Prediction of COVID-19 Outbreaks Using Google Trends in India: A Retrospective Analysis
U Venkatesh, Periyasamy Aravind Gandhi
Healthc Inform Res. 2020;26(3):175-184.   Published online 2020 Jul 31     DOI: https://doi.org/10.4258/hir.2020.26.3.175
Citations to this article as recorded by Crossref logo
COVID-19 concerns in cyberspace predict human reduced dispersal in the real world: Meta-regression analysis of time series relationships across American states and 115 countries/territories
Mac Zewei Ma
Computers in Human Behavior.2022; 127: 107059.     CrossRef
Online searching trend on Covid-19 using Google trend: infodemiological study in Malaysia
Tengku Adil Tengku Izhar, Torab Torabi
International Journal of Information Technology.2022; 14(2): 675.     CrossRef
Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study
Alex Wang, Robert McCarron, Daniel Azzam, Annamarie Stehli, Glen Xiong, Jeremy DeMartini
JMIR Mental Health.2022; 9(3): e35253.     CrossRef
Digital health literacy, online information-seeking behaviour, and satisfaction of Covid-19 information among the university students of East and South-East Asia
Mila Nu Nu Htay, Laurence Lloyd Parial, Ma. Carmen Tolabing, Kevin Dadaczynski, Orkan Okan, Angela Yee Man Leung, Tin Tin Su, Bijaya Kumar Padhi
PLOS ONE.2022; 17(4): e0266276.     CrossRef
Correlations between Web Searches and COVID-19 Epidemiological Indicators in Brazil
Marcelo Sartori Locatelli, Evandro L. T. P Cunha, Janaína Guiginski, Ramon A. S Franco, Tereza Bernardes, Pedro Loures Alzamora, Daniel Victor F. da Silva, Marcelo Augusto S Ganem, Thiago H. M Santos, Anne I. R Carvalho, Leandro M. V Souza, Gabriela P. F
Brazilian Archives of Biology and Technology.2022;[Epub]     CrossRef
Enhancing COVID-19 Epidemic Forecasting Accuracy by Combining Real-time and Historical Data From Multiple Internet-Based Sources: Analysis of Social Media Data, Online News Articles, and Search Queries
Jingwei Li, Wei Huang, Choon Ling Sia, Zhuo Chen, Tailai Wu, Qingnan Wang
JMIR Public Health and Surveillance.2022; 8(6): e35266.     CrossRef
An Analysis of Methods for Forecasting Epidemic Disease Outbreaks using Information from Social Media
Mrs. Disha Sushant Wankhede, Rohan Rajendra Sadawarte, Mahek Ibrahim Mulla, Shreya Rahul Jadhav
International Journal of Recent Technology and Engineering (IJRTE).2022; 11(2): 128.     CrossRef
COVID-19 forecasts using Internet search information in the United States
Simin Ma, Shihao Yang
Scientific Reports.2022;[Epub]     CrossRef
Geographic social inequalities in information-seeking response to the COVID-19 pandemic in China: longitudinal analysis of Baidu Index
Zhicheng Wang, Hong Xiao, Leesa Lin, Kun Tang, Joseph M. Unger
Scientific Reports.2022;[Epub]     CrossRef
Analysis of Yandex search queries related to COVID‑19 in Russian Federation
D. K. Khoroshun, K. Т. Momynaliev, E. M. Voronin, V. G. Akimkin
Medical alphabet.2022; (14): 14.     CrossRef
Assessing the online search behavior for COVID-19 outbreak: Evidence from Iran
Mahnaz Samadbeik, Ali Garavand, Nasim Aslani, Farzad Ebrahimzadeh, Farhad Fatehi, Sinan Kardeş
PLOS ONE.2022; 17(7): e0267818.     CrossRef
Reliability of Google Trends: Analysis of the Limits and Potential of Web Infoveillance During COVID-19 Pandemic and for Future Research
Alessandro Rovetta
Frontiers in Research Metrics and Analytics.2021;[Epub]     CrossRef
Biannual Differences in Interest Peaks for Web Inquiries Into Ear Pain and Ear Drops: Infodemiology Study
Faris F Brkic, Gerold Besser, Martin Schally, Elisabeth M Schmid, Thomas Parzefall, Dominik Riss, David T Liu
Journal of Medical Internet Research.2021; 23(6): e28328.     CrossRef
The relationship between Google search interest for pulmonary symptoms and COVID-19 cases using dynamic conditional correlation analysis
Halit Cinarka, Mehmet Atilla Uysal, Atilla Cifter, Elif Yelda Niksarlioglu, Aslı Çarkoğlu
Scientific Reports.2021;[Epub]     CrossRef
Determining the nutritional immunity information-seeking behaviour during the COVID-19 pandemic in India: a Google Trends data analysis
Savitesh Kushwaha, Poonam Khanna, Rachita Jain, Rachana Srivastava
Public Health Nutrition.2021; 24(16): 5338.     CrossRef
Suitability of Google Trends™ for Digital Surveillance During Ongoing COVID-19 Epidemic: A Case Study from India
Parmeshwar Satpathy, Sanjeev Kumar, Pankaj Prasad
Disaster Medicine and Public Health Preparedness.2021; : 1.     CrossRef
A Psychometric Analysis of Fear of COVID-19 Scale in India
Remya Lathabhavan
International Journal of Mental Health and Addiction.2021;[Epub]     CrossRef
Evaluating the Impact of COVID-19 Pandemic on Public Interest in Minimally Invasive Surgery: An Infodemiology Study Using Google Trends
Nellai Krishnan, Sachit Anand, Gursev Sandlas
Cureus.2021;[Epub]     CrossRef
Google arama motoru Türkiye’de Covid-19 salgınının yayılımının izlenmesinde ve tahmininde kullanılabilir mi?
Mürsel TİRGİL, Ercan ÇULHA, Şenol DEMİRCİ
Mersin Üniversitesi Sağlık Bilimleri Dergisi.2021; : 520.     CrossRef
Impact of COVID-19 Pandemic on Population-Level Interest in Skincare: Evidence from a Google Trends
European Journal of Medical and Health Sciences.2021; : 147.     CrossRef
Google trends as an aid in predicting the course of the COVID-19 epidemic in Serbia
Vladimir Nikolić, Nikola Subotić, Jovana Subotić, Ljiljana Marković-Denić
Medicinski casopis.2021; 55(2): 59.     CrossRef