Women's Knowledge, Attitude, and Perceptions Toward Covid-19 in Lower-Middle-Income Countries
A Representative Cross-Sectional Study in Bangladesh
Bibliographic Data
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 1869 adults from 61 districts of Bangladesh took part in this study. 97% 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
Cross-sectional study · Developing country · Disease · Economic growth · Environmental health · Pandemic · Perception · Political science · Population · Preparedness · Socioeconomic status · COVID-19 and Mental Health · COVID-19 epidemiological studies · Demography · Medicine · Psychology · Vaccine Coverage and Hesitancy · Gerontology
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| Citations per year | 1 |
|---|---|
| Citation span | 2021 - 2024 (4) |
| Highly cited | No |