189 related articles for article (PubMed ID: 33180022)
1. Leveraging Internet Search Data to Improve the Prediction and Prevention of Noncommunicable Diseases: Retrospective Observational Study.
Xu C; Cao Z; Yang H; Gao Y; Sun L; Hou Y; Cao X; Jia P; Wang Y
J Med Internet Res; 2020 Nov; 22(11):e18998. PubMed ID: 33180022
[TBL] [Abstract][Full Text] [Related]
2. Google Searches and Suicide Rates in Spain, 2004-2013: Correlation Study.
Jimenez A; Santed-Germán MA; Ramos V
JMIR Public Health Surveill; 2020 Apr; 6(2):e10919. PubMed ID: 32281540
[TBL] [Abstract][Full Text] [Related]
3. Relationship Between State-Level Google Online Search Volume and Cancer Incidence in the United States: Retrospective Study.
Phillips CA; Barz Leahy A; Li Y; Schapira MM; Bailey LC; Merchant RM
J Med Internet Res; 2018 Jan; 20(1):e6. PubMed ID: 29311051
[TBL] [Abstract][Full Text] [Related]
4. Detecting Lung Cancer Trends by Leveraging Real-World and Internet-Based Data: Infodemiology Study.
Xu C; Yang H; Sun L; Cao X; Hou Y; Cai Q; Jia P; Wang Y
J Med Internet Res; 2020 Mar; 22(3):e16184. PubMed ID: 32163035
[TBL] [Abstract][Full Text] [Related]
5. The Influence of Media Coverage and Governmental Policies on Google Queries Related to COVID-19 Cutaneous Symptoms: Infodemiology Study.
Huynh Dagher S; Lamé G; Hubiche T; Ezzedine K; Duong TA
JMIR Public Health Surveill; 2021 Feb; 7(2):e25651. PubMed ID: 33513563
[TBL] [Abstract][Full Text] [Related]
6. Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study.
Xu C; Wang Y; Yang H; Hou J; Sun L; Zhang X; Cao X; Hou Y; Wang L; Cai Q; Wang Y
J Med Internet Res; 2019 Jan; 21(1):e10677. PubMed ID: 30694203
[TBL] [Abstract][Full Text] [Related]
7. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study.
Higgins TS; Wu AW; Sharma D; Illing EA; Rubel K; Ting JY;
JMIR Public Health Surveill; 2020 May; 6(2):e19702. PubMed ID: 32401211
[TBL] [Abstract][Full Text] [Related]
8. Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study.
Husnayain A; Shim E; Fuad A; Su EC
J Med Internet Res; 2020 Sep; 22(9):e19788. PubMed ID: 32931446
[TBL] [Abstract][Full Text] [Related]
9. Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns.
Deiner MS; Lietman TM; McLeod SD; Chodosh J; Porco TC
JAMA Ophthalmol; 2016 Sep; 134(9):1024-30. PubMed ID: 27416554
[TBL] [Abstract][Full Text] [Related]
10. Infodemiology and Infoveillance: Scoping Review.
Mavragani A
J Med Internet Res; 2020 Apr; 22(4):e16206. PubMed ID: 32310818
[TBL] [Abstract][Full Text] [Related]
11. Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis.
Patton T; Abramovitz D; Johnson D; Leas E; Nobles A; Caputi T; Ayers J; Strathdee S; Bórquez A
J Med Internet Res; 2022 Dec; 24(12):e41527. PubMed ID: 36454620
[TBL] [Abstract][Full Text] [Related]
12. Correlation Among Cancer Incidence and Mortality Rates and Internet Searches in the United States.
Wehner MR; Nead KT; Linos E
JAMA Dermatol; 2017 Sep; 153(9):911-914. PubMed ID: 28658470
[TBL] [Abstract][Full Text] [Related]
13. Google Trends in Dermatology: Scoping Review of the Literature.
Sivesind TE; Szeto MD; Kim W; Dellavalle RP
JMIR Dermatol; 2021 May; 4(1):e27712. PubMed ID: 37632813
[TBL] [Abstract][Full Text] [Related]
14. Using Application Programming Interfaces (APIs) to Access Google Data and Gain Insights Into Searches on Birth Control in Louisiana and Mississippi, 2014-2018: Infoveillance Study.
Prata N; Weidert K; Zepecki A; Yon E; Pleasants E; Sams-Abiodun P; Guendelman S
J Med Internet Res; 2021 Jul; 23(7):e25923. PubMed ID: 34255662
[TBL] [Abstract][Full Text] [Related]
15. Seasonal and Geographic Patterns in Seeking Cardiovascular Health Information: An Analysis of the Online Search Trends.
Kumar N; Pandey A; Garg N; Sampene E; Lavie CJ
Mayo Clin Proc; 2018 Sep; 93(9):1185-1190. PubMed ID: 30193672
[TBL] [Abstract][Full Text] [Related]
16. Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea.
Woo H; Cho Y; Shim E; Lee JK; Lee CG; Kim SH
J Med Internet Res; 2016 Jul; 18(7):e177. PubMed ID: 27377323
[TBL] [Abstract][Full Text] [Related]
17. Infodemiology of systemic lupus erythematous using Google Trends.
Radin M; Sciascia S
Lupus; 2017 Jul; 26(8):886-889. PubMed ID: 28162030
[TBL] [Abstract][Full Text] [Related]
18. Public Health Implications of Google Searches for Sunscreen, Sunburn, Skin Cancer, and Melanoma in the United States.
Hopkins ZH; Secrest AM
Am J Health Promot; 2019 May; 33(4):611-615. PubMed ID: 30428681
[TBL] [Abstract][Full Text] [Related]
19. Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns.
Cousins HC; Cousins CC; Harris A; Pasquale LR
J Med Internet Res; 2020 Jul; 22(7):e19483. PubMed ID: 32692691
[TBL] [Abstract][Full Text] [Related]
20. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection.
Kim Y; Huang J; Emery S
J Med Internet Res; 2016 Feb; 18(2):e41. PubMed ID: 26920122
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
