Article

Relations of parameters for describing the epidemic of COVID―19 by the Kermack―McKendrick model

2020-03-03

Abstract excerpt

In order to quantitatively characterize the epidemic of COVID-19, useful relations among parameters describing an epidemic in general are derived based on the Kermack–McKendrick model. The first relation is 1/ τ grow = 1/ τ trans − 1/ τ inf , where τ grow is the time constant of the exponential growth of an epidemic, τ trans is the time for a pathogen to be transmitted from one patient to uninfected person, and th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a143f997-d14d-5f86-9e04-a3420b828502
DOI: 10.1101/2020.02.26.20027797

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Relations of parameters for describing the epidemic of COVID―19 by the Kermack―McKendrick modelDOI 10.1101/2020.02.26.20027797Read

The collective wisdom in the COVID-19 research: comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articlesSemantic proximity Read

On discrete time epidemic models in Kermack-McKendrick formSemantic proximity Read

Empiric model for short-time prediction of COVID-19 spreadingSemantic proximity Read

A Continuous Bayesian Model for the Stimulation COVID-19 Epidemic DynamicsSemantic proximity Read

Derivation of the effective reproduction number ℛ for COVID-19 in relation to mobility restrictions and confinementSemantic proximity Read

RELIABILITY METHODS FOR ANALYZING COVID-19 PANDEMIC SPREADING BEHAVIOR, LOCKDOWN IMPACT AND INFECTIOUSNESSSemantic proximity Read

A Study on the Infection Rate of COVID-19Semantic proximity Read

Understanding the Spread of COVID-19 in Japan: Preliminary Results from a System Dynamics ModelSemantic proximity Read

Investigating the Role of Environmental Transmission in COVID-19 Dynamics: A Mathematical Model Based StudySemantic proximity Read

Forecasting the Worldwide Spread of COVID-19 based on Logistic Model and SEIR ModelSemantic proximity Read

SEAMHCRD deterministic compartmental model based on clinical stages of infection for COVID-19 pandemic in Sultanate of OmanSemantic proximity Read

Mathematical Modelling of COVID-19 Pandemic Putting into consideration Pathogens in the EnvironmentSemantic proximity Read