Background: This year January 2020. The pandemic of the Covid-19 pandemic has created anxiety among every woman in the society, including all women Due to an increase in age and associated conditions who are considered to be at a greater risk of infectious diseases. This study aimed to examine COVID -19 related risk perceptions, knowledge, and information sources among perimenopausal and postmenopausal women in the Aurangabad in Maharashtra. Methods: A cross-sectional survey design was selected and a four-section questionnaire was used. In this study, only social media platform was used. The study sample was 155 perimenopausal women. Results: The Participants perceived their risk of COVID -19 due to their age and other disease conditions. The participants demonstrated less knowledge about COVID- 19. The five major sources from which they obtained information about Covid-19 were the television, newspapers, health professionals, the internet, and family and friends. Participants placed a high level of confidence in these sources. There was no significant relationship between the perceived risk of contracting Covid-19 and knowledge about the disease. Conclusions: Social media is an important source of information about Covid-19 for the participants. Participants were had less knowledge about Covid-19. The result of the study gives valuable insight to healthcare professionals, includes nurses and midwives who serve on the frontline and provide care to perimenopausal and postmenopausal women.
Cite this article:
Vishranti Bhagwan Giri. The Outbreak of Pandemic COVID-19 disease in Aurangabad: Risk Perceptions, Knowledge and Information sources among Perimenopausal and Postmenopausal women. International Journal of Nursing Education and Research. 2021; 9(3):294-6. doi: 10.52711/2454-2660.2021.00069
Vishranti Bhagwan Giri. The Outbreak of Pandemic COVID-19 disease in Aurangabad: Risk Perceptions, Knowledge and Information sources among Perimenopausal and Postmenopausal women. International Journal of Nursing Education and Research. 2021; 9(3):294-6. doi: 10.52711/2454-2660.2021.00069 Available on: https://ijneronline.com/AbstractView.aspx?PID=2021-9-3-11
1. B. Mc Closkey, D.L. Heymann, SARS to novel coronavirus – old lessons and new lessons, Epidemiol. Infect. 5 (148) (2020) e22. doi:http://dx.doi.org/10.1017/S0950268820000254
2. Y. Qi, L.H. Chen, L. Zhang, Y.Y. Yang, S.Y. Zhan, C.X. Fu, Public practice, attitude and knowledge of novel coronavirus–Infected pneumonia, J. Trop. Med.
3. Chuang, COVID-19: Seeking Reliable Information Amid Uncertainty, Elsevier,2020 https://www.elsevier.com/connect/coronavirus-information-center.
4. The Conversation, #COVID19: Social Media Both A Blessing and A Curse During Coronavirus Pandemic, (2020) https://theconversation.com/covid19-socialmedia-both-a-blessing-and-a-curse-during-coronavirus-pandemic-133596.
5. A.N. Plaster, J.E. Painter, D.H. Tjersland, K.H. Jacobsen, University students’ knowledge, attitudes, and sources of information about Zika virus, J. Commun. Health 43 (4) (2018) 647–655, DOI:http://dx.doi.org/10.1007/s10900-017- 0463-z.
6. G. Kok, R. Jonkers, R. Gelissen, R. Meertens, H. Schaalma, O. de Zwart, Behavioural intentions in response to an influenza pandemic, BMC Public Health 10 (1) (2010) 174, doi:http://dx.doi.org/10.1186/1471-2458-10-174.
7. W. van der Weerd, D.R.M. Timmermans, D.J.M.A. Beaujean, J. Oudhoff, J.E. van Steenbergen, Monitoring the level of government trust, risk perception and intention of the general public to adopt protective measures during the influenza A (H1N1) pandemic in the Netherlands, BMC Public Health 11 (1) (2011) 575, doi:http://dx.doi.org/10.1186/1471-2458-11-575.
8. R.J. Limaye, M. Sauer, J. Ali, J. Bernstein, B. Wahl, A. Barnhill, A. Labrique, Building trust while influencing online COVID-19 content in the social media world, Lancet Digital Health (2020), doi:http://dx.doi.org/10.1016/S2589-7500 (20)30084-4.
9. Statistics, Distribution of WeChat Users in China As of February 2019, By Age, (2020) https://www.statista.com/statistics/387658/wechat-china-user-age/.
10. A. Bylund, Why Weibo Shares Dropped 13% Last Month, (2020) https://www. fool.com/investing/2019/12/03/why-weibo-shares-dropped-13-last-month. asp.
11. Lee TY, Zhong Y, Zhou J, He X, Kong R, Ji J. The outbreak of coronavirus disease in China: Risk perceptions, knowledge, and information sources among prenatal and postnatal women [published online ahead of print, 2020 May 29]. Women Birth. 2020; S1871-5192(20)30249-3. DOI:10.1016/j.wombi.2020.05.010