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Behavioral and Demographic Profiles of HIV Transmission and Exposure Networks in Florida: Network Analysis of HIV Contact Tracing Data

Behavioral and Demographic Profiles of HIV Transmission and Exposure Networks in Florida: Network Analysis of HIV Contact Tracing Data

The four variables are (1) gender: male (M), female (F); (2) age: 8, data were further partitioned by age (data not shown). However, none of the profile identities from the unsupervised clustering methods include the only behavioral factor (ie, HIV risk group), which we believe is important to include as it is a modifiable factor. Therefore, we decided to extract DBPs based on their frequency, as explained above, instead of using unsupervised clustering.

Yiyang Liu, Christina Parisi, Chaoyue Sun, Rebecca Fisk-Hoffman, Marco Salemi, Diego Viteri, Brandi Danforth, Mattia Prosperi, Simone Marini

JMIR Public Health Surveill 2025;11:e65573

Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis

Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis

Media portrayal and representation influence thoughts, behaviors, and actions toward certain groups, ideas, and phenomena, that is, the “[m]edia, in short, [is] central to what ultimately come to represent our social realities” [4]. This connection has been studied across many demographic categories and aspects of social reality.

Calla Glavin Beauregard, Christopher M Danforth, Peter Sheridan Dodds

JMIR Form Res 2025;9:e70853

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Situation Pediatric Emergency Care Applied Research Network (PECARN) contracts Academic Life in Emergency Medicine (ALi EM) for social media management (M) Integration of interdisciplinary and intergenerational members (BD) PECARN Champion (BE) Team lead with expertise and connections (AI) Creation of a dissemination working group (F) Securing funding for dissemination (AO) Recruitment of Twitter-savvy users to the team (A) P3 Project (1) Priorities Preemptive education on responding to negative feedback (O1)

Gwendolyn C Hooley, Julia N Magana, Jason M Woods, Shyam Sivasankar, Lauren VonHoltz, Anita R Schmidt, Todd P Chang, Michelle Lin

JMIR Form Res 2025;9:e59481