Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Researchers have collected Twitter data to study a wide range of topics. This growing body
of literature, however, has not yet been reviewed systematically to synthesize Twitter-related …

Background: The recent global outbreak of coronavirus disease (COVID-19) is affecting
many countries worldwide. Iran is one of the top 10 most affected countries. Search engines …

Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …

Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need
for large-scale, up-to-date, and reproducible studies assessing the prevalence and …

We present a timely and novel methodology that combines disease estimates from
mechanistic models with digital traces, via interpretable machine-learning methodologies, to …

Precision public health is an emerging practice to more granularly predict and understand
public health risks and customize treatments for more specific and homogeneous …

The remarkable upsurge of social media has dramatic impacts on health care research and
practice. Social media are reshaping health information management in a variety of ways …

(1) Background: This study aims to delineate a pattern on vaccine hesitancy in a sample of
the Spanish population, considering age groups and status as healthcare workers.(2) …

Background The importance of infectious disease epidemic forecasting and prediction
research is underscored by decades of communicable disease outbreaks, including COVID …