| Literature DB >> 35291358 |
Ismail Ayoade Odetokun1, Nma Bida Alhaji2, Uduak Akpabio3, Madinat Abimbola Abdulkareem1, Gladys Taye Bilat4, Deepak Subedi5, Ibrahim Ghali-Mohammed1, Nusirat Elelu1.
Abstract
Introduction: the on-going COVID-19 pandemic caused by the SARS-CoV-2 virus has imposed serious public health and economic threats on the entire world population. The SARS-CoV-2 has been identified from both domestic and wild animals constituting a threat to humans since most apparently healthy animals may potentially infect and cause the disease in humans, especially Animal Health Professionals (AHPs) who come directly in contact with animals. These professionals such as veterinarians play important roles among the One Health team in controlling the pandemic. This survey was conducted to assess the knowledge, risk perception, and prevention behaviors of AHPs in Nigeria who are important personnel in the control of emerging and re-emerging zoonotic and infectious diseases.Entities:
Keywords: COVID-19; Nigeria; animal health professionals; knowledge; risk perception
Mesh:
Year: 2022 PMID: 35291358 PMCID: PMC8895551 DOI: 10.11604/pamj.2022.41.20.28315
Source DB: PubMed Journal: Pan Afr Med J
demographic features of the participants (n = 427)
| Demographics | Category | Frequency (n) | Proportion (%) | Confidence interval |
|---|---|---|---|---|
| Age (years) | < 26 | 67 | 15.7 | 12.47, 19.37 |
| 26 - 45 | 285 | 66.7 | 62.17, 71.09 | |
| > 45 | 75 | 17.6 | 14.17, 21.39 | |
| Gender | Male | 245 | 57.4 | 52.64, 62.01 |
| Female | 181 | 42.4 | 37.76, 47.12 | |
| Prefer not to say | 1 | 0.2 | 0.01, 1.15 | |
| Marital status | Single | 163 | 38.2 | 33.65, 42.85 |
| Married | 263 | 61.6 | 56.91, 66.12 | |
| Prefer not to say | 1 | 0.2 | 0.01, 1.15 | |
| Professional status | Laboratory Technologist | 47 | 11.0 | 8.29, 14.25 |
| Para-veterinarian | 89 | 20.8 | 17.19, 24.89 | |
| Veterinarian | 291 | 68.1 | 63.61, 72.44 | |
| Educational level | Ph.D. | 69 | 16.2 | 12.90, 19.88 |
| Masters | 105 | 24.6 | 20.68, 28.84 | |
| First degree | 201 | 47.1 | 42.37, 51.82 | |
| Diploma | 37 | 8.7 | 6.27, 11.62 | |
| High school | 15 | 3.5 | 2.06, 5.60 | |
| Geopolitical zone | Northcentral | 133 | 31.1 | 26.89, 35.66 |
| Northeast | 14 | 3.3 | 1.88, 5.31 | |
| Northwest | 39 | 9.1 | 6.67, 12.15 | |
| Southwest | 86 | 20.1 | 16.54, 24.15 | |
| Southeast | 106 | 24.8 | 20.90, 29.09 | |
| Southsouth | 49 | 11.5 | 8.71, 14.77 |
knowledge, perception on zoonotic risk pathways, and mitigation practices about COVID-19 among animal health professionals in Nigeria
| Question | Responses (n = 427) | ||
|---|---|---|---|
| Knowledge of COVID-19 | Yes n (%) | No n (%) | |
| Have you ever heard about COVID-19? | 427 (100.0) | 0 (0.0) | |
| Can humans be infected with COVID-19 virus? | 427 (100.0) | 0 (0.0) | |
| Has COVID-19 outbreaks occurred in Nigeria? | 420 (98.4) | 7 (1.6) | |
| Have you ever seen humans with clinical symptoms indicative of COVID-19? | 100 (23.4) | 327 (76.6) | |
| Can companion animals be infected with COVID-19 virus? | 320 (74.9) | 107 (25.1) | |
| Can wild animals be infected with COVID-19 virus? | 427 (100) | 0 (0.0) | |
| Have you ever seen animals with clinical signs indicative of COVID-19? | 24 (5.6) | 403 (94.4) | |
| Can COVID-19 be transmitted from animals to humans (zoonosis)? | 291 (68.1) | 136 (31.9) | |
| Can COVID-19 be transmitted from humans to animals (zooanthroponosis) | 283 (66.3) | 144 (33.7) | |
| Perceptions on zoonotic risk pathways | Low n (%) | Medium n (%) | High n (%) |
| Visiting live animal markets | 132 (30.9) | 164 (38.4) | 131 (30.7) |
| Consumption of infected raw meat and meat products | 60 (14.1) | 145 (34.0) | 222 (52.0) |
| Contacts with infected animals and contaminated fomites | 16 (3.7) | 57 (13.3) | 354 (82.9) |
| Environmental contamination with viral aerosols | 12 (2.8) | 43 (10.1) | 372 (87.1) |
| Mitigation measures | Yes n (%) | No n (%) | |
| Washing and sanitizing hands after handling animals | 425 (99.5) | 2 (0.5) | |
| Washing hands with soap before eating at work | 426 (99.8) | 1 (0.2) | |
| Disposing used kits in appropriate containers | 425 (99.5) | 2 (0.5) | |
| Routinely isolating suspected animals from others | 424 (99.3) | 3 (0.7) | |
| Restriction of people from having contacts with suspected animals | 420 (98.4) | 7 (1.6) | |
| Sterilization of all equipment after use | 424 (99.3) | 3 (0.7) | |
| Use of PPE (overalls/gown, gloves, cap and face mask) before handling suspected cases | 426 (99.8) | 1 (0.2) | |
Figure 1reported wild animals incriminated in the spread of COVID-19 by animal health professionals in Nigeria
Figure 2most susceptible companion animals to COVID-19 reported by animal health professionals in Nigeria
factors associated with the knowledge of COVID-19 among animal health professionals in Nigeria (n = 427)
| Knowledge level | |||||||
|---|---|---|---|---|---|---|---|
| Demographics | Satisfactory | Unsatisfactory | P-value (χ2) | OR | CI | P-value | |
| Age (years) | |||||||
| < 26 | 67 (15.7) | 33 (49.25) | 34 (50.75) | 0.002* | 1.00 | - | - |
| 26 - 45 | 285 (66.7) | 195 (68.42) | 90 (31.58) | 0.45 | 0.26, 0.77 | 0.006* | |
| > 45 | 75 (17.6) | 57 (76.00) | 18 (24.00) | 0.31 | 0.15, 0.63 | 0.002* | |
| Gender | |||||||
| Male | 245 (57.4) | 160 (65.31) | 85 (34.69) | 0.613 | - | - | - |
| Female | 181 (42.4) | 124 (68.51) | 57 (31.49) | - | - | - | |
| Prefer not to say | 1 (0.2) | 1 (100.00) | 0 (1.00) | - | - | - | |
| Marital status | |||||||
| Single | 163 (38.2) | 97 (59.51) | 66 (40.49) | 0.014* | 1.00 | - | - |
| Married | 263 (61.6) | 188 (71.48) | 71 (26.99) | 0.56 | 0.37, 0.84 | 0.007* | |
| Prefer not to say | 1 (0.2) | 1 (100.00) | 0 (1.00) | - | - | - | |
| Professional status | |||||||
| Laboratory Technologist | 47 (11.0) | 24 (51.06) | 23 (48.94) | 0.002* | 1.00 | - | - |
| Para-veterinarian | 89 (20.8) | 51 (57.30) | 38 (42.69) | 0.78 | 0.38, 1.58 | 0.606 | |
| Veterinarian | 291 (68.1) | 210 (72.16) | 81 (27.84) | 0.40 | 0.22, 0.75 | 0.008* | |
| Educational level | |||||||
| Ph.D. | 69 (16.2) | 48 (69.57) | 21 (30.43) | 0.522 | - | - | - |
| Masters | 105 (24.6) | 76 (72.38) | 29 (27.62) | - | - | - | |
| First degree | 201 (47.1) | 127 (63.18) | 74 (36.82) | - | - | - | |
| Diploma | 37 (8.7) | 25 (67.57) | 12 (32.43) | - | - | - | |
| High school | 15 (3.5) | 9 (60.00) | 6 (40.00) | - | - | - | |
| Geopolitical zone | |||||||
| Northcentral | 133 (31.1) | 84 (63.16) | 49 (36.84) | 0.000* | 1.00 | - | - |
| Northeast | 14 (3.3) | 6 (42.86) | 8 (57.14) | 2.29 | 0.75, 6.97 | 0.234 | |
| Northwest | 39 (9.1) | 33 (84.62) | 6 (15.38) | 0.31 | 0.12, 0.79 | 0.016* | |
| Southwest | 86 (20.1) | 45 (52.33) | 41 (47.67) | 1.56 | 0.90, 2.71 | 0.147 | |
| Southeast | 106 (24.8) | 78 (73.58) | 28 (26.42) | 0.61 | 0.35, 1.07 | 0.114 | |
| Southsouth | 49 (11.5) | 39 (79.59) | 10 (20.41) | 0.44 | 0.20, 0.96 | 0.050 | |
- significant at p < 0.05; CI - Confidence Interval; OR -Odds ratio