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pandemics  

Monitoring a Developing Pandemic with Available Data
View on CRAN: Click here


Download and install pandemics package within the R console
Install from CRAN:
install.packages("pandemics")

Install from Github:
library("remotes")
install_github("cran/pandemics")

Install by package version:
library("remotes")
install_version("pandemics", "0.1.0")



Attach the package and use:
library("pandemics")
Maintained by
María Dolores Martínez-Miranda
[Scholar Profile | Author Map]
First Published: 2024-09-04
Latest Update: 2024-09-04
Description:
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>.
How to cite:
María Dolores Martínez-Miranda (2024). pandemics: Monitoring a Developing Pandemic with Available Data. R package version 0.1.0, https://cran.r-project.org/web/packages/pandemics. Accessed 20 Feb. 2025.
Previous versions and publish date:
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