ArticleBMC public health2023
Spatiotemporal distribution of migraine in China: analyses based on baidu index.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 14 citations in OpenAlex.
- Safety, Tolerability, and Pharmacokinetics of Galcanezumab, an Anti-CGRP Antibody, in Healthy Chinese Participants.Clinical pharmacology in drug development · 2025Trial
- Spatio-temporal evolution characteristics, challenges and future perspectives of intelligent health eldercare industry development in China: a spatial analysis and policy text mining from 1982 to 2024.BMC health services research · 2026Article
- Assessing HPAI-H5 transmission risk across wild bird migratory flyways in the United States.Nature communications · 2026Article
- Trends in the Disease Burden of Migraine Among Women of Reproductive Age (15-49 Years) in Low- and Middle-Income Countries, 1990-2023.International journal of women's health · 2026Article
- Trends and age-period-cohort analysis of migraine incidence in China from 1990 to 2021.PloS one · 2026Article
- The U-Shape Association Between Noise and Individual Depression: Nationwide Longitudinal Evidence from Three Waves of CHARLS.Journal of urban health : bulletin of the New York Academy of Medicine · 2025Article
- The burden of migraine and predictions in the Asia-Pacific region, 1990-2021: a comparative analysis of China, South Korea, Japan, and Australia.The journal of headache and pain · 2025Article
- Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study.Journal of medical Internet research · 2025Observational
- Analysis and comparison of the trends in the burden of migraine in China and globally from 1990 to 2021, with a forecast to 2031.Frontiers in neurology · 2025Article
- Analysis of the situations and influencing factors of public anxiety in China: based on Baidu index data.Frontiers in public health · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 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.
methodsMigraine-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 ()". Prevalence data from the Global Burden of Disease study (GBD) were attracted to ensure the reliability of utilizing migraine-related BI data for research. Comprehensive analytical methods were then followed to investigate migraine's spatiotemporal distribution. The Seasonal-Trend decomposition procedure based on Loess (STL) was used to identify the temporal distribution. Spatial distribution was explored using the Getis-Ord Gi
resultsA strong association was observed between migraine-related BI and the prevalence data of migraine from GBD with a Spearman correlation coefficient of 0.983 (P = 4.96 × 10
conclusionsThis study reveals important findings on migraine distribution in China, underscoring the urgent need for effective prevention and management strategies.
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