N
Nnamdi Ezike Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
4 h-index
12 pubs
30 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Nnamdi Ezike's research focuses on analyzing public health trends and interventions, often utilizing mixed-methods approaches and statistical modeling. He has investigated the effectiveness of statewide early intervention programs for young children with Autism Spectrum Disorder. His work also examines public discourse and sentiment related to health policy, specifically analyzing Twitter data to understand reactions to the US Federal Tobacco 21 Law and the marketing of e-cigarette products. Ezike employs advanced statistical techniques, including Bayesian methods and time series analysis, to model and predict trends in health-related online communication. His collaborations include researchers from the University of Arkansas for Medical Sciences and other departments at the University of Arkansas at Fayetteville, with whom he has co-authored multiple publications.
Metrics
- h-index: 4
- Publications: 12
- Citations: 30
Selected Publications
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Pledging Engagement: Motivations and Intentions for College Sport Attendance among Greek-Letter Organizations (2023)
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Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint) (2023)
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Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (2023)
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Model-data fit evaluation: posterior checks and Bayesian model selection (2022)
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Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (2022)
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Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint) (2022)
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Analysis of a Statewide Early Intervention Program for Young Children with ASD (2021)
Collaboration Network
Top Collaborators
Allison J. Ames
University of Arkansas at Fayetteville (US)
7 shared publications
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Model-data fit evaluation: posterior checks and Bayesian model selection
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
Showing 5 of 7 shared publications
Page D. Dobbs
University of Arkansas at Fayetteville
5 shared publications
In database
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
- Predicting Sentiment of Tweets towards Electronic Cigarettes Using the Unobserved Component Model (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
Brian A. Primack
Oregon State University (US)
5 shared publications
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
- Predicting Sentiment of Tweets towards Electronic Cigarettes Using the Unobserved Component Model (Preprint)
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
Aaron Myers
University of Arkansas at Fayetteville
4 shared publications
In database
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
- Model-data fit evaluation: posterior checks and Bayesian model selection
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
Huy Mai
University of Arkansas at Fayetteville
2 shared publications
In database
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
Jason B. Colditz
University of Pittsburgh (US)
2 shared publications
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis
- Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)
Elizabeth Cleveland
University of Central Arkansas
1 shared publication
In database
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
Peggy J. Schaefer Whitby
University of Arkansas at Fayetteville
1 shared publication
In database
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
Karan Burnette
University of Arkansas at Fayetteville
1 shared publication
In database
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
Renee Holmes
University of Arkansas at Fayetteville
1 shared publication
In database
- Analysis of a Statewide Early Intervention Program for Young Children with ASD
Huy May
1 shared publication
- Predicting Sentiment of Tweets towards Electronic Cigarettes Using the Unobserved Component Model (Preprint)
Stacey A. Forsythe
Western Kentucky University (US)
1 shared publication
- Pledging Engagement: Motivations and Intentions for College Sport Attendance among Greek-Letter Organizations
Alison Fridley
University of Arkansas at Fayetteville (US)
1 shared publication
- Pledging Engagement: Motivations and Intentions for College Sport Attendance among Greek-Letter Organizations
Chris Corr
Western Kentucky University (US)
1 shared publication
- Pledging Engagement: Motivations and Intentions for College Sport Attendance among Greek-Letter Organizations
Sarah Stokowski
Troy University (US)
1 shared publication
- Pledging Engagement: Motivations and Intentions for College Sport Attendance among Greek-Letter Organizations
Similar Researchers
Based on overlapping research topics
Aaron Myers
University of Arkansas at Fayetteville
Autism Spectrum Disorder Research
Behavioral and Psychological Studies
Public Health Research
Henry Obajaja
University of Arkansas at Fayetteville
Behavioral and Psychological Studies
Public Health Research
Media Studies and Communication
Ava Cogburn
University of Arkansas at Fayetteville
Behavioral and Psychological Studies
Public Health Research
Media Studies and Communication
Page D. Dobbs
University of Arkansas for Medical Sciences
Public Health Research
Health Policy Implementation Science
Media Studies and Communication
Khadijah Haqq
University of Arkansas at Fayetteville
Behavioral and Psychological Studies
Public Health Research
Media Studies and Communication
Allison Hudson
University of Arkansas for Medical Sciences
Autism Spectrum Disorder Research
Public Health Research
Meta-analysis and systematic reviews