Background: The high burden of Human Immunodeficiency Virus (HIV) disease and the increasing rate of new HIV infections among some populations and jurisdictions could ref[...]

Comprehensive surveillance systems are the key to provide accurate data for effective modeling. Traditional symptom-based case surveillance has been joined with recent ge[...]

As the threat of arboviral diseases continues to escalate worldwide, the question of, “What types of human communities are at the greatest risk of infection?” persists as[...]

In recent years, social media have dramatically improved the dissemination speed of information, which also includes health misinformation. To date, most of the computati[...]

Incentive spirometry (IS) is one intervention used to prevent pulmonary complications after surgery. Incidence for pulmonary complications after coronary artery bypass gr[...]

Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and compre[...]

Misinformation reporting systems (MRSs) have been deployed on online communication platforms to crowdsource information about misinformation from public reporters. As the[...]

Mathematical models are critical tools to characterize COVID-19 dynamics and take action accordingly. We identified 4 major challenges associated with the current modelin[...]

Background The COVID-19 Scenario Modeling Hub convened nine modeling teams to project the impact of expanding SARS-CoV-2 vaccination to children aged 5-11 years on COVID-[...]

This research investigates the intersection of applied statistics, machine learning, and healthcare to leverage the quantitative approaches as a means of improving patien[...]