| Literature DB >> 33313035 |
Saeed Anwar1, Yusha Araf2, Asir Newaz Khan3, Md Asad Ullah4, Nur Hoque5, Bishajit Sarkar4, Riyan Al Islam Reshad2, Rahatul Islam2, Nurshad Ali6, Mohammad Jakir Hosen2.
Abstract
The coronavirus disease 2019 (COVID-19) is a global health emergency of unprecedented proportions. Countries around the world have taken extraordinary steps to control the disease. The preventive measures face challenges in low and lower middle income countries (LICs and LMICs). Especially the marginalized communities, e.g., women are the hardest hit of the virus. This study took Bangladesh as a representative LMIC and aimed to determine the level of knowledge, perception, attitude, and preparedness related to COVID-19 among the adult women in the country. Using a comprehensive questionnaire, we channeled a cross-sectional study among adult women in Bangladesh. Participant's self-reported data on the knowledge, attitude, and preparedness were tabulated and analyzed using suitable statistical tools. A total of 1,869 adults from 61 districts of Bangladesh took part in this study. Ninety seven percentage of the participants claimed to have heard of COVID-19 before it arrived in Bangladesh. Regarding the general knowledge related to COVID-19's causal agent, symptoms, and treatment, the positive response rate was nearly 80%, with a mean of 10.68 ± 1.72. Younger and educated women had better knowledge levels compared to the older and lower-educated participants (p < 0.01). More efforts are required to educate women with older age and lower socioeconomic status. An overall positive attitude and perception were observed, although a significant proportion of the participants opined that the Government's efforts in controlling the outbreak were not adequate. Although the participants had a satisfactory level of knowledge and a positive attitude in adopting preventive measures against COVID-19, greater efforts are needed from the healthcare authorities and Government.Entities:
Keywords: COVID-19; SARS-CoV-2; attitude; awareness; health literacy; knowledge; preparedness; women
Year: 2020 PMID: 33313035 PMCID: PMC7707120 DOI: 10.3389/fpubh.2020.571689
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Sociodemographic characteristics of participants.
| Age (years) | 29.545 ± 12.009 |
| Single | 801, 42.86 |
| Married | 727, 38.90 |
| Ever married | 341, 18.24 |
| No schooling | 88, 4.71 |
| Primary | 240, 18.84 |
| Secondary | 508, 27.18 |
| Higher secondary | 632, 33.81 |
| University/college | 325, 17.39 |
| Other | 76, 4.07 |
| Unemployed/retired | 294, 15.73 |
| Student | 611, 32.69 |
| Self-employed | 43, 2.30 |
| Business | 102, 5.45 |
| Maidservants/household helping hands | 146, 7.81 |
| Service holder in a Government organization | 105, 5.61 |
| Service holder in a non-government/private organization | 157, 8.40 |
| Housewives (not involved in earning) | 411, 21.99 |
| Islam | 1,614, 86.35 |
| Hindu | 214, 11.44 |
| Buddhist | 27, 1.44 |
| Christian | 05, 0.27 |
| Prefer not to say | 09, 0.48 |
| Bengali | 1,848, 98.88 |
| First nations/tribal | 21, 1.12 |
Women's knowledge related to COVID-19.
| Knows about contagious diseases | 1,616, 86.46 | 178, 9.52 | 75, 4.01 |
| Knows about viral flus | 1,573, 84.16 | 231, 12.36 | 65, 3.48 |
| Has idea about the general flu protocol of WHO | 1,248, 66.77 | 450, 24.08 | 171, 9.15 |
| Knows what causes (causal agent) COVID-19 | 1,529, 81.81 | 256, 13.7 | 84, 4.49 |
| Knows that COVID-19 is a contagious disease | 1,424, 76.19 | 331, 17.71 | 114, 6.1 |
| Knows about the mode of transmission of COVID-19 | 1,506, 80.58 | 265, 14.18 | 98, 5.24 |
| Knows about the symptoms of COVID-19 | 1,440, 77.05 | 315, 16.85 | 114, 6.1 |
| Knows about the unavailability of COVID-19 treatments | 1,501, 80.31 | 267, 14.29 | 101, 5.4 |
| Knows who are the vulnerable group to COVID-19 | 1,488, 79.61 | 276, 14.77 | 105, 5.62 |
| Knows what quarantine means | 1,392, 74.48 | 359, 19.21 | 118, 6.31 |
| Knows what social distancing means | 1,424, 76.2 | 332, 17.76 | 113, 6.04 |
| Overall response rate (mean ± SD) | 78.51 ± 5.06 | 15.86 ± 3.7 | 5.63 ± 1.42 |
Perceptions of the women about COVID-19.
| I fear COVID-19 | 1,510, 83.29 | 179, 9.87 | 124, 6.84 |
| I am scared because my family have older (>60 yrs) adults (including me) | 953, 52.56 | 261, 14.4 | 599, 33.0 |
| COVID-19 is like the common-flus | 1,316, 72.58 | 348, 19.19 | 149, 8.22 |
| COVID-19 is a dangerous public health threat | 1,368, 75.46 | 249, 13.73 | 196, 10.81 |
| I am satisfied with Bangladesh's efforts to tackle the pandemic | 849, 46.83 | 760, 41.92 | 204, 11.25 |
| COVID-19 arrived in Bangladesh by people coming from abroad | 1,227, 67.68 | 311, 17.15 | 275, 15.17 |
| COVID-19 is a religious curse | 459, 25.32 | 1090, 60.12 | 264, 14.56 |
| Aggressive screening would help the management of COVID-19 | 1,556, 85.82 | 158, 8.71 | 99, 5.46 |
| Bangladesh have enough facilities for screening COVID-19 | 683, 37.67 | 743, 40.98 | 387, 21.35 |
| People around you are aware of the current situation | 726, 40.04 | 928, 51.19 | 159, 8.77 |
| Bangladesh have enough ventilation facilities to help critical patients | 629, 34.69 | 853, 47.05 | 331, 18.26 |
| Timely measures by the Government could help reduce the spread of COVID-19 in Bangladesh | 771, 42.53 | 713, 39.33 | 329, 18.15 |
| The government should subsidize for treatment of COVID-19 | 1,585, 87.42 | 129, 7.16 | 99, 5.46 |
| Bangladeshi doctors and nurses are trained to treat COVID-19 patients | 631, 34.80 | 826, 45.56 | 356, 19.64 |
| The mosques and religious congregations should remain discontinued | 845, 46.61 | 742, 40.93 | 226, 12.47 |
| Bangladesh is economically able to tackle COVID-19 challenge | 507, 27.96 | 1193, 65.80 | 113, 6.23 |
| COVID-19 pandemic may cause a food crisis in the country | 852, 46.99 | 813, 44.84 | 148, 8.16 |
| Hand sanitizers, hand soaps, and masks should be available freely | 1,127, 62.16 | 556, 30.67 | 130, 7.17 |
| Bangladeshi doctors have enough personal protective equipment | 919, 50.69 | 771, 42.53 | 123, 6.78 |
| The pandemic will severely hamper the education system | 1,316, 72.59 | 354, 19.58 | 142, 7.83 |
| COVID-19 will cause devastating fatality in Bangladesh | 841, 46.39 | 631, 34.80 | 341, 18.81 |
| Media coverage about this disease is exaggerated | 848, 46.77 | 649, 35.8 | 316, 17.43 |
| The government is transparent on COVID-19 information in Bangladesh | 609, 33.59 | 978, 53.94 | 226, 12.47 |
| Bangladesh is dependent on foreign grants for controlling COVID-19 | 763, 42.08 | 825, 45.5 | 225, 12.41 |
| Bangladesh will collapse due to COVID-19 pandemic | 786, 43.35 | 753, 41.53 | 274, 15.11 |
Figure 1Womens preparedness related to COVID-19.
Factors affecting the knowledge score of women.
| 18–30 | 10.89 ± 1.75 | < 0.001 |
| 31–40 | 10.8 ± 1.64 | |
| 41–50 | 10.82 ± 1.76 | |
| 51–60 | 9.7 ± 1.6 | |
| >60 | 9.95 ± 1.99 | |
| High school or below | 10.61 ± 1.71 | 0.001 |
| College/university or above | 10.93 ± 1.74 | |
| Single | 10.77 ± 1.7 | |
| Married | 10.62 ± 1.78 | |
| Ever married | 10.59 ± 1.63 | |
| Urban | 10.87 ± 1.65 | <0.001 |
| Rural | 10.01 ± 1.79 | |
| Slum | 9.68 ± 1.7 | |
| Student | 11.01 ± 1.8 | 0.1249 |
| Involved in active earning | 10.86 ± 1.5 | |
| Unemployed/retired and housewives | 10.56 ± 1.82 | 0.0018 |
SD, standard deviation.