Abstract
Background
The novel coronavirus disease 2019 (COVID-19) is a respiratory infection that is spreading worldwide. The WHO has recommended public health preventive measures for COVID-19 prevention and control. Adherence to COVID-19 preventive measures is important for disease prevention and control of the disease’s spread. So, implementing preventive measures plays an essential role in reducing the spread of COVID-19 infection. This study aimed to assess the adherence status toward COVID-19 preventive measures and associated factors among high school students.
Methods
528 high school students participated in an institutional-based cross-sectional study. A multistage sampling technique and a systematic random sampling method were applied to select the study participants. The data was entered into EpiData V.3.1 and then exported to SPSS V.23 for analysis. Bivariate and multivariable logistic regressions were computed. The significance of the association was declared by a 95% CI of adjusted OR (AOR) and a p value<0.05 in the multivariate model.
Result
A total of 528 respondents participated in the study, with a 100% response rate. The overall adherence level of high school students toward COVID-19 prevention measures was 110 (20.8%, 95% CI: 17.4%, 24.6%). The mean(±SD) age of the respondents was 18 (SD 11±2) years, which ranges from 16 to 24 years, and 387 (73.3%) were in the age group of 19–20 years, The majority of the students (418; 79.2%, 95% CI: 75.4, 82.6) had poor adherence to COVID-19 preventive measures. 345 (65.3%) had good knowledge, 328 (62.1%) had unfavourable attitudes and 390 (73.9%) had poor risk perception for COVID-19 preventive measures. This study revealed that most (89.9%) of the high school students did not maintain a physical distance of 2 m away, 84.4% of the students had no regular handwashing practice, majority 71.4% of the students did not use facemasks/covered their face during coughing and 62.9% of the students had no face mask and 54% of the students did not use sanitiser or alcohol per recommendation. This study revealed that sex (AOR: 2.42, 95% CI: 1.46, 4.02), attitude (AOR: 4.04, 95% CI: 2.45, 6.68) and risk perception (AOR: 7.60, 95% CI: 4.62, 12.54) were significantly associated with poor adherence toward COVID-19 prevention measures.
Conclusion
This study’s findings revealed that adherence to COVID-19 preventive measures among high school students was very low. Therefore, promoting adherence to COVID-19 preventive measures demands awareness creation and risk communication to build an appropriate level of knowledge, attitude and risk perception.
Keywords: Infection Control, COVID-19, Respiratory Infection, Clinical Epidemiology
WHAT IS ALREADY KNOWN ON THIS TOPIC
Good knowledge status of people toward COVID-19 prevention measures was found to be good adherence practice toward COVID-19 prevention measures.
WHAT THIS STUDY ADDS
Assessing adherence to COVID-19 prevention measures among students can provide valuable insights into their adherence to public prevention measure protocol and their impacts on controlling the spread of the virus within education settings.
This could be due to most students unfavourable attitudes and low-risk perception towards COVID-19 prevention measures.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
By examining prevention measures among students, the study can evaluate student practice to prevention measures in reducing COVID-19 transmission. The findings from this study can provide practitioners (clinicians and educators) with evidence-based information to inform their practices. This finding might help health educational programmes to develop a guideline for implementing effective strategies in real-world settings to prevent the spread of infectious diseases.
Background
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 is a respiratory illness that affects the human respiratory system. COVID-19 has spread to practically all continents of the world. The COVID-19 disease has been a public health risk of international concern.1 COVID-19 is a globally spreading respiratory disease also called the SARS-CoV-2 virus.2 COVID-19 was first reported in December 2019, in Wuhan, Hubei province, China.3 The WHO declared the COVID-19 outbreak a public health emergency international concern on 30 January 2020.4 In a couple of weeks, the COVID-19 pandemic spread from Wuhan, China, to the rest of the world, with exponentially increasing numbers of infected patients and fatalities worldwide.5
On 12 March 2020, WHO labelled COVID-19 as a pandemic disease.6 Ethiopia’s Federal Ministry of Health announced a COVID-19 case in the capital, Addis Ababa, on 13 March 2020, which was the first case recorded in Ethiopia since the epidemic began.7 On 8 April 2020, a state of emergency was declared to prevent the spread of COVID-19. On the ground, however, none of the recommended preventive and control measures are practical. On the other hand, information about the disease and its preventive mechanisms were not widely distributed in rural communities.8
The cases and deaths due to COVID-19 are still public health problems globally and concerning for developing countries. Globally, on 21 September 2023, there have been 770 778 396 confirmed cases of COVID-19, including 6 958 499 deaths.9 Researchers believe that the COVID-19 pandemic can seriously affect African nations because of the weak healthcare system, crowding, poor hygiene practices and poverty can make the epidemic out of control.10 In Africa, because of low testing capacity, weak contact tracing and poor reporting systems, the number of cases and deaths is low as compared with developed nations.11 In Africa, as of 2 January 2023, 12 216 748 cases were recorded with 256 542 deaths and 11 517 41 recoveries having been reported.12
COVID-19 is transmitted from person to person mostly by respiratory droplets, close contact of healthy people with infected people (within 6 f) when talking, sneezing and coughing, and indirect contact with contaminated items or surfaces.13 14 The virus is typically spread from one person to another via respiratory droplets produced during coughing. It may also be spread by touching contaminated surfaces and then touching one’s face.15 Persons with confirmed COVID-19 viruses have clinical signs of fever, cough, shortness of breath, and sore throat within 14 days of the incubation period.16 17
WHO highly recommends COVID-19 preventive measures to prevent the spread of the disease, including keeping a physical distance, avoiding going to crowed gatherings, regular handwashing with soap or sanitiser, wearing a face mask, covering the mouth when coughing and sneezing and avoiding the touch of mouth, nose and eye.18 19 African countries including Ethiopia have accepted and practiced WHO recommendations for preventive measures.20
The adherence level to COVID-19 preventive measures in Africa was reported low, about 12.3% adhered to recommended COVID-19 preventive measure.21 22
Poor adherence to the recommended public health prevention strategies and poor socioeconomic status are the main barriers to breaking the transmission of COVID-19 in its infancy stage.8 11
Even though many countries in Africa scaled up their preparation and readiness to tackle the COVID-19 pandemic, shortages of testing kits, poor tracing systems, poor healthcare systems, PPE (personal protective equipment), shortage of laboratories and negligence of the public toward the preventive measures are the big challenges for the continent.11 23 24 The best way to transmission prevention measures depend on educating the public about the preventive measures including physical distancing, regular handwashing with soap or sanitiser, environmental cleaning, avoiding mass gatherings and mask wearing.23
COVID-19 preventive measures implementation is very low in Ethiopia. A nationwide finding revealed that in Ethiopia only 24.3% of the respondents were engaged with the recommended preventive measures.8 Some research revealed that in Ethiopia adherence to preventive measures for COVID-19 was only 12.3% regardless of the knowledge and attitude towards the virus.14 In Ethiopia there were factors for poor control of the viral transmission and implementation of COVID-19 preventive measures, including limited supplies of handwashing sanitisers, high resistance to implementation of recommended prevention practice and low socioeconomic status.
Schools are one of the institutions that have a lot of students and teachers who come from different places and stay in congested areas like classrooms or staff rooms which increases the risk of COVID-19 transmission. Also, students come from different directions, and can easily increase the chance of COVID-19 spreading in the community other than other members of the community. The Ethiopian government announced school opening, while the level of adherence to preventive measures had not been reported in Ethiopia among students and there is an information gap, therefore, this study was conducted to fill the information gap on the level of adherence to COVID-19 preventive measures among students. Therefore it is important to assess student knowledge, attitude, practice status and factors affecting to practice of recommended public health prevention measures. School is also an important setting in applying and creating awareness in the community adhering to the recommended public health prevention measure. Repeated research has been done at the community level on COVID-19 prevention measures. However, there is a lack of evidence-based information on high school students. To the best of our knowledge, few studies have been conducted on the level of adherence and factors affecting students’ adherence to COVID-19 preventive measures. This study aimed to assess the adherence status of high school students toward COVID-19 preventive measures and associate factors with non-adherence to COVID-19 preventive measures. So, the findings of this study help strengthen preventive measures to reduce the spread of COVID-19, resulting in decreased morbidity and death due to COVID-19.
Method and material
Study area and period
The study was conducted among high school students in Assosa town, in the Benishangul-Gumuz regional state of Northwest Ethiopia from 15 April 2021 to 30 April 2021. Assosa town is 657 km from Addis Ababa (the capital city of Ethiopia). Assosa town is the capital city of the Benishangul-Gumuz regional state. The region is bordered by the Amhara region in the north and northeastern and the Oromia region in the east and south. The geographical location of Assosa is 10° 04' to 10° 67' north and 34° 31' to 34° 517' east.
Study design
An institutional-based cross-sectional study was conducted among high school students in Assosa town, Northwest Ethiopia.
Study population and study population
All high school students attending high school education in Assosa town, Benishangul Gumuz, Northwest Ethiopia, in 2021 were the source population. All randomly selected high school students (grades 9th and 12th) in Assosa town high schools during data collection were the study population.
Inclusion and exclusion criteria
A student who was healthy and available during the data collection was included in the study and students who were in severe health problems and not available during the data collection were excluded.
Sample size determination
The sample size was determined by using a formula for single population proportion by considering assumptions such as; a 95% confidence level, 5% margin of error and 50% proportion (there was no available previous research finding adherence status to COVID-19 preventive measures among students).
| (1) |
| (2) |
Since it was a multistage sampling technique, a design effect of 1.5 was used to make our sample size more representative, 384×1.5=576
The population size of students was<10 000(N=2867), so the required minimum sample was obtained by using the correction formula, n/1+ (n/N) = 576/1+ (576/2867) = 480. By considering 10% for the non-response rate the final sample size was 528.
Sampling technique
A multistage sampling technique and then a systematic random sampling technique were employed to select study participants who fulfilled the inclusion criteria from high school students in Assosa town, Northwest Ethiopia. Students were selected using admission registration numbers from their roster and then students’ samples were proportionally selected from each high school.
Sampling procedure
Students were selected from four high schools, three governmental high schools and one private high school. Each high school’s students were selected by proportional allocation based on the number of students they enrolled in each high school. Finally, a systematic random sampling technique was employed to select study participants from four selected high schools. Students in each grade level were selected randomly. The first student was selected by the lottery method using their registration serial number, and the remaining students were selected at regular intervals of eight until the allocated sample size was reached.
Data collection instrument and procedure
A questionnaire was adapted after reviewing previous similar studies.20 25 26 A self-administered questionnaire with five parts was used for data collection. The first question concerns the socio-demographic background of students; the second question concerns the adherence level of students toward COVID-19 prevention measures; the third question concerns knowledge of COVID-19; the fourth question concerns attitude toward COVID-19; and the last question is concerned with the perception of COVID-19 prevention measures (online supplemental survey questionnaire 1).
Data quality control
Data collection was adapted from previous literature and adapted to the study setting with some modifications to the study area and participants. Before data collection, it was re-translated back to English to verify consistency. A pre-test was conducted among 5% of the study sample size that was randomly selected from participants out of the study to verify the appropriateness for validity, and then the data were checked for internal consistency and modifications were made accordingly. The data were checked at the moment of collection from students for completeness. Finally, data collection was supervised by a teacher for each class. Each student was responding to only the provided questionnaire.
Data processed and analysed
After data completeness and consistency were checked the collected data were coded and entered the data was entered into EpiData V.3.1 and then exported into SPSS V.23 software for analysis. Descriptive statistics were computed to measure the level of adherence to the COVID-19 preventive measure. Multicollinearity will be checked by using variance inflation factor, to test whether the associated independent variables were correlated or not. Hosmer-Lemeshow goodness-of-fit and the omnibus test were used to test the fattiness of the model. Bivariate logistic regression analysis was computed. Then multivariable logistic regression was computed for a variable with a p value<0.25 from binary logistic regression. From multivariable logistic regression p value<0.05 along with 95% CI and corresponding adjusted OR (AOR) was used to identify factors in the final multivariable model. Finally, the independent variables with a p value<0.05 with 95% CI were used to declare statistically significant with the outcome variable.
Operational definitions
Adherence to COVID-19 prevention measures is a variable that can be generated from keeping physical distancing 2 m and above, frequent handwashing, avoiding overcrowded places, staying home, using sanitiser or alcohol and wearing face masks so the individual was considered to have good adherence if he/she can response ‘YES’ to the median and above of the mentioned variables.
Knowledge: Participants who responded with a median and above score on the knowledge items about COVID-19 were labelled as having good knowledge whereas those below the median were labelled as having poor knowledge
Attitude: Participants who responded with a median and above score on the attitude questions about COVID-19 and its preventive measures were labelled as having a favourable attitude whereas below the median were labelled with an unfavourable attitude.
Risk perception of COVID-19 infection: Risk perception was measured by parameters; perceived susceptibility and perceived severity. The first dimension was proxies by how likely one considered oneself would be infected with COVID-19 if no preventive measures were taken. The second dimension was proxies by how one rated the seriousness of symptoms caused by COVID-19, their perceived chance of having COVID-19 cured and that of survival if infected with COVID-19. By combining the two dimensions, response options were asked to determine the respondents’ levels of risk perception.
Patient and public involvement
No patients or the public were involved in the development of the research question, design, conduct, analysis and interpretation of study results.
Results
Respondents’ socio-demographic characteristics
In this study, a total of 528 respondents participated. The mean (±SD) age of the respondents was 18 (SD 11±2) years, which ranges from 16 to 24 years. Above half of the respondents, 387 (73.3%) were in the age group of 19–20 years. Out of all respondents, more than half 273 (51.7%) of them were male and 255 (48.3%) were female. 201 (38.1%) of the participants were from the Amhara ethnic group and 136 (25.8%) were from the Oromo ethnic group. More than half 331 (62.68%) of the study participants were Orthodox religious followers. Regarding occupation, more than one-third 234 (44.3%) and 283 (53.6%) of the participant’s mothers and fathers are government employees, respectively. Furthermore, on average more than half 427 (80.9%) of the family members are four and above in the same household (table 1).
Table 1. Respondents’ socio-demographic characteristics among high school students in Assosa town, Northwest Ethiopia.
| Variable | Frequency | Per cent (%) |
| Sex | ||
| Male | 273 | 51.7 |
| Female | 255 | 48.3 |
| Age group | ||
| 16–18 | 115 | 21.8 |
| 19–20 | 387 | 73.3 |
| 21–24 | 26 | 4.9 |
| Religion | ||
| Orthodox | 331 | 62.68 |
| Muslim | 99 | 18.8 |
| Protestant | 91 | 17.2 |
| Other | 7 | 1.32 |
| Ethnicity | ||
| Amhara | 201 | 38.1 |
| Oromo | 136 | 25.8 |
| Shinasha | 65 | 12.3 |
| Gumuz | 67 | 12.7 |
| Berta | 41 | 7.8 |
| Others | 18 | 3.4 |
| Mother education status | ||
| No formal education | 164 | 31.1 |
| Formal education | 364 | 68.9 |
| Father education status | ||
| No formal education | 75 | 14.21 |
| Formal education | 453 | 85.79 |
| Mother occupation | ||
| Governmental employee | 234 | 44.3 |
| Private employee | 22 | 6.6 |
| Merchant | 102 | 19.32 |
| Housewife | 121 | 22.9 |
| Daily worker | 34 | 6.4 |
| Others | 5 | 0.9 |
| Father occupation | ||
| Governmental employee | 283 | 53.6 |
| Private employee | 16 | 3.03 |
| Daily worker | 58 | 11 |
| Merchant | 138 | 26.1 |
| Driver | 33 | 6.2 |
| Number of family members | ||
| ≥4 | 427 | 80.9 |
| <4 | 101 | 19.1 |
Adherence to COVID-19 prevention measures
This study found that the overall adherence toward COVID-19 preventive measures was 110 (20.8%, 95% CI: 17.4%, 24.6%) among high school students. while the remaining 418 (79.2%) the majority of students had poor adherence to the COVID-19 preventive measure (figure 1).
Figure 1. Adherence to COVID-19 preventive measures among high school students in Assosa town, Northwest Ethiopia 2021.

Among the preventive measures wearing face masks were not practiced by 332 (62.9%) of the students. More than two-thirds 383 (72.5%) of the students do not keep physical distancing as recommended. Similarly, about 446 (84.4%) of the students did not practice regular handwashing with soap as recommended (table 2).
Table 2. Adherence toward COVID-19 preventive measures among high school students in Assosa town, Northwest Ethiopia.
| Variable | Frequency | Per cent (%) |
| Do you keep physical distance of 2 m and above (6 feet apart)? | ||
| Yes | 145 | 27.5 |
| No | 383 | 72.5 |
| Wearing face mask | ||
| Yes | 196 | 37.1 |
| No | 332 | 62.9 |
| Do you avoid greeting with handshaking, embracing and checking, to kiss? | ||
| Yes | 145 | 27.5 |
| No | 383 | 72.5 |
| Do you use any cover/elbow during coughing and sneezing? | ||
| Yes | 151 | 28.6 |
| No | 377 | 71.4 |
| Do you avoid touching your eyes, nose and mouth with unwashed hands or fingers? | ||
| Yes | 192 | 36.4 |
| No | 336 | 63.6 |
| Regular handwashing with soap | ||
| Yes | 82 | 15.6 |
| No | 446 | 84.4 |
| Do you use sanitiser or alcohol for disinfection of the surface and hand? | ||
| Yes | 243 | 46 |
| No | 285 | 54 |
| Have you been practicing stay-at-home rule/avoid unnecessary group at home | ||
| Yes | 192 | 36.4 |
| No | 336 | 63.6 |
| Did you go to crowded places like markets or ceremony during the COVID-19 pandemic? | ||
| Yes | 428 | 81.1 |
| No | 100 | 18.9 |
| Do you share personal properties (pen, book, drawing materials) with other students? | ||
| Yes | 327 | 61.9 |
| No | 201 | 38.1 |
| Do you remove your uniform immediately when you reach home and put it in a separate place? | ||
| Yes | 381 | 72.2 |
| No | 147 | 27.8 |
| Is water and soap easily available in your school? | ||
| Yes | 191 | 36.2 |
| No | 337 | 63.8 |
| Is your class cleaned daily by using soap, water and sanitiser regularly? | ||
| Yes | 108 | 20.5 |
| No | 420 | 79.5 |
| Is there any rule that punishes student who fails to practice COVID-19 prevention measures in your school? | ||
| Yes | 120 | 22.72 |
| No | 408 | 78.28 |
Knowledge of COVID-19 prevention measures among high school students in Assosa town, Northwest Ethiopia
More than half of the study participants 345 (65.3%) had good knowledge of COVID-19 and the rest 183 (34.7%) had poor knowledge. Of the respondents, 435 (82.4) know the main clinical symptom of COVID-19, 47 (8.9%) believe that a person who has no symptoms of COVID-19 cannot transmit the disease to others and 185 (35%) of the study participants believe that a COVID-19 positive person can show no symptoms, 378 (71.6) of the participants are aware that not going to crowded places is one way of preventing COVID-19. This study also revealed that 481 (80.68%) of students are not aware that a person with no COVID-19 symptoms can transmit the virus to others and infect them (table 3).
Table 3. Knowledge of COVID-19 prevention measures among high school students in Assosa town, Northwest Ethiopia.
| Variable | Frequency | Per cent (%) | |
| Is the main clinical symptom of COVID-19 are fever, fatigue, dry cough and body aches? | |||
| Yes | 435 | 82.4 | |
| No | 93 | 17.6 | |
| A person infected with COVID-19 had a severe headache, stuffy nose, runny nose and sneezing | |||
| Yes | 320 | 60.61 | |
| No | 208 | 39.39 | |
| Currently, there is no effective cure for COVID-19 patients | |||
| Yes | 149 | 28.2 | |
| No | 379 | 71.8 | |
| Not all persons with COVID-19 develop into severe cases | |||
| Yes | 330 | 62.5 | |
| No | 198 | 37.5 | |
| A person with no COVID-19 symptoms can transmit COVID-19 to others and infect | |||
| Yes | 102 | 19.32 | |
| No | 481 | 80.68 | |
| COVID-19 virus spreads via respiratory droplets of infected individuals during coughing/sneezing | |||
| Yes | 287 | 54.4 | |
| No | 241 | 45.6 | |
| COVID-19 disease transmission can be prevented by avoiding going to crowded places and mass gathering events | |||
| Yes | 378 | 71.6 | |
| No | 150 | 28.4 | |
| Isolation and quarantine of people infected with COVID-19 virus can reduce the spread of the virus | |||
| Yes | 201 | 38.1 | |
| No | 327 | 61.9 | |
| People in contact with those infected with the COVID-19 virus should be immediately isolated and quarantined for 14 days | |||
| Yes | 372 | 70.45 | |
| No | 156 | 29.55 | |
| COVID-19 disease prevention is not touching the eye, nose or mouth with unwashed hands | |||
| Yes | 384 | 72.7 | |
| No | 144 | 27.3 | |
| Frequent handwashing with soap and water is a COVID-19 prevention measure | |||
| Yes | 294 | 55.7 | |
| No | 234 | 44.3 | |
| Anyone can be infected or can get infected with COVID-19 disease? | |||
| Yes | 436 | 82.6 | |
| No | 92 | 17.4 | |
| Have you heard about preventive measures taken by the government/health professionals | |||
| Yes | 476 | 90.2 | |
| No | 52 | 9.8 | |
| Do you know common COVID-19 transmission ways? | |||
| Yes | 340 | 64.39 | |
| No | 188 | 35.61 | |
| Do you know COVID-19 transmission preventive measures? | |||
| Yes | 190 | 35.98 | |
| No | 338 | 64.02 | |
| Which of the following practices can prevent COVID-19 transmission? | |||
| Regular handwashing with soap and water | Yes | 185 | 35.03 |
| No | 343 | 64.97 | |
| Use of hand sanitisers after touching material | Yes | 127 | 24.05 |
| No | 401 | 75.95 | |
| Wearing a face mask | Yes | 215 | 40.72 |
| No | 313 | 59.28 | |
| Keeping physical distance for about 2 feet (2 m) | Yes | 146 | 27.65 |
| No | 382 | 72.35 | |
Attitude towards COVID-19 prevention measures among high school students in Assosa town, Northwest Ethiopia
This study found that more than half of the study participants 328 (62.1%) had unfavourable attitudes. More than half 300 (56.8%) of the participants believe that COVID-19 disease is not preventable and 289 (54.7%) believe that COVID-19 disease is not curable. 309 (58.5%) of the students responded that they believe that COVID-19 disease is God’s punishment (table 4).
Table 4. Attitude towards COVID-19 prevention measures among high school students in Assosa town, Northwest Ethiopia.
| Variable | Frequency | Per cent (%) | |
| Do you agree/believe early recognition can improve treatment and recovery from COVID-19? | |||
| Yes | 299 | 56.6 | |
| No | 229 | 43.3 | |
| Do you believe COVID-19 is preventable? | |||
| Yes | 228 | 43.2 | |
| No | 300 | 56.8 | |
| Do you believe that health education can prevent the infection? | |||
| Yes | 172 | 32.6 | |
| No | 356 | 67.4 | |
| Do you believe COVID-19 can be prevented by the practice of preventive measures? | |||
| Yes | 244 | 46.2 | |
| No | 284 | 53.8 | |
| Do you believe COVID-19 patients should disclose their exposure? | |||
| Yes | 25 | 4.7 | |
| No | 503 | 91.3 | |
| When you meet your friends do you believe you will not be great with a handshake/hug? | |||
| Yes | 110 | 20.8 | |
| No | 418 | 79.2 | |
| Do you believe that COVID-19 is a curable disease? | |||
| Yes | 239 | 45.3 | |
| No | 289 | 54.7 | |
| Do you agree COVID-19 disease will not always lead to death? | |||
| Yes | 153 | 29 | |
| No | 375 | 71 | |
| If you become a contacted person, do you agree you will inform to health authorities? | |||
| Yes | 200 | 37.9 | |
| No | 328 | 62.1 | |
| Do you believe herbal and traditional medicine is not always effectively used to treat COVID-19? | |||
| Yes | 356 | 67.4 | |
| No | 172 | 32.6 | |
| Do you believe COVID-19 is God’s punishment? | |||
| YesNo | 309219 | 58.541.5 | |
| Student compliance with the preventive measures will reduce the spread of disease in the community. | |||
| YesNo | 314214 | 59.540.5 | |
| Do you believe authorities should close schools if cases increase? | |||
| YesNo | 62466 | 11.788.2 | |
| Do you believe healthy foods can increase body immunity? | |||
| Yes | 294 | 55.7 | |
| No | 234 | 44.3 | |
| Do you believe contacted people should immediately be quarantined? | |||
| Yes | 298 | 56.4 | |
| No | 230 | 43.6 | |
| Do you agree COVID-19 disease could be controlled by the effective practice of preventive measures? | |||
| Yes | 274 | 51.9 | |
| No | 254 | 48.1 | |
| Do you consider COVID-19 a threat to the whole community? | |||
| Yes | 82 | 15.5 | |
| No | 446 | 84.5 | |
| Do you believe an infected person can transmit COVID-19 to others without developing symptoms? | |||
| Yes | 86 | 16.3 | |
| No | 442 | 83.8 | |
| Do you believe travelling to crowded places can increase COVID-19 transmission? | |||
| Yes | 362 | 68.6 | |
| No | 166 | 31.4 | |
| Do you agree viruses can be transmitted from animals to humans and vice versa? | |||
| Yes | 120 | 22.73 | |
| No | 528 | 77.27 | |
| Do you believe that drinking local alcohol cannot prevent the risk of COVID-19? | |||
| Yes | 337 | 63.8 | |
| No | 191 | 36.2 | |
Risk perception related to COVID-19 among high school students in Assosa town, Northwest Ethiopia
This study revealed that the majority 390 (73.9%) of the students responded they had a low-risk perception of COVID-19 disease and the remaining students 138 (26.1) had a high-risk perception. 383 (72.5%) of the students responded getting sick with COVID-19 cannot result in a series of health problems and more than half 353 (66.9%) of the students responded that COVID-19 disease can not cause death (table 5).
Table 5. Risk perception related to COVID-19 among high school students in Assosa town, Northwest Ethiopia.
| Variable | Frequency | Per cent (%) | |
| Getting sick with COVID-19 can result series health problem | |||
| Yes | 145 | 27.5 | |
| No | 383 | 72.5 | |
| COVID-19 can cause death | |||
| Yes | 175 | 33.1 | |
| No | 353 | 66.9 | |
| COVID-19 can severely damage my health if I contract the disease | |||
| Yes | 412 | 78.03 | |
| No | 116 | 21.97 | |
| Have you ever perceived the dangerousness of COVID-19? | |||
| Yes | 333 | 72.6 | |
| No | 145 | 27.4 | |
| Have you ever worried about COVID-19 disease and your health? | |||
| Yes | 151 | 28.6 | |
| No | 377 | 71.4 | |
| Have ever perceived COVID-19 disease is highly contagious? | |||
| Yes | 230 | 43.56 | |
| No | 298 | 56.54 | |
| Do you feel you are at high risk of contracting COVID-19 infection? | |||
| Yes | 103 | 19.5 | |
| No | 425 | 80.5 | |
| Do you perceive that all people are equally at risk of contracting COVID-19 infection | |||
| Yes | 369 | 69.89 | |
| No | 159 | 30.11 | |
Preventive measure practice of high school students toward COVID-19
This study revealed that most (89.9%) of the high school students did not adhere to keeping physical distance of 2 m away. About 84.4% of the students had no regular handwashing practice. The majority (71.4%) of the students did not use facemasks/cover their face during coughing and more than half (62.9%) of the students had no face mask. More than half (54%) of the students did not use sanitiser or alcohol per recommendation (figure 2).
Figure 2. Variable used to measure the level of adherence status among high school students in Assosa town, Northwest Ethiopia.

Factors associated with adherence to COVID-19 prevention measures
Based on this study finding, male respondents had two times poorer adherence to COVID-19 prevention measures than females (AOR; 2.42, 95% CI: 1.46, 4.02). A student with an unfavourable attitude about COVID-19 viruses was four times less likely to adhere to the prevention measures of COVID-19 than their counterparts (AOR: 4.04, 95% CI: 2.45, 6.68). Students with less risk perception toward COVID-19 were about eight times poor adherence to COVID-19 prevention measures as compared with students who had a risk perception to ward against COVID-19 disease (AOR: 7.60, 95% CI: 4.62, 12.54) (table 6).
Table 6. Bivariate and multivariate logistic regression to determine factors associated with adherence towards COVID-19 prevention measures among high school students in Assosa town, Northwest Ethiopia.
| Variable | Good adherence | Poor adherence | COR (95% Cl) | AOR (95% Cl) | P value |
| Sex | |||||
| Female | 75 | 2.83 (1.82, 4.42) | 2.42 (1.46, 4.02) | 0.001* | |
| Male | 35 | 1 | |||
| Educational status of mothers | |||||
| No formal education | 23 | 141 | 0.51 (0.17, 0.88) | 0.22 (0.16, 1.10) | 0.72 |
| Formal education | 87 | 277 | 1 | ||
| Knowledge | |||||
| Poor knowledge | 28 | 155 | 0.57 (0.13, 0.87) | 0.70 (0.59, 2.84) | 0.56 |
| Good knowledge | 82 | 263 | 1 | ||
| Attitude | |||||
| Favourable | 72 | 4.29 (2.72, 6.70) | 4.04 (2.45, 6.68) | 0.0001† | |
| Unfavourable | 38 | 1 | |||
| Risk perception | |||||
| Yes | 40 | 350 | 9.00 (5.65, 14.37) | 7.60 (4.62, 12.54) | 0.0001† |
| No | 70 | 68 | 1 | ||
Significant at less than a p value of 0.05.
Strongly significant. 1.00: consider as reference category.
AORadjusted ORCORcrude OR
Discussion
This study determined the level of adherence and factors associated with COVID-19 preventive measures among high school students in Northwest Ethiopia. This study found that the overall adherence level of high school students toward COVID-19 prevention measures was 110 (20.8%, 95% CI: 17.4%, 24.6%) whereas the rest (79.2%) had poor adherence. This study revealed that the majority of students had poor adherence to the COVID-19 preventive measure 418 (79.2%; 95% CI: 75.4%, 82.6%). The overall knowledge score of the study participants was 65.3%. The majority of the students, 390 (73.9%), responded they had a low-risk perception of COVID-19 disease. This study revealed that sex, attitude toward COVID-19 and risk perception of COVID-19 were significantly associated with adherence status toward COVID-19 prevention measures.
This study revealed that the adherence status of students was about 20.8% (95% CI: 17.4%, 24.6%) which agreed with a study done in Shashamane, Central Ethiopia, of 19.5%.10 This study found that adherence to COVID-19 was lower than a study done in North Shoa Zone, Ethiopia (44.1%),27 Gondar (50.01%)20 and Gondar city residents (51.04%).20 The possible explanation for this discrepancy would be poor rules and regulations to punish any student for not applying the prevention measure, which may be due to differences in study settings and participants. The other possible reason was a socio-demographic difference in the population. This study finding revealed that the adherence status of students was higher than the study finding in Dirashe District, Southern Ethiopia (12.3%)8 and Jimma town, Southwest Ethiopia (14.7%). This is probably due to the study participant’s differences, means of data collection, measurement tools and cut-off points used to categorise good/poor practice.
The overall knowledge score of the study participants was 65.3%. This finding is in agreement with previous studies in Dirashe district, Southern Ethiopia (63.51%),28 college students in the Amhara region (69.6%),26 Nigeria (61.6%)29 and Iran (63%).30 This study finding was higher than a study done on university students in Arbaminch University (25%),31 Jimma Ethiopia (41.3%),32 secondary school Gonder (52.2%)20 and university students in Sudan (58.8%).33 The discrepancy could be due to differences in cut-values used to categorise the knowledge levels, sample size and sociocultural variables between study settings. In addition, students may have more information access than the residents of the community. However, this study result was lower than the study conducted in Egypt (94%),34 China (90%)35 and Malaysia (80.5%).36 The possible reason could be due to different students’ levels of education and their level of exposure to information. In addition, the discrepancies might be due to differences level of awareness creation activities, and access to channels of information dissemination in study settings.
This study showed that 200 (37.9%) students had a favourable attitude toward COVID-19. However, this study finding was higher than the study finding in the Oromia regional state of Ethiopia (32.2%).21 The difference could be the socio-demographic status of the population. Because this study was done on students who could be different from the general population. However, this study finding was lower than a study done on college students in Amhara (45.4%),20 Indian medical students (93.7%), Sudan (81.8%), Uganda (72.4%) and Pakistan (44%). This difference could be students in this study were high school students who had a lower level of education status than college students. The discrepancy could be due to differences in cut-values to measure the level of attitude. In addition, the discrepancies might be due to differences in the sociodemography of study participants.
This study found that sex was one of the determinant of adherence to recommended COVID-19 prevention measures. According to the current finding male students were about two times less likely adherence to COVID-19 prevention measures than females (AOR; 2.42, 95% CI: 1.46, 4.02). This finding is in line with studies conducted in Gonder City, Ethiopia,20 Switzerland37 and the USA.38 The possible justification might be that the majority of male students spent outside their homes after school, and may have moved from one place to another for play. The other explanation was a culture where females are restricted to home activities so it indirectly enforce to keep physical distance and avoiding mass gathering.
Students with a favourable attitude had about four times as good adherence to COVID-19 prevention measures as compared with students with an unfavourable attitude toward COVID-19 (AOR; 4.04: 95% CI: 2.45, 6.68). This is supported by a study done in Shashamane, Central Ethiopia,10 Dirashe District, Southern Ethiopia (54.5%)28 and South Korea.39 This discrepancy could be a positive attitude to encourage students to adopt prevention measures and practice new behaviours than their counterparts. The other possible explanation could be due to students with negative attitudes believe that young people are not at risk of COVID-19.
This study revealed that those respondents who had a perceived risk of COVID-19 were about eight times more adhere to the prevention measure than their counterparts (AOR=7.60, 95% CI: 4.62, 12.54). This finding is consistent with a study done in Shashamane, Central Ethiopia.10 This can be explained by the direct association between fearing the disease and adhering more because as a result of their fear they become more careful in their activities regarding the pandemic.
Study limitations and strengths
First, this is a cross-sectional analysis, the temporal significance of the results may be a shift from other advanced study designs. To the best of our knowledge, there have been no similar published studies in Ethiopia and there was a limitation to discussing and comparing the findings of this study. However, this study has a privilege compared with other studies as it was conducted where lack of timely information about students regarding COVID-19 prevention is, especially in low-income countries like Ethiopia, despite they are the most potential to spread the disease into the community and therefore, it will be able to generate information about adherence and factors of practice among students that finally helps to intervene against potential factors that hinder adherence as learning continues.
Conclusions
This study revealed that the overall level of adherence status to COVID-19 preventive measures among high school students in Assosa town, Northwest Ethiopia, was low. The adherence level of high school students to COVID-19 preventive measures was 110 (20.8%). The overall knowledge score of the study participants was toward COVID-19 prevention measures 65.3% which demands further community awareness.
This study revealed that sex, attitude toward COVID-19 and risk perception of COVID-19 were significantly associated with adherence status toward COVID-19 prevention measures. This indicates that it needs further public health intervention and imposing rules that are mandatory for students to adhere to and mitigation measures to reduce the spread of diseases. This finding recommends awareness and risk communication to build an appropriate level of knowledge, attitude and risk perception to reduce the spread of the disease. This study finding may recommend policymakers to the urgent need for a health education campaign targeting school students’ emphasis on behavioural change through improving their attitude and knowledge. Sustainable COVID-19 prevention and control intervention should include school students through effective risk communication to emphasise on key recommended preventive measures.
supplementary material
Acknowledgements
We would like to express our gratitude to Assosa University for providing us necessary material and organising for conducting this research. We also extend our thanks to all high school teachers and staff who helped us to conduct this research. We also express our thanks to the study participants who gave us valuable information and their kind cooperation.
Footnotes
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Provenance and peer review: Not commissioned; externally peer reviewed.
Patient consent for publication: Not applicable.
Ethics approval: This study is approved by the Ethical Review Board of Assosa University and the College of Health Science (ASU/IRB/017/21). The data collectors explained the aim of the study and the data collection procedures to the students and teachers and asked them if they wanted to participate in the study. Finally, confidentiality was ascertained by the anonymisation of the data, and personal data were not disclosed beyond the data collectors or supervisors without the full consent of the study participant.
Data availability free text: The data sets used and/or analysed during the current study are available from the corresponding author upon reasonable request.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Contributor Information
Habtamu Tadesse Gudeta, Email: oliyadtadesse123@gmail.com.
Yordanos Jemberu, Email: yoyojemberu@gmail.com.
Shelema Likassa Nagari, Email: yadawak24@gmail.com.
Data availability statement
Data are available upon reasonable request.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data are available upon reasonable request.
