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

2020 ◽  
pp. postgradmedj-2019-137407
Author(s):  
Yong-Jun Mei ◽  
Yan-Mei Mao ◽  
Fan Cao ◽  
Tao Wang ◽  
Zhi-Jun Li
Keyword(s):  
Rheumatoid Arthritis ◽  
Ankylosing Spondylitis ◽  
Public Interest ◽  
Global Scale ◽  
Hla B27 ◽  
Internet Search ◽  
Search Volume ◽  
Significant Seasonal Variation ◽  
Search Data ◽  
Public Concerns

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.

Global public interest in systemic lupus erythematosus: an investigation based on internet search data

Lupus ◽  
2019 ◽  
Vol 28 (12) ◽  
pp. 1435-1440 ◽  
Author(s):  
G C Wu ◽  
F Cao ◽  
H H Shen ◽  
L Q Hu ◽  
Y Hu ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Seasonal Variation ◽  
Public Interest ◽  
Lupus Erythematosus ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Volume ◽  
Significant Seasonal Variation ◽  
Search Data ◽  
Relative Search Volume

Objective This study aims at investigating the global public interest in seeking information about systemic lupus erythematosus (SLE) using Google Trends (GT). Methods An electronic search was performed using GT with the search term lupus as well as the option of disease from January 2004 to December 2018. Cosinor analysis was applied to detect the seasonality of SLE-related relative search volume (RSV). In addition, analysis on SLE-related topics including “hot topics” and “top rising topics” was also conducted. Results Overall, SLE-related RSV showed a decreasing trend from January 2004 to December 2013 and then demonstrated a slowly increasing trend from January 2014 to December 2018. Cosinor test showed no significant seasonal variation in SLE-related RSV ( p > .025). RSV peaked in May and reached the trough in November. The top seven rising topics were Selena Gomez, Sjögren syndrome, autoimmunity, rheumatoid arthritis, rheumatology, antinuclear antibody and autoimmune disease. Conclusion The results from GT analysis showed slowly increasing internet searches for SLE in recent years. This trend was followed by a peak of RSV in May and reached its lowest level in November. However, globally, the results did not reveal a significant seasonal variation in GT for SLE. Additionally, the top fast-growing topics regarding SLE may be valuable for doctors and nurses to provide timely education of the disease to patients, as well as promote the development of public health.

Two faces of an illness: ankylosing spondylitis developed after rheumatoid arthritis

2009 ◽  
Vol 150 (43) ◽  
pp. 2000-2003
Author(s):  
Eszter Varga ◽  
Ágnes Petró ◽  
Rita Jáger ◽  
László Varga
Keyword(s):  
Rheumatoid Arthritis ◽  
Ankylosing Spondylitis ◽  
Hla B27 ◽  
Hla Dr ◽  
Spondylarthritis Ankylopoetica

A szerzők egy 35 éves nőbeteg kórtörténetét ismertetik, akinél 29 éves korában szeronegatív rheumatoid arthritist igazoltak a reumatológiai osztályon. A betegség remisszióját sikeres graviditás követte, majd két évvel később kizárólag axiális tüneteket mutató spondylarthritist diagnosztizáltak. A major hisztokompatibilitási komplex vizsgálata során a hagyományos szerológiai módszerekkel a HLA B27 spondylarthritis ankylopoeticára jellemző, valamint HLA DR1 rheumatoid arthritisre jellemző haplotípust mutattak ki. A HLA DRB-polimorfizmus vizsgálata során a rheumatoid arthritis létrejöttében és kórlefolyásában szerepet játszó HLA DR B1 0101 allél jelenlétét igazolták. A betegben tehát ritka kombinációként a spondylarthritis ankylopoetica és a rheumatoid arthritis létrejöttében is szerepet játszó HLA-formáció egyaránt megtalálható volt.

Seasonal variations and public search interests in Toxoplasma: a 16-year retrospective analysis of big data on Google Trends

2020 ◽  
Author(s):  
Lei Liu ◽  
Peng Wang ◽  
Su-Qin Jiang ◽  
Zi-Rong Zhong ◽  
Ting-Zheng Zhan ◽  
...  
Keyword(s):  
New Zealand ◽  
Google Trends ◽  
Seasonal Patterns ◽  
Search Term ◽  
Internet Search ◽  
Search Volume ◽  
The Usa ◽  
Search Data ◽  
Relative Search Volume ◽  
The Uk

Abstract Background This study aims to understand whether there is a seasonal change in the internet search interest for Toxoplasma by using the data derived from Google Trends (GT). Methods The present study searched for the relative search volume (RSV) for the search term ‘Toxoplasma’ in GT within six major English-speaking countries (Australia, New Zealand [Southern Hemisphere] and Canada, Ireland, the UK and the USA [Northern Hemisphere] from 1 January 2004 to 31 December 2019, utilizing the category of ‘health’. Data regarding the RSV of Toxoplasma was obtained and further statistical analysis was performed in R software using the ‘season’ package. Results There were significantly seasonal patterns for the RSV of the search term ‘Toxoplasma’ in five countries (all p<0.05), except for the UK. A peak in December–March and a trough in July–September (Canada, Ireland, the UK and the USA) were observed, while a peak in June/August and a trough in December/February (Australia, New Zealand) were also found. Moreover, the presence of seasonal patterns regarding RSV for ‘Toxoplasma’ between the Southern and Northern Hemispheres was also found (both p<0.05), with a reversed meteorological month. Conclusions Overall, our study revealed the seasonal variation for Toxoplasma in using internet search data from GT, providing additional evidence on seasonal patterns in Toxoplasma.

scholarly journals Monitoring COVID-19 related public Interest and population Health Literacy in South Asia: An Internet Search-Interest Based Model

2020 ◽  
Author(s):  
Hasan Symum ◽  
Kh M. Ali Sagor
Keyword(s):  
Health Literacy ◽  
South Asia ◽  
Population Health ◽  
South Asian ◽  
Public Interest ◽  
Time Lag ◽  
Personal Hygiene ◽  
Internet Search ◽  
Asian Countries ◽  
Search Volume

AbstractBackgroundInformation epidemiology based on internet search data can be used to model COVID-19 pandemic progressions and monitor population health literacy. However, the applicability of internet searches to monitor COVID-19 infections and public health awareness in South Asian countries are unclear.ObjectivesTo assess the association of public interest and health literacy in COVID-19 with the number of infected cases South Asian countries.Material and MethodsGoogle Trends data from January to March 2020 were used to correlate public interest and literacy with official data on COVID-19 cases using the relative search volume (RSV) index. Public interest in COVID-19 was retrieved with the search topic “Coronavirus (Virus)”. Similarly, search terms “hand wash”, “face mask”, “hand sanitizer”, “face shield” and “gloves” were used to retrieve RSV indices as a surrogate of health literacy. Country-level correlation analyses were performed for a time lag between 30 and +30 days.ResultsThere were significant positive correlations between COVID-19 related public interest and daily confirmed cases in countries expect Nepal, Bhutan, and Sri Lanka. The highest public interest in South Asian Countries was on average 12 days before the local maximum of new confirmed cases. Similarly, web searches related to personal hygiene and preventive measures in south Asia correlated to the number of confirmed cases as well as national restriction measures.ConclusionPublic interest indicated by RSV indices can help to monitor the progression of an outbreak such as the current COVID-19 pandemic particularly in countries with a lack of diagnostic and surveillance capacity.

HLA-B27 is a Risk Factor for Rheumatoid Arthritis: Suggestion for an Evidence-based Update

2020 ◽  
Vol 17 (1) ◽  
pp. 7-10
Author(s):  
Seyyed Amir Yasin Ahmadi ◽  
Reza Mohammadrezaei-Khorramabadi ◽  
Saber Abbaszadeh ◽  
Jafar Rezaian ◽  
Farhad Shahsavar
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factor ◽  
Ankylosing Spondylitis ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Human Leukocyte ◽  
Evidence Based ◽  
Hla B27 ◽  
Leukocyte Antigen ◽  
And Personalized Medicine

Previously, the association of human leukocyte antigen (HLA)-B27 with ankylosing spondylitis has been investigated as original and meta-analysis studies. However, the association of HLA-B27 with rheumatoid arthritis is not currently investigated as a meta-analysis. Hence, in this letter, a brief meta-analysis on this association will be performed. Although there were some studies on the association of RA and HLA-B27, however, there was not a pooled odds ratio reported in textbooks. Based on this brief metaanalysis, number 2.687 can be reported as the odds ratio of this association. It shows that this association is neither sensitive nor specific, but can be an idea for pharmacogenomics and personalized medicine as a potential risk factor. Such other associations should be reported numerically and updated in textbooks.

Seasonality and global public interest in psoriasis: an infodemiology study

2019 ◽  
Vol 96 (1133) ◽  
pp. 139-143 ◽  
Author(s):  
Qian Wu ◽  
Zhiwei Xu ◽  
Yi-Lin Dan ◽  
Chan-Na Zhao ◽  
Yan-Mei Mao ◽  
...  
Keyword(s):  
New Zealand ◽  
Public Interest ◽  
Seasonal Pattern ◽  
Late Summer ◽  
Early Spring ◽  
Late Winter ◽  
Search Volume ◽  
Early Autumn ◽  
Search Data ◽  
Google Search

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.

scholarly journals Seasonality Patterns of Internet Searches on Mental Health: Exploratory Infodemiology Study (Preprint)

2018 ◽  
Author(s):  
Noam Soreni ◽  
Duncan H Cameron ◽  
David L Streiner ◽  
Karen Rowa ◽  
Randi E McCabe
Keyword(s):  
Mental Health ◽  
Public Interest ◽  
Information Seeking ◽  
Service Planning ◽  
Seasonal Patterns ◽  
Internet Search ◽  
Compulsive Disorder ◽  
Search Volume ◽  
Wide Range ◽  
Internet Searches

BACKGROUND The study of seasonal patterns of public interest in psychiatric disorders has important theoretical and practical implications for service planning and delivery. The recent explosion of internet searches suggests that mining search databases yields unique information on public interest in mental health disorders, which is a significantly more affordable approach than population health studies. OBJECTIVE This study aimed to investigate seasonal patterns of internet mental health queries in Ontario, Canada. METHODS Weekly data on health queries in Ontario from Google Trends were downloaded for a 5-year period (2012-2017) for the terms “schizophrenia,” “autism,” “bipolar,” “depression,” “anxiety,” “OCD” (obsessive-compulsive disorder), and “suicide.” Control terms were overall search results for the terms “health” and “how.” Time-series analyses using a continuous wavelet transform were performed to isolate seasonal components in the search volume for each term. RESULTS All mental health queries showed significant seasonal patterns with peak periodicity occurring over the winter months and troughs occurring during summer, except for “suicide.” The comparison term “health” also exhibited seasonal periodicity, while the term “how” did not, indicating that general information seeking may not follow a seasonal trend in the way that mental health information seeking does. CONCLUSIONS Seasonal patterns of internet search volume in a wide range of mental health terms were observed, with the exception of “suicide.” Our study demonstrates that monitoring internet search trends is an affordable, instantaneous, and naturalistic method to sample public interest in large populations and inform health policy planners.

Association of hla-b39 with hla-b27-negative ankylosing spondylitis and pauciarticular juvenile rheumatoid arthritis in japanese patients

1995 ◽  
Vol 38 (11) ◽  
pp. 1672-1677 ◽  
Author(s):  
Akihiro Yamaguchi ◽  
Naoyuki Tsuchiya ◽  
Hiroshi Mitsui ◽  
Michiko Shiota ◽  
Atsuko Ogawa ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Ankylosing Spondylitis ◽  
Juvenile Rheumatoid Arthritis ◽  
Japanese Patients ◽  
Hla B27

scholarly journals Google Searches and Suicide Rates in Spain, 2004-2013: Correlation Study

10.2196/10919 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e10919 ◽  
Author(s):  
Alberto Jimenez ◽  
Miguel-Angel Santed-Germán ◽  
Victoria Ramos
Keyword(s):  
Linear Regression ◽  
Web Search ◽  
Correlation Study ◽  
Search Term ◽  
Internet Search ◽  
Men And Women ◽  
Suicide Rates ◽  
Search Volume ◽  
Cross Correlation Analysis ◽  
Search Data

Background Different studies have suggested that web search data are useful in forecasting several phenomena from the field of economics to epidemiology or health issues. Objective This study aimed to (1) evaluate the correlation between suicide rates released by the Spanish National Statistics Institute (INE) and internet search trends in Spain reported by Google Trends (GT) for 57 suicide-related terms representing major known risks of suicide and an analysis of these results using a linear regression model and (2) study the differential association between male and female suicide rates published by the INE and internet searches of these 57 terms. Methods The study period was from 2004 to 2013. In this study, suicide data were collected from (1) Spain’s INE and (2) local internet search data from GT, both from January 2004 to December 2013. We investigated and validated 57 suicide-related terms already tested in scientific studies before 2015 that would be the best predictors of new suicide cases. We then evaluated the nowcasting effects of a GT search through a cross-correlation analysis and by linear regression of the suicide incidence data with the GT data. Results Suicide rates in Spain in the study period were positively associated (r<-0.2) for the general population with the search volume for 7 terms and negatively for 1 from the 57 terms used in previous studies. Suicide rates for men were found to be significantly different than those of women. The search term, “allergy,” demonstrated a lead effect for new suicide cases (r=0.513; P=.001). The next significant correlating terms for those 57 studied were “antidepressant,” “alcohol abstinence,” “relationship breakup” (r=0.295, P=.001; r=0.295, P=.001; and r=0.268, P=.002, respectively). Significantly different results were obtained for men and women. Search terms that correlate with suicide rates of women are consistent with previous studies, showing that the incidence of depression is higher in women than in men, and showing different gender searching patterns. Conclusions A better understanding of internet search behavior of both men and women in relation to suicide and related topics may help design effective suicide prevention programs based on information provided by search robots and other big data sources.

scholarly journals Detecting epidemiological relevance among adenoid hypertrophy, rhinosinusitis, and allergic rhinitis through Internet search

2021 ◽  
Author(s):  
Yingchao Yang ◽  
Xinyi Li ◽  
Qiang Ma ◽  
Zhihui Fu ◽  
Kaiming Su
Keyword(s):  
Allergic Rhinitis ◽  
Search Engine ◽  
Correlation Coefficients ◽  
Adenoid Hypertrophy ◽  
Internet Search ◽  
Search Terms ◽  
Search Volume ◽  
Internet Search Engine ◽  
Search Data

Abstract Purpose : This study aimed to verify that adenoid hypertrophy (AH) and rhinosinusitis share similar epidemiologic patterns and that AH and allergic rhinitis (AR) are not related. Methods: Internet search engine query data from January 2011 to December 2019 were retrieved from the Baidu index. Monthly search volume was obtained in China for the following search terms in Chinese: “adenoid hypertrophy,” “rhinosinusitis,” and “allergic rhinitis”; the data obtained were then presented as percentages. Pearson’s and Spearman’ s correlation coefficients were used to detect the correlation among the search volumes of AH, rhinosinusitis, and AR. We also collected search data from the first 5 months of 2020, when segregation was implemented in China due to the coronavirus disease 2019 epidemic. Then, we compared the search data to those obtained during the same period in 2019 to detect the effects of segregation on AH and AR to varying degrees. Results: Statistically significant differences were found between the search variations of AH and rhinosinusitis during 2011–2019 (R=0.643, P<0.05). However, search variations of AH and AR were negatively related (R=-0.239, P<0.05). The average monthly search volume of AH and rhinosinusitis correlated well (R=0.836, P<0.01), but no correlation was found between AH and AR. The search volume of AH and rhinosinusitis during the first 5 months in 2020 decreased, whereas that of AR increased during January–February. Conclusions: AH and rhinosinusitis are epidemiologically related, whereas AH and AR are not correlated with each other.

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