| Literature DB >> 33122925 |
Girmay Adhena1, Hagos Degefa Hidru2.
Abstract
BACKGROUND: The emerging of the novel coronavirus in Wuhan, China, since the time declared as a public health emergency of international concern, its impact on the lives of people is negatively substantial. Despite the vulnerability of all ages from the pandemic, evidence showed that elder people are at high-risk for adverse outcomes from coronavirus disease-19. Therefore, this study aimed to assess the knowledge, attitude, and practice of high-risk age groups to coronavirus disease-19 prevention and control in Korem district, Tigray, Ethiopia.Entities:
Keywords: COVID-19; Ethiopia; Korem; attitude; elders; knowledge; practice; risky group
Year: 2020 PMID: 33122925 PMCID: PMC7591002 DOI: 10.2147/IDR.S275168
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Socio-Demographic Characteristics of High-Risk Age Groups to COVID-19 Prevention and Control in Korem District, Tigray, Ethiopia (N=419), April 2 to May 9/2020
| Characteristics | Category | Frequency | Percentage |
|---|---|---|---|
| Age (year) | 60–69 | 256 | 61.1 |
| Sex | Male | 215 | 51.3 |
| Religion | Orthodox | 402 | 95.9 |
| Ethnicity | Tigray | 412 | 98.3 |
| Marital status | In relationship | 215 | 51.3 |
| Education status | No formal education | 236 | 56.4 |
| Occupational status | Housewife | 57 | 13.6 |
| Income status (in Birr) | <1000 | 334 | 79.7 |
Figure 1Knowledge, attitude, and practice of high-risk age groups to COVID-19 prevention and control in Korem district, Tigray, Ethiopia, April 2 to May 9/2020.
Knowledge of Participants About COVID-19 Among the Risky Age Group in Korem, Tigray, Ethiopia (N=419), April 2 to May 9/2020
| No | Items | Yes (%) | No (%) |
|---|---|---|---|
| K1 | Heard information about the new coronavirus disease | 414 (98.8) | 5 (1.2) |
| K2 | know who is at the highest risk to get coronavirus | 269 (64.2) | 150 (35.8) |
| K3 | Know the sign and symptoms of COVID-19 infection | 395 (94.3) | 24 (5.7) |
| K4 | Know the preventive measures of COVID-19 infection | 396 (94.5) | 23 (5.5) |
| K5 | Know the main transmission route of COVID-19 | 389 (92.8) | 30 (7.2) |
| K6 | Know the transmission method of COVID-19 | 390 (93.1) | 29 (6.9) |
| K7 | Can COVID-19 be caught from a person who has no symptoms | 179 (42.7) | 240 (57.3) |
| K8 | Know how long does it take after exposure to COVID-19 to develop symptoms | 278 (66.3) | 141 (33.7) |
| K9 | Know that elder people catch by COVID-19 more than others | 380 (90.7) | 39 (9.3) |
Attitude of Participants About COVID-19 Among Risky Age Groups in Korem, Tigray, Ethiopia (N=419), April 2 to May 9/2020
| No | Items | Yes (%) | No (%) |
|---|---|---|---|
| A1 | Think he/she is at risk of getting sick with the new coronavirus | 332 (79.2) | 87 (20.8) |
| A2 | Aware of the ongoing COVID-19 infection pandemic | 342 (81.6) | 77 (18.4) |
| A3 | Agreed that COVID-19 will finally be successfully controlled | 238 (56.8) | 181 (43.2) |
| A4 | Have confidence that Ethiopia can win the battle against the COVID-19 virus | 233 (55.6) | 186 (44.4) |
| A5 | Scared due to the human-to-person transmission of COVID-19 | 339 (80.9) | 80 (19.1) |
Preventive Practice of Participants About COVID-19 Among the Risky Age Group in Korem, Tigray, Ethiopia (N=419), April 2 to May 9/2020
| No | Items | Yes (%) | No (%) |
|---|---|---|---|
| P1 | Did use soap and water to wash their hands continuously | 401 (95.7) | 18 (4.3) |
| P2 | Used sanitizer or alcohol hand rub in their daily activities | 100 (23.9) | 319 (76.1) |
| P3 | Did keep their social distance (2m) in every movement | 221 (52.7) | 198 (47.3) |
| P4 | Did cover their nose and mouth with a tissue during sneezing or coughing | 266 (63.5) | 153 (36.5) |
| P5 | Did throw the used tissue/soft paper in the trash | 256 (61.1) | 163(38.9) |
| P6 | Did you use a face mask in crowds | 47 (11.2) | 372 (88.8) |
Univariable Analysis of Demographic Characteristics with Knowledge, Attitude, and Practice Scores of High-Risk Age Groups to COVID-19 Prevention and Control in Korem District, Tigray, Ethiopia, April 2 to May 9/2020
| Variables | Category | Knowledge | Practice | Attitude | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean ± SD | Statistic | P-value | Mean ± SD | Statistic | P-value | Mean ± SD | Statistic | P-value | ||
| Age (Year) | 60–69 | 13.05 ± 2.28 | F =101 | <0.001 | 10.65 ± 1.2 | F = 64.9 | <0.001 | 8.97 ±1.52 | F = 112.2 | <0.001 |
| Sex | Male | 10.66 ± 1.8 | t= −0.601 | 0.243 | 8.85 ± 1.67 | t = −0.86 | 0.398 | 6.6 ± 1.77 | t =−1.67 | 0.877 |
| Marital status | In relationship | 12.29 ± 2.33 | F =27.6 | <0.001 | 10.2 ± 1.6 | F =17 | <0.001 | 6.59 ± 1.66 | F = 29.7 | <0.001 |
| Religion | Orthodox | 10.61 ± 1.85 | t = 0.704 | 0.48 | 8.94 ± 1.66 | t = 1.13 | 0.956 | 6.47 ± 1.8 | t = 0.524 | 0.083 |
| Ethnicity | Tigray | 10.6 ± 1.85 | t = 0.46 | 0.302 | 8.93 ± 1.66 | t = 1.477 | 0.99 | 6.5 ± 1.79 | t = −0.169 | 0.59 |
| Educational status | No formal education | 9.38 ± 1.5 | F = 29.7 | <0.001 | 7.59 ± 1.2 | F = 27.8 | <0.001 | 5.38 ± 1 | F = 17.8 | <0.001 |
| Income (In Birr) | <1000 | 9.34 ± 1.1 | t = 12.9 | <0.001 | 7.66 ± 1.17 | t = 10.2 | <0.001 | 5.5 ± 1 | t = 8.75 | <0.001 |
| Employment status | Housewife | 11.4 ± 2.2 | F = 19.4 | <0.001 | 9.4 ± 1.6 | F =18.6 | <0.001 | 6.9 ± 1.74 | F = 18.14 | <0.001 |
Multivariate Linear Regression of Statistical Association Between Demographic Characteristics with Knowledge, Attitude, and Practice Scores of High-Risk Age Groups to COVID-19 Prevention and Control in Korem District, Tigray, Ethiopia, April 2 to May 9/2020
| Variables | Knowledge | Attitude | Practice | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Unstandardized Coefficient (95%) | P-value | VIF | Unstandardized Coefficient (95%) | P-value | VIF | Unstandardized Coefficient (95%) | P-value | VIF | |
| Age | −0.22 (−0.282, −0.16) | <0.001 | 1.279 | −0.18 (−0.245, −0.144) | <0.001 | 1.264 | −0.219 (−0.28, −0.157) | <0.001 | 1.100 |
| Sex | 0.104 (0.016, 0.193) | 0.021 | 1.314 | 0.211 (0.114,0.309) | <0.001 | 1.314 | 0.301 (−0.062, 0.127) | NS** | 1.222 |
| Marital status | −0.07 (−0.108, −0.024) | 0.002 | 1.382 | −0.064 (−0.11, −0.017) | 0.007 | 1.384 | −0.014 (−0.062, 0.033) | NS** | 1.411 |
| Religion | −0.113 (−0.311, 0.084) | NS** | 1.017 | −0.18 (−0.395,0.036) | NS** | 1.008 | 0.004 (−0.216, 0.224) | NS** | 1.014 |
| Ethnicity | −0.184 (−0.488, 0.12) | NS** | 1.016 | −0.249 (−0.581, 0.084) | NS** | 1.014 | 0.005 (−0.335, 0.344) | NS** | 1.016 |
| Educational status | 0.104 (0.048, 0.16) | <0.001 | 1.837 | 0.109 (0.055, 0.162) | <0.001 | 1.374 | 0.073 (0.015, 0.131) | 0.014 | 1.581 |
| Employment | 0.001 (−0.026, 0.028) | NS** | 1.161 | 0.015 (−0.014, 0.045) | NS** | 1.132 | 0.011 (−0.019, 0.041) | NS** | 1.133 |
| Income status | 0.126 (0.005, 0.247) | 0.041 | 1.573 | 0.08 (−0.054, 0.214) | NS** | 1.625 | 0.159 (0.025, 0.293) | 0.020 | 1.568 |
Abbreviations: VIF, variance inflation factor; NS**, not significant.