scholarly journals Infodemiology of systemic lupus erythematous using Google Trends

Lupus ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 886-889 ◽  
Author(s):  
M Radin ◽  
S Sciascia
Keyword(s):  
Big Data ◽  
Northern Hemisphere ◽  
Lupus Erythematosus ◽  
Kendall Test ◽  
Google Trends ◽  
Data Monitoring ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Terms ◽  
Google Search

Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. ‘Infodemiology’ and ‘infoveillance’ are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering ‘lupus’, ‘relapse’ and ‘fatigue’ in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn–Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for ‘lupus’ were correlated with ‘relapse’ (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.85; p = 0.018). Similarly, a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.

Spikes and Variance: Using Google Trends to Detect and Forecast Protests

2021 ◽  
pp. 1-18
Author(s):  
Joan C. Timoneda ◽  
Erik Wibbels
Keyword(s):  
Big Data ◽  
Access Point ◽  
The United States ◽  
Google Trends ◽  
Control Group ◽  
Search Term ◽  
Synthetic Control ◽  
Out Of Sample ◽  
Rare Phenomena ◽  
Google Search

Abstract Google search is ubiquitous, and Google Trends (GT) is a potentially useful access point for big data on many topics the world over. We propose a new ‘variance-in-time’ method for forecasting events using GT. By collecting multiple and overlapping samples of GT data over time, our algorithm leverages variation both in the mean and the variance of a search term in order to accommodate some idiosyncracies in the GT platform. To elucidate our approach, we use it to forecast protests in the United States. We use data from the Crowd Counting Consortium between 2017 and 2019 to build a sample of true protest events as well as a synthetic control group where no protests occurred. The model’s out-of-sample forecasts predict protests with higher accuracy than extant work using structural predictors, high frequency event data, or other sources of big data such as Twitter. Our results provide new insights into work specifically on political protests, while providing a general approach to GT that should be useful to researchers of many important, if rare, phenomena.

Assessing the quality, reliability and readability of online health information regarding systemic lupus erythematosus

Lupus ◽  
2018 ◽  
Vol 27 (12) ◽  
pp. 1911-1917 ◽  
Author(s):  
M Reynolds ◽  
A Hoi ◽  
R R C Buchanan
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Lupus Erythematosus ◽  
Search Engines ◽  
Large Degree ◽  
Online Information ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Terms ◽  
Significant Difference ◽  
The Mean

Introduction Systemic lupus erythematosus (SLE) has complex pathophysiology and treatments, and patients often use the internet to better understand their condition. This report systematically assesses the quality, reliability and readability of online information. Methods The search term ‘systemic lupus erythematosus’ was used with Google™, Bing™ and Yahoo™ search engines sequentially. The first 25 websites returned (‘hits’) for each search engine (total 75 websites) were compiled. The search terms ‘SLE’ and ‘lupus’ were used in separate Google searches to assess for commonality. After removal of excluded hits, websites were assessed using the DISCERN instrument, Journal of the American Medical Association benchmarks and Gunning Fog Index for quality, reliability and readability and presence of ‘Health on the Net Code’ (HoN) standardisation recorded. Results There was a large degree of commonality among hits from the three different search engines using the search term ‘systemic lupus erythematosus’, as well as hits returned for the three different search terms using Google. The mean DISCERN score was 47.7 (SD 13.2) for ‘systemic lupus erythematosus’, 46.4 (SD 14.2) for ‘SLE’ and 45.2 (SD 10.1) for ‘lupus’, with no statistically significant difference. The mean number of JAMA benchmarks (maximum four) present for the ‘systemic lupus erythematosus’, ‘SLE’ and ‘lupus’ searches was 1.3 (SD 1.2), 1.4 (SD 1.3) and 1.2 (SD 1.0), respectively, with no statistically significance difference. The average readability of hits for the three different search terms was 9.3 (SD 3.4), 10.0 (SD 3.1) and 11.1 (SD 2.7), with no statistically significant difference. Conclusion There was a large degree of commonality of hits among the different search engines and the utilised search terms but they are not synonymous. Regardless of search term, the overall quality of websites was fair, whilst reliability was poor. Websites appearing higher in searches did not score better. Presence of the HoN did not represent better quality. Readability was higher than recommended for near-universal understanding. There was no difference in quality, reliability or readability of websites using the search terms ‘systemic lupus erythematosus’, ‘SLE’ or ‘lupus’, with some high-scoring websites appearing in only one search term result. This study reminds clinicians to direct patients to high-quality websites rather than rely on search engines.

Interest on the internet for systemic lupus erythematosus: Analysis of Google Trends in Latin American countries

Lupus ◽  
2021 ◽  
pp. 096120332110103
Author(s):  
Paul J Tejada-Llacsa ◽  
Pamela Villacorta-Landeo ◽  
Eder Aguilar-Buitrón ◽  
Graciela S Alarcón ◽  
Manuel F Ugarte-Gil
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Latin American ◽  
Lupus Erythematosus ◽  
Google Trends ◽  
The Internet ◽  
Systemic Lupus ◽  
Web Based ◽  
Pan American ◽  
Health Institutions ◽  
Latin American Countries

Background/Objective Information available on the internet about Systemic Lupus Erythematosus (SLE) can influence the doctor-patient relationship. Therefore, the aim of this study was to identify the terms used for SLE on the internet. Methods We analyzed the data downloaded from Google Trends, considering the term “Lupus” in a six-year web-based research. The frequency of the terms for each Pan-American country was obtained automatically from Google Trends, which reports relative search volumes or RSV (on a scale from 0 to 100) across regions. Results We obtained a total of 67 registered terms in 18 countries. The terms were distributed into five categories. The categories with interest in all countries were “definition” and “symptoms”. Conclusions Google Trends allows us to find useful information about SLE on the internet; once the accuracy of this information is validated, it can be used by patients, health institutions, rheumatologists and other health professionals.

Predicting Public Interest in Nonsurgical Cosmetic Procedures Using Google Trends

2019 ◽  
Vol 40 (11) ◽  
pp. 1253-1262 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Matthew J Parham ◽  
Rahim Nazerali
Keyword(s):  
Hyaluronic Acid ◽  
Public Interest ◽  
The United States ◽  
Google Trends ◽  
Search Term ◽  
Data Set ◽  
Fat Transfer ◽  
Laser Hair Removal ◽  
Search Terms ◽  
Search Volume

Abstract Background Google Trends (GT) provides cost-free, customizable analyses of search traffic for specified terms entered into Google’s search engine. GT may inform plastic surgery marketing decisions and resource allocation. Objectives The aim of this study was to determine GT’s utility in tracking and predicting public interest in nonsurgical cosmetic procedures and to examine trends over time of public interest in nonsurgical procedures. Methods GT search volume for terms in 6 ASPS and ASAPS nonsurgical procedure categories (Botox injections, chemical peel, laser hair removal, laser skin resurfacing, microdermabrasion and soft tissue fillers [subcategories: collagen, fat, and hyaluronic acid]) were compared with ASPS and ASAPS case volumes for available dates between January 2004 and March 2019 with the use of univariate linear regression, taking P &lt; 0.01 as the cutoff for significance. Results Total search volume varied by search term within the United States and internationally. Significant positive correlations were demonstrated for 17 GT terms in all 6 ASPS and ASAPS categories: “Botox®,” “collagen injections,” “collagen lip injections” with both databases; and “chemical skin peel,” “skin peel,” “acne scar treatment,” “CO2 laser treatment,” “dermabrasion,” “collagen injections,” “collagen lip injections,” “fat transfer,” “hyaluronic acid fillers,” “hyaluronic acid injection,” “hyaluronic acid injections,” “Juvederm®,” and “fat transfer” with just 1 database. Many search terms were not significant, emphasizing the need for careful selection of search terms. Conclusions Our analysis further elaborates on recent characterization of GT as a powerful and intuitive data set for plastic surgeons, with the potential to accurately gauge global and national interest in topics and procedures related to nonsurgical cosmetic procedures.

Epidemiology of systemic lupus erythematosus in Asia

Lupus ◽  
2010 ◽  
Vol 19 (12) ◽  
pp. 1365-1373 ◽  
Author(s):  
E. Osio-Salido ◽  
H. Manapat-Reyes
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Lupus Erythematosus ◽  
Renal Involvement ◽  
Clinical Manifestations ◽  
Incidence Rates ◽  
Systemic Lupus ◽  
Asian Populations ◽  
Search Terms ◽  
Retrieval Rate ◽  
International Rheumatology

In this paper we aim to review the prevalence, incidence and disease presentation of lupus patients in Asian populations. The database of the National Library of Medicine (MEDLINE) through PUBMED up to September 2009 was searched for relevant articles using the search terms ‘systemic lupus erythematosus’, ‘epidemiology’, and ‘Asia’. Articles on lupus prevalence, incidence, and clinical manifestations were retrieved and their bibliographies further screened for relevant articles. Proceedings of national, regional, and international rheumatology and SLE conferences were likewise searched for relevant abstracts. Retrieval rate of relevant articles was approximately 80%. Prevalence and incidence figures are expressed per 100,000 populations. Among the articles reviewed, epidemiologic information was usually obtained through population surveys or hospital cohorts. Prevalence data are available from 24 countries, and generally fall within 30—50/100,000 population. However, one survey showed a higher prevalence of 70 (Shanghai), while three others showed a lower prevalence of 3.2—19.3 (India, Japan, Saudi Arabia). Only three countries have recorded incidence rates and these varied from 0.9 to 3.1 per annum. Thirty articles from 21 countries describe lupus disease presentation. Common manifestations include mucocutaneous lesions (seen in 52—98% of patients) and arthritis/musculoskeletal complaints (36—95%). Antinuclear antibodies were generally positive in 89—100% of patients, except for two studies. Renal involvement ranged from 18% to 100% with most articles reporting this in >50% of their patients. Discoid lesions, serositis, and neurologic involvement were the least frequently seen symptoms. There is varying epidemiologic information regarding systemic lupus erythematosus among countries in Asia. Prevalence rates usually fall within 30—50/100,000 population. Incidence rates, as reported from three countries, varied from 0.9/100,000 to 3.1% per annum. It is difficult to make generalizations about how the epidemiologic character of the disease varies from country to country. However, similarities in disease manifestations can be observed. .

The pathogenesis of systemic lupus erythematosus: Harnessing big data to understand the molecular basis of lupus

2020 ◽  
Vol 110 ◽  
pp. 102359 ◽  
Author(s):  
Michelle D. Catalina ◽  
Katherine A. Owen ◽  
Adam C. Labonte ◽  
Amrie C. Grammer ◽  
Peter E. Lipsky
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Big Data ◽  
Lupus Erythematosus ◽  
Molecular Basis ◽  
Systemic Lupus

Public Health Implications of Google Searches for Sunscreen, Sunburn, Skin Cancer, and Melanoma in the United States

2018 ◽  
Vol 33 (4) ◽  
pp. 611-615 ◽  
Author(s):  
Zachary H. Hopkins ◽  
Aaron M. Secrest
Keyword(s):  
Public Health ◽  
United States ◽  
Skin Cancer ◽  
Search Engine ◽  
State Level ◽  
The United States ◽  
Google Trends ◽  
Search Term ◽  
Melanoma Incidence ◽  
Google Search

Purpose: Google Trends (GT) offers insights into public interests and behaviors and holds potential for guiding public health campaigns. We evaluated trends in US searches for sunscreen, sunburn, skin cancer, and melanoma and their relationships with melanoma outcomes. Design: Google Trends was queried for US search volumes from 2004 to 2017. Time-matched search term data were correlated with melanoma outcomes data from Surveillance Epidemiology and End Results Program and United States Cancer Statistics databases (2004-2014 and 2010-2014, respectively). Setting: Users of the Google search engine in the United States. Participants: Google search engine users in the United States. This represents approximately 65% of the population. Measures: Search volumes, melanoma outcomes. Analysis: Pearson correlations between search term volumes, time, and national melanoma outcomes. Spearman correlations between state-level search data and melanoma outcomes. Results: The terms “sunscreen,” “sunburn,” “skin cancer,” and “melanoma” were all highly correlated ( P < .001), with sunscreen and sunburn having the greatest correlation ( r = 0.95). Sunscreen/sunburn searches have increased over time, but skin cancer/melanoma searches have decreased ( P < .05). Nationally, sunscreen, sunburn, and skin cancer were significantly correlated with melanoma incidence. At the state level, only sunscreen and melanoma searches were significantly correlated with melanoma incidence. Conclusions: We conclude that online skin cancer prevention campaigns should focus on the search terms “sunburn” and “sunscreen,” given the decreasing online searches for skin cancer and melanoma. This is reinforced by the finding that sunscreen searches are higher in areas with higher melanoma incidence.

The association between systemic lupus erythematosus and bipolar disorder – a big data analysis

2017 ◽  
Vol 43 ◽  
pp. 116-119 ◽  
Author(s):  
S. Tiosano ◽  
Z. Nir ◽  
O. Gendelman ◽  
D. Comaneshter ◽  
H. Amital ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Bipolar Disorder ◽  
Multivariate Analysis ◽  
Big Data ◽  
Data Analysis ◽  
Lupus Erythematosus ◽  
Univariate Analysis ◽  
Big Data Analysis ◽  
Medical Database ◽  
Systemic Lupus

AbstractBackground:Systemic lupus erythematosus (SLE) is a chronic, autoimmune disease that has a wide variety of physical manifestations, including neuropsychiatric features. Bipolar disorder (BD) is a chronic, episodic illness, that may present as depression or as mania. The objective of this study was to investigate the association between SLE and BD using big data analysis methods.Methods:Patients with SLE were compared with age- and sex-matched controls regarding the prevalence of BD in a cross-sectional study. Chi-square and t-tests were used for univariate analysis and a logistic regression model was used for multivariate analysis, adjusting for confounders. The study was performed utilizing the chronic disease registry of Clalit Health Services medical database.Results:The study included 5018 SLE patients and 25,090 matched controls. BD was found in a higher prevalence among SLE patients compared to controls (0.62% vs. 0.26%, respectively, P < 0.001). BD patients had a greater prevalence of smokers compared to non-BD patients (62.5% vs 23.5%, respectively, P < 0.001). In a multivariate analysis, smoking and SLE were both found to be significantly associated with BD.Conclusions:SLE was found to be independently associated with BD. These findings may imply that an autoimmune process affecting the central nervous system among SLE patients facilitates the expression of concomitant BD.

Sign in / Sign up

Export Citation Format

Share Document