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Research Projects

DECOVID: Data-assimilation and error correction of viral infectious disease models

Implementing Organization

Indian Institute of Science
Principal Investigator
Dr Deepak N Subramani
Assistant Professor, Indian Institute of Science (IISc), Bengaluru
CO-Principal Investigator
NA

Project Overview

The goal of the present project is to develop numerical schemes and algorithms for a Bayesian data assimilation methodology to rigorously correct forecast errors of differential equation-based viral infectious disease dynamical models, and to improve their prediction skill.

Achievements

NA

Related Research

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Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
Area of Research
Mathematical Sciences
Focus Area
Mathematical modelling for COVID-19
Start Date
2020
Contact
deepakns@iisc.ac.in
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
NA
Publications
00
No. of Patents
Filed : 00
Grant : 00
Disclaimer: Information available on this portal is sourced from various organizations and is provided for informational purposes only. Users are advised to verify details from the respective official sources.
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