AtlantiCare Community Health Needs Assessment 2022-2024
This report provides a summary of the findings of the Community Health Needs Assessment (CHNA) for Atlantic County.
Community Conversations: Pandemic Perspectives, New Jersey’s COVID-19 Storytelling Project
Authors: Kristin Curtis, Devon Ziminski, Carla Villacis, Martha Carey, Kiersten Westley Henson, Helen Ard, MA, Richard Duran, Amanda Ekelburg, Trista Harig, Joseph Mendoza-Martinez, Mary Mitsdarffer, Lili Razi, Benjamin Rudolph, Ummulkhayer Sameha, Priyal Shah, Michelle Lyttle Storrod This report provides overview, context, and summarized findings from participants in New Jersey who shared their personal experiences as… continue reading
Inspira Health Community Health Needs Assessment 2022-2024
This report provides a summary of the findings of the Community Health Needs Assessment (CHNA) for Gloucester, Cumberland, and Salem Counties.
Timing County Hospital Bed Shortfall during COVID-19
Authors: Sarah R. Allred*^, Darren Spielman*, Kristin Curtis, Kristin Kelly, Sean T. McQuade^, Nathaniel J. Merrill,^ Benedetto Piccoli^, Ryan Pletcher, Shwetal Sharma, Carla Villacis, Ross Whiting, Aayush Yadav^, Doug Zacher, Devon Ziminski (* Corresponding authors, ^ Math modeling) This follow-up brief updates the previous COVID-19 model and predicts when demand for hospital beds will first… continue reading
Regional Health System Shortfalls with a Novel COVID-19 Model
Authors: Sarah R. Allred, Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli, Darren Spielman, Carla Villacis, Ross Whiting, Aayush Yadav, Douglas Zacher, Devon Ziminski Estimating when the peak need for hospital beds will occur, the number of available hospital beds in each county, and by how much the demand for hospital beds will exceed capacity… continue reading
South Jersey Health Needs: Connections, Community, and Care
Authors: Sarah Allred, Ph.D., Population Health, Summarizing findings of the 2019 CHNA, WRI researchers released an important finding about health in South Jersey: residents’ physical and mental health are surprisingly strongly predicted by their connections to the people and places surrounding them.