no code implementations • 7 Sep 2022 • Daksh Mittal, Sandeep Juneja, Shubhada Agrawal
They provide the flexibility to accurately model a heterogeneous population with time and location varying, person-specific interactions as well as detailed governmental mobility restrictions.
no code implementations • 30 Jul 2021 • Sandeep Juneja, Daksh Mittal
Due to uncertainties regarding emergence of new variants and reinfections, instead of projecting our best guess scenario, in this report we conduct an extensive scenario analysis for Mumbai and track peak fatalities in the coming months in each of these scenarios.
no code implementations • 5 May 2021 • Sandeep Juneja, Daksh Mittal
We use our simulator to conduct an extensive scenario analysis - we play out many plausible scenarios through varying economic activity, reinfection levels, population compliance, infectiveness, prevalence and lethality of the possible variant strains, and infection spread via local trains to arrive at those that may better explain the second wave fatality numbers.
1 code implementation • 29 Oct 2020 • Prahladh Harsha, Sandeep Juneja, Daksh Mittal, Ramprasad Saptharishi
These projections were developed taking into account a possible second wave if the economy and the local trains are fully opened either on November 1, 2020 or on January 1, 2021.
Physics and Society Populations and Evolution