Back to search

Article

Modeling and forecasting of epidemic spreading of the SARS-CoV-2 based in the nonlinear stochastic dynamics

2020-05-19

Abstract excerpt

In this paper, we propose a stochastic model based on Itô diffusion as mathematical model for time evolution of new cases N(t) of the SARS-CoV-2 (COVID-19) in each day t. We propose a correspondent stochastic differential equation (SDE) analogs to classical differential equations for epidemic growing for some diseases as smallpox and typhoid fever. Furthermore, we made an analysis using the Fokker-Planck equation...

Topics

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

Identifiers and source

Literature Corpus work
0c3aa76d-c705-52e7-a50b-0458a382dfc8
DOI
10.21203/rs.3.rs-29533/v1
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.
Modeling and forecasting of epidemic spreading of the SARS-CoV-2 based in the nonlinear stochastic dynamicsDOI 10.21203/rs.3.rs-29533/v1
Select a neighboring publication to make it the new centre.