In the last years, several techniques of artificial intelligence have been applied to data from
COVID-19. In addition to the symptoms related to COVID-19, many individuals with SARS …

The disposability of clothing has emerged as a critical concern, precipitating waste
accumulation due to product quality degradation. Such consequences exert significant …

Loneliness is an issue of public health significance. Longitudinal studies indicate that
feelings of loneliness are prevalent and were exacerbated by the Coronavirus Disease 2019 …

Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the
causes of mortality, especially in regions lacking robust medical infrastructure. In this study …

Abstract Post-Acute Sequelae of SARS-CoV-2 infection (PASC), also known as Long-
COVID, encompasses a variety of complex and varied outcomes following COVID-19 …

Abstract The Flint Water Crisis (FWC) was an avoidable public health disaster that
profoundly affected the city's residents, a majority of whom are Black. Although many …

The recent advances in machine learning and deep learning algorithms, along with the
advent of generative AI, have led AI to become the" new normal" in organizations. This trend …

Background COVID-19 severity is amplified among individuals with obesity, which may have
influenced mainstream media coverage of the disease by both improving understanding of …

Social media has gained great popularity among consumers and social media data offers
enormous potential for marketing researchers to generate consumer insights. This thesis …

Abstract Background The National Institutes of Health (NIH) mobilized more than $4 billion
in extramural funding for the COVID-19 pandemic. Assessing the research output from this …