Syed Imran Ali Meerza
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Khulna University (2010–2011); South Dakota State University (2012)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Syed Imran Ali Meerza's research focuses on consumer behavior, decision-making, and the application of machine learning techniques to address societal and health-related issues. His work investigates how information influences consumer valuation, particularly in the context of food products and biofortified crops. Meerza also studies information avoidance behaviors, examining factors that lead individuals to disengage from important health information, such as antimicrobial resistance and the implications of COVID-19 stressors on health awareness.
His research extends to the application of machine learning for predicting outcomes like student retention and identifying food-insecure households. Meerza also explores consumer attitudes towards agricultural practices, including antibiotic use in livestock. His scholarship includes 45 publications and has garnered 189 citations, with an h-index of 9. He has collaborated with Afsana Ahamed and Mohammad Sajidul Islam on several publications.
Metrics
- h-index: 9
- Publications: 47
- Citations: 192
Selected Publications
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Price Transmission and Leadership in the Global Poultry Market: Results From Parametric and Nonparametric Approaches (2026)
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Good News or Bad News First? The Impact of Sequential Information and Recency Bias on Consumers’ Valuations of Zinc Rice (2025)
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Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory (2025)
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The Effects of Information Interventions and Social Interactions on the Valuations of Zinc Rice Seeds: Evidence From a Field Experiment With Rice Farmers (2025)
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The role of hopelessness in mediating the relationship between income loss and delaying and foregoing healthcare: Evidence from repeated cross-sectional waves of the Household Pulse Survey (2025)
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Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products (2024)
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Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat (2023)
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Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment (2023)
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Understanding the Prediction of Student Retention Behavior during covid-19 Using Effective Data Mining Techniques (2023)
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Prediction of Diabetes at Early Stage using Interpretable Machine Learning (2023)
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The Impact of Information on Valuation in Experimental Auctions: A Comparison of Between and Within Subject Designs (2023)
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Who Thinks COVID-19 is not a Crisis? Need for Cognition and Political Ideology Influence Perceptions of the Severity of COVID-19 (2023)
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Emotional responses to COVID-19 stressors increase avoidance of health information and access to care (2023)
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U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production (2022)
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Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance? (2021)
Collaboration Network
Top Collaborators
- Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance?
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
- The Impact of Information on Valuation in Experimental Auctions: A Comparison of Between and Within Subject Designs
- Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat
- Emotional responses to COVID-19 stressors increase avoidance of health information and access to care
Showing 5 of 7 shared publications
- Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance?
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
- Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat
- Emotional responses to COVID-19 stressors increase avoidance of health information and access to care
- Who Thinks COVID-19 is not a Crisis? Need for Cognition and Political Ideology Influence Perceptions of the Severity of COVID-19
Showing 5 of 6 shared publications
- Information avoidance behavior: Does ignorance keep us uninformed about antimicrobial resistance?
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
- Emotional responses to COVID-19 stressors increase information avoidance about an important unrelated health threat
- Emotional responses to COVID-19 stressors increase avoidance of health information and access to care
- Who Thinks COVID-19 is not a Crisis? Need for Cognition and Political Ideology Influence Perceptions of the Severity of COVID-19
Showing 5 of 6 shared publications
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
- Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products
- The Effects of Information Interventions and Social Interactions on the Valuations of Zinc Rice Seeds: Evidence From a Field Experiment With Rice Farmers
- Good News or Bad News First? The Impact of Sequential Information and Recency Bias on Consumers’ Valuations of Zinc Rice
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
- Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products
- Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory
- Good News or Bad News First? The Impact of Sequential Information and Recency Bias on Consumers’ Valuations of Zinc Rice
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
- Risk Propensity and Acceptance of Gene-edited and Genetically Modified Food among US Consumers: A Comparison between Plants and Animal Products
- Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory
- U.S. Consumer Attitudes toward Antibiotic Use in Livestock Production
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
- Prediction of Diabetes at Early Stage using Interpretable Machine Learning
- Understanding the Prediction of Student Retention Behavior during covid-19 Using Effective Data Mining Techniques
- Understanding the Prediction of Student Retention Behavior during covid-19 Using Effective Data Mining Techniques
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
- Consumers’ valuation of a biofortified crop: Evidence from a laboratory experiment
- The role of hopelessness in mediating the relationship between income loss and delaying and foregoing healthcare: Evidence from repeated cross-sectional waves of the Household Pulse Survey
- Exploring Public Perception Towards Gene‐Edited and Genetically Modified Foods in the United States: An Application of the Spiral of Silence Theory
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