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Sharad Shriram

Researcher at Indian Institute of Science

Publications -  6
Citations -  33

Sharad Shriram is an academic researcher from Indian Institute of Science. The author has contributed to research in topics: Context (language use) & Population. The author has an hindex of 2, co-authored 6 publications receiving 19 citations.

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City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic

TL;DR: In this article, the authors highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic and demonstrate the power of the simulator via several exploratory case studies in two metropolises.
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COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation

TL;DR: In this article, the authors provide a methodology by which an epidemiologist may arrive at an optimal design for a survey whose goal is to estimate the disease burden in a population, under the assumption that the estimate's Fisher-information matrix satisfies a uniform positive definite criterion.
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COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation

TL;DR: In this article, the authors provide a methodology by which an epidemiologist may arrive at an optimal design for a survey whose goal is to estimate the disease burden in a population, under the assumption that the estimate's Fisher-information matrix satisfies a uniform positive definite criterion.
Posted Content

Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway

TL;DR: In this article, a multi-scale agent-based model was used to study the impact of cohorting strategies on COVID-19 dynamics in Mumbai. But the authors did not consider the effect of the number of travelers in a group.