COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation
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...
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| Veröffentlicht in: | Sankhyā. Series B (2008) 2022-11, Vol.84 (2), p.472-494 |
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| container_end_page | 494 |
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| container_title | Sankhyā. Series B (2008) |
| container_volume | 84 |
| creator | Athreya, Siva Babu, Giridhara R. Iyer, Aniruddha S., Mohammed Minhaas B. Rathod, Nihesh Shriram, Sharad Sundaresan, Rajesh Vaidhiyan, Nidhin Koshy Yasodharan, Sarath |
| description | 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. |
| doi_str_mv | 10.1007/s13571-021-00267-w |
| format | Article |
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| identifier | ISSN: 0976-8386 |
| ispartof | Sankhyā. Series B (2008), 2022-11, Vol.84 (2), p.472-494 |
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| language | eng |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Mathematics and Statistics Statistics |
| title | COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation |
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