Knowledge, Attitude and Perception towards COVID-19 Pandemic among Veterinary Professionals and Impacts: A Cross-Sectional Nationwide-Based Survey
Abstract
:1. Introduction
2. Materials and Methods
2.1. The Study Area
2.1.1. Study Design and Participants
2.1.2. Questionnaire and Data Collection
2.2. Data Analysis
3. Results
3.1. Respondents’ Socio-Demographics
3.2. Knowledge of COVID-19 among Respondents
3.3. Attitude during the Lockdown
3.4. Demographic Factors Associated with Knowledge and Attitude Levels of Respondents
3.5. Perception and Concerns about COVID-19
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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S/N | Variables | Proportions (%) | 95% CI |
---|---|---|---|
1 | Age (n = 368) | ||
20–29 | 54 (14.7) | 11.4–18.7 | |
30–39 | 146 (39.7) | 34.8–44.7 | |
40–49 | 103 (28.0) | 23.6–32.8 | |
50–59 | 50 (13.6) | 10.4–17.5 | |
60–69 | 15 (4.1) | 2.4–6.7 | |
2 | Sex (n = 368) | ||
Female | 100 (27.2) | 22.9–31.9 | |
Male | 268 (72.8) | 68.1–77.1 | |
3 | Marital status (n = 368) | ||
Single | 91 (24.7) | 20.6–29.4 | |
Married | 273 (74.2) | 69.5–78.4 | |
Widowed | 3 (0.8) | 0.16–2.5 | |
Divorced | 1 (0.3) | <0.01–1.7 | |
4 | Religion (n = 368) | ||
Christianity | 265 (72.0) | 67.2–76.4 | |
Islam | 100 (27.2) | 22.9–31.9 | |
Others | 3 (0.8) | 0.16–2.5 | |
5 | Educational qualification (n = 368) | ||
DVM only | 165 (44.8) | 39.3–49.4 | |
Master’s | 133 (36.2) | 32.0–41.72 | |
PhD | 70 (19.0) | 15.3–23.4 | |
6 | Years of work experience post DVM (n = 368) | ||
1–10 | |||
11–19 | 171 (46.5) | 41.4–51.6 | |
20–29 | 110 (29.9) | 25.4–34.8 | |
>30 | 66 (17.9) | 14.3–22.2 | |
21 (5.7) | 3.7– 0.9 | ||
7 | Work background (n = 368) | ||
Private | 130 (35.3) | 30.6–40.3 | |
Public | 197 (53.5) | 48.4–58.6 | |
Both | 27 (7.3) | 0.5–10.5 | |
Retired | 3 (0.8) | 0.2–2.5 | |
Others | 11 (3.0) | 1.6–5.3 | |
8 | Number of household members (n = 368) | ||
Less than 5 | |||
5–10 | 180 (48.9) | 43.8–54.0 | |
10 and above | 174(47.3) | 42.2–52.4 | |
14 (3.8) | 2.2–6.3 | ||
9 | State of residence during the lockdown | ||
(n = 368) | 0.5–3.2 | ||
Abia | 5 (1.4) | 5.7–11.4 | |
Abuja (FCT) | 30 (8.2) | 0.3–2.9 | |
Adamawa | 4 (1.1) | 0.5–3.2 | |
Akwa Ibom | 5 (1.4) | <0.01–1.7 | |
Bauchi | 1 (0.3) | <0.01–1.7 | |
Bayelsa | 1 (0.3) | 2.0–6.0 | |
Benue | 13 (3.5) | 0.8–4.0 | |
Borno | 7 (1.9) | <0.01–1.7 | |
Cross River | 1(0.3) | 1.2–4.7 | |
Delta | 9 (2.4) | <0.01–1.7 | |
Ebonyi | 1 (0.3) | 1.6–5.3 | |
Edo | 11 (3.0) | 0.02–2.1 | |
Ekiti | 2 (0.5) | 1.2–4.7 | |
Enugu | 9 (2.4) | 0.3–2.9 | |
Gombe | 4 (1.1) | <0.01–1.7 | |
Imo | 1 (0.3) | 0.02–2.1 | |
Jigawa | 2 (0.5) | 4.6–9.9 | |
Kaduna | 25 (6.8) | 0.3–2.9 | |
Kano | 4 (1.1) | 1.6–5.3 | |
Katsina | 11 (3.0) | 0.2–2.5 | |
Kebbi | 3 (0.8) | 0.02–2.1 | |
Kogi | 2 (0.5) | 3.9–8.9 | |
Kwara | 22 (6.0) | 9.5–16.3 | |
Lagos | 46 (12.5) | 0.3–2.9 | |
Nasarawa | 4 (1.1) | 0.02–2.1 | |
Niger | 2 (0.5) | 8.8–15.4 | |
Ogun | 43 (11.7) | 0.3–2.9 | |
Ondo | 4 (1.1) | 0.2–2.5 | |
Osun | 3 (0.8) | 6.2–12.1 | |
Oyo | 32 (8.7) | 2.0–6.0 | |
Plateau | 13 (3.5) | 3.9–8.9 | |
Rivers | 21 (5.7) | 4.2–9.2 | |
Sokoto | 23 (6.3) | <0.01–1.7 | |
Taraba | 1 (0.3) | 0.02–2.1 | |
Yobe | 2 (0.5) | <0.01–1.7 | |
Zamfara | 1 (0.3) | ||
10 | Type of lockdown where resident | ||
(n = 368) | |||
Partial | 235 (63.8) | 58.8–68.6 | |
Total | 122 (33.2 | 28.5–38.1 | |
Not Sure | 11(3.0) | 1.6–5.3 |
S/N | Variables | Proportion (%) |
---|---|---|
1 | Source of information and updates on COVID 19. Tick as many that apply Social media TV/Radio Friends Government Health Ministry World Health Organization | 291 (81.0) 300 (81.5) 82 (22.3) 167 (45.4) 200 (54.3) |
2 | COVID-19 is acronym for Virus. Tick as many that apply Corona virus debacle–19 Corona virulent disease version 19 Corona venom disease number 19 Corona virus disease–19 | 2 (0.5) 12 (3.3) 2 (0.5) 352 (95.7) |
3 | COVID-19 is similar to Infectious disease. Tick as many that apply Common flu MERS-CoV SARS-CoV Don’t know | 112 (30.4) 144 (39.1) 347 (94.3) 5 (1.4) |
4 | Scientific evidence to identify the source of COVID-19 transmission to humans Yes No Don’t know | 223 (60.6) 81 (22.0) 64 (17.4) |
5 | Spread of COVID-19 is a result of human to human transmission Yes No Don’t know | 356 (96.7) 11 (3.0) 1 (0.3) |
6 | A person can get infected with the virus while caring for his/her pet Yes No Don’t know | 189 (51.4) 153 (41.6) 26 (7.0) |
7 | If yes, what precautionary measures should be taken for a companion or other animals? Tick as many that apply Hand washing before being around or handling animals, their food, or supplies Avoid kissing, licking or sharing food Other members of their household can care for animals Maintaining good hygiene practices Wearing a face mask if possible Animals belonging to owners infected with COVID-19 should be kept indoors as much as possible Contact with other pets/animals can still be allowed Don’t know | 244 (66.3) 211 (57.3) 202 (54.9) 246 (66.8) 233 (63.3) 187 (50.8) 21 (5.7) 1 (0.3) |
8 | COVID-19 is spread by (Tick as many that apply) Contact with an infected person when they cough or sneeze Touching eyes, nose and mouth after contact with contaminated surfaces Consumption of wildlife (bushmeat) Contact with pets From pregnant mother to baby | 360 (97.8) 363 (98.6) 62 (16.8) 49 (13.3) 43 (11.7) |
9 | Who is more likely to develop COVID-19? Tick as many that apply The elderly Children People with underlying infections Frontline health workers Veterinarians Pet owners Pregnant women Anyone | 342 (92.9) 128 (34.8) 336 (91.3) 326 (88.6) 131 (35.6) 65 (17.7) 110 (29.9) 139 (37.8) |
10 | How long does it take to develop COVID-19 symptoms? 1–2 days 3–7 days 2–14 days 14–28 days 1–2 months | 2 (0.5) 6 (1.6) 347 (94.4) 13 (3.5) 0 |
11 | Wearing of facemasks in public curbs the virus spread? Yes No I don’t know | 300 (81.5) 67 (18.2) 1 (0.3) |
12 | Personal protective equipment must be worn by Frontline workers Caregivers Everyone | 228 (62.0) 73 (19.8) 67 (18.2) |
13 | Is there a cure/vaccine for COVID-19? Yes No I don’t know | 14 (3.8) 335 (91.0) 19 (5.2) |
S/N | Variables | Proportions (%) | Knowledge Level (%) (Mean ± SD) | p Value (ANOVA Independent T-Test) | Attitude Level (%) (Mean ± SD) | p Value (ANOVA Independent T-Test) |
---|---|---|---|---|---|---|
1 | Age (n = 368) | |||||
20–29 | 54 (14.7) | 73.8 ± 8.8 | 0.51 | 61.2 ± 11.5 | <0.0001 * | |
30–39 | 146 (39.7) | 72.0 ± 10.6 | 65.9 ± 10.2 | |||
40–49 | 103 (28.0) | 72.1 ± 9.7 | 67.0 ± 10.9 | |||
50–59 | 50 (13.6) | 71.9 ± 9.4 | 69.4 ± 10.6 | |||
60–69 | 15 (4.1) | 75.9 ± 10.4 | 73.2 ± 9.7 | |||
2 | Sex (n = 368) | |||||
Female | 100 (27.2) | 72. 6 ± 9.1 | 0.88 | 65.7 ± 9.8 | 0.77 | |
Male | 268 (72.8) | 72.39 ± 10.2 | 65.3 ± 11.1 | |||
3 | Marital status (n = 368) | |||||
Single | 91 (24.7) | 72.6 ± 9.2 | 0.86 | 63.35 ± 11.5 | 0.20 | |
Married | 273 (74.2) | 72.4 ± 10.2 | 66.09 ± 10.5 | |||
Widowed | 3 (0.8) | 67.6 ± 10.2 | 62.73± 12.3 | |||
Divorced | 1 (0.3) | 73.5 ± 0.0 | 64.70 ± 0.0 | |||
4 | Religion (n = 368) | |||||
Christianity | 265 (72.0) | 72.6 ± 9.8 | 0.85 | 65.53 ± 10.6 | 0.55 | |
Islam | 100 (27.2) | 72.0 ± 10.1 | 65.18 ± 11.0 | |||
Others | 3 (0.8) | 71.6 ± 17.3 | 58.83 ± 15.6 | |||
5 | Educational qualification (n = 368) | |||||
DVM | 165 (44.8) | 72.1 ± 9.6 | 0.65 | 64.10 ± 10.9 | 0.10 | |
Master’s | 133 (36.2) | 73.1 ± 9.8 | 66.08 ± 10.5 | |||
PhD | 70 (19.0) | 73.1 ± 9.8 | 67.06 ± 10.6 | |||
6 | Years of work experience post DVM (n = 368) | |||||
1–10 | 171 (46.5) | 72.9 ± 9.9 | 0.68 | 64.2 ± 11.1 | 0.04 * | |
11–19 | 110 (29.9) | 71.6 ± 9.8 | 65.8 ± 10.4 | |||
20–29 | 66 (17.9) | 72.2 ± 10.2 | 65.9 ± 10.6 | |||
>30 | 21 (5.7) | 73.5 ± 9.5 | 71.2 ± 9.1 | |||
7 | Work background (n = 368) | |||||
Private | 130 (35.3 | 72.4 ± 10.4 | 0.67 | 66.3 ± 10.0 | 0.35 | |
Public | 197 (53.5) | 72.6 ± 9.0 | 64.2 ± 11.8 | |||
Both | 27 (7.3) | 71.6 ± 11.2 | 63.4 ± 10.6 | |||
Retired | 3 (0.8) | 80.4 ± 1.7 | 66.7 ± 9.0 | |||
Others | 11 (3.0) | 71.1 ± 9.7 | 67.9 ± 11.0 | |||
8 | Number of household members (n = 368) | |||||
Less than 5 | 180 (48.9) | 73.0 ± 9.4 | 0.40 | 64.6 ± 9.8 | 0.01 * | |
5–10 | 174(47.3) | 72.0 ± 10.4 | 66.7 ± 11.6 | |||
10 and above | 14 (3.8) | 69.9 ± 9.5 | 58.8 ± 9.8 | |||
9 | Region of residence during the lockdown (n = 368) | |||||
North Central | 86 (23.4) | 71.8 ± 10.5 | 0.20 | 66.5 ± 12.2 | 0.001 * | |
North East | 20 (5.4) | 75.9 ± 9.8 | 74.6 ± 10.0 | |||
North West | 69 (18.8) | 71.0 ± 9.5 | 64.3 ± 10.0 | |||
South East | 16 (4.3) | 69.5 ± 9.9 | 60.3 ± 12.4 | |||
South South | 48 (13.0) | 72.5 ± 10.8 | 64.5 ± 11.7 | |||
South West | 129(35.1) | 73.5 ± 9.2 | 64.9 ± 9.1 | |||
10 | Type of lockdown where resident | |||||
(n = 368) | ||||||
Partial | 235 (63.8) | 72.5 ± 10.1 | 0.09 | 64.6 ± 11.0 | 0.04 * | |
Total | 122 (33.2 | 72.9 ± 9.1 | 67.2 ± 10.3 | |||
Not Sure | 11(3.0) | 66.0 ± 11.7 | 61.0 ± 9.6 |
S/N | Variables | Proportion (%) |
---|---|---|
1. | I do not think I should adhere to any of these non-pharmaceutical interventions, except. Tick as many that apply | |
Good hand washing hygiene | 359 (97.6) | |
Rubbing hands regularly with alcohol-based sanitizer | 332 (90.2) | |
Social distancing | 344 (93.4) | |
Staying at home | 284 (77.2) | |
Wearing face masks when going out | 323 (87.8) | |
2 | I think I should keep a distance of—during social distancing | |
Less than 1 m | 24 (6.5) | |
3 m | 284 (77.2) | |
4–6 m | 35 (9.7) | |
More than 6 m | 10 (2.7) | |
I don’t know | 15 (4.1) | |
3 | For me, going out is not a concern during the lockdown | |
Not at all | 28 (7.8) | |
Once a week | 95 (25.8) | |
2–5 times a week | 147 (39.9) | |
Everday | 98 (26.6) | |
4 | Going to these areas during the lockdown was not a concern for me. Tick as many that apply | |
Workplace | 204 (55.4) | |
Market | 160 (43.5) | |
Religious places | 39 (10.6) | |
Human clinic | 34 (9.2) | |
Vet clinic | 150 (40.8) | |
Farms | 102 (27.7) | |
Home visits/ambulatory | 58 (15.8) | |
Others | 16 (4.3) | |
5 | I think I should listen to updates on COVID-19 | |
Yes | 326 (88.6) | |
Sometimes | 41 (11.1) | |
Not at all | 1 (0.3) | |
6 | I caught my fun doing the following. Tick as many as apply | |
Watching TV/Movies | 239 (64.9) | |
Reading books | 220 (59.8) | |
Exercising | 174 (47.3) | |
Following social media (WhatsApp, Instagram, Facebook, Twitter etc.) | 223 (63.3) | |
Visiting friends | 10 (2.7) | |
Spending time with the family | 181 (49.2) | |
Working from home | 171 (46.5) | |
Playing with pets | 8 (2.2) | |
Others | 14 (3.8) | |
7 | Taking such drugs to prevent COVID-19 is appropriate for me. Tick as many as apply | |
Antibiotics | 5 (1.4) | |
Herbs | 16 (4.3) | |
Antimalarial | 2 (0.5) | |
Blood tonic | 1 (0.3) | |
Vitamins | 121 (32.9) | |
Others | 12 (3.3) | |
None | 209 (56.8) | |
8 | I felt mentally ------------ towards the lockdown? | |
Anxious/Afraid/Restless/Worried | 246 (66.8) | |
Angry | 15 (4.1) | |
Stressed | 74 (20.1) | |
Lonely | 45 (12.2) | |
Bored | 127 (34.5) | |
Optimistic | 206 (56.0) | |
Pessimistic | 10 (2.7) | |
Depressed | 25 (6.8) | |
9 | Reducing my contact with animals or taking preventive measures is very vital to prevent COVID-19? | |
Yes | 217 (59.0) | |
No | 135 (36.7) | |
Not sure | 16 (4.3) |
Variable | Category | Knowledge | Attitude | ||||
---|---|---|---|---|---|---|---|
Good n (%) | Poor n (%) | p Value | Good n (%) | Poor n (%) | p Value | ||
Age | 20–39 | 128 (64.0) | 72 (36.0) | 0.716 | 76 (38.0) | 124 (62.0) | 0.019 * |
40–59 | 96 (62.7) | 57 (37.3) | 69 (45.1) | 84 (54.9) | |||
≥60 | 11 (73.3) | 4 (26.7) | 11 (73.3) | 4 (26.7) | |||
Sex | Male | 171 (63.8) | 97 (36.2) | 0.973 | 116 (43.3) | 152 (56.7) | 0.571 |
Female | 64 (64.0) | 36 (36.0) | 40 (40.0) | 60 (60.0) | |||
Education | DVM | 106 (65.0) | 57 (35.0) | 0.616 | 59 (36.2) | 104 (63.8) | 0.092 * |
Postgraduate | 102 (64.6) | 56 (35.4) | 76 (48.1) | 82 (51.9) | |||
Advanced Professional | 27 (57.4) | 20 (42.6) | 21 (44.7) | 26 (55.3) | |||
Work experience post-DVM | 1–10 | 114 (66.7) | 57 (33.3) | 0.400 | 62 (36.3) | 109 (63.7) | 0.005 * |
11–19 | 63 (57.3) | 47 (42.7) | 49 (44.5) | 61 (55.5) | |||
20–29 | 44 (66.7) | 22 (33.3) | 29 (43.9) | 37 (56.1) | |||
≥30 | 14 (66.7) | 7 (33.3) | 16 (76.2) | 5 (23.8) | |||
Marital status | Single | 63 (67.7) | 30 (32.3) | 0.579 | 33 (35.5) | 60 (64.5) | 0.271 |
Married | 172 (62.5) | 103 (37.5) | 123 (44.7) | 152 (55.3) | |||
Religion | Islam | 67 (65.7) | 35 (34.3) | 0.651 | 43 (42.2) | 59 (57.8) | 0.955 |
Christianity | 168 (63.2) | 98 (36.8) | 113 (42.5) | 153 (57.5) | |||
Work type | Private | 98 (68.1) | 46 (31.9) | 0.396 | 57 (39.6) | 87 (60.4) | 0.084 * |
Public | 121 (61.4) | 76 (38.6) | 92 (46.7) | 105 (53.3) | |||
Both | 16 (59.3) | 11 (40.7) | 7 (25.9) | 20 (74.1) | |||
Number of persons per household | <5 | 120 (66.7) | 60 (33.3) | 0.519 | 66 (36.7) | 114 (63.3) | 0.011 * |
5–10 | 107 (61.5) | 67 (38.5) | 87 (50.0) | 87 (50.0) | |||
>10 | 8 (57.1) | 6 (42.9) | 3 (21.4) | 11 (78.6) | |||
Type of lockdown | Partial | 149 (63.4) | 86 (36.6) | 0.745 | 90 (38.3) | 145 (61.7) | 0.070 * |
Total | 80 (65.6) | 42 (34.4) | 62 (50.8) | 60 (49.2) | |||
Unsure | 6 (54.5) | 5 (45.5) | 4 (36.4) | 7 (63.6) |
Variable | Category | Attitude | aOR | 95% CI | p Value | |
---|---|---|---|---|---|---|
Good n (%) | Poor n (%) | |||||
Age | 20–39 | 76 (38.0) | 124 (62.0) | 1.00 (Referent) | - | - |
40–59 | 69 (45.1) | 84 (54.9) | 1.34 | 0.873–2.056 | 0.18 | |
≥60 | 11 (73.3) | 4 (26.7) | 4.49 | 1.379–14.594 | 0.013 * | |
Education | DVM | 59 (36.2) | 104 (63.8) | 1.00 (Referent) | - | - |
Postgraduate | 76 (48.1) | 82 (51.9) | 1.63 | 1.045–2.553 | 0.031 * | |
Advanced Professional | 21 (44.7) | 26 (55.3) | 1.42 | 0.737–2.749 | 0.293 | |
Work experience post DVM | 1–10 | 62 (36.3) | 109 (63.7) | 1.00 (Referent) | - | - |
11–19 | 49 (44.5) | 61 (55.5) | 1.41 | 0.867–2.302 | 0.166 | |
20–29 | 29 (43.9) | 37 (56.1) | 1.38 | 0.773–2.458 | 0.277 | |
≥30 | 16 (76.2) | 5 (23.8) | 5.63 | 1.966–16.100 | 0.001 * | |
Work type | Private | 57 (39.6) | 87 (60.4) | 1.00 (Referent) | - | - |
Public | 92 (46.7) | 105 (53.3) | 1.34 | 0.865–2.068 | 0.191 | |
Both | 7 (25.9) | 20 (74.1) | 0.53 | 0.212–1.345 | 0.183 | |
No. of persons/household | <5 | 66 (36.7) | 114 (63.3) | 1.00 (Referent) | - | - |
5–10 | 87 (50.0) | 87 (50.0) | 1.73 | 1.130–2.641 | 0.012 * | |
>10 | 3 (21.4) | 11 (78.6) | 0.47 | 0.127–1.750 | 0.261 | |
Type of lockdown | Partial | 90 (38.3) | 145 (61.7) | 1.00 (Referent) | - | - |
Total | 62 (50.8) | 60 (49.2) | 1.66 | 1.070–2.590 | 0.024 * | |
Unsure | 4 (36.4) | 7 (63.6) | 0.92 | 0.262–3.234 | 0.897 |
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Adenubi, O.; Adebowale, O.; Adesokan, H.; Oloye, A.; Bankole, N.; Fadipe, O.; Ayo-Ajayi, P.; Akinloye, A. Knowledge, Attitude and Perception towards COVID-19 Pandemic among Veterinary Professionals and Impacts: A Cross-Sectional Nationwide-Based Survey. COVID 2021, 1, 645-665. https://doi.org/10.3390/covid1030053
Adenubi O, Adebowale O, Adesokan H, Oloye A, Bankole N, Fadipe O, Ayo-Ajayi P, Akinloye A. Knowledge, Attitude and Perception towards COVID-19 Pandemic among Veterinary Professionals and Impacts: A Cross-Sectional Nationwide-Based Survey. COVID. 2021; 1(3):645-665. https://doi.org/10.3390/covid1030053
Chicago/Turabian StyleAdenubi, Olubukola, Oluwawemimo Adebowale, Hezekiah Adesokan, Abimbola Oloye, Noah Bankole, Oladotun Fadipe, Patience Ayo-Ajayi, and Adebayo Akinloye. 2021. "Knowledge, Attitude and Perception towards COVID-19 Pandemic among Veterinary Professionals and Impacts: A Cross-Sectional Nationwide-Based Survey" COVID 1, no. 3: 645-665. https://doi.org/10.3390/covid1030053
APA StyleAdenubi, O., Adebowale, O., Adesokan, H., Oloye, A., Bankole, N., Fadipe, O., Ayo-Ajayi, P., & Akinloye, A. (2021). Knowledge, Attitude and Perception towards COVID-19 Pandemic among Veterinary Professionals and Impacts: A Cross-Sectional Nationwide-Based Survey. COVID, 1(3), 645-665. https://doi.org/10.3390/covid1030053