The mean prediction accuracy scores of CP (in percentage) based on incomplete contact information of the collected sample for varying (a) confidence interval, (b) mobility model, and (c) viral strain.

<p>The mean prediction accuracy scores of CP (in percentage) based on incomplete contact information of the collected sample for varying (a) confidence interval, (b) mobility model, and (c) viral strain.</p>

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Bibliographic Details
Main Author:	Satyaki Roy (9557585) (author)
Other Authors:	Preetom Biswas (16733955) (author), Preetam Ghosh (3441398) (author)
Published:	2025
Subjects:	Medicine Biotechnology Ecology Cancer Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified optimization framework based heterogeneous reporting rates continuous metric derived contagion potential </ infection risk posed advancing infection profiling biased incidence data available tracking data sirs epidemic model propose statistical corrections asymptomatic cases challenged reliable cp estimates spatial contact data mobility data arise div >< p confidence cp estimates spatial model infection spread sampled data data uncertainty statistical methods mobility models confidence level asymptomatic within epidemiological data population cp infer cp cp estimation viral strains testing approach social mixing sampling inconsistencies sampling frequency reasonable estimate interactions captured inherent uncertainties findings demonstrate even within complicating estimation adjustment factor achieve high 19 pandemic
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The mean prediction accuracy scores of CP (in percentage) based on incomplete contact information of the collected sample for varying (a) confidence interval, (b) mobility model, and (c) viral strain.

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