Spatio-temporal modelling of measles risk in the Provinces of Central Luzon, CALABARZON, and MIMAROPA – linking the impact of climate-based factors
This study utilizes Bayesian spatio-temporal modeling techniques to assess the risk of measles in the provinces of Central Luzon, CALABARZON, and MIMAROPA, the Philippines. Using Integrated nested Laplace approximation, various model structures were explored to capture the spatial, temporal, and int...
| Publié dans: | Philippine Journal of Science Vol. 153, no. 6A (Dec. 2024), 2079-2086 |
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| Format: | Article |
| Langue: | English |
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2024
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