The study of the effect of the data collected during vaccination period on the prediction of the number of Covid-19 cases

Amir Ahmad, Santosh Kumar Ray, Ch Aswani Kumar, Apurva Anand, Muhsin Jabbar Cheratta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Coronavirus disease (Covid-19) is a serious health problem for the world. Most of the countries are affected by this infectious disease. Many countries have started vaccination against Covid-19. The number of confirmed cases every day changes rapidly. Public health planners want to know these numbers in advance to arrange health facilities accordingly. Many machine learning models have been developed for the prediction of the number of Covid-infected people. The accuracy of these models depends upon the training data. Data collected during the period when there is no vaccination and data collected during the vaccination period have different properties. The models trained on different datasets perform differently. In this paper, we study the effect of the data collected during the vaccination period. The study will be helpful in generating more accurate prediction models for the vaccination period.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-289
Number of pages4
ISBN (Electronic)9781665426428
DOIs
Publication statusPublished - 2021
Event5th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2021 - Palladam, India
Duration: Nov 11 2021Nov 13 2021

Publication series

NameProceedings of the 5th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2021

Conference

Conference5th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2021
Country/TerritoryIndia
CityPalladam
Period11/11/2111/13/21

Keywords

  • Covid-19
  • confirmed cases
  • regression methods
  • vaccination

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Communication

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