 |
|
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
 Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review
Emily C Clark, Sophie Neumann, Stephanie Hopkins, Alyssa Kostopoulos, Leah Hagerman, Maureen Dobbins
JMIR Public Health and Surveillance.2024; 10: e49185. CrossRef The COVID-19 pandemic and Google Search Trends
Mahfooz Alam, Tariq Aziz, Valeed Ahmad Ansari
Journal of Public Mental Health.2024; 23(1): 55. 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.2023;[Epub] CrossRef A Psychometric Analysis of Fear of COVID-19 Scale in India
Remya Lathabhavan
International Journal of Mental Health and Addiction.2023; 21(2): 1256. CrossRef Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project
Ivan Merlo, Mariano Crea, Paolo Berta, Francesca Ieva, Flavia Carle, Federico Rea, Gloria Porcu, Laura Savaré, Raul De Maio, Marco Villa, Danilo Cereda, Olivia Leoni, Francesco Bortolan, Giuseppe Maria Sechi, Antonino Bella, Patrizio Pezzotti, Silvio Brus
Eurosurveillance.2023;[Epub] CrossRef Cardiovascular diseases display etiological and seasonal trend in human population: Evidence from seasonal cardiovascular comorbid diseases (SCCD) index
Jai Chand Patel, Apoorv Gupta, Prince Kumar, Kamran Manzoor Waidha, Aakash Deep, Ashish Kumar, Deepshikha Pande Katare, Arun K. Sharma
American Journal of Human Biology.2023;[Epub] CrossRef Google Trends as a predictive tool in the era of COVID-19: a scoping review
Berlanty A Zayed, Ahmed M Talaia, Mohamed A Gaaboobah, Samar M Amer, Fotouh R Mansour
Postgraduate Medical Journal.2023; 99(1175): 962. CrossRef Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends
Gloria Porcu, Yu Xi Chen, Andrea Stella Bonaugurio, Simone Villa, Leonardo Riva, Vincenzina Messina, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Fulvio Matone, Andrea Gori, Giovanni Corrao
Frontiers in Public Health.2023;[Epub] CrossRef Forecasting COVID-19 Outbreak Through Fusion of Internet Search, Social Media, and Air Quality Data: A Retrospective Study in Indian Context
Sankhadeep Chatterjee, Kushankur Ghosh, Arghasree Banerjee, Soumen Banerjee
IEEE Transactions on Computational Social Systems.2023; 10(3): 1017. CrossRef The evolution of the COVID-19 pandemic through the lens of google searches
Robert Marty, Manuel Ramos-Maqueda, Nausheen Khan, Arndt Reichert
Scientific Reports.2023;[Epub] CrossRef The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19
Yuhua Ruan, Tengda Huang, Wanwan Zhou, Jinhui Zhu, Qiuyu Liang, Lixian Zhong, Xiaofen Tang, Lu Liu, Shiwen Chen, Yihong Xie
Scientific Reports.2023;[Epub] CrossRef 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 COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population
Ren Yi Kow, Norfazilah Mohamad Rafiai, Akmal Azim Ahmad Alwi, Chooi Leng Low, Muhammad Wafiuddin Ahmad, Zamzuri Zakaria, Ahmad Hafiz Zulkifly
Cureus.2022;[Epub] CrossRef Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review
Tobias Saegner, Donatas Austys
International Journal of Environmental Research and Public Health.2022; 19(19): 12394. CrossRef The Relationship between Searches for COVID-19 Vaccines and Dynamics of Vaccinated People in Poland: An Infodemiological Study
Anna Kłak, Konrad Furmańczyk, Paulina Nowicka, Małgorzata Mańczak, Agnieszka Barańska, Urszula Religioni, Anna Siekierska, Martyna Ambroziak, Magdalena Chłopek
International Journal of Environmental Research and Public Health.2022; 19(20): 13275. CrossRef Forecasting SARS-CoV-2 transmission and clinical risk at small spatial scales by the application of machine learning architectures to syndromic surveillance data
Thomas Ward, Alexander Johnsen, Stanley Ng, François Chollet
Nature Machine Intelligence.2022; 4(10): 814. 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 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; 14(3): 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 Using Google Trends to assess COVID-19 related web search behaviour in Arabian Peninsula
Aymane Ajbar, Mourad Boumaaza, Abdelhamid M Ajbar
Journal of Global Health Reports.2021;[Epub] CrossRef
|