COVID-19 Infection Dynamics for India-Forecasting the Disease using SIR models

Darapaneni, Narayana; Panwar, Arjun; Paduri, Anwesh Reddy; Patel, Ankit; Shah, C F; Gada, Jigar; Majrekar, Milind

doi:10.1109/iciis51140.2020.9342660

Cited by 1 publication

(1 citation statement)

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“…There are many possible reasons for such a variation. With this study we attempt to model the spread of the pandemic [22] and help recommend the governments and health departments on the management and availability of health infrastructure for their subjects. In absence and or delay of the vaccine this effort will help contain the disease by means of providing targeted healthcare based on individual's needs, mitigate the risks and substantiate the efforts to manage the health infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Risk Estimates and Fatalities Involved with Covid-19

Darapaneni

Singh²,

Paduri³

et al. 2021

2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)

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The objective of this work is to understand COVID-19 spread and lethality across the world along with the factors affecting them. For this, we first studied the impact of COVID-19 spread across the world and then did a time series analysis to figure out the trend in cases and deaths across the world using FBPROPHET and ARIMA algorithms. We used the publicly available data until 21 January 2021(365 days) for building this model. The second part of this work involves predicting the case fatality rate through country specific indicators such as Socio-Economic, Health, Diet and Weather. To assess these factors, we would use Statistical Analysis and Feature Selection techniques to eliminate insignificant features and provide the most significant features that the healthcare professionals may focus on. In wake of delay in the advent of vaccines and eventual roll-out, this study aims to provide a tool that will assist the already overloaded healthcare system with its recommendations.

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Section: Introductionmentioning

confidence: 99%