Concepedia

Author

Ritoban Kundu

University of MichiganORCID

Also Known As

Kundu, Ritoban, Ritoban Kundu

33

Publications

294

Citations

10

H-Index

21

Concepts

All Affiliations

University of MichiganIndian Statistical InstituteJohns Hopkins UniversityHarvard University
RK

About

Ritoban Kundu is an author at University of Michigan specializing in epidemiology, emerging infectious diseases, and medicine.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Medicine

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2

Public Health

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4

93

3

Epidemiology

4

4

93

4

Global Health

3

3

62

5

Health Informatics

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14

Ritoban Kundu

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10

Publications

234

Citations

10

H-Index

YearCitations

A comparison of five epidemiological models for transmission of SARS-CoV-2 in India

Soumik Purkayastha, Rupam Bhattacharyya, Ritwik Bhaduri,

BMC Infectious Diseases

2021

42

Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates

Rupam Bhattacharyya, Ritoban Kundu, Ritwik Bhaduri,

Scientific Reports

2021

31

Estimating the wave 1 and wave 2 infection fatality rates from SARS-CoV-2 in India

Soumik Purkayastha, Ritoban Kundu, Ritwik Bhaduri,

BMC Research Notes

2021

28

Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience

Maxwell Salvatore, Soumik Purkayastha, Lakshmi Ganapathi,

Science Advances

2022

28

Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: <i>SEIR‐fansy</i>

Ritwik Bhaduri, Ritoban Kundu, Soumik Purkayastha,

Statistics in Medicine

2022

25

Reconciling epidemiological models with misclassified case-counts for SARS-CoV-2 with seroprevalence surveys: A case study in Delhi, India

Rupam Bhattacharyya, Ritwik Bhaduri, Ritoban Kundu,

2020

20

A framework for understanding selection bias in real-world healthcare data

Ritoban Kundu, Xu Shi, Jean Morrison,

Journal of the Royal Statistical Society Series A (Statistics in Society)

2024

18

EXTENDING THE SUSCEPTIBLE-EXPOSED-INFECTED-REMOVED (SEIR) MODEL TO HANDLE THE HIGH <i>fa</i> LSE <i>n</i> EGATIVE RATE AND <i>sy</i> MPTOM-BASED ADMINISTRATION OF COVID-19 DIAGNOSTIC TESTS: <i>SEIR-fansy</i>

Ritwik Bhaduri, Ritoban Kundu, Soumik Purkayastha,

2020

16

COVID-19 Pandemic in India: Through the Lens of Modeling

Giridhara R. Babu, Debashree Ray, Ritwik Bhaduri,

Global Health Science and Practice

2021

14

To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice

Maxwell Salvatore, Ritoban Kundu, Xu Shi,

Journal of the American Medical Informatics Association

2024

12

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