What Can Google and Wikipedia Can Tell Us About a Disease? Big Data Trends Analysis in Systemic Lupus Erythematosus

From Wikipedia Quality
Jump to: navigation, search


What Can Google and Wikipedia Can Tell Us About a Disease? Big Data Trends Analysis in Systemic Lupus Erythematosus
Authors
Savino Sciascia
Massimo Radin
Publication date
2017
DOI
10.1016/j.ijmedinf.2017.09.002
Links
Original

What Can Google and Wikipedia Can Tell Us About a Disease? Big Data Trends Analysis in Systemic Lupus Erythematosus - scientific work related to Wikipedia quality published in 2017, written by Savino Sciascia and Massimo Radin.

Overview

Abstract Objective To investigate trends of Internet search volumes linked to Systemic Lupus Erythematosus (SLE), on-going clinical trials and research developments associated to the disease, using Big Data monitoring and data mining. Methods Authors performed a longitudinal analysis based on the large amount of data generated by Google Trends, scientific search tools (SCOPUS, Medline/Pubmed/ClinicalTrails.gov) considering ‘SLE’, and ‘lupus’ in a 5-year web-based research. Wikipedia page views were also analysed using WikiTrends and the results were compared with the search volumes generated by Google Trends. Results Authors observed an overall higher distribution of search volumes from Google Trends in United States, South America, Canada, South Africa, Australia and Europe (mainly Italy, United Kingdom, Spain, France, Germany), showing a geographically heterogeneity in insight into health-related behaviour of the different populations towards SLE. By comparing the search volumes analysing the Wikipedia page views of both SLE and belimumab, authors found a close peak trend, reflecting the knowledge translation after the approval of belimumab for the treatment of SLE. When focusing on search volumes of Google Trends, authors noticed that the highest peaks were related to news headlines that involved celebrities affected by SLE, also when comparing to the peak generated by the approval of belimumab. Conclusion This new approach, able to investigate health information seeking, might give an estimate of the health-related demand and even of the health-related behaviour of SLE, bringing new light to unanswered questions.

Embed

Wikipedia Quality

Sciascia, Savino; Radin, Massimo. (2017). "[[What Can Google and Wikipedia Can Tell Us About a Disease? Big Data Trends Analysis in Systemic Lupus Erythematosus]]". Elsevier. DOI: 10.1016/j.ijmedinf.2017.09.002.

English Wikipedia

{{cite journal |last1=Sciascia |first1=Savino |last2=Radin |first2=Massimo |title=What Can Google and Wikipedia Can Tell Us About a Disease? Big Data Trends Analysis in Systemic Lupus Erythematosus |date=2017 |doi=10.1016/j.ijmedinf.2017.09.002 |url=https://wikipediaquality.com/wiki/What_Can_Google_and_Wikipedia_Can_Tell_Us_About_a_Disease?_Big_Data_Trends_Analysis_in_Systemic_Lupus_Erythematosus |journal=Elsevier}}

HTML

Sciascia, Savino; Radin, Massimo. (2017). &quot;<a href="https://wikipediaquality.com/wiki/What_Can_Google_and_Wikipedia_Can_Tell_Us_About_a_Disease?_Big_Data_Trends_Analysis_in_Systemic_Lupus_Erythematosus">What Can Google and Wikipedia Can Tell Us About a Disease? Big Data Trends Analysis in Systemic Lupus Erythematosus</a>&quot;. Elsevier. DOI: 10.1016/j.ijmedinf.2017.09.002.