415 related articles for article (PubMed ID: 32530816)
1. Assessment of the Impact of Media Coverage on COVID-19-Related Google Trends Data: Infodemiology Study.
Sousa-Pinto B; Anto A; Czarlewski W; Anto JM; Fonseca JA; Bousquet J
J Med Internet Res; 2020 Aug; 22(8):e19611. PubMed ID: 32530816
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags.
Rovetta A; Bhagavathula AS
J Med Internet Res; 2020 Aug; 22(8):e20673. PubMed ID: 32748790
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Loss of smell and taste: a new marker of COVID-19? Tracking reduced sense of smell during the coronavirus pandemic using search trends.
Cherry G; Rocke J; Chu M; Liu J; Lechner M; Lund VJ; Kumar BN
Expert Rev Anti Infect Ther; 2020 Nov; 18(11):1165-1170. PubMed ID: 32673122
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study.
Rajan A; Sharaf R; Brown RS; Sharaiha RZ; Lebwohl B; Mahadev S
JMIR Public Health Surveill; 2020 Jul; 6(3):e19354. PubMed ID: 32640418
[TBL] [Abstract][Full Text] [Related]
9. Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries.
Ming WK; Huang F; Chen Q; Liang B; Jiao A; Liu T; Wu H; Akinwunmi B; Li J; Liu G; Zhang CJP; Huang J; Liu Q
JMIR Public Health Surveill; 2021 Dec; 7(12):e26644. PubMed ID: 34591781
[TBL] [Abstract][Full Text] [Related]
10. Predicting COVID-19 Incidence Using Anosmia and Other COVID-19 Symptomatology: Preliminary Analysis Using Google and Twitter.
Panuganti BA; Jafari A; MacDonald B; DeConde AS
Otolaryngol Head Neck Surg; 2020 Sep; 163(3):491-497. PubMed ID: 32484425
[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; Słoniewski P
Int J Infect Dis; 2020 Aug; 97():386-390. PubMed ID: 32535297
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Increased Internet Searches for Insomnia as an Indicator of Global Mental Health During the COVID-19 Pandemic: Multinational Longitudinal Study.
Lin YH; Chiang TW; Lin YL
J Med Internet Res; 2020 Sep; 22(9):e22181. PubMed ID: 32924951
[TBL] [Abstract][Full Text] [Related]
14. Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom.
Walker MD; Sulyok M
Epidemiol Infect; 2020 Jun; 148():e110. PubMed ID: 32498731
[TBL] [Abstract][Full Text] [Related]
15. Anosmia and Ageusia: Common Findings in COVID-19 Patients.
Vaira LA; Salzano G; Deiana G; De Riu G
Laryngoscope; 2020 Jul; 130(7):1787. PubMed ID: 32237238
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Use of Google Trends to investigate loss-of-smell-related searches during the COVID-19 outbreak.
Walker A; Hopkins C; Surda P
Int Forum Allergy Rhinol; 2020 Jul; 10(7):839-847. PubMed ID: 32279437
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Prevalence and Duration of Acute Loss of Smell or Taste in COVID-19 Patients.
Lee Y; Min P; Lee S; Kim SW
J Korean Med Sci; 2020 May; 35(18):e174. PubMed ID: 32383370
[TBL] [Abstract][Full Text] [Related]
20. [Anosmia and ageusia as primary symptoms of COVID-19].
Haldrup M; Johansen MI; Fjaeldstad AW
Ugeskr Laeger; 2020 Apr; 182(18):. PubMed ID: 32400371
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
