sc 18: e10

Research Article

Risk Assessment Model: Roadmap to Develop Kolkata into a Smart City

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  • @ARTICLE{10.4108/eai.5-10-2020.166545,
        author={Sweta Saraff and Raman Kumar and Ayooshi Mitra and Sayantani Ghosh and Shrayana Ghosh and Sulagna Das},
        title={Risk Assessment Model: Roadmap to Develop Kolkata into a Smart City},
        journal={EAI Endorsed Transactions on Smart Cities: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={SC},
        year={2020},
        month={10},
        keywords={Risk Assessment, Early Identification, Kolkata, Pandemic/Epidemic},
        doi={10.4108/eai.5-10-2020.166545}
    }
    
  • Sweta Saraff
    Raman Kumar
    Ayooshi Mitra
    Sayantani Ghosh
    Shrayana Ghosh
    Sulagna Das
    Year: 2020
    Risk Assessment Model: Roadmap to Develop Kolkata into a Smart City
    SC
    EAI
    DOI: 10.4108/eai.5-10-2020.166545
Sweta Saraff1,*, Raman Kumar2, Ayooshi Mitra3, Sayantani Ghosh3, Shrayana Ghosh3, Sulagna Das3
  • 1: Amity Institute of Psychology and Allied Sciences, Amity University Kolkata, India
  • 2: Department of Computer Science and Engineering, I K Gujral Punjab Technical University, Punjab, India
  • 3: B.Tech Biotechnology, Amity Institute of Biotechnology, Amity University Kolkata, India
*Contact email: ssaraff306@gmail.com

Abstract

Risk assessment is an analytical instrument used to measure a person's likelihood of certain diseases and disorders by quantitative risk factors in health (such as age, weight, living condition, literacy, the family history of a disease, etc.). A risk assessment model is a combined effort to identify and analyse potential events that can adversely affect individuals, assets, and the environment. Since times immemorial, infectious diseases have been the leading cause of widespread mortality globally. New ones are materializing, and old ones are resurging. Early identification of infectious disease and evaluating the risk factors are essential first steps towards executing successful disease intervention and planning control measures—various air-borne diseases like influenza, chickenpox, COVID-19, etc. are candidates for such models. By customizing the risk assessment model for Kolkata, we will monitor the factors responsible for the growth and spread of diseases. The current paper aims to focus on risk assessment based on the aggregation of various factors relevant to the prediction of disease transmission (RAAPDT).