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CfP: eHealth Technologies to Deal with COVID-19 Pandemic: Submit by Nov 30

CfP: eHealth Technologies to Deal with COVID-19 Pandemic: Submit by Nov 30

Call for papers
Call for papers
Introduction

This call aims to identify innovative health technologies and eHealth solutions which address global health concerns on COVID-19. and which are likely to be appropriate and affordable for use in low-resource settings. There is a need for immediate solutions to contain the spread of COVID-19 through information exchange and analysis.

Medical devices and further eHealth solutions are indispensable in health care delivery as tools for prevention, diagnosis, treatment and rehabilitation, to complex electronic medical record systems – are promising approaches in the use of information and communication technologies to support health systems and services. However, in case of a pandemic like COVID-19, too many people suffer because they don’t have access to the appropriate health technologies.

This call highlights the importance of these innovative technologies towards improved health system for current and any future Pandemic, to raise awareness of the pressing need for appropriate systems and design solutions, to encourage further development and technology dissemination.

This issue could serve as a knowledge collaboration platform for health technologies and eHealth solutions that have the potential offer a solution to many COVID-19 medical needs, focusing on showcasing innovative technologies that are not yet widely available in under-resourced regions.

Another purpose of this special issue is to address global health concerns, developing a framework for assessment, management, regulation, by scientific and commercial perspective to identify and develop innovative technologies. 

Objectives

This special issue will cover mainly the COVID-19 works which need to be available to researchers and academicians as soon as possible. It will include reviews and original works on the COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, and diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among various other topics.

It would seek out for theoretical, methodological, well-established and validated empirical work dealing with these different topics.

  • The title would cover comprehensive studies applying engineering, artificial intelligence, big data analytics, and information systems approaches to develop innovative solutions to control COVID-19 Pandemic. 
  • Further spotlight on reports analyzing data available through national health databases to identify potential spike of any epidemic or healthcare complication as well as propose effective protocols, using the intelligence gained via data, wearable devices collecting and sharing data for healthcare applications far beyond tracking footsteps and heart rates can be used for location data collection, flagging ill-health persons, geo-fencing possibly infected people to avoid the spread of a viral infection, analyze in standard protocols by machine intelligence looking for possible predictions to avoid breakdown of national healthcare systems in case of another pandemic or healthcare crisis.
Topics

Topics to be discussed in this special issue include (but are not limited to) the following:

  • Smart hospital for infectious diseases treatment
  • Health information exchange in the crisis of COVID-19 Pandemic 
  • Big data-driven health risk identification
  • Pattern recognition in epidemic risk analysis
  • IoT application in microbial risk and healthcare
  • Internet of medical things and telemedicine for COVID-19
  • Biomedical data communication and computing for COVID-19
  • COVID-19 outbreak modelling and disease network
  • Cloud/edge-based framework for health data analysis
  • Cost-effective healthcare services for COVID-19
  • AI-based technologies for E-health and epidemic network analysis
  • Machine learning and Deep learning for COVID-19 treatment,  and, outcome prediction
  • Security sharing of sensitive health data for COVID-19
  • Patient tracking and behavior modelling 
  • Issues and emerging trends in healthcare supply chain management and COVID-19
Submission Procedure
  • Researchers and practitioners are invited to submit papers for this special theme issue on [eHealth Technologies to deal with COVID-19 Pandemic] on or before [30 November 2020]. All submissions must be original and may not be under review by another publication.
  • The interested author should consult the journal’s guidelines for manuscript submission at this link.
  • All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.
Important Dates
  • Paper Submission: 30 November 2020
  • Authors 1st notification: 30 December 2020
  • Final notification: 31 January 2021
  • Camera ready deadline: 28 February 2021
Contact

E-mail: cchakrabarty@bitmesra.ac.in

For more details, click the link below.

eHealth Technologies to Deal with COVID-19 Pandemic

 

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