A Research Framework for One Health Communication
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GRF One Health Summit 2012, Davos: Presentation by Shana Cecile GILLETTE, Colorado State University, United States of America;
![A Research Framework for One Health Communication [email_address] Shana Gillette, Assistant Professor in Risk Communication, Colorado State University Joyce Turk, Senior Livestock Advisor, Bureau of Food Security, USAID](https://image.slidesharecdn.com/gilletteonehealthcommfinal-120221094632-phpapp02/85/A-Research-Framework-for-One-Health-Communication-1-320.jpg)
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A Research Framework for One Health Communication
- 1. A Research Framework for One Health Communication [email_address] Shana Gillette, Assistant Professor in Risk Communication, Colorado State University Joyce Turk, Senior Livestock Advisor, Bureau of Food Security, USAID
- 2. Climate Change Social Change Animal Health Human Health Ecosystem Health Turk, 2009
- 3. A Research Framework for One Health Communication Moving Forward in Approach and Concepts
- 6. Twitter activity during outbreak
- 11. A Research Framework for One Health Communication Increase Collaboration across Disciplines Readiness Social-Cognitive Theory Documented Behavior and Characteristics Personal and professional details that may influence behavior Stage, Motivational, Action Theories Target communication
- 13. A Research Framework for One Health Communication Increase Collaboration among Organizations Effectiveness Social Network Theory Documented Network and Socio-economic Characteristics Comparative network change over time and impact on costs/benefits Social Network Theory & Transaction Cost Theory Enhance knowledge flow
- 15. A Research Framework for One Health Communication Expand the One Health Narrative in the Public Sphere Understanding Modified SARF Documented Perception and Characteristics Details on perception that may influence behavior Social Amplification/Attenuation of Risk “ Common Pool” resource theory Expand narrative
- 16. Readiness Social-Cognitive Theory Documented Behavior and Characteristics Effectiveness Social Network Theory Understanding Documented Network and Socio-economic Characteristics A Research Framework for One Health Communication Modified SARF Documented Perception and Characteristics
- 17. This presentation was made possible by the United States Agency for International Development and the generous support of the American people through Grant No. EEM-A-00-01-00001. The opinions expressed herein are those of the authors and do not necessarily reflect the views of the U.S. Agency for International Development or the U.S. government. [email_address] www.lcccrsp.org
Notes de l'éditeur
- In response to the pressing need for innovative and effective interventions for the prediction and prevention of these zoonotic diseases, the One Health concept is being promoted in the animal and human health communities. The fundamental concept of One Health is based on effective communication and collaboration among professionals in human, animal, and ecosystem health. The One Health approach has taken on renewed significance in the past ten years as governments, health organizations, and research universities have recognized the importance of including animal, human, and ecosystem health professionals in planning for response and recovery to infectious disease outbreaks.
- Most emergency plans now acknowledge the importance of communication across health sectors. It is assumed that increased communication and collaboration among professionals in human, animal, and ecosystem health will advance understanding of how diseases function across species and different environments. Based on these assumptions, a number of organizations, groups, and programs have been established to promote the exchange of information across the human and animal health systems. However, despite the increased focus on One Health communication in government documents and the academic literature, little has been discussed of how research on One Health communication may help address the challenges ahead. At this juncture, such research is critical, not only in improving professional communication that can lead to better health outcomes, but also to inform curriculum development in the nascent programs of One Health across the country.
- To date, discussions of One Health communication have not addressed issues that are commonly discussed within the more developed sub-disciplines of risk, environmental, and health communication. Discussions in these sub-disciplines have moved beyond the initial examination of message development and one-way transmission to look at communication as a dynamic social process that is especially unpredictable in situations of great uncertainty such infectious disease outbreaks.
- To date, discussions of One Health communication have not addressed issues that are commonly discussed within the more developed sub-disciplines of risk, environmental, and health communication. Discussions in these sub-disciplines have moved beyond the initial examination of message development and one-way transmission to look at communication as a dynamic social process that is especially unpredictable in situations of great uncertainty such infectious disease outbreaks.
- Environment, health, and risk communication theories and concepts provide an effective way to understand how, when, by whom, and under what circumstances information is introduced, discussed, and reformulated in different contexts. The research questions that need to be asked are complicated and multi-layered, making it even more important to draw from what has been learned in the past
- In this presentation, I am advocating a broad scope for research on One Health communication, reviews existing literature to inform the research direction, and highlights some gaps in research that need to be addressed. Finally, suggestions are made on how theories and concepts from the existing literature can strengthen One Health communication research and define a research agenda.
- The relationships between predictor variables (theoretical constructs) and outcome measures (data on performance) in each survey will be assessed using multiple regression analysis and structural equation modelling. In the final phase of the project, the findings from all surveys will be analysed simultaneously adopting a random effects approach to investigate whether the relationships between predictor variables and outcome measures are modified by behaviour, professional group or geographical location.