Back to search

Article

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

2020-03-30

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> With the outbreak of coronavirus disease 2019 (COVID-19), a sudden case increase in late February 2020 led to deep concern globally. Italy, South Korea, Iran, France, Germany, Spain, the US and Japan are probably the countries with the most severe outbreaks. Collecting epidemiological data and predicting epidemic trends are important for the development and measurement of publ...

Topics

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

Identifiers and source

Literature Corpus work
d3342a42-a7fe-59a1-930a-f9e367853be3
DOI
10.1101/2020.03.26.20044289
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.
Forecasting the Worldwide Spread of COVID-19 based on Logistic Model and SEIR ModelDOI 10.1101/2020.03.26.20044289
Select a neighboring publication to make it the new centre.