Research
Title : | Bayesian individual-level modelling of the spread of COVID-19 pandemic |
Area of research : | COVID-19 Research, Life Sciences & Biotechnology, Mathematical Sciences |
Focus area : | COVID-19 Transmission model |
Principal Investigator : | Prof Sharvari Rahul Shukla, SYMBIOSIS International University (SIU), Pune |
Timeline Start Year : | 2020 |
Timeline End Year : | 2020 |
Contact info : | sharvareeshukla@gmail.com |
Details
Executive Summary : | In this study, the individual-level modelling of the COVID-19 pandemic is proposed to be applied in a large population of India. |
Outcome/Output: | Presented a Bayesian algorithm with the code to predict number of infected, recovered and death cases due to COVID-19 in the Indian population. The algorithm has shown to run at different time intervals and at different geographical locations. |
Organizations involved
Implementing Agency : | SYMBIOSIS International University (SIU), Pune Funding Agency :Department of Science and Technology (DST), Govt of India | |