Better Together: Implementation of a Public Health Learning Community During the COVID-19 Pandemic.

Am J Public Health

Kristen M. Brown, Brigette Courtot, Zara Porter, and Sofia Hinojosa are with the Health Policy Center, Urban Institute, Washington, DC.

Published: April 2025

The Centers for Disease Control and Prevention's Partnering for Vaccine Equity program was developed during the COVID-19 public health emergency to fund more than 500 community-based organizations working to improve vaccine equity. Organizations were supported by a virtual learning community where members received tailored learning content, peer-to-peer learning opportunities, and resources that facilitated deployment of vaccine-related programming during a dynamic pandemic. Process evaluation metrics indicate successful implementation of the learning community. The virtual learning community model can be duplicated to address other public health issues. (. 2025;115(4):469-472. https://doi.org/10.2105/AJPH.2024.307965).

Download full-text PDF

Source
http://dx.doi.org/10.2105/AJPH.2024.307965DOI Listing

Publication Analysis

Top Keywords

learning community
16
public health
12
vaccine equity
8
virtual learning
8
learning
6
better implementation
4
implementation public
4
health learning
4
community
4
community covid-19
4

Similar Publications

Better Together: Implementation of a Public Health Learning Community During the COVID-19 Pandemic.

Am J Public Health

April 2025

Kristen M. Brown, Brigette Courtot, Zara Porter, and Sofia Hinojosa are with the Health Policy Center, Urban Institute, Washington, DC.

The Centers for Disease Control and Prevention's Partnering for Vaccine Equity program was developed during the COVID-19 public health emergency to fund more than 500 community-based organizations working to improve vaccine equity. Organizations were supported by a virtual learning community where members received tailored learning content, peer-to-peer learning opportunities, and resources that facilitated deployment of vaccine-related programming during a dynamic pandemic. Process evaluation metrics indicate successful implementation of the learning community.

View Article and Find Full Text PDF

Depolarizing Health Policy Through Intergenerational Conversations.

Am J Public Health

April 2025

Bhav Jain is with the Stanford University School of Medicine, Stanford, CA. John C. Lin is with the Perelman School of Medicine, University of Pennsylvania, Philadelphia. Jerome M. Adams is with the Center for Community Health Enhancement and Learning, Purdue University, West Lafayette, IN.

View Article and Find Full Text PDF

Introduction: Outcome prediction research in early-onset breast cancer (EoBC) is limited. This study evaluated the predictive performance of NHS PREDICT v2.1 and developed two prediction models for 5-year and 10-year all-cause mortality in a cohort of EoBC patients in Alberta, Canada.

View Article and Find Full Text PDF

Alzheimer's disease (AD) is a widespread condition that affects adults and the community considerably. The causes are yet unknown, except from advanced age and genetic predisposition. Natural products provided advantageous advantages for managing AD due to their efficacy, safety, and accessibility.

View Article and Find Full Text PDF

Background: Leaf economic theory holds that physiological constraints to photosynthesis have a role in the coordinated evolution of multiple leaf traits, an idea that can be extended to carnivorous plants occupying a particular trait space that is constrained by key costs and benefits. Pitcher traps are modified leaves that may face steep photosynthetic costs: a high-volume, three-dimensional tubular structure may be less efficient than a flat lamina. While past research has investigated the photosynthetic costs of pitchers, the exact suite of constraints shaping pitcher trait variation remain under-explored-including constraints to carnivorous function.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!