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Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data
A rapid response to global infectious disease outbreaks is crucial to protect public health. Ex ante information on the spatial probability distribution of early infections can guide governments to better target protection efforts. We propose a two‐stage statistical approach to spatially map the ex...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350309/ https://www.ncbi.nlm.nih.gov/pubmed/35942194 http://dx.doi.org/10.1111/rssa.12866 |