| Literature DB >> 32408528 |
Khezar Hayat1,2,3,4, Meagen Rosenthal5, Sen Xu1,2,3, Muhammad Arshed6, Pengchao Li1,2,3, Panpan Zhai1,2,3, Gebrehaweria Kassa Desalegn1,2,3, Yu Fang1,2,3.
Abstract
BACKGROUND: Coronavirus disease (COVID-19) is a deadly disease that is affecting most of the countries worldwide. Public understanding, including knowledge about signs and symptoms, mode of transmission, and hygiene of COVID-19, is vital for designing effective control strategies during a public health crisis. The current study is aimed at investigating the public's perspective about COVID-19, including their knowledge, attitude, and practices.Entities:
Keywords: COVID-19; Pakistan; coronavirus; infection; knowledge
Mesh:
Year: 2020 PMID: 32408528 PMCID: PMC7277197 DOI: 10.3390/ijerph17103347
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Statistics of coronavirus (COVID-19) in Pakistan (as of 22 April 2020) [11].
| Province | Total Cases | Active Cases | Total Deaths | Total Recoveries |
|---|---|---|---|---|
| Azad Jammu and Kashmir | 51 | 28 | 0 | 23 |
| Balochistan | 495 | 322 | 6 | 167 |
| Gilgit-Baltistan | 290 | 89 | 3 | 198 |
| Islamabad | 194 | 165 | 3 | 26 |
| Khyber Pakhtunkhwa | 1345 | 930 | 80 | 335 |
| Punjab | 4328 | 3535 | 51 | 742 |
| Sindh | 3373 | 2639 | 69 | 665 |
| Total | 10,076 | 7708 | 212 | 2156 |
Demographic characteristics of the participants and the knowledge score (n = 1257).
| Variable | Frequency (n) | Percentage (%) | Median (IQR) | |
|---|---|---|---|---|
|
| ||||
| Male | 557 | 44.3 | 1.0 (0.00) | <0.001 |
| Female | 700 | 55.7 | 1.0 (0.00) | |
|
| ||||
| 16–29 | 928 | 73.8 | 1.0 (0.00) | <0.001 |
| ≥30 | 329 | 26.2 | 1.0 (0.00) | |
|
| ||||
| Single | 910 | 72.4 | 1.0 (0.00) | <0.001 |
| Married | 300 | 23.9 | 1.0 (0.00) | |
| Others ^ | 47 | 3.7 | 1.0 (1.00) | |
|
| ||||
| Matriculation or below | 87 | 6.9 | 1.0 (0.00) | |
| Higher secondary school | 154 | 12.3 | 1.0 (0.00) | |
| Bachelor degree | 544 | 43.3 | 1.0 (0.00) | |
| Master degree | 472 | 37.5 | 1.0 (0.00) | <0.001 |
|
| ||||
| Employed | 386 | 30.7 | 1.0 (0.00) | 0.011 |
| Unemployed | 180 | 14.3 | 1.0 (0.00) | |
| Student | 691 | 55.0 | 1.0 (0.00) | |
|
| ||||
| Punjab | 771 | 61.3 | 1.0 (0.00) | 0.033 |
| Sindh | 86 | 6.9 | 1.0 (0.00) | |
| KPK | 107 | 8.5 | 1.0 (0.00) | |
| Others ^^ | 293 | 23.3 | 1.0 (0.00) |
^ Others include widow, separated, and divorced; ^^ Others include Balochistan, and three territories, including Islamabad Capital Territory, Gilgit–Baltistan, Azad Jammu, and Kashmir.
Figure 1Knowledge score of the participants towards COVID-19.
Knowledge of the participants towards COVID-19 (n (%)).
| Question | Yes | No | Unclear | Correct Rate |
|---|---|---|---|---|
| The main clinical symptoms of COVID-19 are fever, fatigue, and dry cough. | 1121 (89.2) | 104 (8.3) | 32 (2.5) | 1121 (89.2) |
| Unlike the common cold, stuffy nose, runny nose, and sneezing are less common in persons infected with the COVID-19 virus. | 841 (66.9) | 271 (21.6) | 145 (11.5) | 841 (66.9) |
| There currently is no effective cure for COVID-19, but early symptomatic and supportive treatment can help most patients recover from the infection. | 1126 (89.6) | 74 (5.9) | 57 (4.5) | 1126 (89.6) |
| Not all persons with COVID-19 will develop severe cases. Only those who are elderly, have chronic illnesses, and are obese are more likely to be severe cases. | 998 (79.4) | 166 (13.2) | 93 (7.4) | 998 (79.4) |
| Persons with COVID-19 cannot infect the virus to others when a fever is not present. | 380 (30.2) | 687 (54.7) | 190 (15.1) | 687 (54.7) |
| The COVID-19 virus spreads via respiratory droplets of infected individuals. | 1038 (82.6) | 219 (17.4) | 117 (9.3) | 1038 (82.6) |
| Ordinary residents can wear general medical masks to prevent the infection by the COVID-19 virus. | 1022 (81.3) | 172 (13.7) | 63 (5.0) | 1022 (81.3) |
| It is not necessary for children and young adults to take measures to prevent the infection by the COVID-19 virus. | 427 (34.0) | 749 (59.6) | 81 (6.4) | 749 (59.6) |
| To prevent the infection by COVID-19, individuals should avoid going to crowded places such as train stations and avoid taking public transportations. | 1118 (88.9) | 85 (6.8) | 54 (4.3) | 1118 (88.9) |
| Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virus. | 1125 (89.5) | 66 (5.3) | 66 (5.3) | 1125 (89.5) |
| People who have contact with someone infected with the COVID-19 virus should be immediately isolated in a proper place. In general, the observation period is 14 days. | 1126 (89.6) | 64 (5.1) | 67 (5.3) | 1126 (89.6) |
Attitude of the participants about COVID-19 by demographics.
| Variables | Attitude Frequency (%) | ||||
|---|---|---|---|---|---|
| Controlling COVID-19 Successfully | Winning Confidence | ||||
| Variables | Agree | Disagree | Do not Know | Yes | No/Maybe |
|
| |||||
| Male | 418 (75.0) | 74 (13.3) | 65 (11.7) | 438 (78.6) | 119 (21.4) |
| Female | 512 (73.1) | 122 (17.4) | 66(9.4) | 530 (75.7) | 170 (24.3) |
|
| |||||
| 16–29 | 685 (73.8) | 142 (15.3) | 101 (10.9) | 727 (78.3) | 201 (21.7) |
| ≥30 | 245 (74.5) | 54 (16.4) | 30 (9.1) | 241 (73.3) | 88 (26.7) |
|
| |||||
| Married | 217 (72.3) | 50 (16.7) | 33 (11.0) | 224 (74.7) | 76 (25.3) |
| Single | 677 (74.4) | 137 (15.1) | 96 (10.5) | 710 (78.0) | 200 (22.0) |
| Others ^ | 36 (76.6) | 9 (19.1) | 2 (4.3) | 34 (72.3) | 13 (27.7) |
|
| |||||
| Matriculation or below | 66 (75.9) | 15 (17.2) | 6 (6.9) *** | 63 (72.4) | 24 (27.6) ** |
| Higher secondary school | 89 (57.8) | 38 (24.7) | 27 (17.5) | 100 (65.0) | 54 (35.0) |
| Bachelor degree | 397 (73.0) | 85 (15.7) | 62 (11.3) | 425 (78.1) | 119 (21.9) |
| Master degree | 378 (80.1) | 58 (12.3) | 36 (7.6) | 380 (80.5) | 92 (19.5) |
|
| |||||
| Employed | 294 (76.2) | 57 (14.8) | 35 (6.4) | 301 (78.0) | 85 (22.0) |
| Unemployed | 126 (70.0) | 27 (15.0) | 27 (15.0) | 131 (72.8) | 49 (27.2) |
| Student | 510 (73.8) | 112 (16.2) | 69 (10.0) | 536 (77.6) | 155 (22.4) |
|
| |||||
| Punjab | 545 (70.8) | 140 (18.1) | 86 (11.1) * | 600 (77.8) | 171 (22.8) |
| Sindh | 65 (76.6) | 11 (12.8) | 10 (11.6) | 65 (75.6) | 21 (24.4) |
| KPK | 87 (81.3) | 11 (10.3) | 9 (8.4) | 86 (80.4) | 21 (19.6) |
| Others ^^ | 233 (79.5) | 34 (11.6) | 26 (8.9) | 217 (76.1) | 76 (25.9) |
^ Others include widow, separated, and divorced; ^^ Others include Balochistan, and three territories, including Islamabad Capital Territory, Gilgit–Baltistan, Azad Jammu, and Kashmir. * p < 0.05; ** p < 0.01; *** p < 0.001.
Practices of the participants during the COVID-19 outbreak, by demographics.
| Variables | Practices n (%) | |||||
|---|---|---|---|---|---|---|
| Visit Crowdy Place | Wearing a Mask | Hand Washing | ||||
| Yes | No | Yes | No | Yes | No | |
|
| ||||||
| Male | 143 (25.7) | 414 (74.2) *** | 488 (87.6) | 69 (12.4) | 475 (85.3) | 82 (14.7) ** |
| Female | 82 (11.7) | 618 (88.3) | 591 (84.4) | 109 (15.6) | 632 (90.3) | 68 (9.7) |
|
| ||||||
| 16–29 | 121 (13.0) | 807 (87.0) *** | 800 (86.2) | 128 (13.8) | 816 (87.9) | 112 (12.1) |
| 30–49 | 104 (31.6) | 225 (68.4) | 279 (84.8) | 50 (15.2) | 291 (88.5) | 38 (11.5) |
|
| ||||||
| Married | 61 (20.3) | 239 (79.7) *** | 261 (87.0) | 39 (13.0) | 271 (90.3) | 29 (9.7) |
| Single | 138 (15.2) | 772 (84.8) | 780 (85.7) | 130 (14.3) | 796 (87.5) | 114 (12.5) |
| Others ^ | 26 (55.3) | 21 (44.7) | 38 (80.9) | 9 (19.1) | 40 (85.1) | 7 (14.9) |
|
| ||||||
| Matriculation or below | 42 (59.8) | 45 (51.7) *** | 75 (86.2) | 12 (13.8) *** | 78 (89.7) | 9 (10.3) *** |
| Higher secondary school | 42 (27.3) | 112 (72.7) | 112 (72.7) | 42 (27.3) | 114 (74.0) | 40 (26.0) |
| Bachelor degree | 80 (14.7) | 464 (85.3) | 480 (88.2) | 64 (11.8) | 486 (89.3) | 58 (10.7) |
| Master degree | 61 (12.9) | 411 (87.1) | 412 (87.3) | 60 (12.7) | 429 (90.9) | 43 (9.1) |
|
| ||||||
| Employed | 91 (23.6) | 295 (76.4) ** | 331 (85.8) | 55 (14.2) | 345 (89.4) | 41 (10.6) |
| Unemployed | 30 (16.7) | 150 (83.3) | 158 (87.8) | 22 (12.2) | 163 (90.6) | 17 (9.4) |
| Student | 104 (15.1) | 587 (84.9) | 590 (85.4) | 101 (14.6) | 599 (86.7) | 92 (13.3) |
|
| ||||||
| Punjab | 63 (8.2) | 708 (91.8) *** | 647 (83.9) | 124 (16.1) * | 668 (86.6) | 103 (13.4) |
| Sindh | 26 (30.2) | 60 (69.8) | 73 (84.9) | 13 (15.1) | 76 (88.4) | 10 (11.6) |
| KPK | 27 (25.2) | 80 (74.8) | 94 (87.9) | 13 (12.1) | 97 (90.7) | 10 (9.3) |
| Others ^^ | 109 (37.2) | 184 (62.8) | 265 (90.4) | 28 (9.6) | 266 (90.8) | 27 (9.2) |
^ Others include widow, separated, and divorced; ^^ Others include Balochistan, and three territories, including Islamabad Capital Territory, Gilgit–Baltistan, Azad Jammu, and Kashmir. * p < 0.05; ** p < 0.01; *** p < 0.001.
Predictors of poor practices (going to a crowded place) towards COVID-19.
| Variable | OR (95% CI) | |
|---|---|---|
|
| ||
| Gender (Male vs. female) | 0.384 (0.285–0.518) | <0.001 |
| Age group (16–29 vs. ≥30 years) | 3.083 (2.282–4.165) | <0.001 |
| Marital status (single vs. others | 0.206 (0.109–0.391) | <0.001 |
| Marital status (married vs. others | 0.144 (0.079–0.264) | <0.001 |
| Education (matriculation or below vs. master degree) | 6.289 (3.817–10.359) | <0.001 |
| Education (higher secondary school vs. master degree) | 2.527 (1.619–3.943) | <0.001 |
| Occupation (employed vs. students) | 1.741 (1.272–2.384) | 0.001 |
| Residence (Punjab vs. others ^) | 0.150 (0.106–0.213) | <0.001 |
| Residence (KPK vs. others ^) | 0.570 (0.347–0.936) | 0.026 |
^ Others include widow, separated, and divorced; ^^ Others include Balochistan, and three territories, including Islamabad Capital Territory, Gilgit–Baltistan, Azad Jammu, and Kashmir.