| Literature DB >> 34869191 |
Atta Ur Rehman1, Rubeena Zakar1, Muhammad Zakria Zakar2, Ume Hani3, Kamil J Wrona4, Florian Fischer5,6.
Abstract
Medical preparedness and community education are the most valuable preventive tools for combatting the COVID-19 pandemic. This study aims to assess the role of media public health awareness campaigns on the knowledge of the general population about COVID-19 in Rawalpindi, Pakistan. A quantitative study using a pre-post design among 384 respondents was conducted. A structured questionnaire was administered to the participants twice: The first response (t 1) from participants was filled in during the 1st week in February 2020 before any confirmed cases were reported in the country, and the second response (t 2) was completed 1 month after the first case detection in Pakistan (March 2020). Media health awareness campaigns were launched just after the detection of the first case in Pakistan. Exposure to the media and knowledge relating to COVID-19 increased over time. Whereas, only a quarter of respondents judged the isolation of suspected cases in quarantine to be important to prevent the spread of infection in society at t 1, more than half did so at t 2. Socio-demographic characteristics were not significantly associated with knowledge (gains). However, more frequent use of electronic media is associated with greater knowledge gains from t 1 to t 2. The findings of this study provide evidence that awareness and knowledge related to COVID-19 symptoms and preventive measures increased significantly over time. The increased frequency of following the media indicates that health awareness campaigns are important for enhancing the knowledge of the general public regarding COVID-19.Entities:
Keywords: SARS-CoV-2; community education; electronic media; health communication; health education
Mesh:
Year: 2021 PMID: 34869191 PMCID: PMC8632810 DOI: 10.3389/fpubh.2021.779090
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Sociodemographic characteristics of respondents (n = 384).
|
|
|
|---|---|
|
| |
| 16–30 | 59 (15.4) |
| 31–45 | 62 (16.1) |
| 46–60 | 178 (46.4) |
| 61–75 | 85 (22.1) |
|
| |
| Male | 308 (80.2) |
| Female | 76 (19.8) |
|
| |
| Currently married | 263 (68.5) |
| Currently not married | 121 (31.5) |
|
| |
| Urban | 200 (52.2) |
| Rural | 184 (47.8) |
|
| |
| <11 years of education | 96 (25.0) |
| 11-12 years of education | 145 (37.8) |
| 13–14 years of education | 96 (25.0) |
| 15–16 years of education | 28 (7.3) |
| >16 years of education | 19 (4.9) |
|
| |
| <25,000 | 104 (27.1) |
| 25,000–50,000 | 126 (32.9) |
| 50,001–75,000 | 112 (29.1) |
| 75,001–100,000 | 34 (8.9) |
| >100,000 | 8 (2.0) |
1 US Dollar = 166.65 Pakistani rupees.
Frequency of media use before (t1) and after (t2) the first reported case of COVID-19 (n = 384).
|
|
|
| ||||
|---|---|---|---|---|---|---|
|
|
| |||||
|
|
|
|
|
|
| |
| Social media (e.g., Facebook, WhatsApp) | 177 (46.1) | 99 (25.8) | 108 (28.1) | 210 (54.7) | 95 (24.7) | 79 (20.6) |
| Electronic media (e.g., television) | 240 (62.5) | 72 (18.8) | 72 (18.8) | 273 (71.7) | 59 (15.4) | 52 (13.5) |
| Print media (e.g., newspaper, magazine) | 150 (39.1) | 61 (15.9) | 173 (45.1) | 97 (25.3) | 40 (10.4) | 247 (64.3) |
Correct knowledge related to COVID-19 in February (t1) and March (t2) 2020 (n = 384).
|
|
|
|
|---|---|---|
|
|
| |
|
| ||
| Coronavirus is a contagious viral disease | 144 (37.5) | 199 (51.8) |
| Coronavirus spreads via droplet infection | 112 (29.2) | 163 (42.4) |
| Coronavirus spreads through coughing and sneezing of the infected person | 141 (36.7) | 243 (63.3) |
| Coronavirus treatment is only supportive | 87 (22.7) | 198 (51.6) |
| Coronavirus vaccine is available ( | 325 (84.6) | 382 (99.5) |
|
| ||
| Fever | 105 (27.3) | 263 (68.5) |
| Cough | 81 (21.2) | 249 (64.8) |
| Body aches | 133 (34.6) | 262 (68.2) |
| Shortness of breath | 105 (27.3) | 259 (67.4) |
|
| ||
| Pneumonia | 76 (19.8) | 94 (24.5) |
| Organ failure | 85 (22.1) | 126 (32.8) |
|
| ||
| Frequent handwashing with soap for 20 s | 123 (32.0) | 328 (85.4) |
| Following cough and sneeze etiquette | 158 (41.4) | 216 (56.3) |
| Avoid social contact with sick people | 109 (28.4) | 213 (55.5) |
| Use of face mask | 130 (33.9) | 203 (52.9) |
| Use of sanitizer | 139 (36.2) | 253 (65.9) |
| Isolation of suspected cases | 109 (28.4) | 205 (53.4) |
|
| ||
| Lockdown helped people in following social distancing | 106 (27.6) | 225 (58.6) |
| Lockdown helped in protecting people from the spread of infection | 93 (24.2) | 211 (54.9) |
Knowledge related to COVID-19 in February (t1) compared to March (t2) 2020 (n = 384).
|
|
|
|
|
|
|
|---|---|---|---|---|---|
| Coronavirus general awareness (5 items) |
| 2.11 | 1.43 | 0.97 | <0.001 |
|
| 3.08 | 1.49 | |||
| Symptoms of COVID-19 (6 items) |
| 1.52 | 2.20 | 1.74 | <0.001 |
|
| 3.26 | 1.49 | |||
| Preventive measures to be adopted (8 items) |
| 2.53 | 2.69 | 2.30 | <0.001 |
|
| 4.83 | 1.71 | |||
| Total (19 items) |
| 6.16 | 5.80 | 5.02 | <0.001 |
|
| 11.18 | 3.71 |
Factors associated with knowledge (gains) related to COVID-19 (n = 384).
|
|
| ||||||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
|
| |
| Age | −0.327 | −1.056 | 0.292 | −0.108 | −0.553 | 0.581 | 0.164 | 1.016 | 0.310 |
| Gender | 1.021 | 1.365 | 0.173 | 0.639 | 1.351 | 0.178 | −0.482 | −1.234 | 0.218 |
| Residence | −0.842 | −1.413 | 0.158 | −0.722 | −1.905 | 0.058 | 0.067 | 0.214 | 0.830 |
| Education | 0.263 | 0.375 | 0.708 | 0.335 | 0.756 | 0.450 | 0.032 | 0.088 | 0.930 |
| Income | −0.186 | −0.570 | 0.569 | −0.465 | −2.210 | 0.028 | −0.293 | −1.687 | 0.093 |
| Social media | −0.305 | −0.869 | 0.385 | −0.037 | −0.158 | 0.875 | 0.042 | 0.214 | 0.831 |
| Electronic media | −0.961 | −2.462 | 0.014 | −0.575 | −2.156 | 0.032 | 0.522 | 2.373 | 0.018 |
| Print media | 0.340 | 1.025 | 0.306 | 0.013 | 0.058 | 0.954 | −0.156 | −0.861 | 0.390 |
|
| 9.486 | 4.122 | <0.001 | 13.915 | 9.184 | <0.001 | 4.474 | 3.577 | <0.001 |
| R2 | 0.036 | 0.045 | 0.035 | ||||||
Relationship between gender, residence and information related to COVID-19 (n = 384).
|
|
|
|
|
|
|
|
|
|---|---|---|---|---|---|---|---|
|
| |||||||
| Male | Having knowledge | 34.4% | 0.00 | 0.97 | 43.5% | 0.00 | 0.98 |
| Not having knowledge | 65.6% | 56.5% | |||||
| Female | Having knowledge | 34.2% | 43.4% | ||||
| Not having knowledge | 65.8% | 56.6% | |||||
| Male | Having knowledge | 34.4% | 0.00 | 0.97 | 43.5% | 3.47 | 0.06 |
| Not having knowledge | 65.6% | 56.5% | |||||
| Female | Having knowledge | 34.2% | 43.4% | ||||
| Not having knowledge | 65.8% | 56.6% | |||||
| Male | Having knowledge | 27.6% | 4.90 | 0.04 | 53.2% | 0.25 | 0.61 |
| Not having knowledge | 72.4% | 46.8% | |||||
| Female | Having knowledge | 39.5% | 50.0% | ||||
| Not having knowledge | 60.5% | 50.0% | |||||
|
| |||||||
| Urban | Having knowledge | 37.0% | 1.27 | 0.25 | 46.0% | 1.07 | 0.30 |
| Not having knowledge | 63.0% | 54.0% | |||||
| Rural | Having knowledge | 31.5% | 40.8% | ||||
| Not having knowledge | 68.5% | 59.2% | |||||
| Urban | Having knowledge | 32.0% | 1.33 | 0.24 | 63.0% | 3.34 | 0.06 |
| Not having knowledge | 68.0% | 37.0% | |||||
| Rural | Having knowledge | 26.6% | 53.8% | ||||
| Not having knowledge | 73.4% | 46.2% | |||||
| Urban | Having knowledge | 35.0% | 5.07 | 0.02 | 54.5% | 0.60 | 0.43 |
| Not having knowledge | 65.0% | 45.5% | |||||
| Rural | Having knowledge | 24.5% | 50.5% | ||||
| Not having knowledge | 75.5% | 49.5% | |||||
|
| |||||||
| <11 years | Having knowledge | 26.0% | 1.91 | 0.75 | 36.5% | 15.5 | <0.01 |
| Not having knowledge | 74.0% | 63.5% | |||||
| 11-12 years | Having knowledge | 33.1% | 61.4% | ||||
| Not having knowledge | 66.9% | 38.6% | |||||
| 13-14 years | Having knowledge | 31.3% | 54.2% | ||||
| Not having knowledge | 68.8% | 45.8% | |||||
| 15-16 years | Having knowledge | 25.0% | 50.0% | ||||
| Not having knowledge | 75.0% | 50.0% | |||||
| >16 years | Having knowledge | 26.3% | 63.2% | ||||
| Not having knowledge | 73.7% | 36.8% | |||||
Indicates level of significance at 0.05.