Sshhh... if you listen closely, you can hear the crickets chirping.
Cherian, P., Krishna, S., & Menon, G. I., Optimizing testing for COVID-19 in India (2021), PLOS Computational Biology 17(7): e1009126. https://doi.org/10.1371/journal.pcbi.1009126.
The code this paper is based on is available on GitHub here.
Mozaffer, F., Cherian, P., Krishna, S., Wahl, B., & Menon, G. I., Effect of hybrid immunity, school reopening, and the Omicron variant on the trajectory of the COVID-19 epidemic in India: a modelling study (2023), The Lancet Regional Health - Southeast Asia, Volume 8, January 2023, 100095. https://doi.org/10.1016/j.lansea.2022.100095.
Cherian, P., Kshirsagar, K., Neekhra, B., et al., BharatSim: An agent-based modelling framework for India (2023), medRxiv. https://doi.org/10.1101/2023.06.15.23291292. (Manuscript under review by PLOS Computational Biology.)
Bhargav, P., Kelkar, S., Monteiro J. M., & Cherian, P., Interpreting epidemiological surveillance data: A modelling study based on Pune City (2024), medRxiv. https://doi.org/10.1101/2024.09.13.24313615. (Manuscript under review by PLOS Computational Biology.)