ArticleRisk management and healthcare policy2021
Using the Internet Big Data to Investigate the Epidemiological Characteristics of Allergic Rhinitis and Allergic Conjunctivitis.
Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Research on pollen allergy in Fuzhou, China: from the online public concern surveys to pollen monitoring.Frontiers in public health · 2026Article
- Shedding light on pharmacoepidemiology of eye diseases: a cohort study in Western Iran.Scientific reports · 2025Article
- The impact of COVID-19 on hay fever treatment in Japan: A retrospective cohort study based on the Japanese claims database.Clinical and translational allergy · 2024Article
- A Retrospective Cohort Study on the Comorbidity in 19,264 Chinese Patients of Different Ages with Urticaria.Acta dermato-venereologica · 2024Article
- Online public attention toward allergic rhinitis in Wuhan, China: Infodemiology study using Baidu index and meteorological data.Frontiers in public health · 2022Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
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Abstract
backgroundTo explore the epidemiological characteristics of allergic rhinitis (AR) and allergic conjunctivitis (AC) based on the Internet big data.
methodsThe Baidu index (BDI) of keywords "allergic rhinitis" and "allergic conjunctivitis" in Mandarin, the daily pollen concentration (PC) released by the Beijing Meteorological Bureau and the volumes of outpatient visits (OV) of the Beijing Tongren Hospital (Beijing) and the Third Affiliated Hospital of Sun Yat-sen University (Guangzhou) from 2017 to 2020 were obtained. The temporal and spatial changes of AR and AC were discussed. The correlations between BDI and PC/OV were analyzed by Spearman correlation analysis.
resultsThe trends of BDI of "AR"/"AC" in Beijing showed obvious seasonal variations, but not in Guangzhou. The BDI of "AR" and "AC" was consistent with the OV in both cities (r
conclusionThe BDI could reflect the real-world situation to some extent and has the potential to predict the epidemiological characteristics of AR and AC. The BDI and OV of AR decreased significantly, but those of AC were still at a high level, during the COVID-19 pandemic, in the environment where most people in Beijing and Guangzhou wore masks without eye protection.
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