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Online public attention toward allergic rhinitis in Wuhan, China

Infodemiology study using Baidu index and meteorological data

Bibliographic Data

ID22085397
AuthorsYunfei Wang (0000-0001-7555-5308, Wuhan University), Ziang Gao (0000-0002-7952-5058, Wuhan University), Hao Lv (0000-0003-0890-6862, Wuhan University), Yu Xu (0000-0003-2942-3739, Wuhan University, corresponding author)
Year2022
Volume10
Pages971525-971525
Publication date2022-10-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.971525
PMID36262246
OpenAlexW4300961168
LanguageEN
Citations received3
References cited38

Background: With the popularization of the Internet and medical knowledge, more and more people are learning about allergic rhinitis (AR) on the Internet. Objective: This study aims to analyze the epidemiological characteristics and online public attention to AR in Wuhan, China, utilizing the most popular search engine in mainland China and meteorological data of Wuhan. Methods: To study the Internet attention and epidemiological characteristics of AR in Wuhan, the search volume (SV) of "Allergic Rhinitis" in Mandarin and AR-related search terms from 1 January 2014 through 31 December 2021 were recorded. For user interest, the search and demand data were collected and analyzed. Results: The yearly average Baidu SV of AR in both Wuhan and China increased year by year but began to decline gradually after the COVID-19 pandemic. Baidu SV of AR in Wuhan exhibited significant seasonal variation, with the first peak was from March to May and the second peak occurring between September and October. Correlation analysis revealed a moderate positive correlation between the monthly average SV of "Allergic Rhinitis" and "Mites" and "Mites + Pollen Allergy" in Wuhan, a weak positive correlation between the monthly average SV of "Allergic Rhinitis" and "Pollen Allergy," and a positive correlation between monthly SV of "Allergic Rhinitis" and the meteorological index of pollen allergy (MIPA). Conclusion: The attention given to the topic on the internet, as measured by the search volume, was reflective of the situation in Wuhan, China. It has the potential to predict the epidemiological characteristics of AR and help medical professionals more effectively plan seasonal AR health education

Allergy · China · Environmental health · Geography · Mainland China · Pollen · Allergic Rhinitis and Sensitization · Asthma and respiratory diseases · Data-Driven Disease Surveillance · Demography · Medicine · Epidemiology · Immunology · Internal Medicine

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Unique citing works3
Citations per year1
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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