A research study to understand the impact of pandemic on healthcare workers

References

• Asmundson, G. J. & Taylor, S. (2020). Coronaphobia: Fear and the 2019-nCoV outbreak. Journal of Anxiety Disorders, 70, 102196. doi: 10.1016/j.janxdis.2020.102196
   PubMed Web of Science ®Google Scholar
• Ayanian, J. Z. (2020, April). Mental health needs of health care workers providing frontline COVID-19 care. In JAMA Health Forum (Vol. 1, No. 4, pp. e200397-e200397). American Medical Association.
   Google Scholar
• Caseiro, M. M., Mazzurana, M., Barreiro, B., Barbosa, E. C. & Barbosa, A. P. (2020). Positivity of SARS-CoV-2, by RT-PCR among workers of a Public Hospital in the city of Santos, SP, Brazil 2020.
   Google Scholar
• Edmonson, C., Marshall, J. & Gogek, J. Creating a Healthier Workplace Environment in an Era of Rising Workforce Pressures. Nursing Administration Quarterly, 45(1), 52-57. doi: 10.1097/NAQ.0000000000000448
   PubMedGoogle Scholar
• Emanuel, E. J., Persad, G., Upshur, R., Thome, B., Parker, M., Glickman, A. & Phillips, J. P. (2020). Fair allocation of scarce medical resources in the time of Covid-19.
   Google Scholar
• Grasselli, G., Pesenti, A. & Cecconi, M. (2020). Critical care utilization for the COVID-19 outbreak in Lombardy, Italy: Early experience and forecast during an emergency response. Jama, 323(16), 1545-1546. doi: 10.1001/jama.2020.4031
   PubMed Web of Science ®Google Scholar
• Greenberg, N. (2020). Mental health of health-care workers in the COVID-19 era. Nature Reviews Nephrology, 1-2.
   PubMed Web of Science ®Google Scholar
• Giannis, D., Ziogas, I. A. & Gianni, P. (2020). Coagulation disorders in coronavirus infected patients: COVID-19, SARS-CoV-1, MERS-CoV and lessons from the past. Journal of Clinical Virology, 127, 104362. doi: 10.1016/j.jcv.2020.104362
   PubMed Web of Science ®Google Scholar
• Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N. & Wu, J. (2020). Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Network Open. 2020; 3 (3).
   Google Scholar
• Muller, R. A. E., Stensland, R. S. Ø. & van de Velde, R. S. (2020). The mental health impact of the covid-19 pandemic on healthcare workers, and interventions to help them: A rapid systematic review. Psychiatry research, 113441.
   Google Scholar
• Natasha, S., Mansoor, A. D. & Junaid, R. (2020). Physical and mental health impacts of COVID-19 on healthcare workers: A scoping review. International Journal of Emergency Medicine (Online), 13(1). doi: 10.1186/s12245-020-0262-7
   PubMed Web of Science ®Google Scholar
• Nguyen, L. H., Drew, D. A., Graham, M. S., Joshi, A. D., Guo, C. G., Ma, W. & Chan, A. T. (2020). Consortium, COPE. Risk of COVID-19 among front-line health-care workers and the general community: A prospective cohort study. Lancet Public Health, 5(9), e475-83. doi: 10.1016/S2468-2667(20)30164-X
   PubMed Web of Science ®Google Scholar
• Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C. & Agha, R. (2020). The socio-economic implications of the coronavirus and COVID-19 pandemic: A review. International Journal of Surgery.
   Web of Science ®Google Scholar
• Pandey, A. K., Malik, G., Saproo, S. & Bansal, S. (2017). Medical Error in Health Care: A Sleeping Giant. Indian Journal of Public Health Research & Development, 8(3). Grade, M. (2021). Human resources management and leadership in surgery. Chirurg, 227-231 doi: 10.5958/0976-5506.2017.00152.8
   Google Scholar
• Ranney, M. L., Griffeth, V. & Jha, A. K. (2020). Critical supply shortages—the need for ventilators and personal protective equipment during the Covid-19 pandemic. New England Journal of Medicine, 382(18), e41. doi: 10.1056/NEJMp2006141
   PubMed Web of Science ®Google Scholar
• Reeder, B., Meyer, E., Lazar, A., Chaudhuri, S., Thompson, H. J. & Demiris, G. (2013). Framing the evidence for health smart homes and home-based consumer health technologies as a public health intervention for independent aging: A systematic review. International Journal of Medical.
   Google Scholar
• Tan, A. C., Ashley, D. M. & Khasraw, M. (2020). Adapting to a pandemic—conducting oncology trials during the SARS-CoV-2 pandemic. Clinical Cancer Research, 26(13), 3100-3103. doi: 10.1158/1078-0432.CCR-20-1364
   PubMed Web of Science ®Google Scholar
• Taylor, S., Landry, C. A., Rachor, G. S., Paluszek, M. M. & Asmundson, G. J. (2020). Fear and avoidance of healthcare workers: An important, under-recognized form of stigmatization during the COVID-19 pandemic. Journal of Anxiety Disorders, 75, 102289. doi: 10.1016/j.janxdis.2020.102289
   PubMed Web of Science ®Google Scholar
• Tsamakis, K. & Rizos, E. (2020). J Manolis A, Chaidou S, Kympouropoulos S, Spartalis E, et al. COVID-19 pandemic and its impact on mental health of healthcare professionals. Exp Ther Med, 19(6), 3451-3.
   PubMed Web of Science ®Google Scholar
• Wang, J., Zhou, M. & Liu, F. (2020). Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China. J Hosp infect, 105(1). doi: 10.1016/j.jhin.2020.03.012
   PubMed Web of Science ®Google Scholar
• Whaley, B. (2017). Scholarly Interview with Bryan Whaley, Ph.D. from University of San Francisco on Health Communication and Messaging. San Francisco: Master in communications.
   Google Scholar
• Anuradhi Welhenge (2022) Deep learning based breast cancer detection system using fog computing, Journal of Discrete Mathematical Sciences and Cryptography, 25:3, 661-669. doi: 10.1080/09720529.2021.2014130
   Web of Science ®Google Scholar
• A.M. Rahmani, T.N. Gia, B. Negash, A. Anzanpour, I. Azimi, M. Jiang, and P. Liljeberg, (2021) “Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach”, Future Generation Computer Systems, 78, pp. 641–658, 2018.
   Google Scholar
• Vijander Singh, Ramesh Chandra Poonia, Sandeep Kumar, Pranav Dass, Pankaj Agarwal, Vaibhav Bhatnagar & Linesh Raja (2020) Prediction of COVID-19 corona virus pandemic based on time series data using support vector machine, Journal of Discrete Mathematical Sciences and Cryptography, DOI: 10.1080/09720529.2020.1784535.
   Web of Science ®Google Scholar
• Vaibhav Bhatnagar, Ramesh Chandra Poonia, Pankaj Nagar, Sandeep Kumar, Vijander Singh, Linesh Raja & Pranav Dass (2021) Descriptive analysis of COVID-19 patients in the context of India, Journal of Interdisciplinary Mathematics, 24:3, 489-504, DOI: 10.1080/09720502.2020.1761635.
   Web of Science ®Google Scholar