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

Athreya, Siva ; Babu, Giridhara R. ; Iyer, Aniruddha ; S., Mohammed Minhaas B. ; Rathod, Nihesh ; Shriram, Sharad ; Sundaresan, Rajesh ; Vaidhiyan, Nidhin Koshy ; Yasodharan, Sarath (2021) COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation Sankhya B, 84 (2). pp. 472-494. ISSN 0976-8386

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

Related URL: http://dx.doi.org/10.1007/s13571-021-00267-w

Abstract

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.

Item Type:Article
Source:Copyright of this article belongs to Springer Nature
Keywords:c-optimal design, serosurvey, COVID-19, worst-case design, Fisher information, weighted estimate, adjusted estimate
ID Code:131603
Deposited On:07 Dec 2022 09:23
Last Modified:07 Dec 2022 09:23

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