Back to search

Article

Next-Generation Matrices and Basic Reproductive Numbers for All Phases of the Coronavirus Disease

2020-05-08

Abstract excerpt

During the early phase of COVID-19, the transmissibility of the coronavirus disease was estimated using the classical SIR and SEIR models. However, with the advent of some controlling measures in its informative stages, these classical compartmental models have been ameliorated to provide accurate insight of the coronavirus disease. The paper seeks to derive the basic reproductive formulas for these improved model...

Topics

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

Identifiers and source

Literature Corpus work
46132c3c-8c8f-519e-b0fd-16fc4e37b688
DOI
10.2139/ssrn.3595958
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Next-Generation Matrices and Basic Reproductive Numbers for All Phases of the Coronavirus DiseaseDOI 10.2139/ssrn.3595958
SEAMHCRD deterministic compartmental model based on clinical stages of infection for COVID-19 pandemic in Sultanate of OmanSemantic proximity
Investigating the Role of Environmental Transmission in COVID-19 Dynamics: A Mathematical Model Based StudySemantic proximity
Mathematical Modelling of COVID-19 Pandemic Putting into consideration Pathogens in the EnvironmentSemantic proximity
Mathematical Analysis of an Age- and Socioeconomic-Stratified COVID-19 Transmission ModelSemantic proximity
Two new compartmental epidemiological models and their equilibriaSemantic proximity
SEIR model for COVID-19 dynamics incorporating the environment and social distancingSemantic proximity
An SEIARD epidemic model for COVID-19 in Mexico: mathematical analysis and state-level forecastSemantic proximity
A new mathematical modelling perspective with global stability of COVID-19Semantic proximity
Prediction of Daily New COVID-19 Cases - Difficulties and Possible SolutionsSemantic proximity
Anchoring the mean generation time in the SEIR to mitigate biases in ℜ <sub>0</sub> estimates due to uncertainty in the distribution of the epidemiological delaysSemantic proximity
A stochastic SEIHR model for COVID-19 data fluctuationsSemantic proximity
Endemic characteristics of SARS-CoV-2 infectionSemantic proximity
Select a neighboring publication to make it the new centre.