Home Print this page Email this page
Users Online: 1489
Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
Year : 2020  |  Volume : 9  |  Issue : 5  |  Page : 68-72

Assessing the effect of lockdown on COVID-19 pandemic through risk prediction model in major cities of India

1 Department of Community Medicine, Government Thiruvarur Medical College and Hospital, Thiruvarur, Tamil Nadu, India
2 Department of Community Medicine, SRM Medical College Hospital and Research Centre, Kattankulatur, Tamil Nadu, India

Correspondence Address:
Dr. Balaji Ramraj
Department of Community Medicine, SRM Medical College Hospital and Research Centre, Kattankulatur - 603 203, Tamil Nadu
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijhas.IJHAS_103_20

Rights and Permissions

The World Health Organization declared COVID-19 outbreak as a pandemic on March 11. Models can be established for this process to analyze and study the transmission process of infectious diseases theoretically. This paper presents the prediction of the number of positive COVID-19 cases for different lockdown scenario being implemented in some of the major cities in India. The predictions and assessments were based on a newly developed mathematical model that divides the population into four classes, i.e., susceptible, exposed, infected, and removed. According to the model, total lockdown can produce an effect in the reduction of number of corona cases in the major cities. However, similar difference may not be noted for the entire country as per the prediction.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded159    
    Comments [Add]    

Recommend this journal