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pandemics (version 0.1.0)

Monitoring a Developing Pandemic with Available Data

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) and .

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Version

Install

install.packages('pandemics')

Monthly Downloads

204

Version

0.1.0

License

GPL-2

Maintainer

Maria Dolores MartinezMiranda

Last Published

September 4th, 2024

Functions in pandemics (0.1.0)

pandemics-package

Monitoring a Developing Pandemic with Available Data.
covid

COVID-19 Outbreak Data in France
medtime

Median of the Time Spent in Hospital by Date of Admission.
forecasting

Forecasting infections, hospitalizations and deaths in hospital.
hazard2D

Local Linear Estimator of the Two-Dimensional Marker-Dependent Hazard.
rate2Dmiss

Local Linear Estimator of the Two-Dimensional Infection (or Hospitalization) Rate from Missing-Survival-Link Data.
hazard2Dmiss

Local Linear Estimator of the Two-Dimensional Marker-Dependent Hazard from Missing-Survival-Link Data.
poutcome

Probability of Outcome by Cause Specific.