Super Spreader Events and the Spread of COVID: Evidence from India

Surjit Bhalla and Karan Bhasin ()

A chapter in Practical Economic Analysis and Computation, 2024, pp 309-323 from Springer

Abstract: Abstract This paper examines the evolution of the COVID-19 pandemic in India with particular reference to the role played by super-spreader events like election rallies. The paper makes use of the S-shaped Gompertz curve for simulating the dynamics of diffusion of COVID-19 in different states of India. Two different models—dynamics of COVID-19 diffusion per se and a more sophisticated synthetic control method—are used to evaluate the role of outdoor election rallies in propagating the spread of the infection in COVID’s second wave. We find little statistical evidence in support of a positive relationship between elections and the spread of the virus.

Keywords: COVID-19; Synthetic control; Election rallies (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isbchp:978-981-97-6753-3_14

Ordering information: This item can be ordered from
http://www.springer.com/9789819767533

DOI: 10.1007/978-981-97-6753-3_14

Access Statistics for this chapter

More chapters in India Studies in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().