Tenagnework E Dagnaw - Academia.edu (original) (raw)
Uploads
Papers by Tenagnework E Dagnaw
Introduction The World Health Organization (WHO) has not confirmed the eradication of the COVID-1... more Introduction The World Health Organization (WHO) has not confirmed the eradication of the COVID-19 pandemic or the development of a cure. Ongoing research is necessary to update public understanding, attitudes, and behaviors. Therefore, this study aims to evaluate the knowledge, attitudes, and practices related to COVID-19 among students in Ethiopia. Objective To estimate the pooled proportions and associated factors of knowledge, positive attitude, and prevention practice toward COVID-19 among students in Ethiopia.
BMC Public Health, Dec 22, 2022
Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality... more Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality in the world. Timely behavioral response assessment of the community is important to shape the next effective interventions and risk communication strategies to adopt preventive behavior. Hence, this study aimed to assess behavioral responses for facemask-use messages to prevent COVID-19 and its predictors among residents of Bahir Dar City, Ethiopia, 2021 by using the Extended Parallel Process Model. Methods: A community-based cross-sectional study was conducted with the guide of the Extended Parallel Process Model in Bahir Dar city from March 9 to April 9, 2021. A multistage sampling technique was used, and data was collected through a face-to-face interviewer-administered questionnaire using Epicollect5. Descriptive statistics and Binary logistic regression were computed using SPSS V.25. Variable with P < 0.25 in the bivariable analysis was a candidate for multivariable analysis to control confounding effect. In multivariable analysis, variables with P < 0.05 were considered statistically significant and the result was presented using an adjusted odd ratio (AOR) with a 95% confidence interval (CI). Results: A total of 616 participants with a response rate of 97.1% were included. Of the total participants, 229(37.2%) were in the danger control response. The behavioral response was affected by Occupational status [AOR (95%CI) 3.53(1.67-7.46)], the number of people living together [AOR (95%CI) 2.62(1.28-5.39)], self-control [AOR (95%CI) 1.14(1.05-1.25)], a friend for the preferred source of information [AOR (95%CI) 5.18(3.22-8.33)] and printed materials for the preferred channel [AOR (95%CI) 2.14(1.35-3.43)]. Conclusion: Above one-third of the participants were in the danger control response. Occupational status, number of people living together, self-control, a friend for the preferred source of information, and printed materials for the preferred channel were independent predictors of resident behavioral response to the use of facemasks. Policymakers should consider students and people who live alone. Message developers should use a friendly person to transmit
BMC Public Health, Dec 22, 2022
Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality... more Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality in the world. Timely behavioral response assessment of the community is important to shape the next effective interventions and risk communication strategies to adopt preventive behavior. Hence, this study aimed to assess behavioral responses for facemask-use messages to prevent COVID-19 and its predictors among residents of Bahir Dar City, Ethiopia, 2021 by using the Extended Parallel Process Model. Methods: A community-based cross-sectional study was conducted with the guide of the Extended Parallel Process Model in Bahir Dar city from March 9 to April 9, 2021. A multistage sampling technique was used, and data was collected through a face-to-face interviewer-administered questionnaire using Epicollect5. Descriptive statistics and Binary logistic regression were computed using SPSS V.25. Variable with P < 0.25 in the bivariable analysis was a candidate for multivariable analysis to control confounding effect. In multivariable analysis, variables with P < 0.05 were considered statistically significant and the result was presented using an adjusted odd ratio (AOR) with a 95% confidence interval (CI). Results: A total of 616 participants with a response rate of 97.1% were included. Of the total participants, 229(37.2%) were in the danger control response. The behavioral response was affected by Occupational status [AOR (95%CI) 3.53(1.67-7.46)], the number of people living together [AOR (95%CI) 2.62(1.28-5.39)], self-control [AOR (95%CI) 1.14(1.05-1.25)], a friend for the preferred source of information [AOR (95%CI) 5.18(3.22-8.33)] and printed materials for the preferred channel [AOR (95%CI) 2.14(1.35-3.43)]. Conclusion: Above one-third of the participants were in the danger control response. Occupational status, number of people living together, self-control, a friend for the preferred source of information, and printed materials for the preferred channel were independent predictors of resident behavioral response to the use of facemasks. Policymakers should consider students and people who live alone. Message developers should use a friendly person to transmit
Introduction The World Health Organization (WHO) has not confirmed the eradication of the COVID-1... more Introduction The World Health Organization (WHO) has not confirmed the eradication of the COVID-19 pandemic or the development of a cure. Ongoing research is necessary to update public understanding, attitudes, and behaviors. Therefore, this study aims to evaluate the knowledge, attitudes, and practices related to COVID-19 among students in Ethiopia. Objective To estimate the pooled proportions and associated factors of knowledge, positive attitude, and prevention practice toward COVID-19 among students in Ethiopia.
BMC Public Health, Dec 22, 2022
Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality... more Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality in the world. Timely behavioral response assessment of the community is important to shape the next effective interventions and risk communication strategies to adopt preventive behavior. Hence, this study aimed to assess behavioral responses for facemask-use messages to prevent COVID-19 and its predictors among residents of Bahir Dar City, Ethiopia, 2021 by using the Extended Parallel Process Model. Methods: A community-based cross-sectional study was conducted with the guide of the Extended Parallel Process Model in Bahir Dar city from March 9 to April 9, 2021. A multistage sampling technique was used, and data was collected through a face-to-face interviewer-administered questionnaire using Epicollect5. Descriptive statistics and Binary logistic regression were computed using SPSS V.25. Variable with P < 0.25 in the bivariable analysis was a candidate for multivariable analysis to control confounding effect. In multivariable analysis, variables with P < 0.05 were considered statistically significant and the result was presented using an adjusted odd ratio (AOR) with a 95% confidence interval (CI). Results: A total of 616 participants with a response rate of 97.1% were included. Of the total participants, 229(37.2%) were in the danger control response. The behavioral response was affected by Occupational status [AOR (95%CI) 3.53(1.67-7.46)], the number of people living together [AOR (95%CI) 2.62(1.28-5.39)], self-control [AOR (95%CI) 1.14(1.05-1.25)], a friend for the preferred source of information [AOR (95%CI) 5.18(3.22-8.33)] and printed materials for the preferred channel [AOR (95%CI) 2.14(1.35-3.43)]. Conclusion: Above one-third of the participants were in the danger control response. Occupational status, number of people living together, self-control, a friend for the preferred source of information, and printed materials for the preferred channel were independent predictors of resident behavioral response to the use of facemasks. Policymakers should consider students and people who live alone. Message developers should use a friendly person to transmit
BMC Public Health, Dec 22, 2022
Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality... more Background: The coronavirus disease 2019 (COVID-19) pandemic causes major morbidity and mortality in the world. Timely behavioral response assessment of the community is important to shape the next effective interventions and risk communication strategies to adopt preventive behavior. Hence, this study aimed to assess behavioral responses for facemask-use messages to prevent COVID-19 and its predictors among residents of Bahir Dar City, Ethiopia, 2021 by using the Extended Parallel Process Model. Methods: A community-based cross-sectional study was conducted with the guide of the Extended Parallel Process Model in Bahir Dar city from March 9 to April 9, 2021. A multistage sampling technique was used, and data was collected through a face-to-face interviewer-administered questionnaire using Epicollect5. Descriptive statistics and Binary logistic regression were computed using SPSS V.25. Variable with P < 0.25 in the bivariable analysis was a candidate for multivariable analysis to control confounding effect. In multivariable analysis, variables with P < 0.05 were considered statistically significant and the result was presented using an adjusted odd ratio (AOR) with a 95% confidence interval (CI). Results: A total of 616 participants with a response rate of 97.1% were included. Of the total participants, 229(37.2%) were in the danger control response. The behavioral response was affected by Occupational status [AOR (95%CI) 3.53(1.67-7.46)], the number of people living together [AOR (95%CI) 2.62(1.28-5.39)], self-control [AOR (95%CI) 1.14(1.05-1.25)], a friend for the preferred source of information [AOR (95%CI) 5.18(3.22-8.33)] and printed materials for the preferred channel [AOR (95%CI) 2.14(1.35-3.43)]. Conclusion: Above one-third of the participants were in the danger control response. Occupational status, number of people living together, self-control, a friend for the preferred source of information, and printed materials for the preferred channel were independent predictors of resident behavioral response to the use of facemasks. Policymakers should consider students and people who live alone. Message developers should use a friendly person to transmit