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OPTIMAL QUESTIONNAIRES FOR SCREENING OF STRATEGIC AGENTS
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; : 8173-8177, 2021.
Article in English | Web of Science | ID: covidwho-1532684
ABSTRACT
During the COVID-19 pandemic the health authorities at airports and train stations try to screen and identify the travellers possibly exposed to the virus. However, many individuals avoid getting tested and hence may misreport their travel history. This is a challenge for the health authorities who wish to ascertain the truly susceptible cases in spite of this strategic misreporting. We investigate the problem of questioning travellers to classify them for further testing when the travellers are strategic or are unwilling to reveal their travel histories. We show there are fundamental limits to how many travel histories the health authorities can recover.

Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Language: English Journal: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Language: English Journal: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Year: 2021 Document Type: Article