AI Techniques and Mathematical Modeling to Detect Coronavirus
- PDF / 1,933,391 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 46 Downloads / 154 Views
CASE STUDY
AI Techniques and Mathematical Modeling to Detect Coronavirus Kashif Ahmed1
•
Niharika Gouda2,3
Received: 15 August 2020 / Accepted: 28 October 2020 The Institution of Engineers (India) 2020
Abstract The epic coronavirus (COVID-19) flare-up, distinguished in late 2019, requires unique consideration in view of its future pandemics and conceivable worldwide dangers. In addition to clinical methodology and medicines, artificial intelligence (AI) guarantees another worldview for social welfare, a few distinctive AI methods that are based upon machine learning calculations are utilized for investigating information and dynamic procedures. This paper presents a survey on various mathematical model and AI-based devices to understand its growth which could assist in ruling out COVID-19 infection. Also, a new technique for the forecast of the disease is investigated. These methods if inculcated in practice can help in curtailing the further spread of the disease. Keywords Artificial intelligence COVID-19 Forecasting Mathematical modeling Pneumonia h-SEIHRD
Introduction COVID-19 short for Coronavirus disease 2019 is a highly contagious disease originated in Wuhan province of China in December 2019. World Health Organization (WHO) & Kashif Ahmed [email protected] Niharika Gouda [email protected] 1
Department of Electrical and Electronics Engineering, CMR Institute of Technology, Bengaluru, India
2
Universita` degli Studi dell’Aquila, L’Aquila, Italy
3
Amrita Vishwa Vidyapeetham, Bengaluru, India
conceded that virus can create respiratory ailment with fever and cough. Without a remedial vaccine or explicit antiviral medications, early identification tools and separation becomes essential against novel coronavirus. World Health Organization council announced COVID-19 as a pandemic because of quick individual–individual spread and affected patients have less immunity. The coronaviruses come in the group of Coronaviridae. The infections cause moderate virus Middle East respiratory syndrome (MERS) or Severe Acute Respiratory Syndrome to the individuals. COVID-19 is fervid infection brought about by SARS-CoV, which had begun in China and it was unfurled in numerous nations around the world [1]. The COVID-19 spread quickly in China and leaded to more than 7050 cases toward the finish of January [2]. The count of the initial month total cases of the COVID-19 has crossed the complete count of the SARS cases in 2003 [3]. As a result, the patients are outnumbering the medical staff. Accordingly, this makes medical organization and doctors over-burdened. This prompt delayed examination and isolation of affected individuals and low productive medication of patients. The Comparison Between COVID-19 and SARS2003 In Fig. 1a [4] the count of cases of SARS in 2003 indicated in blue circle line and the COVID-19 in 2020 indicated in red circle line, where the broad blue line is the prediction of SARS 2003. Figure 1b [4] shows the rate of infection b(t) of SARS indicated in blue circles and COVI
Data Loading...
