Seasonal variation in the internet searches for gout: an ecological study

Kardeş, Sinan

doi:10.1007/s10067-018-4345-2

Cited by 39 publications

(40 citation statements)

References 42 publications

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“…Values of RSV range between 0 and 100, where 100 represents to the peak popularity for the search term [ 30 ]. The information on Google Trends and its data are presented in detail in the literature [ 17 , 18 ].…”

Section: Methodsmentioning

confidence: 99%

Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends

et al. 2020

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Introduction/objective The general public may utilize online information through search engines for implications and risks of some anti-rheumatic drugs. These drugs have been used in the management of coronavirus disease 2019 (COVID-19) and associated inflammatory sequelae or cytokine storm of infection. Therefore, the objective of this study was to investigate the population-level interest in anti-rheumatic drugs during the COVID-19 era, by analyzing changes in Google search frequency data. Method To obtain the relative search volume (RSV) of anti-rheumatic drugs, we queried Google Trends for 78 search terms representing non-steroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, antigout agents, conventional disease-modifying anti-rheumatic drugs (DMARDs), immunosuppressants, biologics, and Janus kinase (JAK) inhibitors within the USA. Three 8-week periods in 2020 (March 15–May 9), (May 10–July 4), and (July 5–August 29) representing the initial- and short-term periods were compared to overlapping periods of the preceding 3 years (2017–2019). Results We found statistically significant increases in RSV for colchicine, hydroxychloroquine, tocilizumab (and its brand name-Actemra), and anakinra, and statistically significant decreases among brand names of immunosuppressive agents (i.e., mycophenolate mofetil, azathioprine, cyclophosphamide, tacrolimus, cyclosporine) during both the initial- and short-term COVID-19 periods as compared to overlapping periods of the preceding 3 years. Conclusion There were significant increases in RSV of colchicine, hydroxychloroquine, tocilizumab, and anakinra during both initial- and short-term COVID-19 periods when compared to overlapping periods of the preceding 3 years reflecting a heightened level of information-seeking on these drugs during the pandemic. Rheumatologists should address this increase in informational demand. Further research assessing medium- and long-term interest in anti-rheumatic drugs is required to increase our knowledge on this new pandemic. Key Points •This study was aimed to investigate the population-level interest in anti-rheumatic drugs in the COVID-19 era, by analyzing changes in Google search frequency data. •Significant increases were seen in relative searches for colchicine, hydroxychloroquine, tocilizumab, and anakinra during both initial and short-term COVID-19 periods when compared to similar periods of 2017–2019 reflecting a heightened level of information-seeking on these drugs during the pandemic. •Rheumatologists should address this increase in informational demand for colchicine, hydroxychloroquine, tocilizumab, and anakinra.

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Section: Methodsmentioning

confidence: 99%

Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends

et al. 2020

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“…The cosinor analysis was used to test the seasonality of AS-related RSV as previously described 11. The least squares method was used to fit a sine wave to a time series in cosinor analysis.…”

Section: Methodsmentioning

confidence: 99%

Using internet search data to explore the global public concerns in ankylosing spondylitis

Mei

Mao

Cao

et al. 2020

Postgraduate Medical Journal

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ObjectiveThis study explored the changes of global public interest in internet search of ankylosing spondylitis (AS) based on Google Trends (GT) data, in order to reflect the characteristics of AS itself.MethodsGT was used to obtain the search popularity scores of the term ’AS’ on a global scale, between January 2004 and December 2018, under the ’health’ classification. Based on the global search data of AS provided by GT, the cosinor analysis was used to test whether there was seasonality in AS.ResultsIn general, AS related search volume demonstrated a decreasing trend from January 2004 to December 2014 and then remain stable from January 2015 to December 2018. No obvious seasonal variations were detected in AS related search volume (amplitude=1.54; phase: month=3.9; low point: month=9.9; p>0.025), which peaked in April and bottomed out in October. The top 17 rising topics were adalimumab, spondylolisthesis, Morbus, Vladimir Mikhailovich Bekhterev, autoimmune disease, rheumatoid arthritis, ankylosis, HLA- B27 positive, Crohn’s disease, rheumatology, spondylosis, arthritis, uveitis, rheumatism, sacroiliac, psoriatic arthritis and spondylitis.ConclusionsGlobally, there is no significant seasonal variation in GT for AS. The top fast-growing topics related to AS may be beneficial for doctors to provide targeted health education of the disease to patients and their families.

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“…In order to facilitate the comparison of different search terms, Google Trends uses a scale from 0 to 100 to represent the relative search volume (RSV) of a search term for the time period and geographical location. To avoid selection bias, duplicate searches by the same user within a short period of time would be excluded from Google Trends 11 12…”

Section: Methodsmentioning

confidence: 99%

“…The large amount of data generated from search queries on Google can be extensively analysed by Google Trends, a free available online tool that provides data on graphical, spatial and temporal patterns in search volumes for specified terms. In the past few years, accumulating studies have collected data from Google Trends to explore seasonality or other time-changing patterns of various health problems, such as gout,11 bruxism,12 cellulitis,13 major mental illnesses14 and autoimmune diseases 15–19. These prior studies suggested that monitoring and analysing web-based behaviours can provide valuable insights into the assessment of disease burden and prediction of health-related issues.…”

Section: Introductionmentioning

confidence: 99%

Seasonality and global public interest in psoriasis: an infodemiology study

Dan

et al. 2019

Postgraduate Medical Journal

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ObjectiveAlthough patients with psoriasis frequently report seasonal changes in their symptoms, the seasonality of psoriasis has rarely been explored. This study aims to investigate the seasonal pattern of and global public interest in psoriasis using Google search data.MethodsInternet search data were collected from Google Trends. Data on the relative search volume (RSV) from January 2004 to December 2018 were retrieved using the term psoriasis. Cosinor analyses were conducted to examine the seasonality of psoriasis using data from two southern hemisphere countries (Australia and New Zealand) and four northern hemisphere countries (USA, Canada, UK and Ireland).ResultsOverall, searches for psoriasis steadily decreased between 2004 and 2010, and then rose from 2011 to 2018. On cosinor analyses, RSV of ‘psoriasis’ displayed a significant seasonal variation worldwide (p<0.025). Further analyses confirmed the seasonality of psoriasis-related RSV in Australia, New Zealand, USA, Canada, UK and Ireland (p<0.025 for all), with peaks in the late winter/early spring months and troughs in the late summer/early autumn months. The top 11 rising topics were calcipotriol/betamethasone dipropionate, ustekinumab, apremilast, shampoo, eczema, guttate psoriasis, seborrhoeic dermatitis, dermatitis, psoriatic arthritis, atopic dermatitis and arthritis.ConclusionThere was a significant seasonal pattern for psoriasis, with peaks in the late winter/early spring and troughs in the late summer/early autumn. Further studies are warranted to confirm the seasonal pattern of psoriasis using clinical data and to explore the underlying mechanisms.

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Seasonal variation in the internet searches for gout: an ecological study

Cited by 39 publications

References 42 publications

Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends

Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends

Using internet search data to explore the global public concerns in ankylosing spondylitis

Seasonality and global public interest in psoriasis: an infodemiology study

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