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(2022). Mapping Ex-Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data. <i>Journal of the Royal Statistical Society Series A: Statistics in Society</i>, <i>185</i>(4), 2121–2155. <a href=\"https://doi.org/10.1111/rssa.12866\">https://doi.org/10.1111/rssa.12866</a>","alphadin":"<span style=\"font-variant:small-caps;\">Seufert, Jacqueline D.</span> ; <span style=\"font-variant:small-caps;\">Python, Andre</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; <span style=\"font-variant:small-caps;\">Cisneros, Elías</span> ; <span style=\"font-variant:small-caps;\">Kis-Katos, Krisztina</span> ; <span style=\"font-variant:small-caps;\">Kneib, Thomas</span>: Mapping Ex-Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data. In: <i>Journal of the Royal Statistical Society Series A: Statistics in Society</i> Bd. 185, Oxford University Press / Wiley (2022), Nr. 4, S. 2121–2155","chicago":"Seufert, Jacqueline D., Andre Python, Christoph Weisser, Elías Cisneros, Krisztina Kis-Katos, and Thomas Kneib. “Mapping Ex-Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data.” <i>Journal of the Royal Statistical Society Series A: Statistics in Society</i> 185, no. 4 (2022): 2121–55. <a href=\"https://doi.org/10.1111/rssa.12866\">https://doi.org/10.1111/rssa.12866</a>.","short":"J.D. Seufert, A. Python, C. Weisser, E. Cisneros, K. Kis-Katos, T. Kneib, Journal of the Royal Statistical Society Series A: Statistics in Society 185 (2022) 2121–2155.","ama":"Seufert JD, Python A, Weisser C, Cisneros E, Kis-Katos K, Kneib T. Mapping Ex-Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data. <i>Journal of the Royal Statistical Society Series A: Statistics in Society</i>. 2022;185(4):2121-2155. doi:<a href=\"https://doi.org/10.1111/rssa.12866\">10.1111/rssa.12866</a>","mla":"Seufert, Jacqueline D., et al. “Mapping Ex-Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data.” <i>Journal of the Royal Statistical Society Series A: Statistics in Society</i>, vol. 185, no. 4, Oxford University Press / Wiley, 2022, pp. 2121–55, doi:<a href=\"https://doi.org/10.1111/rssa.12866\">10.1111/rssa.12866</a>."},"author":[{"first_name":"Jacqueline D.","last_name":"Seufert","full_name":"Seufert, Jacqueline D."},{"last_name":"Python","full_name":"Python, Andre","first_name":"Andre"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216471968","id":"264138","first_name":"Christoph","last_name":"Weisser","full_name":"Weisser, Christoph","orcid":"0000-0003-0616-1027"},{"full_name":"Cisneros, Elías","last_name":"Cisneros","first_name":"Elías"},{"full_name":"Kis-Katos, Krisztina","last_name":"Kis-Katos","first_name":"Krisztina"},{"first_name":"Thomas","last_name":"Kneib","full_name":"Kneib, Thomas"}],"publisher":"Oxford University Press / Wiley","page":"2121-2155","date_updated":"2026-06-02T09:06:02Z","intvolume":"       185","doi":"10.1111/rssa.12866","language":[{"iso":"eng"}],"year":"2022","_id":"6946"}]
