Abstract
In the last year, most of the world’s activities stopped due to the COVID-19 pandemic, but not research: we especially observed a fast race for new insights in COVID-19 and also in applying new technical approaches for COVID-19. In this sense, this special issue collects contributions about applying Artificial Intelligence (AI) to global epidemics.
In the fight against epidemics, medical staff is on the front line; however, behind the line, the battle is fought by the government officials, researchers, and data scientists. AI has been helping nations with computer modeling and simulation for predictions in many applications, such as predictions of the overall economic situation, tax incomes, and population development. In the same manner, AI can prepare the governments for emergency situations by backing the medical science. AI plays a key and cutting-edge role in preparing and dealing with the outbreak situation of global epidemics. It can help researchers analyze global data about known viruses to predict the information of the next pandemic and the impact it will have. Not only prediction, AI also plays an increasingly important role in assessing a country’s readiness, early detection, identification of patients, generating recommendations, situation awareness, and more. It is up to the right input and the innovative ways by humans to leverage what AI can do.
As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pave the way in preparing humanity for such future situations. This special issue contains papers describing the role AI plays in various stages of a disease outbreak, with COVID-19 as a case study.
The special issue solicits submissions focusing on the perspectives and surveys of existing scenarios and consisting of research results in the following topics, but not limited to:
Effects of COVID-19 Confinements
Assessing Countries’ Readiness for Coping with Epidemics
Study related to Animal originated diseases
Challenges in Battling with Epidemics
AI for Forecasting
AI and Detection
Generating Recommendations
AI in Genome Sequencing
AI-assisted Testing
Role of AI in Contact Tracing
Situation Awareness
Computational Drug Repurposing
In the fight against epidemics, medical staff is on the front line; however, behind the line, the battle is fought by the government officials, researchers, and data scientists. AI has been helping nations with computer modeling and simulation for predictions in many applications, such as predictions of the overall economic situation, tax incomes, and population development. In the same manner, AI can prepare the governments for emergency situations by backing the medical science. AI plays a key and cutting-edge role in preparing and dealing with the outbreak situation of global epidemics. It can help researchers analyze global data about known viruses to predict the information of the next pandemic and the impact it will have. Not only prediction, AI also plays an increasingly important role in assessing a country’s readiness, early detection, identification of patients, generating recommendations, situation awareness, and more. It is up to the right input and the innovative ways by humans to leverage what AI can do.
As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pave the way in preparing humanity for such future situations. This special issue contains papers describing the role AI plays in various stages of a disease outbreak, with COVID-19 as a case study.
The special issue solicits submissions focusing on the perspectives and surveys of existing scenarios and consisting of research results in the following topics, but not limited to:
Effects of COVID-19 Confinements
Assessing Countries’ Readiness for Coping with Epidemics
Study related to Animal originated diseases
Challenges in Battling with Epidemics
AI for Forecasting
AI and Detection
Generating Recommendations
AI in Genome Sequencing
AI-assisted Testing
Role of AI in Contact Tracing
Situation Awareness
Computational Drug Repurposing
| Original language | English |
|---|---|
| Journal | New Generation Computing |
| Volume | 39 |
| Issue number | 3-4 |
| Pages (from-to) | 483-485 |
| Number of pages | 3 |
| ISSN | 0288-3635 |
| DOIs | |
| Publication status | Published - 11.2021 |
Research Areas and Centers
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
- Research Area: Intelligent Systems
DFG Research Classification Scheme
- 4.43-03 Security and Dependability, Operating, Communication and Distributed Systems
Coronavirus related work
- Research on SARS-CoV-2 / COVID-19
