181 related articles for article (PubMed ID: 28162030)
1. 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]
2. Infodemiology of cluster headache seasonality: A proof of concept by a Google Trends analysis.
Silvestro M; Orologio I; Tartaglione L; Sozio P; Siciliano M; Trojsi F; Tessitore A; Tedeschi G; Russo A
Headache; 2023 Jan; 63(1):89-93. PubMed ID: 36651518
[TBL] [Abstract][Full Text] [Related]
3. Emerging Trends in Information-Seeking Behavior for Alpha-Gal Syndrome: Infodemiology Study Using Time Series and Content Analysis.
Romeiser JL; Jusko N; Williams AA
J Med Internet Res; 2024 May; 26():e49928. PubMed ID: 38717813
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. United States Influenza Search Patterns Since the Emergence of COVID-19: Infodemiology Study.
Cai O; Sousa-Pinto B
JMIR Public Health Surveill; 2022 Mar; 8(3):e32364. PubMed ID: 34878996
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study.
Deiner MS; Kaur G; McLeod SD; Schallhorn JM; Chodosh J; Hwang DH; Lietman TM; Porco TC
J Med Internet Res; 2022 Jul; 24(7):e27310. PubMed ID: 35537041
[TBL] [Abstract][Full Text] [Related]
8. Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study.
Wang P; Xu Q; Cao RR; Deng FY; Lei SF
J Med Internet Res; 2021 Jul; 23(7):e25422. PubMed ID: 36260400
[TBL] [Abstract][Full Text] [Related]
9. Infodemiology of autoimmune encephalitis, autoimmune seizures, and autoimmune epilepsy: An analysis of online search behavior using Google Trends.
Roberto KT; Jamora RDG; Moalong KMC; Espiritu AI
Epilepsy Behav; 2022 Jul; 132():108730. PubMed ID: 35623205
[TBL] [Abstract][Full Text] [Related]
10. Biannual Differences in Interest Peaks for Web Inquiries Into Ear Pain and Ear Drops: Infodemiology Study.
Brkic FF; Besser G; Schally M; Schmid EM; Parzefall T; Riss D; Liu DT
J Med Internet Res; 2021 Jun; 23(6):e28328. PubMed ID: 34185016
[TBL] [Abstract][Full Text] [Related]
11. Infodemiology of Bell's palsy: Tracing the seasonality of facial paralysis.
Salbaş E; Ketenci S
J Back Musculoskelet Rehabil; 2022; 35(3):615-623. PubMed ID: 34602459
[TBL] [Abstract][Full Text] [Related]
12. Monitoring Information-Seeking Patterns and Obesity Prevalence in Africa With Internet Search Data: Observational Study.
Oladeji O; Zhang C; Moradi T; Tarapore D; Stokes AC; Marivate V; Sengeh MD; Nsoesie EO
JMIR Public Health Surveill; 2021 Apr; 7(4):e24348. PubMed ID: 33913815
[TBL] [Abstract][Full Text] [Related]
13. The Causality Inference of Public Interest in Restaurants and Bars on Daily COVID-19 Cases in the United States: Google Trends Analysis.
Asgari Mehrabadi M; Dutt N; Rahmani AM
JMIR Public Health Surveill; 2021 Apr; 7(4):e22880. PubMed ID: 33690143
[TBL] [Abstract][Full Text] [Related]
14. Forecasting the COVID-19 Epidemic by Integrating Symptom Search Behavior Into Predictive Models: Infoveillance Study.
Rabiolo A; Alladio E; Morales E; McNaught AI; Bandello F; Afifi AA; Marchese A
J Med Internet Res; 2021 Aug; 23(8):e28876. PubMed ID: 34156966
[TBL] [Abstract][Full Text] [Related]
15. Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study.
Ondrikova N; Harris JP; Douglas A; Hughes HE; Iturriza-Gomara M; Vivancos R; Elliot AJ; Cunliffe NA; Clough HE
J Med Internet Res; 2023 May; 25():e37540. PubMed ID: 37155231
[TBL] [Abstract][Full Text] [Related]
16. Predicting Norovirus in the United States Using Google Trends: Infodemiology Study.
Yuan K; Huang G; Wang L; Wang T; Liu W; Jiang H; Yang AC
J Med Internet Res; 2021 Sep; 23(9):e24554. PubMed ID: 34586079
[TBL] [Abstract][Full Text] [Related]
17. Wikipedia, Google Trends and Diet: Assessment of Temporal Trends in the Internet Users' Searches in Italy before and during COVID-19 Pandemic.
Nucci D; Santangelo OE; Nardi M; Provenzano S; Gianfredi V
Nutrients; 2021 Oct; 13(11):. PubMed ID: 34835939
[TBL] [Abstract][Full Text] [Related]
18. General Public's Information-Seeking Patterns of Topics Related to Obesity: Google Trends Analysis.
Pawar AS; Nagpal S; Pawar N; Lerman LO; Eirin A
JMIR Public Health Surveill; 2020 Aug; 6(3):e20923. PubMed ID: 32633725
[TBL] [Abstract][Full Text] [Related]
19. Online information-seeking behavior of Iranian web users on Google about Henoch-Schönlein purpura (HSP): an infodemiology study.
Javadi V; Kamfar S; Zeinali V; Rahmani K; Moghaddamemami FH
BMC Health Serv Res; 2023 Dec; 23(1):1389. PubMed ID: 38082454
[TBL] [Abstract][Full Text] [Related]
20. Confounding Effect of Undergraduate Semester-Driven "Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration.
Gillis T; Garrison S
JMIR Infodemiology; 2022; 2(2):e34464. PubMed ID: 37113451
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
