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Muhammad Asaduzzaman
Universitetet i Oslo Det medisinske fakultet
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9048-7980
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Background The Coronavirus Disease 2019 (COVID-19) with its high mortality, stigma and panic has compelled many cities and countries to complete lockdown. The worldwide student group is one of the most affected and vulnerable communities in this situation. Our current study aimed to assess the impact of the behavior change communication among international students in China in current COVID-19 crisis.
Methods In this paper, we have utilized partial least squares-structural equation modeling (PLS-SEM) to understand the health behaviour changes of international students in China in response to novel Coronavirus outbreak. We mainly analyzed the relationship among the three selected latent variables (preventive, supportive and awareness building) based on a survey among the international students (n=467) in China in February 2020. We obtained their valuable responses regarding level of awareness, satisfaction and trust in authorities (i.e., government, local authorities and institutions) during this emergency period.
Results We utilized 22 indicators in the conceptual framework model with the help of Smart PLS 2.0 version software. The lowest average variance extracted (AVE) for all the constructs of our paper exceeded the minimum accepted value of 0.5, representing the adequate convergent validity. Prediction of students’ satisfaction, the key outcome degree of the model, was nearly moderate, with an R2 = 0.507 whereas the prediction of trust in authorities was above substantial, with an R2 = 0.797. Therefore, our PLS-SEM model showed a strong and significant positive association between preventive and supportive measures taken for the study population and gaining trust, awareness and satisfaction in authorities.
Conclusions Integrated partial least squares-structural equation modeling (PLS-SEM) can be a great way to measure the satisfaction and trust level of various population groups over government, local authorities, and institutions in public health emergency like COVID-19 crisis. We believe that our findings are important for travel and global health perspectives. Other countries can learn and take necessary initiatives for their international students and general public to halt this deadly epidemic with gaining their satisfaction and trust as well.
Keywords
COVID-19, awareness building, epidemic, PLS-SEM, supportive measures, trust, international student, modeling
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CURRENT STATUS: Published
View the published article at Global Health Research and Policy.
No community comments so far
Editorial decision: Accept
On 14 Feb, 2021
Editor assigned
On 24 Jan, 2021
Submission checks complete
On 24 Jan, 2021
Editor invited
On 24 Jan, 2021
No comments provided
Editorial decision: Minor revision
On 02 Jan, 2021
Editor assigned
On 28 Dec, 2020
Submission checks complete
On 28 Dec, 2020
Editor invited
On 28 Dec, 2020
No comments provided
Editorial decision: Minor revision
On 03 Dec, 2020
Reviewer #1 agreed
On 19 Oct, 2020
Review #1 received
Received 19 Oct, 2020
Reviewers invited
Invitations sent on 12 Oct, 2020
Editor assigned
On 11 Oct, 2020
Submission checks complete
On 10 Oct, 2020
Editor invited
On 10 Oct, 2020
No comments provided
Editorial decision: Minor revision
On 06 Oct, 2020
Review #1 received
Received 30 Sep, 2020
Review #2 received
Received 30 Sep, 2020
Reviewer #1 agreed
On 29 Sep, 2020
Reviewer #2 agreed
On 29 Sep, 2020
Editor assigned
On 28 Sep, 2020
Reviewers invited
Invitations sent on 28 Sep, 2020
Submission checks complete
On 27 Sep, 2020
Editor invited
On 27 Sep, 2020
Version 1
Posted 10 Jun, 2020
No comments provided
Editorial decision: Major revision
On 26 Aug, 2020
Review #2 received
Received 01 Aug, 2020
Reviewer #2 agreed
On 17 Jul, 2020
Review #1 received
Received 08 Jul, 2020
Reviewer #1 agreed
On 22 Jun, 2020
Reviewers invited
Invitations sent on 14 Jun, 2020
Editor assigned
On 07 Jun, 2020
First submitted
On 06 Jun, 2020
Submission checks complete
On 06 Jun, 2020
Editor invited
On 06 Jun, 2020
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Subject Areas
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A new preprint design is coming!
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See the published version of this preprint at Global Health Research and Policy.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Muhammad Asaduzzaman
Universitetet i Oslo Det medisinske fakultet
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9048-7980
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Global Health Research and Policy.
No community comments so far
Editorial decision: Accept
On 14 Feb, 2021
Editor assigned
On 24 Jan, 2021
Submission checks complete
On 24 Jan, 2021
Editor invited
On 24 Jan, 2021
No comments provided
Editorial decision: Minor revision
On 02 Jan, 2021
Editor assigned
On 28 Dec, 2020
Submission checks complete
On 28 Dec, 2020
Editor invited
On 28 Dec, 2020
No comments provided
Editorial decision: Minor revision
On 03 Dec, 2020
Reviewer #1 agreed
On 19 Oct, 2020
Review #1 received
Received 19 Oct, 2020
Reviewers invited
Invitations sent on 12 Oct, 2020
Editor assigned
On 11 Oct, 2020
Submission checks complete
On 10 Oct, 2020
Editor invited
On 10 Oct, 2020
No comments provided
Editorial decision: Minor revision
On 06 Oct, 2020
Review #1 received
Received 30 Sep, 2020
Review #2 received
Received 30 Sep, 2020
Reviewer #1 agreed
On 29 Sep, 2020
Reviewer #2 agreed
On 29 Sep, 2020
Editor assigned
On 28 Sep, 2020
Reviewers invited
Invitations sent on 28 Sep, 2020
Submission checks complete
On 27 Sep, 2020
Editor invited
On 27 Sep, 2020
Version 1
Posted 10 Jun, 2020
No comments provided
Editorial decision: Major revision
On 26 Aug, 2020
Review #2 received
Received 01 Aug, 2020
Reviewer #2 agreed
On 17 Jul, 2020
Review #1 received
Received 08 Jul, 2020
Reviewer #1 agreed
On 22 Jun, 2020
Reviewers invited
Invitations sent on 14 Jun, 2020
Editor assigned
On 07 Jun, 2020
First submitted
On 06 Jun, 2020
Submission checks complete
On 06 Jun, 2020
Editor invited
On 06 Jun, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Global Health Research and Policy.
Background The Coronavirus Disease 2019 (COVID-19) with its high mortality, stigma and panic has compelled many cities and countries to complete lockdown. The worldwide student group is one of the most affected and vulnerable communities in this situation. Our current study aimed to assess the impact of the behavior change communication among international students in China in current COVID-19 crisis.
Methods In this paper, we have utilized partial least squares-structural equation modeling (PLS-SEM) to understand the health behaviour changes of international students in China in response to novel Coronavirus outbreak. We mainly analyzed the relationship among the three selected latent variables (preventive, supportive and awareness building) based on a survey among the international students (n=467) in China in February 2020. We obtained their valuable responses regarding level of awareness, satisfaction and trust in authorities (i.e., government, local authorities and institutions) during this emergency period.
Results We utilized 22 indicators in the conceptual framework model with the help of Smart PLS 2.0 version software. The lowest average variance extracted (AVE) for all the constructs of our paper exceeded the minimum accepted value of 0.5, representing the adequate convergent validity. Prediction of students’ satisfaction, the key outcome degree of the model, was nearly moderate, with an R2 = 0.507 whereas the prediction of trust in authorities was above substantial, with an R2 = 0.797. Therefore, our PLS-SEM model showed a strong and significant positive association between preventive and supportive measures taken for the study population and gaining trust, awareness and satisfaction in authorities.
Conclusions Integrated partial least squares-structural equation modeling (PLS-SEM) can be a great way to measure the satisfaction and trust level of various population groups over government, local authorities, and institutions in public health emergency like COVID-19 crisis. We believe that our findings are important for travel and global health perspectives. Other countries can learn and take necessary initiatives for their international students and general public to halt this deadly epidemic with gaining their satisfaction and trust as well.
Figure 1
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