The Nigerian youth and their positive attitude towards the national drive against the spread of COVID-19: A cross-sectional online survey
Boluwaji Jaiyesimi, Toba Bamitale, Babajide Diyaolu, Kolawole Alabi, Saadullah Khattak, Pathiyil Ravi Shankar
TL;DR
This study shows Nigerian youth have a positive attitude and good knowledge about preventing the spread of COVID-19, with public health campaigns being effective.
Contribution
The study provides new insights into the attitudes and practices of Nigerian adolescents toward COVID-19 prevention.
Findings
Students from families with 5-10 members showed better knowledge of COVID-19.
Females were more likely to report suspected cases and practice social distancing.
Most participants demonstrated high knowledge about COVID-19 prevention.
Abstract
Background: The global impact of coronavirus disease 2019 (COVID-19)has led to the need to prioritise public health campaign by all stakeholders among diverse population groups. This study investigated the dispositions of Nigerian adolescents towards the prevention of the spread of COVID-19. Methods: The young adolescents (n=1,529) included in this study, were between the ages of 15 and 26 years from Afe Babalola University. Students were contacted through their various colleges and residential hostels to complete the questionnaire via a shared link. All students included, voluntarily participated in this cross-sectional study by completing the adapted COVID-19 knowledge, attitude and practice (KAP) questionnaire. The collected data were analysed to show the level of knowledge, attitude and preventative practices and also to test for significant association between gender and variables…
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| Variables | Frequency(%) |
|---|---|
| Gender | |
| Female | 903(59.1) |
| Male | 626(40.9) |
| Age | |
| 15-17 | 1181(77.2) |
| 18-20 | 323(21.1) |
| 21-23 | 20(1.3) |
| 24-26 | 5(0.3) |
| Perceived family social status | |
| Upper | 248(16.2) |
| Middle | 1211(79.2) |
| Lower | 70(4.6) |
| Region of residence | |
| South | 1081(70.7) |
| North | 448(29.3) |
| Number of family members | |
| Less than 5 | 260(17) |
| 5-10 | 1167(76.3) |
| Greater than 10 | 102(6.7) |
| Type of residence | |
| Large cities | 798(52.2) |
| Mid-level cities | 629(41.1) |
| Small cities | 102(6.7) |
| Family status | |
| Nuclear | 1330(87) |
| Extended | 77(11.6) |
| Joint | 22(1.4) |
| Variables | Total (Number=1529) |
|---|---|
| In what ways does COVID-19 spread? | |
| Coughing directly transmits the virus | 444(29) |
| Contact with contaminated surfaces | 233(15.2) |
| Having close contact with someone who is infected | 828(54.2) |
| Don’t know | 24(1.6) |
|
| |
| 2–5 days | 102(6.7) |
| 2–14 days | 1378(90.1) |
| Don’t know | 49(3.2) |
|
| |
| Fever, cough, shortness of breath | 1511(98.8) |
| Sore throat, blocked nose | 8(0.5) |
| Headache | 2(0.1) |
| Diarrheal | 2(0.1) |
| Don’t know | 6(0.4) |
|
| |
| Aged persons | 886(57.9) |
| Pregnant mothers | 10(0.7) |
| Children | 30(2) |
| Individuals with chronic diseases | 497(32.5) |
| People from COVID-19 infected regions | 79(5.2) |
| Don’t know | 27(1.8) |
|
| |
| Medical care | 516(33.7) |
| Vaccine | 960(62.8) |
| Don’t know | 53(3.5) |
|
| |
| Handwashing | 333(21.8) |
| No dirty contact with eyes and nose | 101(6.6) |
| No contact with persons infected with COVID-19 | 139(9.1) |
| Wearing nose mask | 237(15.5) |
| Keeping 1m or more of social distance | 524(34.3) |
| Self-quarantine | 71(4.6) |
| Taking all family members in home quarantine | 13(0.9) |
| Adequate provision of healthcare facilities and supplies | 32(2.1) |
| Raising awareness against COVID-19 | 79(5.2) |
|
| |
| Restriction on the number of guests at home per time | 574(37.5) |
| Handwashing equipment at the entrance of the house | 903(59.1) |
| Handwashing after touching pets | 52(3.4) |
|
| |
| Negligence towards the COVID-19 preventive practices | 137(9) |
| Unwilling to wear the nose or face mask | 316(20.7) |
| Not being able to stop going out of the house | 316(20.7) |
| Don't face the problem | 760(49.7) |
| Variables | Total (N=1529) | Female | Male | χ 2 | df | p-value |
|---|---|---|---|---|---|---|
| Frequency(%) | Frequency(%) | Frequency(%) | ||||
| Do you know that COVID-19 is a life-threatening disease? | ||||||
| Yes | 1492(97.6) | 881(59) | 611(41) | .115 | 2 | 0.940 |
| No | 26(1.7) | 15(57.7) | 11(42.3) | |||
| Don't know | 11(0.7) | 7(63.6) | 4(36.4) | |||
| Do you know that COVID-19 can only affect human beings? | ||||||
| Yes | 653(42.7) | 367(56.2) | 286(43.8) | 3.986 | 2 | 0.140 |
| No | 714(46.7) | 439(61.5) | 275(38.5) | |||
| Don't know | 162(10.6) | 97(59.9) | 65(40.1) | |||
| Do you know that an animal can be infected by a human being? | ||||||
| Yes | 534(34.9) | 306(57.3) | 228(42.7) | 1.147 | 2 | 0.560 |
| No | 621(40.6) | 375(60.4) | 246(39.6) | |||
| Don't know | 374(24.5) | 222(59.4) | 152(40.6) | |||
| Do you know that a human being can be infected by animal? | ||||||
| Yes | 790(51.7) | 460(58.2) | 330(41.8) | .883 | 2 | 0.640 |
| No | 440(28.8) | 268(60.9) | 172(39.1) | |||
| Don't know | 299(19.6) | 175(58.5) | 124(41.5) | |||
| Can COVID-19 spread through contact or consumption of animal products? | ||||||
| Yes | 481(31.5) | 273(56.8) | 208(43.2) | 3.816 | 2 | 0.150 |
| No | 688(45) | 425(61.8) | 263(38.2) | |||
| Don't know | 360(23.5) | 205(56.9) | 155(43.1) | |||
| Can COVID-19 spread through contact or consumption of well-cooked food? | ||||||
| Yes | 88(5.8) | 53(60.2) | 35(39.8) | 3.720 | 2 | 0.160 |
| No | 1235(80.8) | 741(60) | 494(40) | |||
| Don't know | 206(13.5) | 109(52.9) | 97(47.1) | |||
| Variables | Total (N=1529) | Female | Male | χ 2 | df | p-value |
|---|---|---|---|---|---|---|
| Frequency(%) | Frequency(%) | Frequency(%) | ||||
| A suspected COVID-19 case should be reported immediately | ||||||
| Agree | 1462(95.6) | 858(58.7) | 604(41.3) | 14.075 | 2 | 0.001
|
| Undecided | 25(1.6) | 10(40) | 15(60) | |||
| Disagree | 42(2.7) | 35(83.3) | 7(16.7) | |||
| Face or nose mask should be used in public spaces | ||||||
| Agree | 1516(99.1) | 895(59) | 621(41) | 3.699 | 2 | 0.157 |
| Undecided | 6(0.4) | 2(33.3) | 4(66.7) | |||
| Disagree | 7(0.5) | 6(85.7) | 1(14.3) | |||
| Handwashing should be practice at all times especially in public spaces | ||||||
| Agree | 1505(98.4) | 890(59.1) | 615(40.9) | 2.903 | 2 | 0.234 |
| Undecided | 11(0.7) | 4(36.4) | 7(63.6) | |||
| Disagree | 13(0.9) | 9(69.2) | 4(30.8) | |||
| COVID-19 is a preventable disease | ||||||
| Agree | 1423(93.1) | 835(58.7) | 588(41.3) | 4.279 | 2 | 0.118 |
| Undecided | 85(5.6) | 51(60) | 34(40) | |||
| Disagree | 21(1.4) | 17(81) | 4(19) | |||
| It can be treated at home | ||||||
| Agree | 440(28.8) | 261(59.3) | 179(40.7) | .095 | 2 | 0.954 |
| Undecided | 319(20.9) | 186(58.3) | 133(41.7) | |||
| Disagree | 770(50.4) | 456(59.2) | 314(40.8) | |||
| Health education can play an important role in COVID-19 prevention | ||||||
| Agree | 1517(99.2) | 898(59.2) | 619(40.8) | 1.582 | 2 | 0.453 |
| Undecided | 10(0.7) | 4(40) | 6(60) | |||
| Disagree | 2(0.1) | 1(50) | 1(50) | |||
| Variables | Total (N=1529) | Female | Male | χ 2 | df | p-value |
|---|---|---|---|---|---|---|
| n(%) | n(%) | n(%) | ||||
| Do you use tissues or handkerchief during coughing/sneezing? | ||||||
| Yes | 948(62) | 580(61.2) | 368(38.8) | 7.993 | 2 | 0.018
|
| No | 122(8) | 59(48.4) | 63(51.6) | |||
| Sometimes | 459(30) | 264(57.5) | 195(42.5) | |||
| Do you wash hands frequently using water and soaps? | ||||||
| Yes | 1137(74.4) | 698(61.4) | 439(38.6) | 16.895 | 2 | 0.000
|
| No | 64(4.2) | 24(37.5) | 40(62.5) | |||
| Sometimes | 328(21.5) | 181(55.2) | 147(44.8) | |||
| Do you avoid touching face and eyes? | ||||||
| Yes | 896(58.6) | 543(60.6) | 353(39.4) | 4.043 | 2 | 0.132 |
| No | 168(11) | 88(52.4) | 80(47.6) | |||
| Sometimes | 465(30.4) | 272(58.5) | 193(41.5) | |||
| Do you maintain social distance (or home quarantine)? | ||||||
| Yes | 1074(70.2) | 636(59.2) | 438(40.8) | 8.904 | 2 | 0.012
|
| No | 106(6.9) | 49(46.2) | 57(53.8) | |||
| Sometimes | 349(22.8) | 218(62.5) | 131(37.5) | |||
| Do you eat healthy food focusing on outbreak? | ||||||
| Yes | 1129(73.8) | 648(57.4) | 481(42.6) | 4.949 | 2 | 0.084 |
| No | 139(9.1) | 88(63.3) | 51(36.7) | |||
| Sometimes | 261(17.1) | 167(64) | 94(36) | |||
| Do you maintain a healthy lifestyle focusing on outbreak? | ||||||
| Yes | 1155(75.5) | 677(58.6) | 478(41.4) | .394 | 2 | 0.821 |
| No | 100(6.5) | 60(60) | 40(40) | |||
| Sometimes | 274(17.9) | 166(60.6) | 108(39.4) | |||
| Do you obey all government rules related to the COVID? | ||||||
| Yes | 1075(70.3) | 639(59.4) | 436(40.6) | 10.260 | 2 | 0.006
|
| No | 86(5.6) | 37(43) | 49(57) | |||
| Sometimes | 368(24.1) | 227(61.7) | 141(38.3) | |||
| Variables | Knowledge | χ 2 | P-value | Attitude | χ 2 | P-value | Practice | χ 2 | P-value | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Less accurate | More accurate | Less positive | More positive | Less frequent | More frequent | |||||||
| Frequency (%) | Frequency (%) | Frequency (%) | Frequency (%) | Frequency (%) | Frequency (%) | |||||||
| Gender | ||||||||||||
| Female | 710(59.4) | 193(57.8) | .287 | 0.592 | 502(59.7) | 401(58.3) | .309 | 0.578 | 483(57.8) | 420(60.5) | 1.121 | 0.290 |
| Male | 485(40.6) | 141(42.2) | 339(40.3) | 287(41.7) | 352(42.2) | 274(39.5) | ||||||
| Type of residence | ||||||||||||
| Metropolitan cities | 620(51.9) | 178(53.3) | 1.725 | 0.422 | 405(48.2) | 393(57.1) | 12.191 | 0.002
| 416(49.8) | 382(55) | 4.242 | 0.120 |
| Mid-level cities | 490(41) | 139(41.6) | 375(44.6) | 254(36.9) | 362(43.4) | 267(38.5) | ||||||
| Small cities | 85(7.1) | 17(5.1) | 61(7.3) | 41(6) | 57(6.8) | 45(6.5) | ||||||
| Number of family members class | ||||||||||||
| Less than 5 | 218(18.2) | 42(12.6) | 6.077 | 0.044
| 131(15.6) | 129(18.8) | 3.748 | 0.154 | 157(18.8) | 103(14.8) | 4.483 | 0.106 |
| 5-10 | 897(75.1) | 270(80.8) | 648(77.1) | 519(75.4) | 621(74.4) | 546(78.7) | ||||||
| Greater than 10 | 80(6.7) | 22(6.6) | 62(7.4) | 40(5.8) | 57(6.8) | 45(6.5) | ||||||
| Family social class | ||||||||||||
| Upper | 185(15.5) | 63(18.9) | 2.322 | 0.313 | 144(17.1) | 104(15.1) | 1.121 | 0.571 | 115(13.8) | 133(19.2) | 8.115 | 0.017
|
| Middle | 956(80) | 255(76.3) | 659(78.4) | 552(80.2) | 681(81.6) | 530(76.4) | ||||||
| Lower | 54(4.5) | 16(4.8) | 38(4.5) | 32(4.7) | 39(4.7) | 31(4.5) | ||||||
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Taxonomy
TopicsCOVID-19 and Mental Health · Misinformation and Its Impacts · COVID-19 epidemiological studies
Introduction
Coronavirus disease 2019 (COVID-19) has evolved into a major global public health concern ( Habib et al., 2021). Since the 31st of December 2019, there has been over 209 million cases of COVID-19 reported worldwide, including a death toll of over 4.2 million in 220 countries ( European Centre for Disease Prevention and Control, 2021). The pandemic has had devastating effects on both public health and societal life ( Rahman & Sathi, 2020; Cori et al., 2020; Parikh et al., 2020). In Africa, about 7,043,648 cases have been reported, with Nigeria accounting for over 183,000 cases and over 2000 in deaths ( Worldometer, 2021). In order to curtail the spread of the virus, the government raised public awareness on preventative health practices, enforced closure of volatile public and private facilities, enforced small-sized gathering with adequate spacing in public spaces, enforced stay at home order in flag point areas and inter and intra-border mobility to put national population statistics under check ( Egbi et al., 2020). Aronu et al. (2021) in a cross-sectional study on COVID-19 knowledge and preventive practices among college adolescents in Nigeria, reported that the study participants had a low compliance rate with the enforcements. Many of the young adolescents acknowledged that only the aged and patients with comorbidity are at the high-risk end of COVID-19 mortality. In a study that was conducted in Ethiopia by Kebede et al. (2020), they identified that adolescents were less likely to practice preventive measures, and in turn, such behaviours would pose more problems in the preventive processes for COVID-19. Kebede et al. (2020b) in another study also stated that the transmission rate of the disease has increased rapidly. In spite of the available vaccines against the virus, the emergence of new strains and variants of the virus continues to pose global health challenges. According to Bates et al. (2021) preventive measures must be adopted to curb the spread of COVID-19. However, it is also important to note that only sufficient knowledge can prompt behavioural changes needed to curb the spread of the COVID-19 ( Van Nhu et al., 2020; Belete et al., 2021). This is especially true in respect to the knowledge, attitude and practice towards the prevention of COVID-19 among the youths ( Umeizudike et al., 2021). However, the effects of reported knowledge have not been seen in the attitude and safety practices of some of the youths in South-West Nigeria. Several studies have shown satisfactory levels of knowledge but all these studies are among the adult population ( Kebede et al., 2020b; Abdelhafiz et al., 2020; Centers for Disease Control and Prevention, 2021). Several studies also reported, that those with medical-related occupations were more likely to have better knowledge that would also spill into an appropriate preventive attitude and practice ( Noreen et al., 2020; Shi et al., 2020). Some studies also considered the limited facts about adherence to the practice of preventive measures of Covid-19 ( Alzoubi et al., 2020; Nazli et al., 2020; Rahman & Sathi, 2020; Kebede et al., 2020a, 2020b; Feyisa, 2021). Another study noted that people with underlying health conditions generally felt the need to take greater preventive approach and attitude towards the virus ( Adesegun et al., 2020; Belete et al., 2021). Therefore, this study was set to find out the knowledge, attitude and preventive practices of Nigerian adolescents towards curbing the spread of Covid-19.
Methods
Participation and procedure
A cross-sectional online survey was anonymously administered online for the young adolescents between the ages of 15 and 26 years who are undergraduates of Afe Babalola University. Afe Babalola University is a private university located in the South-Western region of Nigeria. The institution has almost 8,000 undergraduate students at the time this study was conducted. Only the Afe Babalola University undergraduate students who were healthy, mentally stable and fully residential on campus were eligible to participate in the study. Postgraduates students were excluded from the study. Students were contacted in their various colleges and undergraduate residential hostels to complete the questionnaire ( Jaiyesimi et al., 2022b) via a shared link. The links were pasted on the commonly used social media platforms (WhatsApp and Telegram). Students were also encouraged to share the links with each other. A convenience sampling techniques was adopted for the study ( Jiang et al., 2021). The sample size was calculated using EPI-info v.7. (EpiData Software) (RRID:SCR_008485). The assumption was set at 50% expected frequency, 95% confidence level, 5% acceptance margin of error, 4.0 design effect with 8000 estimated population size. The final adequate sample for the study was calculated to be 1468 students.
The study was carried out from March 23 - April 25, 2021 when the undergraduate students of Afe Bablola Univeristy were back to school. The COVID-19 knowledge, attitude and practice (KAP) questionnaire was adapted from the study of Ferdous et al. (2020). Their study focused on the young adolescents and adults while this study focused on the young adolescents. The questionnaire was administered online to avoid physical contact and to reach more respondents. The questionnaire was designed with Google forms (Google Inc, 2022) and the link was shared via social media platform (WhatsApp and Telegram). A total of 1,529 respondents completed the questionnaire in proportion of 626 male (40.9%) and 903 females (59.1%).
Measures
The validated modified COVID-19 KAP questionnaire ( Elbur et al., 2016; Medani et al., 2018; Al-Hanawi et al., 2020; Ferdous et al., 2020) was tested with Cronbach Alpha for reliability (α = .66) excluding the demographic variables. SPSS software version 25 (IBM corp, 2017) (RRID:SCR_016479) was used to calculate the reliability. Age, gender, family social class, type of residence, region of residence, number of family members, and family status were the demographic variables added to the COVID-19 KAP questionnaire for the purpose of the study considering the selected population. Gender (male and female) and region of residence (south and north) had two sub-categories, while family social class (upper, middle and lower), number of family members (less than 5, 5-10, greater than 10), types of residence (large cities, mid-level cities and small cities) and family status (nuclear, extended and joint) had three sub-categories. Only age had four sub-categories (15-17, 18-20, 21-23 and 24-26 years). Under the KAP section, the subsections for knowledge and attitude comprised six questions each, while the practice section comprised seven questions. No item was removed from the original survey but it was modified (in terms of the grammatical composition of the items) for the purpose of the study.
The knowledge of COVID-19 sub-section had six items on a three-point rating scale (YES, NO and I DON’T KNOW). Each item was assigned a score to rate the response of the respondents (YES = 1, NO = 0, I DON’T KNOW = 0). The maximum summation of all scores on the sub-scale equals six. A cut-off score <4 means LESS ACCURATE, while a cut-off score ≥4 means MORE ACCURATE knowledge on the sub-scale of six. The attitude sub-section three-point rating scale included AGREE, UNDECIDED and DISAGREE with scores assigned respectively (1,0,0). The maximum summation of all scores on the sub-scale equals six. A cut-off score <4 means LESS POSITIVE, while a cut-off score ≥4 means MORE POSITIVE on the sub-scale of six. The practice sub-section also has three-point rating scale (YES = 1, NO = 0, SOMETIMES = 0). The maximum summation of all scores on the sub-scale equals seven. A cut-off score <5 means LESS FREQUENT, while a cut-off score ≥5 means MORE FREQUENT practice on the sub-scale of seven. These cut-off scores were determined to according to a previous study on COVID-19 ( Ferdous et al., 2022).
Statistical analysis
The obtained responses from the Google form were downloaded via the google sheet into the Microsoft Excel (Microsoft, USA, 2019) (RRID:SCR_016137) for data cleaning. Incomplete responses with valid missing values were excluded from the datasheet. The descriptive statistics of frequency counts and percentages were computed for the variables used in the study while chi-square cross-tabulation were computed to test the significant association between the demographic variables and the COVID-19 KAP. SPSS (RRID:SCR_002865) was used to calculate the reliability and chi-square cross-tabulation for the study.
Results
A total of 1,529 respondents with the age ranges from 15–26 years voluntarily participated in the study ( Jaiyesimi et al., 2022a). Most of the respondents (76.6%) fall within the category of 15–17 years. More females were involved in the study (59.1%) than male (40.9%). Most of the respondents were from nuclear (87%) and perceived middle-class family social status (79.2%), with a range of 5–10 family members (76.3%), lived in metropolitan cities (52.2%) within southern region of Nigeria (70.7%) ( Table 1).
Perception towards COVID-19 mode of transmission, symptoms, risk factors, treatments, preventive measures, and challenges
As shown in Table 2, more than half of the respondents (54.2%) identified that COVID-19 could easily spread through close contact with an infected person, while less than 2% claimed ignorance of the mode of transmission of the viral infection. Most of the respondents (90.1%) acknowledged that the incubation period of the virus is within 2-14 days. Almost all the respondents (98.8%) identified fever, dry cough and difficult breathing as the symptoms of the viral infection. More than half of the respondents reported that the population group at most risk of the virus is the elderly (57.9%) followed by the individuals with chronic conditions such as cancer, diabetes, respiratory infections and so on. Pregnant women (0.6%), children (2%), migrants (5.2%) were not considered as major risk groups by most of the participants. Most of the respondents reported that vaccination (62.8%) and supportive treatment (33.7%) are methods of treating COVID-19. Most of the respondents identified social distancing (34.3%), washing of hands (21.8%) and use of nose or face mask (15.5%) as the most effective COVID-19 preventive measures. More than half of the respondents recognized home-based handwashing with soap (59.1%) and restrictions of visitors (37.5%) as effective measures to protect the family against the spread. Almost 50% of the respondents reported no problem in creating awareness against the spread, however, 20.7% could not limit outdoor life and preferred not to use a protective face mask.
Knowledge of COVID-19
As shown in Table 3, no items under the knowledge of COVID-19 had significant association based on gender distribution. Only participants with a family of 5–10 members showed significant association with knowledge accuracy on COVID-19 (χ ^2^ = 6.077, p = 0.044). Furthermore, those in this group had 80.8% more accurate knowledge of COVID-19 than respondents from other family categories (see Table 5). The respondents from metropolitan cities reported the highest percentage of accurate knowledge (53.3%), followed by mid-level cities (41.6%) and the small cities’ respondents had the least response (5.1%). Moreover, those who are from the middle family social class reported more accurate knowledge (76.3%) than others in the upper (18.9%) and lower class (4.8%) (see Table 6).
Attitude towards COVID-19
According to Table 4, there was a significant association between gender and the need to report the suspected case of COVID-19 infection to the health authorities (χ ^2^ = 14.075, p = 0.001). Females (58.7%) are more likely to report a suspected case of COVID-19 than their male counterparts (41.3%).
Other items on the scale were not significantly associated with gender, even though females (58.3%) showed more positive attitude than male (41.7%) (see Table 6). The respondents from the metropolitan cities had more significant positive attitude (χ ^2^ = 12.191, p = 0.002, 57.1%), than other city-dwellers (mid-level = 36.9% and small cities = 6%) (see Table 6).
Practice of COVID-19 preventive measures
Items relating to the practice of COVID-19 preventive measures based on gender distribution are presented in Table 5. The question related to the use of handkerchief during coughing/sneezing had a significant association based on gender distribution (χ ^2^ = 7.993, p = 0.018) with higher compliance from female participants (61.2%). Frequent washing of hands to curb the spread was significantly (χ ^2^ = 16.895, p = 0.000) more common in female (61.4%) than male respondents (38.6%). Significantly more females (59.2%) were (χ ^2^ = 8.904, p = 0.012) involved in the practice of social distancing or home quarantine as a preventive measure than male respondents (40.8%). In following all the government rules concerning the prevention of COVID-19, majority of the females (59.4%) were significantly (χ ^2^ = 10.260, p = 0.006) more compliant with the rules (see Table 5) than male respondents (40.6%). The cross-tabulation for demographic variables (see Table 6) showed that the participants from middle class family were significantly more involved in the preventive measures (76.4%, χ ^2^ = 8.115, p = 0.017) than other family classes (upper (19.2%) and lower (4.5%)).
Discussion
This research was carried out among Nigerian educated youth in order to find out their perception towards COVID-19 mode of transmission, symptoms, risk factors, treatments, preventive measures, and challenges. The study examined the knowledge, attitude, and practice towards COVID-19 and their association with the selected sociodemographic variables of the respondents.
In the perception domain, the participants showed good knowledge about the mode of transmission of the virus as well as the incubation period. This finding was similar to a study carried out by Peng et al. (2020) among undergraduates in China, who also demonstrated good knowledge of mode of transmission and incubation period of COVID-19 infection. However, this finding was in contrast with a similar study done in Congo, where respondents demonstrated poor knowledge of COVID-19 mode of transmission ( Carsi Kuhangana et al., 2020). The difference in socio-economic and educational level could explain this disparity as the latter was conducted among sellers and customers frequenting some big public markets in Congo, who are expected to be a mixed population unlike the present study where the respondents were entirely young students. The majority of the respondents were familiar with the symptoms of COVID-19 and also reported the elderly as the most vulnerable group, followed by individuals with co-morbid medical conditions. This finding was similar to a study conducted in Jimma town, Ethiopia, where larger percentage of the participant were aware of the key clinical symptoms and the groups at high risk of developing a severe form of the disease ( Kebede et al., 2020b). The similarity in findings could be as a result of the efforts of the health and educational agency of the government and access to information from social (WhatsApp and Telegram) and broadcast media (television and radio) by the study participants as reported in the current study.
Most of the respondents identified that vaccination, followed by supportive treatment have important roles to play in the management of COVID-19 disease. This was in marked contrast to the findings of ( Ferdous et al., 2020) where only 1% of the participant reported vaccination as having a role in the prevention of COVID-19 infection. This disparity could be due to the fact that vaccine development was still at a rudimentary stage around the end of first quarter of 2020 when the study was conducted. However, in a similar study conducted around the same time, Srichan et al. (2020) found that 31.2% were aware of the vaccine as a potential option. Most of the respondents recognized home-based handwashing with soap and water, followed by restriction of visitors as measures to protect the family against COVID-19 virus; they also identified social distancing and use of face masks as preventive measures. These findings agree with that of many other studies which reported good perception of hand hygiene, social distancing, wearing face mask and avoiding crowded areas ( Akalu et al., 2020; Asmelash et al., 2020; Kassie et al., 2020; Tamire et al., 2020). However, in an earlier study, Ferdous, et al. (2020) reported that most of the respondents indicated negligence about the severity of the disease, reluctance to use face mask and not being able to control going out of the house. Understandably, this study was conducted immediately after lockdown was instituted in the study area and the populace could still be struggling with the physical, social and emotional barriers and limitations posed by the lockdown.
The respondents reportedly have sufficient knowledge of the virus because of exposure to the media and internet, coupled with some health-related courses in the university that focused mainly on trending public health issues. A similar result was carried out by Salman et al. (2020) among Pakistani University students in May 2020. The study found out that the students had sufficient knowledge and a positive attitude towards COVID-19. They are knowledgeable of the causative agent, incubation period, the spread, and preventive measures ( Salman et al., 2020). The depth of the knowledge can also be associated with the fact that the respondents in their study and the current study were students. According to the current study, knowledge of COVID-19 could be a possible determinants of respondents' attitude and practice towards the disease. This is unlike the study that was carried out by Bhagavathula et al. (2020), where it was discovered that the students had insufficient knowledge about the virus although they had a positive attitude towards the prevention of the spread of the virus.
A positive attitude was also exhibited by the majority of our respondents, they indicated that they were willing to adhere to the various measures put in place by various units or groups to curb the spread of the infection. A notable measure is their responsibility towards the University Hospital isolation centre, students have continued to be very observant and helpful in assisting the University to report any suspected cases to the isolation centre for clinical testing. A similar positive attitude was observed in researches carried out in Malaysia and China ( Azlan et al., 2020; Zhong et al., 2020). Positive attitude towards hand hygiene, social distancing, use of face masks and avoiding crowded area prevented the spread of the virus ( Umeizudike et al., 2021). Most of the respondents (70.3%) in this study reported that they adhere to the Government rules on the prevention of COVID-19 (see Table 5). In the current study, participants from middle-class families were more engaged in preventive practices than other categories of family social status (upper and lower). Due to the homogeneity of the selected sample (students of the same university) and the selected age category, the study cannot be generalised for the entire population.
Conclusions
This study showed evidence of high prevalence of knowledge related to COVID-19 in majority of the study participants. A significant proportion of the respondents understood the basic information, possessed positive attitude and demonstrated proactive practices towards COVID-19 infection. This is a pointer to the efficacy and success of present public health campaigns. However, male respondents showed poorer COVID-19 preventive practices compared to their female counterpart, and respondents from upper and lower socio-economic class demonstrated less-than-adequate knowledge, attitude and practices towards COVID-19. Public health interventions should therefore be tailored along these lines.
Limitations of the study
The scope of the study was limited by the data collection procedure. The participants were enrolled via Whatsapp and Telegram, due to the need capture the calculated sample size, which limited the study to convenience sampling technique. Some potential respondents were, probably, not captured due to irregular internet access. Those who did not have access to the selected social media platform might be unknowingly exempted from the study. The choice of population (undergraduate students from a university) might have exposed the study to selection bias which limits the generalizability of the study. Considering that the selected university is private institution, further study should focus on the undergraduate students at a public institution.
Data availability
Underlying data
Figshare: COVID-19 Knowledge and symptoms July 13th.xlsx, https://doi.org/10.6084/m9.figshare.20341098 ( Jaiyesimi et al., 2022a).
This project contains the following underlying data:
- -COVID-19 Knowledge and symptoms July 13th.xlsx (Raw de-identified questionnaire answers).
Extended data
Figshare: The Nigerian youth and their positive attitude towards the national drive against the spread of COVID-19: A cross-sectional online survey, https://doi.org/10.6084/m9.figshare.20379930.v1 ( Jaiyesimi et al., 2022b).
This project contains the following extended data:
- -COVID-19 Knowledge and symptoms July 10th Questionnaire.docx
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Ethical approval
Ethical approval was obtained from the Health Research Ethics Committee (ABUAD/HREC/04/10/829). The participants under the age of 18 (duly registered as undergraduate student of the university) are covered by the institutional policy to voluntarily participate in this study with due consideration of no physical harm to the participants.
Consent to participate
All respondents gave written informed consent to participate in the research through informed written consent.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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