The ScholarShip

The ScholarShip is a digital archive for the scholarly output of the ECU community. Its mission is to capture, preserve, and make available the intellectual output of East Carolina University's faculty, staff, and students.

Communities & Collections in the ScholarShip

Select a community to browse its collections.

Now showing 1 - 8 of 8

Recent Submissions

Access status: Open Access ,
CONNEKT: Developing a Framework to Improve Engagement Between Residents With Dementia and Their Families
(2026-05-13) Jessica Creech
Access status: Metadata only ,
Suggested Steps for Health Sciences Expert Level Reviews
(2025-08-26)
The objectives of this project was to develop a spreadsheet on the types and steps of common review methodologies to serve as a guidance tool for Laupus librarians in our systematic review service.
Access status: Metadata only ,
Traffic Calming Interventions Impact on Pedestrian Injury: A Scoping Review Protocol
(2025-05-19)
Pedestrian injuries and fatalities remain a persistent global public health issue, particularly in urban areas where motor vehicle traffic and pedestrian activity intersect. Traffic-calming interventions, or physical or design-based strategies intended to reduce vehicle speeds, are implemented worldwide to reduce pedestrian injuries, injury severity, and mortality. At the same time, individual studies prompt encouraging outcomes and an overarching analysis of the effectiveness and contextual impact of the inventions. Given the diversity of traffic calming interventions and inconsistent reporting of their effects on pedestrian outcomes, a scoping review is warranted. This revenue will outline existing research on how traffic calming interventions influence pedestrian injury, severity, and mortality.
Access status: Metadata only ,
Leading Pedestrian Intervals Impact on Pedestrian Injury: A Scoping Review Protocol
(2025-05-18)
Pedestrian safety remains a critical public health concern, particularly in urban environments where conflicts between motor vehicles and pedestrians occur more frequently. In order to counteract this mechanism of injury at intersections, Leading Pedestrian Interval (LPIs) have been implemented in both urban and rural settings. LPIs are a traffic signal timing strategy that provides pedestrians with increased time to enter the crosswalk of intersections where they are more visible to a turning vehicle before the vehicle receives the green light to proceed through the intersection. Current reports vary in terms of the amount of lead time the pedestrian is given and the types of intersections in which they are effective. Despite being a low cost alternative that is highly effective under certain conditions, LPIs have failed to be scaled up particularly in some neighborhoods. As the evidence-base continues to evolve, this scoping review aims to examine the current evidence that continues to evolve and to identify gaps in that evidence that may be an impediment to using this strategy to impact pedestrian injury, injury severity, and mortality.
Access status: Metadata only ,
Taylors Creek Living Shoreline Data (2021-2023)
(2025-04-30)
This dataset includes drone imagery, RTK-GNSS data, and derived digital elevation models and orthomosaics as well as oyster abundances and lengths, wave heights, and sediment composition data collected at the Rachel Carson Reserve in Beaufort, NC, USA. The sites monitored include 3 OysterCatcherTM reefs and 1 control site with no reef. The drone data was collected to monitor changes of the vegetation and elevation around the reefs and at the control site from 2022 to 2023. Oyster, wave, and sediment data were collected to characterize the sites. The drone data was collected on March 2, 2022 and April 19, 2023. Oyster abundances and lengths were monitored on March 1st, June 30th, September 26th, and November 22nd of 2022 and March 22nd of 2023. Wave heights were monitored during three periods in 2021 (June 22nd-23rd, August 17th-25th, and October 20th-22nd). Sediment samples were collected on September 20th, 2021 and October 27th, 2023. The RTK-GNSS data includes an OPUS file created from a base station file and roving measurements of the ground control points (GCPs) used for the drone survey. More details can be found in README files within the dataset and in the associated publication (Geesin et al. 2025 (in review)).