ORIGINAL RESEARCH article

Front. Public Health, 27 April 2022

Sec. Public Health Education and Promotion

Volume 10 - 2022 | https://doi.org/10.3389/fpubh.2022.843974

Perception of University Students Towards National Efforts at Controlling COVID-19 Pandemics, the Practice of Prevention Measures and its Associated Factors During School Reopening

  • 1. Department of Midwifery, College of Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia

  • 2. Department of Biology, College of Natural and Computational Sciences, Hawassa University, Hawassa, Ethiopia

  • 3. Department of Nursing, College of Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia

Article metrics

View details

2

Citations

2k

Views

796

Downloads

Abstract

Background:

The Coronavirus disease 2019 (COVID-19) pandemic has affected many communities including students. Even if restrictions are being lifted in some countries, i.e., Ethiopia, COVID-19 is not gone yet. Adjusting to the “new normal”, an emerging prevention response to the virus, can greatly recover public health and education. Thus, this study aimed to assess students' perception of national efforts at controlling the COVID-19 pandemic, including approaches to prevention measures, and associated factors during campus re-entry.

Methods and Materials:

We conducted a cross-sectional study among 682 Debre Berhan University (DBU) students from December 1 to 15, 2020, when students had just gone back to school. The data was entered into Epi-Data version 4.6 and exported to SPSS version 25.0 statistical software for analysis. The perception and practice of the participants were assessed using a scoring system. Binary logistic regression was run to identify the significant (p ≤ 0.05) predictors of COVID-19 prevention practice.

Result:

The overall high perception and good practice of prevention behaviors were 32%, 95% CI (28.8–35.2), and 37.5%, 95% CI (33.7–41.2), respectively. Being female [AOR (CI) = 1.67 (1.17–2.37)], have a rural residence [AOR (CI) = 1.56 (1.07–2.29)], fathers' education [AOR (CI) = 1.94 (1.06–3.56)], having respiratory disease [AOR (CI) = 2.81 (1.32–5.95)], and information sources from YouTube [AOR (CI) = 1.87 (1.19–2.91)] were significant factors for COVID-19 prevention practice. Besides, a high perception of national efforts at controlling COVID-19 [AOR (CI) = 2.94 (2.04–4.25)] was positively associated with the practice of prevention measures.

Conclusion:

During school reopening, most students had a low perception of national efforts at controlling COVID-19 and poor prevention practices. Socio-demographics, having a chronic illness, information sources, and perception of national efforts were factors of COVID-19 prevention practice. Thus, raising the perception of the national efforts, promoting precautionary measures, managing chronic illnesses, and disseminating information through YouTube are critical to preventing and controlling COVID-19 during campus re-entry.

Introduction

Throughout history, human beings have had experiences fighting disastrous diseases. In some instances, the diseases are controlled and in others they continue and become an epidemic (1). In Wuhan, China, a novel COVID-19 outbreak was first reported in January 2020 (2). The World health organization (WHO) declared it a pandemic on March 11, 2020 (3). COVID-19 is an infectious viral pandemic disease caused by a new strain of an RNA virus called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) (4). The virus is primarily transmitted through respiratory droplets and close contact from human to human. Poor hand hygiene practice, overcrowding, and close physical contact like handshaking can aggravate the spread of infection (5, 6). Fever, cough, myalgia, or fatigue are common and other symptoms like headache, sputum production, hemoptysis, and diarrhea are less common symptoms of COVID-19 (7).

The COVID-19 pandemic has affected almost all continents of the world, with over 117,455,738 confirmed cases and more than 2,605,472 deaths reported until March 8, 2021. America and Asian countries were highly affected. In Ethiopia, since the first case was detected on March 13, 2020, 165,029 confirmed cases and 2,420 deaths were reported up to March 8, 2021 (8). Compared to developed countries, the number of cases and deaths was low in Africa. This could relate to poor testing capacity, weak contact tracing, and poor reporting systems (9).

The practice of COVID-19 prevention measures was 87.94% in China (10), 56.4% in Iran (11), 36.5% in Pakistan (12), and 65% in South Wollo (13). Older age, urban residence, being of female gender, having a higher income level, greater risk perception, high self-efficacy, favorable attitude, and good knowledge of COVID-19 were some of the reported factors associated with COVID-19 prevention practice (10, 1315). In addition, low perception of the disease and lack of trust in the prevention measures were major barriers to practicing COVID-19 prevention measures (16).

Across the world, in many countries, a national state of emergency and preventive measures were implemented. These include contact tracing, strict quarantine, social distancing, and universal use of masks, which are implemented to cut off the transmission and control the pandemic (17, 18). The Ethiopian government also implemented various synergistic strategies from closing all schools to declaring a state of emergency (19). Yet, the world is at risk of facing a recurrent epidemic. However, adapting to the “COVID-19: the new normal” prevention response, the Ethiopian Ministry of Health planned to reopen previously restricted education. Currently, students are returning to campuses with strict adherence to national preventive measures (20). The term “new-normal” describes an adjustment process or working side by side while preventing the COVID-19 pandemic. Recommendations advised people to stay safe and avoid the three C's: confined and closed spaces, crowded places, and close-contact settings whether at work, home, or school (21).

Debre Berhan University has enumerated several strategies to alleviate the spread of COVID-19 during the teaching-learning process. A physical distance should be maintained of 1–1.5 m in the library, laboratories, or workshops, while the distance in the classroom should be 1.5–2 m. Students must not participate in major sporting events. Classroom sizes should not exceed 30 and be limited to 40-min sessions. All staff and students should wear face masks at all times in public spaces and are required to frequently clean their hands using soap and water or using hand sanitizer. In addition, classrooms, offices, libraries, and laboratory rooms are ventilated and cleaned regularly at the end of each session. Those who develop COVID-19 symptoms should stay in their dorms and immediately report it and seek medical care.

Many studies have shown that the success of national efforts at controlling the pandemic profoundly depends on the community's perception and attitude toward the epidemic and the significance of prevention behaviors (22, 23). The perception and practice of students are strongly correlated with incidences of many infectious diseases, which negatively or positively affect efforts to prevent infectious transmission (22, 23). As the existence of a single case can cause pandemics, special consideration should be given to high-risk groups (20). Thus, assessing the practice and perception of COVID-19 preventive measures plays a vital role in understanding the sustainability of these behaviors. Therefore, this study aimed to assess the perception toward national efforts at controlling COVID-19 pandemics and the practice of prevention behaviors and its associated factors among Debre Berhan University students.

Methods and Materials

Study Area, Period, and Design

An institution-based cross-sectional study was undertaken at Debre Berhan University from December 1 to 15, 2020, when students re-entered campus. Debre Birhan is the capital city of the North Shewa Zone of the Amhara Region and is located 130 km Northeast of Addis Ababa on the Ethiopian highway. DBU has fourteen colleges and 50 departments. During the study year, DBU had 11,573 regular students, including 7,154 male students and 4,419 female students.

Sample Size Determination and Sampling Procedure

Open Epi version 3.03 statistical software was used to calculate the required sample size. The assumptions are a practice of prevention measure of 65% (13), confidence level of 95%, a significance level of α = 5%, a margin of error of 5%, power (1-β) of 80%, and design effect was 2. Adding a 5% non-response rate, the sample size was 713.

A multistage sampling method was applied to recruit study participants. In the beginning, five colleges were randomly selected by the lottery method. Using probability proportional to size (PPS), the required sample size was allocated to the study departments depending on the number of students. Finally, a simple random sampling technique was followed to pick the required participants from the list of students obtained from the study departments.

Inclusion and Exclusion Criteria

Randomly selected students who agreed to participate were included. Students who had a hearing problem and were unable to fill out the questionnaire were excluded from the study.

Data Collection Tool and Measurements

Data were collected using a semi-structured, pre-tested, and self-administered questionnaire. The questionnaire was designed by referring to former studies (2427) and was modified to fit the local setting. The questionnaire comprised questions related to sociodemographic background, information sources, the practice of COVID-19 prevention measures, and perceptions of the national effort at controlling the pandemic.

To determine the perception of students toward the national effort to control COVID-19, four questions with three alternative options, “Yes”, “Not sure”, or “No” were prepared (Table 2). For those who respond “Yes”, one point was allocated and those who responded “Not sure” or “No” received zero points. Students who scored below 3 points were considered to have low perception and those who scored 3 and above were considered to have a high perception of the national effort of COVID-19 prevention strategies (28). The reliability of items has been checked (Cronbach's alpha 0.66).

The preventive practice of COVID-19 was assessed by ten questions with three alternative responses “Always”, “Sometimes”, or “Never” (Table 3). Two points were given for the correct answers, one point for the answer “Sometimes”, and zero for incorrect answers. The total preventive practice scores were computed out of 20 points, and those who scored ≥75% (≥15 points) were considered to have good practices and <75% (<15 points) poor practices (27). The reliability of items has been checked (Cronbach's alpha 0.80).

Data Quality Control

A pre-test was done among Victory College students on 5% (36 students) of the sample. A reproductive health expert checked the face and content validity of the questionnaire. The completeness, clarity, and appropriateness of questions were revised based on the results of the pretest and expert opinion. Two supervisors and four data collectors were involved in the data collection. One-day training regarding the objectives, procedures, and data collection tools were given to supervisors and data collectors. The supervisor and principal investigators checked and reviewed the data daily for completeness, clarity, and consistency.

Data Management and Analysis

The data were systematically checked, cleaned, and coded. Epi-data version 4.6 was used for data entry and SPSS version 25.0 for statistical analysis. Basic descriptive analysis was performed. The means and standard deviations were estimated for continuous variables, and the frequency distribution was used for categorical data. Binary logistic regression analysis was computed to identify significant associates of COVID-19 prevention practice. A p-value of less than 0.05 in the multivariable analysis was considered statically significant. The result of this model was expressed using an adjusted odds ratio with 95% CI and the Hosmer Lemeshow goodness of fit was run to check for model fitness.

Ethical Consideration

The Institutional Review Board (IRB) of Debre Berhan University approved the proposal, tools, and informed consent. After explaining the objective and benefits of the study, written informed consent was obtained from voluntary participants. Confidentiality and anonymity were ensured.

Results

Baseline Characteristics of Participants

Of the total 712 students, 682 (95.8% response rate) responded to the self-administered survey. The mean age of respondents was 23.35 ± 3.46 (SD) years. Up to 43.4% were females compared to 56.6% males. Besides, 76.2% were single, 91.8% were Christian and 83.6% were undergraduate students. Telegram (66.6%) was the commonest means of acquiring information regarding COVID-19. Around 4.7% and 4.4% of students had diabetes and hypertension, respectively (Table 1).

Table 1

VariablesCategoryFrequencyPercent (%)
AgeMean ± SD of age (in years)23.35 (mean)± 3.46 (SD)
GenderMale
Female
386
296
56.6
43.4
ResidenceRural
Urban
350
332
51.3
48.7
ReligionChristian
Muslim
626
56
91.8
8.2
Marital statusSingle
In relationship
Married
Divorced/Widowed
520
76
72
14
76.2
11.1
10.6
2.1
Level of educationUndergraduate studies
Postgraduate studies
570

112
83.6

16.4
FacultyMedicine and Health Science
Non-health/non-medical
442

240
64.8

35.2
Fathers educationNo formal education
Primary
Secondary
Higher education
304

112
104
162
44.6

16.4
15.2
23.8
Mothers educationNo formal education
Primary
Secondary
Higher education
360

112
100
110
52.8

16.4
14.7
16.1
Number of students in the dorm<4
≥4
112
560
17.9
82.1
Chronic diseaseDiabetes
Hypertension
Kidney disease
Heart disease
Respiratory disease
HIV/AIDS
32
30
26
40
40

24
4.7
4.4
3.8
5.9
5.9

3.5
Sources of informationFacebook
Telegram
You tube
WhatsApp
Instagram
Scientific websites and articles
TV and/or Radio
Magazines and newspaper
376
454
152
50
86
84



408
78
55.1
66.6
22.3
7.3
12.6
12.3



59.8
11.4

Respondents baseline characteristics, 2020.

Perception of National Efforts at Controlling the COVID-19 Pandemic

In this study, 32% (N = 218), 95% CI (28.8–35.2), of students had a high perception of the national efforts at controlling the COVID-19 pandemic. The mean cumulative score of perception was 1.88 ± 1.4. More than half of the respondents (57.2%) agreed that the Ethiopian government had taken preventative measures early. However, only 42.5% think health facilities have adequate instruments to handle confirmed and suspected cases (Table 2).

Table 2

VariablesYes, n (%)Not sure, n (%)No, n (%)
Do you believe that the Ethiopian government took preventative measures early?390 (57.2)196 (28.7)96 (14.1)
Do you believe that the Ethiopian government took sufficient measures during the pandemic?292 (42.8)244 (35.8)146 (21.4)
Do you believe that health facilities have adequate instruments to handle confirmed and suspected cases?290 (42.5)212 (31.1)180 (26.4)
Do you believe that the efforts at your place of residence will succeed in restricting the spread of the virus?312 (45.7)256 (37.5)114 (16.7)

Perception of national efforts at controlling the COVID-19 pandemic among university students, 2020.

The Practice of COVID-19 Prevention Behaviors

Nearly three-quarters (72.4%) of participants regularly use face masks and 61% of them frequently washed their hands with soap and water. Besides, 60.7% of students self-quarantine if exposed and advised to do so. However, only 30.8% always use hand sanitizers. The overall good practice of prevention behaviors was 37.5% (N = 256), 95% CI (33.7–41.2), and the mean cumulative score of practice was 13.4 ± 4.04 (Table 3).

Table 3

VariablesAlwaysSometimesNever
I wear a face mask.494 (72.4%)178 (26.1%)10 (1.5%)
I avoid touching my nose, face, and eye with an unclean hand.296 (43.4%)310 (45.5%)76 (11.1%)
I avoid handshakes and kissing others.230 (33.7%)324 (47.5%)128 (18.8%)
I maintain physical distancing.230 (33.7%)332 (48.7%)120 (17.6%)
I use soap and water to frequently clean my hands.416 (61.0%)242 (35.5%)24 (3.5%)
I use hand sanitizers.210 (30.8%)278 (40.8%)194 (28.4%)
I keep rooms well-ventilated.268 (39.3%)284 (41.6%)130 (19.1%)
I avoid crowds.266 (39.0%)316 (46.3%)100 (14.7%)
I use my bent elbow or tissue while coughing.352 (51.6%)262 (38.4%)68 (10.0%)
I quarantine myself if am suspected to have COVID-19.414 (60.7%)154 (22.6%)114 (16.7%)

COVID-19 prevention behavior practices among university students, 2020.

Factors of COVID-19 Prevention Practice

Based on the multivariable logistic regression analysis model, female students were 67% more likely to have good COVID-19 prevention practices compared to males [AOR (CI) = 1.67 (1.17–2.37)]. Students from rural residences were also 56% more likely to practice COVID-19 prevention measures compared to their counterparts [AOR (CI) = 1.56 (1.07–2.29)]. There are 94% increased odds of COVID-19 prevention practice among students whose fathers had attended higher education [AOR (CI) = 1.94 (1.06–3.56)] compared to those students whose fathers had no formal education. Similarly, the odds of having good practice of COVID-19 prevention behaviors were approximately three times higher among students who had the respiratory disease [AOR (CI) = 2.81 (1.32–5.95)] and high perception of the national efforts at controlling COVID-19 infection [AOR (CI) = 2.94 (2.04–4.25)]. Besides, students who obtained information from YouTube were 87% more likely to show COVID-19 prevention behaviors [AOR (CI) = 1.87 (1.19–2.91)] (Table 4).

Table 4

VariablesCategoriesPracticeCOR (95% CI)AOR (95% CI)
UnsatisfactorySatisfactory
GenderMale
Female
260
166
126
130
1
1.62 (1.18–2.21)
1
1.67 (1.17–2.37)*
ResidenceRural
Urban
210
216
140
116
1.24 (0.91–1.69)
1
1.56 (1.07–2.29)*
1
ReligionChristian
Muslim
384
42
242
14
1.89 (1.01–3.53)
1
1.71 (0.88–3.31)
1
FacultyHealth
Non-health
264
162
178
78
1.40 (1.01–1.95)
1
1.22 (0.83–1.79)
1
Fathers educationNo formal education
Primary
Secondary
Higher education
194

68
70
94
110
44
34
68
1
1.14 (0.73–1.78)
0.86 (0.53–1.37)
1.28 (0.86–1.88)
1
1.42 (0.83–2.45)
1.31 (0.69–2.46)
1.94 (1.06–3.56)*
Friend/family history of COVID-19Yes
No
54
372
44
212
1.43 (0.93–2.20)
1
1.67 (0.98–2.83)
1
Friends/families died from COVID-19Yes
No
20
406
22
234
1.91 (1.02–3.57)
1
0.80 (0.37–1.76)
1
Respiratory diseaseYes
No
20
406
20
236
1.72 (0.91–3.26)
1
2.81 (1.32–5.95)*
1
Kidney diseaseYes
No
20
406
6
250
0.49 (0.19–1.23)
1
0.35 (0.12–1.03)
1
Telegram useYes
No
276
150
178
78
1.24 (0.89–1.73)
1
1.44 (0.98–2.10)
1
You tubeYes
No
88
338
64
192
1.28 (0.89–1.85)
1
1.87 (1.19–2.91)*
1
Magazines/NewspaperYes
No
56
370
22
234
0.62 (0.37–1.04)
1
0.56 (0.31–1.04)
1
Websites/ArticlesYes
No
62
364
22
234
0.55 (0.33–0.92)
1
0.56 (0.30–1.05)
1
Perception toward the national effortLow perception
High perception
326
100
138
118
1
2.79 (1.99–3.88)
1
2.94 (2.04–4.25)*

Factors of COVID-19 prevention behaviors, 2020.

Bold and * indicate statistically significant at p < 0.05.

Discussion

This study determined the perception and practice of university students regarding COVID-19 and its related factors to infection prevention practices. The levels of good practice toward COVID-19 were 37.5%, 95% CI (33.7–41.2).

The overall prevention practice was consistent with study findings from Pakistan (12), Mizan Tepi (20), Gondar (29), and Dire Dawa (30), in which 36.5, 42, 41.6, and 40.7% of university students had good prevention practices, respectively. This low practice might be the cause of the high number of infected cases and deaths in Ethiopia. Besides, the communities are careless and ignorant of the impacts of the pandemics. The people undermine the virus thinking that they are not vulnerable/infected and the virus is self-limiting. Others believed that the government was using it for political benefit rather than to combat the pandemic (30).

On the other hand, it was lower than 60.8% from Cameroon (31), 65% from South Wollo (13), and 59.8% from Addis Ababa (32). This could be related to the difference in the cut-values, i.e., this study used a 75% cut off point to categorize prevention practice while former studies used 80% and above. Besides, it may be due to variations in the sample size and study period. Our study was conducted during school resumption when students had just gone back to school, however, the Cameroon, South Wollo, and Addis Ababa studies were conducted during the rapid spread of the virus, April to May 2020. This was the time that most communities perceive the virus as dangerous and practice precautionary actions.

This level was, however, higher than the findings from South Ethiopia (33), in which only 20% of participants practiced COVID-19 prevention behaviors. The differences might have been subjected to variations in the study populations. This study sampled university students, who were supposed to have a better educational background and access to information. By contrast, the study in South Ethiopia included community members, where most are rural residents and attended primary school.

This study found that about one-third (32%) of students had a high perception of national efforts to control the COVID-19 pandemic. About 57.2% of students agreed that the Ethiopian government had taken preventative measures early. Only 42.5% think that health facilities have adequate instruments to handle confirmed and suspected cases. This was comparable with the study report from Egypt and Nigeria, where only 22% of populations are happy with their country's approach to the pandemic. However, 62.1% had a satisfactory perception of worldwide attempts at controlling and preventing the spread of COVID-19 (25). Moreover, in Libya, 73.8% of students are confident that their country can win the battle against COVID-19 (27).

Female students were more likely to have good COVID-19 prevention practices compared to male students [AOR (CI) = 1.67 (1.17–2.37)]. Similarly in Hong Kong male participants were less likely to implement prevention measures (15). Another study in Ethiopia found that female students had better compliance with prevention measures (34). Many studies concluded that female students are more cautious, sensitive, and preventive (24, 30). This might be because most female students spend their time at home, and are commonly involved in childcare and food preparation. Thus, by nature they are likely to exercise precautionary measures, i.e., cleaning washing, and avoiding crowds, to protect themselves and others. Besides, female participants in this study had a high-risk perception of COVID-19 (35). Perception of greater risk is associated with the adoption of health preventive behaviors (36).

Students from rural residences were more likely to practice COVID-19 prevention measures compared to their counterparts [AOR (CI) = 1.56 (1.07–2.29)]. Comparable findings were reported from Mizan Tepi University, where rural residency was positively associated with practice (20). This contradicts a study from China (37), Gondar (29), and South Wollo (13), where the odds of practice among students from urban residences were more likely than those from rural communities. The current study implies that information dissemination through social and news media, mobile phones, and public information campaigns has not substantially influenced the use of prevention measures, as it is anticipated that living in urban areas helps people access updated information. Further research may be needed to clarify these discordant findings.

Prevention practice was significantly higher among students whose fathers had attended higher education compared to students whose fathers had not attended formal education [AOR (CI) = 1.94 (1.06–3.56)]. Similarly, in southern Ethiopia, a significant positive association was reported (33) Furthermore, an online survey indicated poor prevention practices among people with a lower level of education (34). This could be because educated people are more likely to use social media, scientific websites, articles, and news media, which in turn increases access to information regarding precaution measures. Besides, the educational level was significantly related to knowledge of COVID-19 prevention behaviors (38). Consecutively, good knowledge increases the chance of adopting health prevention practices (29).

Increased odds of practice were noted among students with respiratory disease. Students who had a chronic respiratory disease were approximately three times to have good prevention practice [AOR (CI) = 2.81 (1.32–5.95)]. Similarly, in Dire Dawa (30) and Gedeo Zone (33), participants with chronic medical illnesses, i.e., diabetes, hypertension, chronic respiratory disease, and heart disease were more likely to practice prevention methods. The justification might be that patients with chronic illness have altered local/systemic immune responses and host microbiome. Thus, patients with systemic illness had a higher risk of developing severe disease from the virus, hospital admission, and death. In one meta-analysis study, patients with chronic obstructive pulmonary disease (COPD) had five times more risk of severe infection (39). Hence, they have a high chance of caring regularly for themselves.

This study depicted that students who obtained information from YouTube were more likely to experience prevention behaviors [AOR (CI) = 1.87 (1.19–2.91)]. This result was supported by a former study finding from Jordan, in which the use of social and news media platforms such as YouTube, Facebook, WhatsApp, and others, positively influence healthy behavioral changes and COVID-19 prevention (40). Besides, in the Amhara region, social media was a significant predictor of good knowledge and practice of COVID-19 (41). This could be because of quick access to up-to-date information and the availability of the service everywhere and every time using mobile data. The potential advantages of social media platforms include enhanced public awareness, improved health outcomes, promotion of healthy behavior, dissemination of public health interventions, and delivery of health news/facts to the community. However, informants, i.e., the World Health Organization, Government, and Ministry of Health (MOH), should assess the choice of media of students and the society to provide news/facts regarding COVID-19.

Students who had a high perception of the national efforts at controlling and preventing COVID-19 were three times more likely to have good prevention practices [AOR (CI)= 2.94 (2.04–4.25)]. A consistent finding was reported from the US, in which students with greater perceptions were more likely to implement health-protective behaviors to avoid COVID-19 (36). High perception is important for enhancing protection and control priorities against COVID-19 infection.

Because of the emergent nature of the COVID-19 pandemic, social immunization programs are required to maximize the health of the population. It is an essential program for attaining both the national and international goals in the control of the COVID-19 pandemic. To build trust, this needs to be conducted ethically with detailed counseling and education of health care providers and the community (42). However, the current vaccination coverage is insufficient to achieve pandemic control. Vaccine hesitancy become a growing challenge for social immunization programs. Vaccine hesitancy is a delay in acceptance or refusal of safe vaccines for themselves or their children despite the availability of vaccination services. Such perceptions might be the result of misinformation from mass media, political issues, the health system, and/or the community. Strengthening health literacy and counseling at all levels is required to improve COVID-19 vaccination uptake and reach (43). Vaccinated people had less risk of individual symptoms, severe disease, hospital admission, and death (44). The combination of vaccination and wearing a mask is potentially synergistic and is of high benefit in the prevention and control of COVID-19 (45).

Limitations

Participants may have answered questions in a manner that would be viewed favorably by others and/or may not respond to the actual practice (social desirability bias). Other confounders like knowledge and attitude were not assessed in this study. Since this is cross-sectional, it fails to establish a causal relationship.

Conclusion and Recommendation

During school reopening, most students had a low perception of national efforts at controlling COVID-19 and poor prevention practices. Socio-demographic background, having a chronic illness, information source, and perception of national efforts were factors of COVID-19 prevention practice. The findings will help instructors, health bureau managers, health care professionals, woreda, zonal, and university administrators, and other responsible bodies to organize the necessary interventional programs i.e., health education, law enforcement, award, and recognition for practitioners, to prevent further spread.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Debre Berhan University. The patients/participants provided their written informed consent to participate in this study.

Author contributions

MT conceived and designed the proposal, performed analysis, and prepared the manuscript. ST, GA, and GM critically revised, provided necessary comments, and made basic adjustments to the final article. All authors contributed to the article and approved the submitted version.

Acknowledgments

The authors are thankful to Debre Berhan University for approval of the study. We are also grateful to the supervisors, data collectors, and study participants.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  • 1.

    NadeemS. Coronavirus COVID-19: available free literature provided by various companies, journals and organizations around the world. J Ongoing Chem Res. (2020) 5:713. 10.5281/zenodo.3722904

  • 2.

    European Center for Disease Prevention and Control. Coronavirus Disease (COVID-19) Pandemic: Increased Transmission in the EU/EEA and the UK - Seventh Update (2020).

  • 3.

    CucinottaDVanelliM. WHO declares COVID-19 a pandemic. Acta Biomed. (2020) 91:15760. 10.23750/abm.v91i1.9397

  • 4.

    BaiYYaoLWeiTTianFJinDYChenLet al. Presumed asymptomatic carrier transmission of COVID-19. JAMA. (2020) 323:14067. 10.1001/jama.2020.2565

  • 5.

    AdhikariSPMengSWuYMaoYYeRWangQet al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review. Infect Dis Poverty. (2020) 9:29. 10.21203/rs.2.24474/v1

  • 6.

    WuZMcGooganJM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention. JAMA. (2020) 323:123942. 10.1001/jama.2020.2648

  • 7.

    HuangCWangYLiXRenLZhaoJHuYet al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. (2020) 395:497506. 10.1016/S0140-6736(20)30183-5

  • 8.

    World Health Organization. Coronavirus Update (Live):117,455,738 Cases and 2,605,472 Deaths from COVID-19 Virus Pandemic - Worldometer. Available online at: https://www.worldometers.info/coronavirus/?zarsrc=130 (accessed March 8, 2021).

  • 9.

    GilbertMPullanoGPinottiFValdanoEPolettoCBoëllePYet al. Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study. Lancet. (2020) 395:8717. 10.1016/S0140-6736(20)30411-6

  • 10.

    PengYPeiCZhengYWangJZhangKZhengZet al. Knowledge, attitude and practice associated with COVID-19 among university students: a cross-sectional survey in China. BMC Public Health. (2020) 20:1292. 10.21203/rs.3.rs-21185/v1

  • 11.

    JahangiryLBakhtariFSohrabiZReihaniPSameiSPonnetKet al. Risk perception related to COVID-19 among the Iranian general population: an application of the extended parallel process model. BMC Public Health. (2020) 20:1527. 10.1186/s12889-020-09681-7

  • 12.

    SalmanMMustafaZUAsifNZaidiHAHussainKShehzadiNet al. Knowledge, attitude and preventive practices related to COVID-19: a cross-sectional study in two Pakistani university populations. Drugs Ther Perspect. (2020) 36:31925. 10.1007/s40267-020-00737-7

  • 13.

    TadesseAMeleseNEshetieSChaneMAliA. Knowledge, attitude, and practice and associated factors towards COVID-19 among college students in Amhara region, Ethiopia; a cross-sectional study. J Public Health Res. (2020) 31:13. 10.21203/rs.3.rs-38099/v1

  • 14.

    DagneHAlemuKADagnewBTaddesseDAlemayehuAMAndualemZet al. Prevention practice and associated factors of Coronavirus disease 2019 (COVID-19) outbreak among educated Ethiopians: an online based cross-sectional survey. (2020) 122. 10.21203/rs.3.rs-34504/v1

  • 15.

    WongCLChenJChowKMLawBMHChanDNSSoWKWet al. Knowledge, attitudes and practices towards COVID-19 amongst ethnic minorities in Hong Kong. Int J Environ Res Public Health. (2020) 17:113. 10.3390/ijerph17217878

  • 16.

    TesfawAArageGTeshomeFTaklualWSeidTBelayEet al. Community risk perception and barriers for the practice of COVID-19 prevention measures in Northwest Ethiopia: a qualitative study. PLoS ONE. (2021) 16:e0257897. 10.1371/journal.pone.0257897

  • 17.

    TanWHaoFMcIntyreRSJiangLJiangXZhangLet al. Is returning to work during the COVID-19 pandemic stressful? A study on immediate mental health status and psychoneuroimmunity prevention measures of Chinese workforce. Brain Behav Immun. (2020) 87:8492. 10.1016/j.bbi.2020.04.055

  • 18.

    World Health Organization. Question and Answers Hub. Available online at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub (accessed March 8, 2021).

  • 19.

    ZikargaeMH. COVID-19 in Ethiopia: assessment of how the Ethiopian government has executed administrative actions and managed risk communications and community engagement. Risk Manag Healthc Policy. (2020) 13:280310. 10.2147/RMHP.S278234

  • 20.

    AngeloATAlemayehuDSDachoAM. Knowledge, attitudes, and practices toward Covid-19 and associated factors among university students in Mizan Tepi University 2020. Infect Drug Resist. (2021) 14:34960. 10.2147/IDR.S299576

  • 21.

    COVID-19 Advice - Protect Yourself and Others | WHO Western Pacific. Available online at: https://www.who.int/westernpacific/emergencies/covid-19/information/covid-19-new-normal (accessed February 26, 2022).

  • 22.

    PersonBSyFHoltonKGovertBLiangAGarzaBet al. Fear and stigma: the epidemic within the SARS Outbreak. Emerg Infect Dis. (2004) 10:35863. 10.3201/eid1002.030750

  • 23.

    TaoN. An analysis on reasons of SARS-induced psychological panic among students. J Anhui Inst Educ. (2003) 21:789.

  • 24.

    FirouzbakhtMOmidvarSFirouzbakhtSAsadi-AmoliA. COVID-19 preventive behaviors and influencing factors in the Iranian population; a web-based survey. BMC Public Health. (2021) 21:143. 10.1186/s12889-021-10201-4

  • 25.

    HagerEOdetokunIABolarinwaOZainabAOkechukwuOAl-MustaphaAI. Knowledge, attitude, and perceptions towards the 2019 Coronavirus pandemic: a bi-national survey in Africa. PLoS ONE. (2020) 15e0236918. 10.1371/journal.pone.0236918

  • 26.

    Prasad SinghJSewdaAShivDG. Assessing the knowledge, attitude and practices of students regarding the COVID-19 pandemic. J Health Manag. (2020) 22:28190. 10.1177/0972063420935669

  • 27.

    ElhadiMMsherghiAAlsoufiABuzregABouhuwaishAKhaledAet al. Knowledge, preventive behavior and risk perception regarding COVID-19: a self-reported study on college students. Pan Afr Med J. (2020) 35(Supp 2):110. 10.11604/pamj.supp.2020.35.2.23586

  • 28.

    DiresAAddisSGGetachew TesemaY. Perceived efficacy of COVID-19 prevention measures and intention to use among chronic disease patients in northeast Ethiopia, 2020. (2020) 126. 10.21203/rs.3.rs-73649/v1

  • 29.

    AbateHMekonnenCK. Knowledge, attitude, and precautionary measures towards COVID-19 among medical visitors at the university of gondar comprehensive specialized hospital northwest Ethiopia. Infect Drug Resist. (2020) 13:435566. 10.2147/IDR.S282792

  • 30.

    AmsaluBGutaASeyoumZKassieNSemaADejeneWet al. Practice of COVID-19 prevention measures and associated factors among residents of Dire Dawa City, Eastern Ethiopia: community-based study. J Multidiscip Healthc. (2021) 14:21928. 10.2147/JMDH.S292409

  • 31.

    NgwewondoANkengazongLAmbeLAEbogoJTMbaFMGoniHOet al. Knowledge, attitudes, practices of/towards COVID 19 preventive measures and symptoms: a cross-sectional study during the exponential rise of the outbreak in Cameroon. PLoS Negl Trop Dis. (2020) 14:e0008700. 10.1371/journal.pntd.0008700

  • 32.

    DesalegnZDeyessaNTekaBShiferawWHailemariamDAddissieAet al. COVID-19 and the public response: knowledge, attitude and practice of the public in mitigating the pandemic in Addis Ababa, Ethiopia. PLoS ONE. (2021) 16:e0244780. 10.1371/journal.pone.0244780

  • 33.

    MolaSAwekeZJemalBHussenRHailuSNemeDet al. Magnitude and associated factors for attitude and practice toward COVID-19 and its prevention among the residents of Gedeo zone, southern Ethiopia: a community-based cross-sectional study. Risk Manag Healthc Policy. (2021) 14:25362. 10.2147/RMHP.S277904

  • 34.

    AsnakewZAsreseKAndualemM. Community risk perception and compliance with preventive measures for COVID-19 pandemic in Ethiopia. Risk Manag Healthc Policy. (2020) 13:288797. 10.2147/RMHP.S279907

  • 35.

    DingYDuXLiQZhangMZhangQTanXet al. Risk perception of coronavirus disease 2019 (COVID-19) and its related factors among college students in China during quarantine. PLoS ONE. (2020). 15:e0237626. 10.1371/journal.pone.0237626

  • 36.

    Bruine de BruinWBennettD. Relationships between initial COVID-19 risk perceptions and protective health behaviors: a national survey. Am J Prev Med. (2020) 59:15767. 10.1016/j.amepre.2020.05.001

  • 37.

    PengYPeiCZhengYWangJZhangKZhengZet al. A cross-sectional survey of knowledge, attitude and practice associated with COVID-19 among undergraduate students in China. BMC Public Health. (2020) 20:1292. 10.1186/s12889-020-09392-z

  • 38.

    OlaimatANAolymatIShahbazHMHolleyRA. Knowledge and information sources about COVID-19 among university students in Jordan: a cross-sectional study. Front Public Health. (2020) 8:254. 10.3389/fpubh.2020.00254

  • 39.

    LippiGHenryBM. Chronic obstructive pulmonary disease is associated with severe coronavirus disease 2019 (COVID-19). Respir Med. (2020) 167:105941. 10.1016/j.rmed.2020.105941

  • 40.

    Al-DmourHMasa'dehRSalmanAAbuhasheshMAl-DmourR. Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: integrated model. J Med Internet Res. (2020) 22:115. 10.2196/preprints.19996

  • 41.

    AsemahagnMA. Factors determining the knowledge and prevention practice of healthcare workers towards COVID-19 in Amhara region, Ethiopia: a cross-sectional survey. Trop Med Health. (2020) 48:72. 10.1186/s41182-020-00254-3

  • 42.

    VuongQ-HLeT-TLaV-PNguyenHTTHoM-TVan KhucQet al. Covid-19 vaccines production and societal immunization under the serendipity-mindsponge-3D knowledge management theory and conceptual framework. Human Soc Sci Commun. (2022) 9:112. 10.1057/s41599-022-01034-6

  • 43.

    AmitAMLPepitoVCFSumpaico-TanchancoLDayritMM. COVID-19 vaccine brand hesitancy and other challenges to vaccination in the Philippines. PLoS Glob Public Heal. (2022) 2:e0000165. 10.1371/journal.pgph.0000165

  • 44.

    KnolMJBackerJAde MelkerHEvan den HofSde GierB. Transmissibility of SARS-CoV-2 among fully vaccinated individuals. Lancet Infect Dis. (2022) 22:167. 10.1016/S1473-3099(21)00763-5

  • 45.

    BrüssowHZuberS. Can a combination of vaccination and face mask wearing contain the COVID-19 pandemic?Microb Biotechnol. (2021) 15:72137. 10.1111/1751-7915.13997

Summary

Keywords

COVID-19, perception, practice, factors, Ethiopia

Citation

Tadese M, Tessema SD, Altaye G and Mulu GB (2022) Perception of University Students Towards National Efforts at Controlling COVID-19 Pandemics, the Practice of Prevention Measures and its Associated Factors During School Reopening. Front. Public Health 10:843974. doi: 10.3389/fpubh.2022.843974

Received

04 January 2022

Accepted

22 March 2022

Published

27 April 2022

Volume

10 - 2022

Edited by

Mohamed Farouk Allam, Ain Shams University, Egypt

Reviewed by

Nigussie Tadesse Sharew, University of Groningen, Netherlands; Minh-Hoang Nguyen, Phenikaa University, Vietnam

Updates

Copyright

*Correspondence: Mesfin Tadese

This article was submitted to Public Health Education and Promotion, a section of the journal Frontiers in Public Health

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics