Non-linear correlation analysis between internet searches and epidemic trends.

ABSTRACT:

Introduction

This study uses a non-linear model to explore the impact mechanism of change rates between internet search behavior and confirmed COVID-19 cases. The research background focuses on epidemic monitoring, leveraging internet search data as a real-time tool to capture public interest and predict epidemic development. The goal is to establish a widely applicable mathematical framework through the analysis of long-term disease data.

Methods

Data were sourced from the Baidu Index for COVID-19-related search behavior and confirmed COVID-19 case data from the National Health Commission of China. A logistic-based non-linear differential equation model was employed to analyze the mutual influence mechanism between confirmed case numbers and the rate of change in search beh

SUBMITTER: He Y 

PROVIDER: S-EPMC12006183 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature