Follow
Soumik Purkayastha
Soumik Purkayastha
Department of Biostatistics, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms
D Ray, M Salvatore, R Bhattacharyya, L Wang, J Du, S Mohammed, ...
Harvard data science review 2020 (Suppl 1), 2020
173*2020
A Review of Multi‐Compartment Infectious Disease Models
L Tang, Y Zhou, L Wang, S Purkayastha, L Zhang, J He, F Wang, PX Song
International Statistical Review 88 (2), 2020
1162020
Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience
M Salvatore, S Purkayastha, L Ganapathi, R Bhattacharyya, R Kundu, ...
Science Advances 8 (24), 2022
56*2022
Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations
M Salvatore, D Basu, D Ray, M Kleinsasser, S Purkayastha, ...
BMJ Open 10 (12), 10.1136/bmjopen-2020-041778, 2020
55*2020
A Spatiotemporal Epidemiological Prediction Model to Inform County-level COVID-19 Risk in the USA
Y Zhou, L Wang, L Zhang, L Shi, K Yang, B Zhao, W Overton, ...
Harvard Data Science Review, 2020
54*2020
A comparison of five epidemiological models for transmission of SARS-CoV-2 in India
S Purkayastha, R Bhattacharyya, R Bhaduri, R Kundu, X Gu, M Salvatore, ...
BMC infectious diseases 21 (1), 1-23, 2021
522021
Are women leaders significantly better at controlling the contagion during the COVID-19 pandemic?
S Purkayastha, M Salvatore, B Mukherjee
Journal of Health and Social Sciences 5 (2), 231-239, 2020
362020
Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy
R Bhaduri, R Kundu, S Purkayastha, M Kleinsasser, LJ Beesley, ...
Statistics in medicine 41 (13), 2317-2337, 2022
31*2022
Estimating the wave 1 and wave 2 infection fatality rates from SARS-CoV-2 in India
S Purkayastha, R Kundu, R Bhaduri, D Barker, M Kleinsasser, D Ray, ...
BMC Research Notes 14 (262), 1-7, 2021
31*2021
SARS-CoV-2 infection fatality rates in India: systematic review, meta-analysis and model-based estimation
L Zimmermann, S Bhattacharya, S Purkayastha, R Kundu, R Bhaduri, ...
Studies in Microeconomics 9 (2), 137-179, 2021
102021
Prediction of Monthly Hilsa (Tenualosa ilisha) Catch in the Northern Bay of Bengal using Bayesian Structural Time Series Model
S Giri, S Purkayastha, S Hazra, A Chanda, I Das, S Das
Regional Studies in Marine Science, 2020
82020
fastMI: A fast and consistent copula-based nonparametric estimator of mutual information
S Purkayastha, PXK Song
Journal of Multivariate Analysis 201, 105270, 2024
22024
Under-Reporting Does Hurt the COVID Fight
B Mukherjee, S Purkayastha, M Salvatore, S Mishra
The Hindu, 2021
22021
Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models
S Purkayastha, PXK Song
arXiv preprint arXiv:2311.04696, 2024
2024
Asymmetric predictability in causal discovery: an information theoretic approach
S Purkayastha, PXK Song
arXiv preprint arXiv:2210.14455, 2023
2023
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al.
S Purkayastha, PX Song
Statistics and Its Interface 14 (1), 21-22, 2020
2020
On minimum Bregman divergence inference
S Purkayastha, A Basu
arXiv, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–17