Bibliometric Gap Analysis of CDC’s Women’s Health Research, 2018 through 2023: Leveraging National Vital Statistics and Attention Metrics for Insight
Poster Number: P142
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Informatics Implementation, Delivering Health Information and Knowledge to the Public, Health Equity, Fairness and Elimination of Bias
Working Group: Public Health Informatics Working Group
Primary Track: Applications
Programmatic Theme: Public Health Informatics
This analysis identifies conditions with high mortality that disproportionately affect women to inform public health resource allocation. Leveraging informatics methodologies to generate a normalized sex mortality ratio and establish a cause-specific mortality proportion for females, we identified Alzheimer's/dementia and breast cancer as conditions of interest. We then assessed the publication frequency on these conditions in a database of CDC-authored publications and quantified, by topic, the amount of policy citations received by these publications.
Speaker(s):
Victoria Dunkley, MPH
Centers for Disease Control and Prevention (CDC) - Atlanta, GA
Author(s):
Victoria Dunkley, MPH - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Joy Ortega, PhD - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Martha Knuth, MLIS - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Daniel Martin, DrPH - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Christie Kim, BS - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Mary Reynolds, PhD - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Bao-Ping Zhu, MD, PhD, MS - Centers for Disease Control and Prevention (CDC) - Atlanta, GA;
Poster Number: P142
Presentation Time: 05:00 PM - 06:30 PM
Abstract Keywords: Informatics Implementation, Delivering Health Information and Knowledge to the Public, Health Equity, Fairness and Elimination of Bias
Working Group: Public Health Informatics Working Group
Primary Track: Applications
Programmatic Theme: Public Health Informatics
This analysis identifies conditions with high mortality that disproportionately affect women to inform public health resource allocation. Leveraging informatics methodologies to generate a normalized sex mortality ratio and establish a cause-specific mortality proportion for females, we identified Alzheimer's/dementia and breast cancer as conditions of interest. We then assessed the publication frequency on these conditions in a database of CDC-authored publications and quantified, by topic, the amount of policy citations received by these publications.
Speaker(s):
Victoria Dunkley, MPH
Centers for Disease Control and Prevention (CDC) - Atlanta, GA
Author(s):
Victoria Dunkley, MPH - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Joy Ortega, PhD - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Martha Knuth, MLIS - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Daniel Martin, DrPH - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Christie Kim, BS - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Mary Reynolds, PhD - Centers for Disease Control and Prevention (CDC) - Atlanta, GA; Bao-Ping Zhu, MD, PhD, MS - Centers for Disease Control and Prevention (CDC) - Atlanta, GA;
Bibliometric Gap Analysis of CDC’s Women’s Health Research, 2018 through 2023: Leveraging National Vital Statistics and Attention Metrics for Insight
Category
Poster - Regular
Description
Date: Monday (11/11)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)
Time: 05:00 PM to 06:30 PM
Room: Grand Ballroom (Posters)