Spatiotemporal distribution of migraine in China: analyses based on baidu index.

ABSTRACT:

Background

In recent years, innovative approaches utilizing Internet data have emerged in the field of syndromic surveillance. These novel methods aim to aid in the early prediction of epidemics across various scenarios and diseases. It has been observed that these systems demonstrate remarkable accuracy in monitoring outbreaks even before they become apparent in the general population. Therefore, they serve as valuable complementary tools to augment existing methodologies. In this study, we aimed to investigate the spatiotemporal distribution of migraine in China by leveraging Baidu Index (BI) data.

Methods

Migraine-related BI data from January 2014 to December 2022 were leveraged, covering 301 city-level areas from 31 provincial-level regions by using the keyword "migraine

SUBMITTER: Lin L 

PROVIDER: S-EPMC10563210 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature