pandemics: Monitoring a Developing Pandemic with Available Data
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 |
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