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Journal of Data, Information, and Management
Call for Paper for Special Issue on
Big Data Analytics and Artificial Intelligence to Combat a
Pandemic
The pandemic, COVID-19 has become a global public health
pandemics, causing hundreds of thousands of deaths and trillions
of dollars of economic damage. Scientists, researchers, doctors
and healthcare experts around the world are studying this pandemic
and its impacts on individuals, organizations and societies. While
there is no cure yet for the virus, contact tracing has become an
important part of the response to the covid-19 pandemic. This has
led to calls for new technologies such as machine learning and
artificial intelligence, capable of detecting, tracking, and
isolating Covid-19 cases, to slow the spread of the coronavirus.
This also includes performing predictive analytics on relational,
temporal and/or spatial data (medical encounter data, hospital
admission data, social media data, mobile apps data and others)
and use the insights from it to understand and monitor the
epidemic. Further, the impact of Covid-19 is not limited just to
the healthcare sector as all other sect
ors of any economy of the world are affected as well.
Therefore, due to the Covid-19 pandemic, the need to understand
different things in a new way has also created pressure to develop
analytical tools. In particular, research has been done on how the
virus spreads among the population and what health problems are
caused by viral infections, as well as how different treatment
measures affect the disease. Recently, however, other problems
caused by the Covid-19 virus, such as economic and social
problems, have also arisen. These various problems are constantly
accumulating a considerable amount of data, which can be either a
well-defined or fragmented news stream.
In this special issue of the Journal of Data, Information and
Management on the theme of "Big Data Analytics and Artificial
Intelligence (including machine learning) to combat a Pandemic "
like Covid-19 is intended to obtain insights and viewpoints from
scholars and practitioners on the use of new technologies such as
artificial intelligence and machine learning for the prevention or
reduction of the negative impact of a pandemic. We seek for
articles that apply artificial intelligence, machine learning and
data science concepts and techniques to study the pandemic and its
effects on individuals, organizations or the supply chain at
large.
Topics of interests include, but are not limited to:
* The behavioral, temporal, societal, and organizational aspects
of the pandemic
* Predictive modeling of a pandemic's spread based on hospital
data
* Location-based human mobility data (e.g. social media, mobile)
to track a pandemic like COVID-19
* Use of AI and machine learning enabled devices to detect a
pandemic like COVID-19
* Analysis of disease transmissions and interventions
* Data analysis of the impact of various (non)government
intervention policies (e.g. stay-at-home, mask mandate) on the
pandemic transmission
* How enterprise systems (i.e. ERP, SCM, CRM) complement, the ever
increasing need to work from home.
* Urban logistics
* Sustainability issues
* Supply Chain Flexibility
* Food Supply Chains
* Distant work (productivity and social impact)
* Innovation in the supply chain
* Globalization of supply chains
* Supply Chain Risk
* Innovative strategies to limit risk of epidemic disease
propagation
* Simulation of outbreak events
* Big data-driven health system response to epidemic outbreaks on
operations risk identification
* AI-based epidemic network analysis
* MCDM models in field of healthcare risk management
* IoT application in healthcare
* Humanitarian logistics dealing with uncertainties
* Other topics related this special issue
Important Dates:
September 15, 2020: Submission deadline for paper submission
October 21, 2020: First round of reviews to the authors
November 22, 2020: Submission of the revised papers
December 15, 2020: Notification of the acceptance decision
March 1, 2021: Publication of the special issue
Guest Editor-in-Chief:
Jatinder N. D. Gupta, University of Alabama in Huntsville,
guptaj@uah.edu<mailto:guptaj@uah.edu>
Guest Editors:
Markku Kuula,
markku.kuula@aalto.fi<mailto:markku.kuula@aalto.fi>
Yanfei Lan, Tianjin University,
lanyf@tju.edu.cn<mailto:lanyf@tju.edu.cn>
Amir Zadeh, Wright State University,
amir.zadeh@wright.edu<mailto:amir.zadeh@wright.edu>
For guidelines and instructions for submitting a paper, click here
https://www.springer.com/journal/42488.
For questions about this special issue, please contact the guest
editors.
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