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Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data.

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Title: Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data.
Authors: Seufert, Jacqueline D.1 (AUTHOR), Python, Andre2 (AUTHOR) python.andre@gmail.com, Weisser, Christoph3 (AUTHOR), Cisneros, Elías4,5 (AUTHOR), Kis‐Katos, Krisztina3 (AUTHOR), Kneib, Thomas3 (AUTHOR)
Source: Journal of the Royal Statistical Society: Series A (Statistics in Society). Oct2022, Vol. 185 Issue 4, p2121-2155. 35p. 3 Diagrams, 8 Charts, 12 Graphs.
Database: Mathematics Source
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PubType: Academic Journal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1111/rssa.12866
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      – Code: eng
        Text: English
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        PageCount: 35
        StartPage: 2121
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      – TitleFull: Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data.
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            NameFull: Seufert, Jacqueline D.
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            NameFull: Python, Andre
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            NameFull: Weisser, Christoph
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            NameFull: Cisneros, Elías
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            NameFull: Kis‐Katos, Krisztina
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            – D: 01
              M: 10
              Text: Oct2022
              Type: published
              Y: 2022
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            – TitleFull: Journal of the Royal Statistical Society: Series A (Statistics in Society)
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