Evidence map›Paper›PMID 38308238›Full record

ArticleBMC public health2024

Online public concern about allergic rhinitis and its association with COVID-19 and air quality in China: an informative epidemiological study using Baidu index.

Yi Yu, Qinzhun Zhang, Xinmeng Yao, Jinghua Wu, Jialu He, Yinan He, Huaqiang Jiang, Dongxin Lu, Chengyin Ye

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Yi YuDepartment of Epidemiology and Biostatistics, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Qinzhun ZhangDepartment of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Xinmeng YaoDepartment of Epidemiology and Biostatistics, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Jinghua WuDepartment of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Jialu HeDepartment of Epidemiology and Biostatistics, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Yinan HeDepartment of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Huaqiang JiangHealth Management System Engineering Center, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Dongxin LuHealth Management System Engineering Center, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China. zn19980@sina.com.
Chengyin YeDepartment of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China. yechengyin@hznu.edu.cn.
Hangzhou Normal University · CN

Funding

National Key Research and Development Program of China 2020C03107the Basic Public Welfare Research Program of Zhejiang Province LGF22H260004
6 · The paper itself

Abstract

backgroundAllergic rhinitis is a common health concern that affects quality of life. This study aims to examine the online search trends of allergic rhinitis in China before and after the COVID-19 epidemic and to explore the association between the daily air quality and online search volumes of allergic rhinitis in Beijing.

methodsWe extracted the online search data of allergic rhinitis-related keywords from the Baidu index database from January 23, 2017 to June 23, 2022. We analyzed and compared the temporal distribution of online search behaviors across different themes of allergic rhinitis before and after the COVID-19 pandemic in mainland China, using the Baidu search index (BSI). We also obtained the air quality index (AQI) data in Beijing and assessed its correlation with daily BSIs of allergic rhinitis.

resultsThe online search for allergic rhinitis in China showed significant seasonal variations, with two peaks each year in spring from March to May and autumn from August and October. The BSI of total allergic rhinitis-related searches increased gradually from 2017 to 2019, reaching a peak in April 2019, and declined after the COVID-19 pandemic, especially in the first half of 2020. The BSI for all allergic rhinitis themes was significantly lower after the COVID-19 pandemic than before (all p values < 0.05). The results also revealed that, in Beijing, there was a significant negative association between daily BSI and AQI for each allergic rhinitis theme during the original variant strain epidemic period and a significant positive correlation during the Omicron variant period.

conclusionBoth air quality and the interventions used for COVID-19 pandemic, including national and local quarantines and mask wearing behaviors, may have affected the incidence and public concern about allergic rhinitis in China. The online search trends can serve as a valuable tool for tracking real-time public concerns about allergic rhinitis. By complementing traditional disease monitoring systems of health departments, these search trends can also offer insights into the patterns of disease outbreaks. Additionally, they can provide references and suggestions regarding the public's knowledge demands related to allergic rhinitis, which can further be instrumental in developing targeted strategies to enhance population-based disease education on allergic diseases.

Indexed as

Air PollutionCOVID-19Rhinitis, AllergicChinaHumansPandemicsQuality of LifeSARS-CoV-2Air quality indexAllergic rhinitisBaidu indexCOVID-19Mask wearing

Identifiers

PMID38308238
PMCPMC10837907
OpenAlexW4391486443

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.