The COVID-19 pandemic: A multi-regional cross-sectional survey of public knowledge, attitudes, and perceptions.
Ismail Ayoade OdetokunAhmad Ibrahim Al-MustaphaHager ElnadiDeepak SubediOluwaseun A OgundijoMuftau OyewoPublished in: PLOS global public health (2022)
With over twelve months since the start of the COVID-19 pandemic, its morbidity and mortality continue to be a critical health threat despite various instituted preventive and control efforts. Information on the multi-regional public perspective of the diseases is limited. Therefore, this study investigated public knowledge, attitudes, and practices towards COVID-19 across Sub-Saharan Africa (SSA), Middle East and North Africa (MENA), and South Asia (SA) regions of the world. In an online pretested questionnaire-based cross-sectional survey, respondents (n = 2738) were recruited using a convenience sampling technique and data obtained were subjected to descriptive and inferential statistics. The majority of respondents had bachelor's degrees or higher (91.1%) and were aged between 18 and 39 years (88%). Most of the respondents had satisfactory knowledge (73%, 15.4 ± 2.5), attitudes 76.8%, 7.1 ± 1.1, and perceptions (73.4%, 11±2.8). Participants with higher educational levels and scientific backgrounds were 1.71 times (95% CI: 1.44; 2.03; p < 0.001) more likely to have a better knowledge of COVID-19. Respondents from the SA region were significantly more likely (OR: 1.4; 95% CI: 1.16, 1.68; p < 0.001) to possess satisfactory knowledge of COVID-19. Meanwhile, respondents from the MENA region (OR: 7.81; 95% CI: 6.12, 9.97; p < 0.001) have better attitudes and are more optimistic about ending the pandemic than those from the SSA. Despite the satisfactory knowledge, attitudes, and perceptions towards the regional efforts observed, we emphasize continued adherence by the public to the health regulations and safety measures of countries in these regions. There is a need for the low and middle-income countries to improve awareness of COVID-19 preventive practices.
Keyphrases
- healthcare
- coronavirus disease
- sars cov
- mental health
- primary care
- health information
- public health
- emergency department
- respiratory syndrome coronavirus
- quality improvement
- metabolic syndrome
- type diabetes
- skeletal muscle
- cross sectional
- machine learning
- climate change
- big data
- insulin resistance
- data analysis
- nursing students
- tertiary care