Panel 5: Smart cities, public health & infectious diseases

Panel 5

Title of the panel:

Smart cities, public health & infectious diseases:

Decision-making Models in Optimization Applied to Infectious Diseases in the Smart Cities Project

Keywords:

Information management; Innovation management; Information and communication technology (ICT) in healthcare; Big data; Management of pandemics and their implications through the use of AI

Short description of the panel:

The impact of the pandemic of COVID-19 is reflected in various ways in every city, generating significant changes to the consumption patterns, production levels and lifestyles of people worldwide. These changes are even greater in large cities. Through the application of technologies, engagement and collaborative work, Smart Cities aim to ensure the health of their inhabitants and the functioning of services.

How should we design public health in smart cities to tackle pandemics?

Optimization models are characterized by supporting decision-making in public health. These tools can be used at various levels of management and operation to minimize cost and maximize the care and benefits for the population during a pandemic. Therefore, it is necessary to apply optimization models to allow the best possible utilization and distribution of resources in the public health domain, including both day-to-day activities and one-off emergencies. Optimization models can achieve outstanding results, such as an increase in productivity, a reduction in cost and increase in efficiency, and an enhanced capacity to address emergencies.

Many managers and analysts do not know what to do with the rich and detailed information obtained from sources such as Artificial Intelligence (AI), ‘Big Data’ (BD) and Information and Communication Technology (ICT). Nonetheless, the more accurate that the information is, the better the decisions that can be made. Therefore, this technology produces data for use in intelligent decision management and administration.

As well as articles discussing the current state of the art, we welcome original research on the potential for the optimization of these networks through new mathematical models that allow for more effective decision-making in a pandemic.

Some of the topics that will be discussed in the panel:

  • ICT innovations in public health during the COVID-19 pandemic
  • New perspectives on the provision of mobile public health services for infectious diseases
  • Optimization tools for devising health policies and programs
  • Optimization models for public health in Smart Cities and Smart Villages
  • Optimization models for public health, and the issue of observing emergency transmittable diseases.

Conveners:

  • Plácido Rogério Pinheiro, University of Fortaleza, Brazil
  • Mirian Calíope Dantas Pinheiro, University of Fortaleza, Brazil
  • Luiz Jonatã Pires de Araújo, Innopolis University, Russia
  • Wilson Correa de Abreu, School of Nursing of Porto, Portugal
  • Ashish Khanna, Maharaja Agrasen Institute of Technology, India

Submit your abstract proposal here: 

https://ocs.springer.com/misc/home/RIIForum2021