| Literature DB >> 32638198 |
Rine Christopher Reuben1, Margaret M A Danladi2, Dauda Akwai Saleh3, Patricia Ene Ejembi4.
Abstract
The COVID-19 pandemic has become a major public health challenge globally with countries of the world adopting unprecedented infection prevention and control (IPC) measures to urgently curtail the spread of the COVID-19 virus. The knowledge, attitudes and practices (KAP) of the people toward COVID-19 is critical to understanding the epidemiological dynamics of the disease and the effectiveness, compliance and success of IPC measures adopted in a country. This study sought to determine the levels of KAP toward COVID-19 among residents of north-central Nigeria. A cross-sectional online survey with a semi-structured questionnaire using a Snowball sampling technique was conducted during the national lockdown. Data collected were analyzed using descriptive statistics, analysis of variance (ANOVA), Pearson's correlation and regression tests. From a total of 589 responses received, 80.6, 59.6, 90.4 and 56.2% were from respondents between ages 18-39 years, males, had a college (Bachelor) degree or above and reside in urban areas respectively. Respondents had good knowledge (99.5%) of COVID-19, gained mainly through the internet/social media (55.7%) and Television (27.5%). The majority of the respondents (79.5%) had positive attitudes toward the adherence of government IPC measures with 92.7, 96.4 and 82.3% practicing social distancing/self-isolation, improved personal hygiene and using face mask respectively. However, 52.1% of the respondents perceived that the government is not doing enough to curtail COVID-19 in Nigeria. Pearson's correlation showed significant relationship between knowledge of COVID-19 and attitude towards preventive measures (r = 0.177, p = 0.004, r = 0.137, p = 0.001). Although 61.8% of the respondents have no confidence in the present intervention by Chinese doctors, only 29.0% would accept COVID-19 vaccines when available. This study recorded good knowledge and attitudes among participants, however, community-based health campaigns are necessary to hold optimistic attitudes and practice appropriate intervention measures devoid of misconceptions.Entities:
Keywords: Attitude; COVID-19; Knowledge; North-central Nigeria; Practice; Public health
Mesh:
Year: 2021 PMID: 32638198 PMCID: PMC7338341 DOI: 10.1007/s10900-020-00881-1
Source DB: PubMed Journal: J Community Health ISSN: 0094-5145
Socio-demographic characteristics of participants
| Variable | Frequency (n = 589) | Percent (%) | |
|---|---|---|---|
| Age (years) | 18–29 years | 261 | 44.3 |
| 30–39 years | 214 | 36.3 | |
| 40–49 years | 93 | 15.8 | |
| 50–59 years | 21 | 3.6 | |
| Gender | Female | 238 | 40.4 |
| Male | 351 | 59.6 | |
| Marital status | Married | 230 | 39.0 |
| Single | 354 | 60.1 | |
| Divorced | 3 | 0.5 | |
| Widow/widower | 2 | 0.3 | |
| Level of education | High school | 26 | 4.4 |
| College/bachelor | 348 | 59.1 | |
| Master | 153 | 26.0 | |
| PhD | 31 | 5.3 | |
| Others | 31 | 5.3 | |
| State of residence | Plateau | 196 | 33.3 |
| Nasarawa | 150 | 25.5 | |
| FCT | 67 | 11.4 | |
| Benue | 18 | 3.1 | |
| Kwara | 10 | 1.7 | |
| Kogi | 8 | 1.4 | |
| Niger | 4 | 0.7 | |
| Others | 136 | 23.1 | |
| Residential location | Urban | 331 | 56.2 |
| Semi-urban | 213 | 36.2 | |
| Rural | 45 | 7.6 | |
| Residential layout | Linear (strait) street arrangement | 346 | 58.7 |
| Nucleated (round) street arrangement | 75 | 12.7 | |
| Scattered street arrangement | 100 | 17.0 | |
| No clear street arrangement | 68 | 11.5 | |
| Residential structure | Flat | 386 | 65.5 |
| Congregated compound | 130 | 22.1 | |
| Estate | 73 | 12.4 | |
| Number of family member living together in one house | 0–5 people | 333 | 56.5 |
| 15–20 people | 7 | 1.2 | |
| 5–10 people | 214 | 36.3 | |
| 10–15 people | 26 | 4.4 | |
| Much more | 9 | 1.5 |
Knowledge of residents of north-central Nigerian about COVID-19
| S/N | Questions | Frequency (n = 589) | Percent (%) |
|---|---|---|---|
| 1 | Have you heard of COVID-19? | ||
| Yes | 586 | 99.5 | |
| No | 3 | .5 | |
| 2 | If yes in 1 above, from where did you hear of it? | ||
| Other sources | 22 | 3.7 | |
| Internet/social media | 328 | 55.7 | |
| Newspaper | 7 | 1.2 | |
| Friends/family | 16 | 2.7 | |
| TV | 162 | 27.5 | |
| Government enlightenment campaign | 54 | 9.2 | |
| 3 | Is COVID-19 the same as Flu virus? | ||
| Yes | 154 | 26.1 | |
| No | 352 | 59.8 | |
| I don't know | 83 | 14.1 | |
| 4 | What causes COVID-19? | ||
| Bacteria | 11 | 1.9 | |
| Fungi | 3 | .5 | |
| Virus | 541 | 91.9 | |
| I don't know | 34 | 5.8 | |
| 5 | Does eating or contacting wild animals’ results in COVID-19 infection? | ||
| Yes | 136 | 23.1 | |
| No | 316 | 53.7 | |
| I don't know | 137 | 23.3 | |
| 6 | Which of the following disease(s) is similar to COVID-19? You are free to choose more than one | ||
| Typhoid | 55 | 9.3 | |
| Malaria | 119 | 20.2 | |
| Ebola | 199 | 33.8 | |
| HIV/AIDS | 50 | 8.5 | |
| SARS | 326 | 55.3 | |
| All of the above | 29 | 4.9 | |
| None of the above | 65 | 11.0 | |
| 7 | Is it possible for a COVID-19 positive person to show no symptoms? | ||
| Yes | 449 | 76.2 | |
| No | 108 | 18.3 | |
| I don't know | 32 | 5.4 | |
| 8 | How long does it take from contracting the disease till showing symptoms (Incubation period)? | ||
| Less than 7 days | 15 | 2.5 | |
| 1–14 days | 543 | 92.2 | |
| 2–21 days | 16 | 2.7 | |
| 1–3 months | 2 | .3 | |
| I don't know | 13 | 2.2 | |
| 9 | Who can get infected with COVID-19? | ||
| Old people only | 3 | .5 | |
| Young adults only | 1 | .2 | |
| Anyone can be infected | 584 | 99.2 | |
| Teenagers and children only | 1 | .2 | |
| 10 | Which is a symptom for COVID-19? (select all that applies) | ||
| High fever | 512 | 86.9 | |
| Runny nose | 241 | 40.9 | |
| Dry cough | 528 | 89.6 | |
| Breathing difficulty | 557 | 94.6 | |
| Muscle pain | 181 | 30.7 | |
| Fatigue | 308 | 52.3 | |
| Bleeding | 53 | 9.0 | |
| 11 | How does the virus spread? (select all that applies) | ||
| Air droplets (from patient sneezing/coughing) | 548 | 93.0 | |
| Mosquitoes/flies | 7 | 1.2 | |
| Contact with contaminated surfaces | 504 | 85.6 | |
| Close contact with people who have the virus | 521 | 88.5 | |
| I don’t know | 5 | 0.8 | |
| 12 | What can kill the virus? (select all that applies) | ||
| Clean surfaces with diluted chlorine | 345 | 58.6 | |
| Alcohol-based sanitizers | 558 | 94.7 | |
| Soap/detergents | 481 | 81.7 | |
| Water alone | 17 | 2.9 | |
| I don’t know | 19 | 3.2 | |
| 13 | Is hand-wash important? | ||
| Yes | 583 | 99.0 | |
| No | 2 | 0.3 | |
| Maybe | 4 | 0.7 | |
| 14 | If yes in 13 above, how long should you wash your hands to kill the virus? | ||
| Less than 20 s | 57 | 9.7 | |
| 20 s to 1 min | 485 | 82.3 | |
| I don't know | 47 | 8.0 |
Fig. 1Attitudes of residents of north-central Nigeria towards COVID-19
Perception of Nigerians towards national/community response of COVID-19
| S/N | Variable | Frequency | Percent (%) |
|---|---|---|---|
| 1 | Do you think that the government has/is doing enough to stop the global pandemic in Nigeria? | ||
| Yes | 139 | 23.6 | |
| No | 307 | 52.1 | |
| Maybe | 143 | 24.3 | |
| 2 | Do you agree with the obligatory lockdown/measures Nigeria is taking? | ||
| Yes | 374 | 63.5 | |
| No | 115 | 19.5 | |
| Maybe | 100 | 17.0 | |
| 3 | Do you agree with the government stay-at-home order? | ||
| Yes | 428 | 72.7 | |
| No | 84 | 14.3 | |
| Maybe | 77 | 13.1 | |
| 4 | Are you complying with the government stay-at-home order? | ||
| Yes | 460 | 78.1 | |
| No | 25 | 4.2 | |
| Sometimes | 104 | 17.7 | |
| 5 | Do you believe in Chinese doctors’ intervention in Nigeria? | ||
| Yes | 73 | 12.4 | |
| No | 401 | 68.1 | |
| Maybe | 115 | 19.5 | |
| 6 | Will you accept COVID-19 vaccine? | ||
| Yes | 171 | 29.0 | |
| No | 268 | 45.5 | |
| Maybe | 150 | 25.5 | |
| 7 | On a scale of 1–5, how satisfied are you with your country’s response against the COVID-19 pandemic? | ||
| Not satisfied | 141 | 23.9 | |
| Partly satisfied | 155 | 26.3 | |
| Satisfied | 234 | 39.7 | |
| More than satisfied | 34 | 5.8 | |
| Very satisfied | 25 | 4.2 | |
| 8 | How satisfied are you with the media/social media coverage of the COVID-19 pandemic? | ||
| Very satisfied/keeps me updated | 267 | 45.3 | |
| Makes me worry more/stressful | 55 | 9.3 | |
| Not enough information | 70 | 11.9 | |
| There are more lies than truth | 138 | 23.4 | |
| I don't follow any media update | 8 | 1.4 | |
| No comment | 51 | 8.7 | |
| 9 | What do you think we can do as a community to reduce the spread COVID-19 (select all that applies)? | ||
| Follow/respect the health recommendations of my country | 531 | 90.2 | |
| Eat healthy/practice sports | 311 | 52.8 | |
| Attending religious gatherings | 28 | 4.8 | |
| Social distancing/avoid crowd | 464 | 78.8 | |
| Volunteer to support whenever possible | 268 | 45.5 | |
| Avoid handshakes and face kissing | 438 | 74.4 | |
| I don’t know | 5 | 0.8 | |
| 10 | Do you think we can prevent such a global pandemic in the future? | ||
| Yes | 415 | 70.5 | |
| No | 34 | 5.8 | |
| Maybe | 140 | 23.8 | |
| 11 | Which of these can prevent/help against the occurrence of such a global pandemic in the future? (select all that applies) | ||
| Reduced international travels | 266 | 42.2 | |
| Improve surveillance in the human and animal health sectors | 394 | 66.9 | |
| Establish early alerts and global warning systems for infectious diseases | 486 | 82.5 | |
| Collaboration between environmental, animal and human health workers | 344 | 58.4 | |
| Intensify research on preventive measures such as vaccines/diagnosis | 460 | 78.1 | |
| Raise public awareness of proper hygiene/healthy habits | 452 | 76.7 | |
| Prioritize human life/health welfare over animal or environmental ones | 208 | 35.3 | |
| 12 | Are you willing to read and share with others the right information about COVID-19? | ||
| Yes | 552 | 93.7 | |
| No | 8 | 1.4 | |
| Maybe | 29 | 4.9 |
Mean score of COVID-19 knowledge in relation to attitude and perception towards preventive measures and national response
| Attitudes towards preventive measures, perception towards national response | Mean score | Std. error | 95% Confidence interval | |
|---|---|---|---|---|
| Lower bound | Upper bound | |||
| Negative attitude | 1.886 | 0.018 | 1.852 | 1.921 |
| Positive attitude | 1.961 | 0.014 | 1.934 | 1.988 |
| Negative perception | 1.896 | 0.014 | 1.868 | 1.925 |
| Positive perception | 1.951 | 0.017 | 1.917 | 1.984 |
ANOVA source table for knowledge of COVID-19, attitude towards preventive measures and perception of national response
| Source | Type III sum of squares | Df | Mean square | F | p-value |
|---|---|---|---|---|---|
| Corrected model | 1.756a | 3 | 0.585 | 8.789 | 0.000 |
| Intercept | 1983.049 | 1 | 1983.049 | 29,778.429 | 0.000 |
| Attitude towards preventive measures | 0.740 | 1 | 0.740 | 11.116 | 0.001 |
| Perception of national response | 0.393 | 1 | 0.393 | 5.896 | 0.015 |
| Attitude towards preventive measures*perception of national response | 0.393 | 1 | 0.393 | 5.896 | 0.015 |
| Error | 38.957 | 585 | 0.067 | ||
| Total | 2224.000 | 589 | |||
| Corrected total | 40.713 | 588 |
aR Squared = 0.043 (Adjusted R Squared = 0.038)
Pearson’s correlation table for relationship between knowledge of COVID-19, attitude towards preventive measures and perception of national response
| Perception of national response | ||
|---|---|---|
| Pearson’s correlation (r) | p-value | |
| Knowledge of COVID-19 | 0.177 | 0.004 |
| Attitude towards preventive measures | 0.137 | 0.001 |
Summary of regression models
| R2 | F Change | df1 | df2 | Sig | Durbin–Watson | |
|---|---|---|---|---|---|---|
| Model 1 | 0.04.1 | 1.006 | 1 | 587 | 0.316 | 2.075 |
| Model 2 | 0.19.7 | 23.648 | 1 | 587 | 0.000 | 2.160 |
Coefficients of regression models
| Model | Unstandardized coefficients | Standardized coefficients | T | p-value | ||
|---|---|---|---|---|---|---|
| B | Std. error | Beta | ||||
| Model 1 | (Constant) | 1.511 | 0.121 | 12.441 | 0.000 | |
| Spread of COVID-19 | 0.016 | 0.016 | 0.041 | 1.003 | 0.316 | |
| Model 2 | (Constant) | 5.750 | 0.148 | 0.197 | 38.901 | 0.000 |
| Community transmission | 0.121 | 0.025 | 0.197 | 4.863 | 0.000 | |