Evidence map›Paper›PMID 41168555›Full record

ArticleImmunologic research2025

Seasonal pattern, global search trend, and public interest in arthritis from 2004 to 2022: an infodemiology study.

Yan-Yu Zhu, Xiao Hu, Xiao-Song Wang, Sheng Li, Peng Wang, Hai-Feng Pan

Abstract read
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Article in Immunologic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yan-Yu ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Xiao HuDepartment of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Xiao-Song WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Sheng LiDepartment of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Peng WangDepartment of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. wangpeng19910318@sina.com.
Hai-Feng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. panhaifeng@ahmu.edu.cn.

Funding

Anhui Provincial Natural Science Foundation 2108085Y26Anhui Provincial Natural Science Foundation 2308085QH288Anhui University Natural Science Research Project (CN) KJ2021A0294Research Fund of Anhui Institute of Translational Medicine 2021zhyx-B04Research Funds of Center for Big Data and Population Health of IHM JKS2022017the National Natural Science Foundation of China 82273710
6 · The paper itself

Abstract

Arthritis is a common condition that causes articular cartilage damage, joint tissue destruction, and ligament involvement, representing one of the leading causes of disability worldwide. This study aimed to analyze long-term trends and characterize seasonal patterns in global online information-seeking behavior related to arthritis and its associated terms using Google Trends data. We retrieved monthly relative search volume (RSV) data for the search terms "arthritis", "ankylosing spondylitis (AS)", "gout", "juvenile idiopathic arthritis (JIA)", "osteoarthritis (OA)", "psoriatic arthritis (PsA)", "rheumatoid arthritis (RA)", and "systemic lupus erythematosus (SLE)" from Jan 2004 to Dec 2022. Long-term trends were visualized using time-series plots, and seasonal patterns were assessed using cosinor analysis. Analysis of global RSV from 2004 to 2022 revealed distinct and divergent long-term trends across arthritis-related terms. The general term "arthritis," along with "OA" and "RA," displayed an initial decline until around 2010-2011, followed by a sustained recovery and gradual increase. In contrast, "AS," "gout," and "PsA" exhibited consistent upward trends throughout the period, while "JIA" progressively declined and "SLE" remained stable. More importantly, cosinor analysis confirmed statistically significant seasonal patterns (all P < 0.05) for "arthritis", "JIA", "OA", "PsA", and "RA", with amplitudes ranging from 2.28 to 4.22. These rhythms were characterized by a reproducible peak in late winter to early spring (acrophase: Feb 5-Apr 5) and a trough in late summer to early autumn. Thematic analysis of rising queries highlighted public focus on disease classification, clinical manifestations, and treatment-related information. Global online interest in arthritis, as measured by RSV, demonstrated significant long-term and seasonal patterns. The changes in the public's interest in arthritis-related terms can reflect the public awareness and potential medical needs. Our findings underscore the importance of infodemiology in public health monitoring.

Indexed as

ArthritisInformation Seeking BehaviorHumansInternetSearch EngineSeasonsArthritisInfodemiologyInformation seeking behaviorPublic healthSeasonal variation

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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 Socratic graph.