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iPAR: A framework for modelling and inferring information about disease spread when the populations at risk are unknown.

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Title: iPAR: A framework for modelling and inferring information about disease spread when the populations at risk are unknown.
Authors: Catterall, Stephen1 (AUTHOR) stephen@bioss.ac.uk, Porphyre, Thibaud2 (AUTHOR), Marion, Glenn1 (AUTHOR)
Source: PLoS Computational Biology. 6/16/2025, Vol. 21 Issue 6, p1-25. 25p.
Database: Academic Search Ultimate
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  Data: iPAR: A framework for modelling and inferring information about disease spread when the populations at risk are unknown.
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  Data: <searchLink fieldCode="AR" term="%22Catterall%2C+Stephen%22">Catterall, Stephen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> stephen@bioss.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Porphyre%2C+Thibaud%22">Porphyre, Thibaud</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marion%2C+Glenn%22">Marion, Glenn</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 6/16/2025, Vol. 21 Issue 6, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185970139
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        Value: 10.1371/journal.pcbi.1012622
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        Text: English
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              Text: 6/16/2025
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