RESUMO
Introduction: Understanding spatial and temporal trends in travel for COVID-19 vaccinations by key demographic characteristics (i.e., gender, race, age) is important for ensuring equitable access to and increasing distribution efficiency of vaccines and other health services. The aim of this study is to examine trends in travel distance for COVID-19 vaccinations over the course of the vaccination rollout in North Carolina. Methods: Data were collected using electronic medical records of individuals who had first- or single-dose COVID-19 vaccination appointments through UNC Health between December 15, 2020, and August 31, 2021 (Nâ¯=â¯204,718). Travel distances to appointments were calculated using the Euclidean distance from individuals' home ZIP code centroids to clinic addresses. Descriptive statistics and multivariable regression models with individuals' home ZIP codes incorporated as fixed effects were used to examine differences in travel distances by gender, race, and age. Results: Males and White individuals traveled significantly farther for vaccination appointments throughout the vaccination rollout. On average, females traveled 14. 4 miles, 3.5% shorter distances than males; Black individuals traveled 13.6 miles, 10.0% shorter distances than White individuals; and people aged 65 and older traveled 14.5 miles, 2.6% longer distances than younger people living in the same ZIP code. Conclusions: Controlling for socioeconomic status and spatial proximity to vaccination clinics at the ZIP code level, males and White individuals traveled longer distances for vaccination appointments, demonstrating more ability to travel for vaccinations. Results indicate a need to consider differential ability to travel to vaccinations by key demographic characteristics in COVID-19 vaccination programs and future mass health service delivery efforts.
RESUMO
INTRODUCTION: Growth of e-commerce has caused a vast increase in parcel delivery, which raises concern for safety of drivers and other road users as more deliveries take place. METHODS: This project analyzes injury/illness and fatality trends among workers with delivery-related NAICS codes using three major sources of occupational hazard data in the United States: the Survey of Occupational Illnesses and Injuries, the Census of Fatal Occupational Injuries, and the Industrial Tracking Application. Descriptive statistics were employed to illustrate trends over time as well as to highlight opportunities for improved data collection and dissemination. RESULTS: The number of injuries to drivers has risen sharply over the past decade. Some of this increase appears due to growth of this industry, but increasing overall rates suggest the industry is becoming more hazardous. While nonfatal injuries were typically caused by continuous workplace exposures (e.g., repetitive strain, contact with object/equipment), fatalities were almost exclusively caused by transportation incidents. Additionally, crucial aspects of these trends are difficult or impossible to analyze given the current data landscape. CONCLUSIONS: Observed trends reinforce earlier calls for additional scrutiny of working conditions that threaten drivers. Injuries caused by transportation incidents are likely more severe than others and highlight the danger the transportation system poses to drivers and others. Current data collection and dissemination processes offer room to improve in terms of understanding how to prevent future injuries.
