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Full dynamic system to describe and forecast the spread and the severity of a developing pandemic, based on available data. These data are number of infections, hospitalizations, deaths and recoveries notified each day. The system consists of three transitions, infection-infection, infection-hospital and hospital-death/recovery. The intensities of these transitions are dynamic and estimated using non-parametric local linear estimators. The package can be used to provide forecasts and survival indicators such as the median time spent in hospital and the probability that a patient who has been in hospital for a number of days can leave it alive. Methods are described in Gámiz, Mammen, Martínez-Miranda, and Nielsen (2024) <doi:10.48550/arXiv.2308.09918> and <doi:10.48550/arXiv.2308.09919>.
| Version: | 0.1.0 |
| Published: | 2024-09-04 |
| DOI: | 10.32614/CRAN.package.pandemics |
| Author: | María Luz Gámiz [aut, cph], Enno Mammen [aut, cph], María Dolores Martínez-Miranda [aut, cre, cph], Jens Perch Nielsen [aut, cph] |
| Maintainer: | María Dolores Martínez-Miranda <mmiranda at ugr.es> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | pandemics results |
| Reference manual: | pandemics.pdf |
| Package source: | pandemics_0.1.0.tar.gz |
| Windows binaries: | r-devel: pandemics_0.1.0.zip, r-release: pandemics_0.1.0.zip, r-oldrel: pandemics_0.1.0.zip |
| macOS binaries: | r-release (arm64): pandemics_0.1.0.tgz, r-oldrel (arm64): pandemics_0.1.0.tgz, r-release (x86_64): pandemics_0.1.0.tgz, r-oldrel (x86_64): pandemics_0.1.0.tgz |
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