Visualizing the features of inflection point shown on a temporal bar graph using the data of COVID-19 pandemic.

ABSTRACT:

Background

Exponential-like infection growth leading to peaks (denoted by inflection points [IP] or turning points) is usually the hallmark of infectious disease outbreaks, including coronaviruses. To determine the IPs of the novel coronavirus (COVID-19), we applied the item response theory model to detect phase transitions for each country/region and characterize the IP feature on the temporal bar graph (TBG).

Methods

The IP (using the item difficulty parameter to locate) was verified by the differential equation in calculus and interpreted by the TBG with 2 virtual and real empirical data (i.e., from Collatz conjecture and COVID-19 pandemic in 2020). Comparisons of IPs, R2, and burst strength [BS = ln() denoted by the infection number at IP(Nip) and the item slope paramete

SUBMITTER: Ho SY 

PROVIDER: S-EPMC8812627 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature