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researcher

S. Shriram

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.MA1
  • q-bio.PE1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

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

5 citations · 5 across the 1 of their papers we have counts for

collaborators

3 papers

cs.MA2020★ 5 cited

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

Alok Talekar, Sharad Shriram, Nidhin Vaidhiyan +10

The Mumbai Suburban Railways, \emph{locals}, are a key transit infrastructure of the city and is crucial for resuming normal economic activity. To reduce disease transmission, poli…

stat.AP2020

COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation

Siva Athreya, Giridhara R. Babu, Aniruddha Iyer +6

We 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. For serosurveys with…

q-bio.PE2020

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

Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee +14

We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic. We ground our studies in the c…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.