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Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach

Authors:

Soumya K. GhoshAuthors Info & Claims

CODS-COMAD '21: Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)

Pages 1 - 9

https://doi.org/10.1145/3430984.3431006

Published: 02 January 2021 Publication History

Abstract

With the intention of complementing the current worldwide actions to fight against novel coronavirus disease (COVID-19), substantial number of research works have been put forth during past few months so as to explore whether or how the various climatic factors influence the spread of this potentially fatal disease. However, because of uneven distribution as well as inadequate number of COVID tests, and also, due to lack of data transparency, these research findings are often found to be contradictory. In order to tackle such data inadequacy and uncertainty issues, in this work, we propose a theory-guided data-driven probabilistic framework with embedded technology of upgrading the impact analysis through incorporated climate domain semantics. Infusion of both the theoretical knowledge from epidemiology and the semantic knowledge from climatological domain helps the framework in better dealing with the uncertainty while appropriately capturing the pandemic characteristics of the disease. The effectiveness of our semantically-enhanced theory-guided data-driven approach is validated in terms of analyzing the causal influence as well as impact of climate variability on COVID-19 outbreak in several states of India.

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Cited By

Das MBasheer ABandyopadhyay S(2023)TURBaN: A Theory-Guided Model for Unemployment Rate Prediction Using Bayesian Network in Pandemic ScenarioHybrid Intelligent Systems10.1007/978-3-031-27409-1_47(521-531)Online publication date: 25-May-2023
https://doi.org/10.1007/978-3-031-27409-1_47
Basheer ADas MBandyopadhyay S(2022)Theory-Guided Bayesian Analysis for Modeling Impact of COVID-19 on Gross Domestic ProductTENCON 2022 - 2022 IEEE Region 10 Conference (TENCON)10.1109/TENCON55691.2022.9977709(1-6)Online publication date: 1-Nov-2022
https://doi.org/10.1109/TENCON55691.2022.9977709
Das MGhosh AGhosh S(2021)Does Climate Variability Impact COVID-19 Outbreak? An Enhanced Semantics-Driven Theory-Guided ModelSN Computer Science10.1007/s42979-021-00845-92:6Online publication date: 9-Sep-2021
https://doi.org/10.1007/s42979-021-00845-9

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CODS-COMAD '21: Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)

January 2021

453 pages

ISBN:9781450388177

DOI:10.1145/3430984

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 January 2021

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DST/INSPIRE FACULTY

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CODS COMAD 2021

CODS COMAD 2021: 8th ACM IKDD CODS and 26th COMAD

January 2 - 4, 2021

Bangalore, India

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Overall Acceptance Rate 197 of 680 submissions, 29%

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Cited By

Das MBasheer ABandyopadhyay S(2023)TURBaN: A Theory-Guided Model for Unemployment Rate Prediction Using Bayesian Network in Pandemic ScenarioHybrid Intelligent Systems10.1007/978-3-031-27409-1_47(521-531)Online publication date: 25-May-2023
https://doi.org/10.1007/978-3-031-27409-1_47
Basheer ADas MBandyopadhyay S(2022)Theory-Guided Bayesian Analysis for Modeling Impact of COVID-19 on Gross Domestic ProductTENCON 2022 - 2022 IEEE Region 10 Conference (TENCON)10.1109/TENCON55691.2022.9977709(1-6)Online publication date: 1-Nov-2022
https://doi.org/10.1109/TENCON55691.2022.9977709
Das MGhosh AGhosh S(2021)Does Climate Variability Impact COVID-19 Outbreak? An Enhanced Semantics-Driven Theory-Guided ModelSN Computer Science10.1007/s42979-021-00845-92:6Online publication date: 9-Sep-2021
https://doi.org/10.1007/s42979-021-00845-9

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