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COVID-19: Optimal design of serosurvey for disease burden estimation

Implementing Organization

Indian Institute of Science
Principal Investigator
Prof Giridhara R Babu
Public Health Foundation of India

About

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 a given budget of C rupees, a specified set of tests with costs, sensitivities, and specificities, shows the existence of optimal designs in four different contexts, including the well known c-optimal design. Usefulness of the results are illustrated via numerical examples. The results are applicable to a wide range of epidemiological surveys under the assumptions that the estimate’s Fisher-information matrix satisfies a uniform positive definite criterion.
Funding Organization
Funding Organization

Quick Information
Area of Research
Life Sciences & Biotechnology
Focus Area
Serosurveillance of COVID-19
Start Year
2020
Status
completed
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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