Risk and Survival Analysis from COVID Outbreak Data: Lessons from India

Prasad Bankar, Subhasis Panda, Vaibhav Anand, Vineet Kumar
Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021, PMLR 146:215-222, 2021.

Abstract

The present analysis is an attempt to provide data-backed evidence around mortality due to COVID-19 in Indian context. We provide a description of the prevailing COVID-19 conditions in India by means of succinct visualisation via a dynamic dashboard and cluster analysis. Building upon this, we performed survival analysis on COVID-19 patients from the state of Karnataka, stratifying the data on the basis of age and gender. The findings of the same have been reported in this paper. To our knowledge, this is the largest retrospective cohort-based survival analysis in Indian context.

Cite this Paper

BibTeX
@InProceedings{pmlr-v146-bankar21a, title = {Risk and Survival Analysis from COVID Outbreak Data: Lessons from India}, author = {Bankar, Prasad and Panda, Subhasis and Anand, Vaibhav and Kumar, Vineet}, booktitle = {Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021}, pages = {215--222}, year = {2021}, editor = {Greiner, Russell and Kumar, Neeraj and Gerds, Thomas Alexander and van der Schaar, Mihaela}, volume = {146}, series = {Proceedings of Machine Learning Research}, month = {22--24 Mar}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v146/bankar21a/bankar21a.pdf}, url = {https://proceedings.mlr.press/v146/bankar21a.html}, abstract = {The present analysis is an attempt to provide data-backed evidence around mortality due to COVID-19 in Indian context. We provide a description of the prevailing COVID-19 conditions in India by means of succinct visualisation via a dynamic dashboard and cluster analysis. Building upon this, we performed survival analysis on COVID-19 patients from the state of Karnataka, stratifying the data on the basis of age and gender. The findings of the same have been reported in this paper. To our knowledge, this is the largest retrospective cohort-based survival analysis in Indian context.} }
Endnote
%0 Conference Paper %T Risk and Survival Analysis from COVID Outbreak Data: Lessons from India %A Prasad Bankar %A Subhasis Panda %A Vaibhav Anand %A Vineet Kumar %B Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021 %C Proceedings of Machine Learning Research %D 2021 %E Russell Greiner %E Neeraj Kumar %E Thomas Alexander Gerds %E Mihaela van der Schaar %F pmlr-v146-bankar21a %I PMLR %P 215--222 %U https://proceedings.mlr.press/v146/bankar21a.html %V 146 %X The present analysis is an attempt to provide data-backed evidence around mortality due to COVID-19 in Indian context. We provide a description of the prevailing COVID-19 conditions in India by means of succinct visualisation via a dynamic dashboard and cluster analysis. Building upon this, we performed survival analysis on COVID-19 patients from the state of Karnataka, stratifying the data on the basis of age and gender. The findings of the same have been reported in this paper. To our knowledge, this is the largest retrospective cohort-based survival analysis in Indian context.
APA
Bankar, P., Panda, S., Anand, V. & Kumar, V.. (2021). Risk and Survival Analysis from COVID Outbreak Data: Lessons from India. Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021, in Proceedings of Machine Learning Research 146:215-222 Available from https://proceedings.mlr.press/v146/bankar21a.html.

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