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Modelling African swine fever virus spread in pigs using time‐respective network data: Scientific support for decision makers.

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Title: Modelling African swine fever virus spread in pigs using time‐respective network data: Scientific support for decision makers.
Authors: Andraud, Mathieu1 (AUTHOR) mathieu.andraud@anses.fr, Hammami, Pachka1 (AUTHOR), H. Hayes, Brandon1,2 (AUTHOR), A. Galvis, Jason3 (AUTHOR), Vergne, Timothée2 (AUTHOR), Machado, Gustavo3 (AUTHOR), Rose, Nicolas1 (AUTHOR)
Source: Transboundary & Emerging Diseases. Sep2022, Vol. 69 Issue 5, pe2132-e2144. 13p.
Database: Academic Search Ultimate
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An: 159326513
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  Data: Modelling African swine fever virus spread in pigs using time‐respective network data: Scientific support for decision makers.
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  Data: <searchLink fieldCode="JN" term="%22Transboundary+%26+Emerging+Diseases%22">Transboundary & Emerging Diseases</searchLink>. Sep2022, Vol. 69 Issue 5, pe2132-e2144. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159326513
RecordInfo BibRecord:
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        Value: 10.1111/tbed.14550
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: e2132
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      – TitleFull: Modelling African swine fever virus spread in pigs using time‐respective network data: Scientific support for decision makers.
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            NameFull: Andraud, Mathieu
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            NameFull: Hammami, Pachka
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            NameFull: Machado, Gustavo
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            – D: 01
              M: 09
              Text: Sep2022
              Type: published
              Y: 2022
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