500 related articles for article (PubMed ID: 32234709)
1. Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.
Ayyoubzadeh SM; Ayyoubzadeh SM; Zahedi H; Ahmadi M; R Niakan Kalhori S
JMIR Public Health Surveill; 2020 Apr; 6(2):e18828. PubMed ID: 32234709
[TBL] [Abstract][Full Text] [Related]
2. The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: A Google Trends study.
Strzelecki A
Brain Behav Immun; 2020 Aug; 88():950-951. PubMed ID: 32311493
[No Abstract] [Full Text] [Related]
3. 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]
4. Applications of Google Search Trends for risk communication in infectious disease management: A case study of the COVID-19 outbreak in Taiwan.
Husnayain A; Fuad A; Su EC
Int J Infect Dis; 2020 Jun; 95():221-223. PubMed ID: 32173572
[TBL] [Abstract][Full Text] [Related]
5. Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends
Effenberger M; Kronbichler A; Shin JI; Mayer G; Tilg H; Perco P
Int J Infect Dis; 2020 Jun; 95():192-197. PubMed ID: 32305520
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index.
Qin L; Sun Q; Wang Y; Wu KF; Chen M; Shia BC; Wu SY
Int J Environ Res Public Health; 2020 Mar; 17(7):. PubMed ID: 32244425
[TBL] [Abstract][Full Text] [Related]
8. Climate and COVID-19 pandemic: effect of heat and humidity on the incidence and mortality in world's top ten hottest and top ten coldest countries.
Meo SA; Abukhalaf AA; Alomar AA; Al-Beeshi IZ; Alhowikan A; Shafi KM; Meo AS; Usmani AM; Akram J
Eur Rev Med Pharmacol Sci; 2020 Aug; 24(15):8232-8238. PubMed ID: 32767355
[TBL] [Abstract][Full Text] [Related]
9. Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020).
Pourghasemi HR; Pouyan S; Heidari B; Farajzadeh Z; Fallah Shamsi SR; Babaei S; Khosravi R; Etemadi M; Ghanbarian G; Farhadi A; Safaeian R; Heidari Z; Tarazkar MH; Tiefenbacher JP; Azmi A; Sadeghian F
Int J Infect Dis; 2020 Sep; 98():90-108. PubMed ID: 32574693
[TBL] [Abstract][Full Text] [Related]
10. Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study.
Badell-Grau RA; Cuff JP; Kelly BP; Waller-Evans H; Lloyd-Evans E
J Med Internet Res; 2020 Oct; 22(10):e19791. PubMed ID: 32915763
[TBL] [Abstract][Full Text] [Related]
11. Are online searches for the novel coronavirus (COVID-19) related to media or epidemiology? A cross-sectional study.
Szmuda T; Ali S; Hetzger TV; Rosvall P; SÅ‚oniewski P
Int J Infect Dis; 2020 Aug; 97():386-390. PubMed ID: 32535297
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. COVID-19: a conundrum to decipher.
Deshmukh V; Tripathi SC; Pandey A; Deshmukh V; Vykoukal J; Patil A; Sontakke B
Eur Rev Med Pharmacol Sci; 2020 May; 24(10):5830-5841. PubMed ID: 32495923
[TBL] [Abstract][Full Text] [Related]
14. Google search volume predicts the emergence of COVID-19 outbreaks.
Lippi G; Mattiuzzi C; Cervellin G
Acta Biomed; 2020 Sep; 91(3):e2020006. PubMed ID: 32921704
[TBL] [Abstract][Full Text] [Related]
15. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.
Abd-Alrazaq A; Alhuwail D; Househ M; Hamdi M; Shah Z
J Med Internet Res; 2020 Apr; 22(4):e19016. PubMed ID: 32287039
[TBL] [Abstract][Full Text] [Related]
16. The Rising Number of COVID-19 Cases Reflecting Growing Search Trend and Concern of People: A Google Trend Analysis of Eight Major Countries.
Sharma M; Sharma S
J Med Syst; 2020 May; 44(7):117. PubMed ID: 32430650
[No Abstract] [Full Text] [Related]
17. COVID-19-Related Web Search Behaviors and Infodemic Attitudes in Italy: Infodemiological Study.
Rovetta A; Bhagavathula AS
JMIR Public Health Surveill; 2020 May; 6(2):e19374. PubMed ID: 32338613
[TBL] [Abstract][Full Text] [Related]
18. More effective strategies are required to strengthen public awareness of COVID-19: Evidence from Google Trends.
Hu D; Lou X; Xu Z; Meng N; Xie Q; Zhang M; Zou Y; Liu J; Sun G; Wang F
J Glob Health; 2020 Jun; 10(1):011003. PubMed ID: 32373339
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]