconomic status (SES), including income, ethnicity, and education,
shape contact structures and affect the spread of infectious diseases. However, these factors …
shape contact structures and affect the spread of infectious diseases. However, these factors …
[HTML][HTML] Behavioral changes associated with covid-19 vaccination: Cross-national online survey
Background During the initial phases of the vaccination campaign worldwide,
nonpharmaceutical interventions (NPIs) remained pivotal in the fight against the COVID-19 …
nonpharmaceutical interventions (NPIs) remained pivotal in the fight against the COVID-19 …
Voluntary vaccination on hypergraph
In reality, when epidemics spread, higher-order interactions in group settings such as homes
and schools, for example, can make infections more likely to occur. People often voluntarily …
and schools, for example, can make infections more likely to occur. People often voluntarily …
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Integrating prior epidemiological knowledge embedded within mechanistic models with the
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …
Supply chain loss from easing COVID-19 restrictions: an evolutionary economic-epidemiological modelling study
Y Ye, Z Cao, D Dajun Zeng… - Proceedings of the …, 2024 - royalsocietypublishing.org
Since the start of the COVID-19 pandemic, many firms have been shifting their supply chains
away from countries with stringent control measures to mitigate supply-chain disruption …
away from countries with stringent control measures to mitigate supply-chain disruption …
Is SARS-CoV-2 elimination or mitigation best? Regional and disease characteristics determine the recommended strategy
MM Martignoni, J Arino… - Royal Society Open …, 2024 - royalsocietypublishing.org
Public health responses to the COVID-19 pandemic varied across the world. Some countries
(eg mainland China, New Zealand and Taiwan) implemented elimination strategies …
(eg mainland China, New Zealand and Taiwan) implemented elimination strategies …
Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries
L Lucchini, O Langle-Chimal, L Candeago… - arXiv preprint arXiv …, 2023 - arxiv.org
Mobile phone data have played a key role in quantifying human mobility during the COVID-
19 pandemic. Existing studies on mobility patterns have primarily focused on regional …
19 pandemic. Existing studies on mobility patterns have primarily focused on regional …
Balancing health and economic impacts from targeted pandemic restrictions
The COVID-19 pandemic has highlighted the necessity for policymakers to design
interventions that allow to promptly resume economic activities while taking control of the …
interventions that allow to promptly resume economic activities while taking control of the …