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► Journal BrowserSpecial Issue "Global Health Workforce Resilience during COVID-19 Pandemic"
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Coronaviruses (CoV) and COVID-19 Pandemic".
Deadline for manuscript submissions: 30 November 2023 | Viewed by 923
Special Issue Editor
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
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
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
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
