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>.

Package details

AuthorMaría Luz Gámiz [aut, cph], Enno Mammen [aut, cph], María Dolores Martínez-Miranda [aut, cre, cph], Jens Perch Nielsen [aut, cph]
MaintainerMaría Dolores Martínez-Miranda <mmiranda@ugr.es>
LicenseGPL-2
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pandemics")

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pandemics documentation built on Sept. 11, 2024, 6:38 p.m.