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Community Engagement: Perceptions and Responses to COVID-19 Risk Communication among Rural Dwellers in Enugu State

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  • Prof. Sunny .E Udeze

    (Department of Mass Communication, Enugu State University of Science and Technology, Agbani, Nigeria)

  • Dr. Chidiebere Anthony Ezinwa

    (Department of Mass Communication, Enugu State University of Science and Technology, Agbani, Nigeria)

  • Dr. Ekwe Okwudiri

    (Department of Mass Communication, Enugu State University of Science and Technology, Agbani, Nigeria)

Abstract

This study investigates the perceptions and responses to Covid-19 risk communication among rural dwellers in Enugu State. In conducting this study, survey research method was used to generate quantitative and qualitative data from rural residents in select communities in Enugu State through the instrumentality of questionnaire and Key Informant Interview. A sample size of 384 was drawn from the population using Wimmer and Dominick online sample calculator. Analysis of data generated revealed that the most reliable source of health messages on Covid-19 for rural residents during the pandemic was the radio. More so, majority (52 percent) of the sampled respondents were of the view that they had a moderate knowledge about Covid-19 controlling and preventive measures and majority of the respondents practiced Covid-19 preventive measures to a moderate extent. Religious and cultural norms were found to be major barriers to Covid-19 messages targeted at rural people. Based on the findings, it was recommended that health messages targeted at rural residents should take into account some factors that are peculiar to rural environment such as religious and cultural issues, poverty, level of education and access to adequate information.

Suggested Citation

  • Prof. Sunny .E Udeze & Dr. Chidiebere Anthony Ezinwa & Dr. Ekwe Okwudiri, 2022. "Community Engagement: Perceptions and Responses to COVID-19 Risk Communication among Rural Dwellers in Enugu State," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(9), pages 708-717, September.
    • Handle: RePEc:bcp:journl:v:6:y:2022:i:9:p:708-717
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    References listed on IDEAS

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    1. Shasha Teng & Nan Jiang & Kok Wei Khong, 2022. "Using big data to understand the online ecology of COVID-19 vaccination hesitancy," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
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