A novel approach to forecasting reproduction numbers of spatiotemporal stochastic epidemic spread using a PDE-based model and real-time infection data

Deepak Antony David; Chunyan Liu; Logan Street; Shelley Ehrlich; Manish Kumar; Subramanian Ramakrishnan

doi:10.1038/s41598-025-91811-5

A novel approach to forecasting reproduction numbers of spatiotemporal stochastic epidemic spread using a PDE-based model and real-time infection data

D Deepak Antony David C Chunyan Liu (Laboratory of Advanced Materials, College of Smart Materials and Future Energy (iCOME)) L Logan Street S Shelley Ehrlich M Manish Kumar S Subramanian Ramakrishnan

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published March 21, 2025

DOI 10.1038/s41598-025-91811-5

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (6)

D

Deepak Antony David

C

Chunyan Liu

Laboratory of Advanced Materials, College of Smart Materials and Future Energy (iCOME)

L

Logan Street

S

Shelley Ehrlich

M

Manish Kumar

S

Subramanian Ramakrishnan

A novel approach to forecasting reproduction numbers of spatiotemporal stochastic epidemic spread using a PDE-based model and real-time infection data

Article Details

Journal Info

Authors (6)

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