Special Issue "Global Health Workforce Resilience during COVID-19 Pandemic"
Deadline for manuscript submissions: 30 November 2023 | Viewed by 923
2. Education Committee, Center for Intelligent Health Care, University of Nebraska Medical Center, Omaha, NE 68198-5506, USA
3. Visiting Professor, Department of Informatics, School of Economics and Management, Lund University, SE-22363 Lund, Sweden
Interests: complex systems; social networks; evolutionary systems; information flow; self organisation; bio-security; epidemics and public health interventions
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Goal: The COVID-19 pandemic presents us with significant challenges which are bio-psycho-social dealing with not only the vaccine, treatment and contact tracing protocol, consistent and coherent messaging to population about safety, but also supporting the resilience of healthcare workforce for effective and efficient functioning in delivering healthcare outcomes for diverse affected population. Health officials don't have enough information to make informed decisions regarding the mental and psychological welfare of frontline health workforce during major catastrophic events. In order to support the frontline healthcare workforce, real-time data which is available in different social media platforms in which healthcare workers often voice their professional and personal concern is not reaching the appropriate channels forcing public health administrators to make uninformed decisions due to a lack of knowledge and poor communication across local, state, and national agencies. The development of a real-time social resilience data platform in capturing health workforce psycho-social challenges and further creation of an analytical toolkit for analyzing health workforce psychology will enable us to develop computational models for health workforce resilience as an analytical and predictive tool for exploring the coping ability of health care system workers who are impacted by the present COVID-19 pandemic.
Prof. Dr. Liaquat Hossain
Manuscript Submission Information
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