# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "pandemics" in publications use:' type: software license: GPL-2.0-only title: 'pandemics: Monitoring a Developing Pandemic with Available Data' version: 0.1.0 doi: 10.32614/CRAN.package.pandemics abstract: 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 . authors: - family-names: Gámiz given-names: María Luz email: mgamiz@ugr.es - family-names: Mammen given-names: Enno email: mammen@math.uni-heidelberg.de - family-names: Martínez-Miranda given-names: María Dolores email: mmiranda@ugr.es - family-names: Nielsen given-names: Jens Perch email: Jens.Nielsen.1@city.ac.uk repository: https://mmiranda-ugr.r-universe.dev commit: b5f808cd99aa8bb3f33e801f73fe927bcbd770cb date-released: '2024-09-05' contact: - family-names: Martínez-Miranda given-names: María Dolores email: mmiranda@ugr.es