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Characterization of partially observed epidemics through Bayesian inference: application to COVID-19.

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Title: Characterization of partially observed epidemics through Bayesian inference: application to COVID-19.
Authors: Safta, Cosmin1 (AUTHOR) csafta@sandia.gov, Ray, Jaideep1 (AUTHOR), Sargsyan, Khachik1 (AUTHOR)
Source: Computational Mechanics. Nov2020, Vol. 66 Issue 5, p1109-1129. 21p.
Database: Academic Search Ultimate
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  Data: Characterization of partially observed epidemics through Bayesian inference: application to COVID-19.
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  Data: <searchLink fieldCode="JN" term="%22Computational+Mechanics%22">Computational Mechanics</searchLink>. Nov2020, Vol. 66 Issue 5, p1109-1129. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=146479396
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        Value: 10.1007/s00466-020-01897-z
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        Text: English
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        PageCount: 21
        StartPage: 1109
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      – TitleFull: Characterization of partially observed epidemics through Bayesian inference: application to COVID-19.
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              Text: Nov2020
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