Medicine and Health Sciences Commons^™

The Impact Of Vaccinations And Chronic Disease On Covid Death Rates, James L. Doti

Economics Faculty Articles and Research

This study presents a theoretical and empirical regression model to measure the efficacy of vaccinations in reducing COVID death rates across states over the 3/10/21 to 12/28/22 period. During that period, it was estimated that the availability of vaccinations resulted in a reduction of 427,000 COVID deaths in the nation. To arrive at that estimate, other covariants were held constant. In particular, it was found that chronic disease should be included as an explanatory variable to arrive at unbiased measures of the efficacy of vaccinations in reducing deaths. In addition, the percentage of people over the age of 65 was …

Implementation Of Post-Covid Conditions Management Utilizing Interprofessional Collaboration In A Multi-Facility Healthcare Organization, Jocelin Friedman, Christina Dhesi-Bawa, Kathleen Kennedy, Stephen Lee, Leona Hidalgo

Physical Therapy Faculty Articles and Research

Background: The prevalence of Post-Covid Conditions (PCC) is estimated to affect 10-35% of infected individuals, with upwards of 85% of previously hospitalized individuals reporting prolonged effects. Literature indicates deficiencies in communication between healthcare providers which can negatively affect patients. Due to limited interprofessional communication, there was a scarcity of individuals with PCC receiving comprehensive therapy treatment on an outpatient basis. The multi-system nature of PCC was an indication for interprofessional collaboration and the development of workflows facilitating access to care.

Purpose: This qualitative study investigates the Post-COVID-19 Rehabilitation Program (PCRP) at a California, USA multi-facility healthcare system. The …

Virtual And In Vitro Screening Of Natural Products Identifies Indole And Benzene Derivatives As Inhibitors Of Sars-Cov-2 Main Protease (MPro), Dony Ang, Riley Kendall, Hagop S. Atamian

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The rapid spread of the coronavirus disease 2019 (COVID-19) resulted in serious health, social, and economic consequences. While the development of effective vaccines substantially reduced the severity of symptoms and the associated deaths, we still urgently need effective drugs to further reduce the number of casualties associated with SARS-CoV-2 infections. Machine learning methods both improved and sped up all the different stages of the drug discovery processes by performing complex analyses with enormous datasets. Natural products (NPs) have been used for treating diseases and infections for thousands of years and represent a valuable resource for drug discovery when combined with …