Spatiotemporal Ecologic Analysis of COVID-19 Vaccination Coverage and Outcomes, Oklahoma, USA, February 2020-December 2021.

Data on COVID-19 cases, deaths, hospitalizations, and vaccinations in Oklahoma, USA, have not been systematically described. The relationship between vaccination and COVID-19-related outcomes over time has not been investigated. We graphically described data collected during February 2020-December 2021 and conducted spatiotemporal modeling of monthly increases in COVID-19 cumulative death and hospitalization rates, adjusting for cumulative case rate, to explore the relationship.

Opioid and other drug use and drug-related mortality as indicators of Hepatitis C and Human Immunodeficiency Virus in Oklahoma.

Objectives: Outbreaks of injection drug use (IDU)-associated infections have become major public health concerns in the era of the opioid epidemic. This study aimed to (1) identify county-level characteristics associated with acute HCV infection and newly diagnosed IDU-associated HIV in Oklahoma and (2) develop a vulnerability index using these metrics.

Methods: This study employs a county-level ecological design to examine those diagnosed with acute or chronic HCV or newly diagnosed IDU-associated HIV.

Achieving a Healthy Oklahoma: Cross-Sector Cooperation to Improve Public Health Preparedness and Pandemic Response.

In response to the COVID-19 pandemic, the University of Oklahoma Hudson College of Public Health launched the Achieving a Healthy Oklahoma (AHO) initiative in 2021. The goals of AHO were to assess lessons learned in Oklahoma from COVID-19 and set the foundation for enhanced public-private community collaboration by developing recommendations to prepare for future public health crises and promote health across all major economic sectors. Over 700 stakeholders were engaged in surveys, interviews, workgroup meetings, community listening sessions, and steering committee meetings over 8 months to accomplish these goals.

Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study.

Background: Venous thromboembolism (VTE) is a preventable, common vascular disease that has been estimated to affect up to 900,000 people per year. It has been associated with risk factors such as recent surgery, cancer, and hospitalization. VTE surveillance for patient management and safety can be improved via natural language processing (NLP).