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

Athreya, S and Babu, GR and Iyer, A and Mohammed Minhaas, BS and Rathod, N and Shriram, S and Sundaresan, R and Vaidhiyan, NK and Yasodharan, S (2021) COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation. In: Sankhya B .

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Official URL: https://doi.org/10.1007/s13571-021-00267-w


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 a given budget of C rupees, a specified set of tests with costs, sensitivities, and specificities, we show 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. Our 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. © 2021, Indian Statistical Institute.

Item Type: Journal Article
Publication: Sankhya B
Publisher: Springer
Additional Information: The copyright for this article belongs to Springer
Department/Centre: Division of Biological Sciences > Centre for Infectious Disease Research
Date Deposited: 28 Nov 2021 06:16
Last Modified: 28 Nov 2021 06:16
URI: http://eprints.iisc.ac.in/id/eprint/70450

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