Coronavirus | Covid-19 | Peer Reviewed Journals Articles | Mathematical Models to Control COVID-19 Spread

Journal of Generalized Lie Theory and Applications

ISSN: 1736-4337

Open Access

Special Issue: Mathematical Models to Control COVID-19 Spread

Journal of Generalized Lie Theory and Applications is pleased to announce a special issue on “Mathematical models to control COVID-19 spread”.

COVID-19 is a new emerging contagious disease caused by a virus, named novel coronavirus. The disease is spreading between people globally and has so far claimed hundreds of lives across the globe. The disease affects lungs and causes a respiratory illness with symptoms like cold, cough, fever, and in critical cases difficulty in breathing. In the early stages of such a contagious disease outbreak, it is very critical to understand the transmission pattern of the infection.  Studying the changes in the transmission pattern over time can provide a better understanding of the epidemiological situation, which is very important to stop the spread of the COVID-19 in new areas by the timely deployment of countermeasures.

This special issue aims to provide an opportunity for global researchers to share their researches. We welcome both solicited and unsolicited submissions that will contribute to this special issue.

Submission Process

  • Special issue articles can include both original unpublished research articles and review articles related to the specific theme.
  • Manuscripts will be accepted for publishing in the special issue only after getting approved by the peer review committee.
  • All the articles in special issues should strictly adhere to journal style and formatting.
  • Each special issue can be created with 5-7 articles.
  • All accepted manuscripts can be submitted online via Lie Theory or through an email id [email protected]
  • Submission should be accompanied by a cover letter with reference to the concerned special issue theme.
  • Please visit Instruction for authors page to know more about article formatting and guidelines: Authors guidelines



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