Related Experiment Video
Updated: Jan 12, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Seasonal pattern, global search trend, and public interest in arthritis from 2004 to 2022: an infodemiology study
Yan-Yu Zhu1,2, Xiao Hu3,2, Xiao-Song Wang1,4
1Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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.
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Factors Affecting Illness
For instance, risk factors are connected to illness,...
The JAK-STAT Signaling Pathway
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies
Steps in Outbreak Investigation

