Research Article
Risk Assessment Model: Roadmap to Develop Kolkata into a Smart City
@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}, volume={5}, number={14}, 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
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).
Copyright © 2020 Saraff, S. et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.