Life Sciences & Biotechnology
Title : | COVID-19: Optimal design of serosurvey for disease burden estimation |
Area of research : | Life Sciences & Biotechnology, Computer Sciences and Information Technology, COVID-19 Research |
Focus area : | Serosurveillance of COVID-19 |
Principal Investigator : | Prof Giridhara R Babu, Public Health Foundation of India (PHFI), Hyderabad |
Timeline Start Year : | 2020 |
Contact info : | epigiridhar@gmail.com, rajeshs@iisc.ac.in |
Details
Executive Summary : | 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. |
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