Abstract The advent of Large Language Models (LLMs) has significantly transformed
research across natural and social sciences, offering new paradigms for understanding …

Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization
and increasing urbanization posing new challenges in sustainable urban development well …

Variables related to socioeconomic status (SES), including income, ethnicity, and education,
shape contact structures and affect the spread of infectious diseases. However, these factors …

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 …

Background During the initial phases of the vaccination campaign worldwide,
nonpharmaceutical interventions (NPIs) remained pivotal in the fight against the COVID-19 …

From a pioneer in the field of complexity science and chaos theory, a plan for solving the
world's most pressing problems" Farmer convincingly argues that by using big data and …

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 …

Public health responses to the COVID-19 pandemic varied across the world. Some countries
(eg mainland China, New Zealand and Taiwan) implemented elimination strategies …

Integrating prior epidemiological knowledge embedded within mechanistic models with the
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …

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 …