Ontology highlight
ABSTRACT:
SUBMITTER: Britton T
PROVIDER: S-EPMC6364646 | biostudies-other | 2019 Jan
REPOSITORIES: biostudies-other
Britton Tom T Scalia Tomba Gianpaolo G
Journal of the Royal Society, Interface 20190101 150
When analysing new emerging infectious disease outbreaks, one typically has observational data over a limited period of time and several parameters to estimate, such as growth rate, the basic reproduction number R<sub>0</sub>, the case fatality rate and distributions of serial intervals, generation times, latency and incubation times and times between onset of symptoms, notification, death and recovery/discharge. These parameters form the basis for predicting a future outbreak, planning preventi ...[more]