Measuring the worldwide spread of COVID-19 using a comprehensive modeling method.

ABSTRACT:

Background

With the global spread of COVID-19, detecting high-risk countries/regions timely and dynamically is essential; therefore, we sought to develop automatic, quantitative and scalable analysis methods to observe and estimate COVID-19 spread worldwide and further generate reliable and timely decision-making support for public health management using a comprehensive modeling method based on multiple mathematical models.

Methods

We collected global COVID-19 epidemic data reported from January 23 to September 30, 2020, to observe and estimate its possible spread trends. Countries were divided into three outbreak levels: high, middle, and low. Trends analysis was performed by calculating the growth rate, and then country grouping was implemented using group-based trajector

SUBMITTER: Zhou X 

PROVIDER: S-EPMC10504693 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature