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Original Research

A Google Trends-based approach for monitoring NSSI

Pages 1-8 | Published online: 13 Dec 2013

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Kaśmir Ciechanowski, Dariusz Jemielniak & Andrzej Silczuk. (2023) Public interests in mental health topics in COVID-19: evidence from Wikipedia searches. Advances in Mental Health 0:0, pages 1-22.
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Wenyuan Zhou, Xiaoqi Zhang, Yanqiao Zheng, Tutiantian Gao, Xiaobei Liu & Han Liang. (2023) Psychological Impact of COVID-19 Lockdown and Its Evolution: A Case Study Based on Internet Searching Data during the Lockdown of Wuhan 2020 and Shanghai 2022. Healthcare 11:3, pages 289.
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Muhammad Khanif Khafidli & Achmad Choiruddin. (2022) Forecast of Aviation Traffic in Indonesia Based on Google Trend and Macroeconomic Data using Long Short-Term Memory. Forecast of Aviation Traffic in Indonesia Based on Google Trend and Macroeconomic Data using Long Short-Term Memory.
Wen Chen, Andrea Boggero, Giovanni Del Puente, Martina Olcese, Davide Prestia, Haitham Jahrami, Nasr Chalghaf, Noomen Guelmami, Fairouz Azaiez & Nicola Luigi Bragazzi. (2021) Googling for Suicide–Content and Quality Analysis of Suicide-Related Websites: Thematic Analysis. JMIR Formative Research 5:11, pages e29146.
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Duleeka Knipe, David Gunnell, Hannah Evans, Ann John & Daisy Fancourt. (2021) Is Google Trends a useful tool for tracking mental and social distress during a public health emergency? A time–series analysis. Journal of Affective Disorders 294, pages 737-744.
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Peddarapu Rama Krishna & Pothuraju Rajarajeswari. 2021. Epidemiological Research Applications for Public Health Measurement and Intervention. Epidemiological Research Applications for Public Health Measurement and Intervention 1 23 .
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Yubeen Bae, Yoanna Seong, Seok Hyeon Kim & Sojung Kim. (2020) Clinical Characteristics of Non-Suicidal Self-Injury and Suicide Attempts among Psychiatric Patients in Korea: A Retrospective Chart Review. Psychiatry Investigation 17:4, pages 320-330.
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Shahan Ali Memon, Saquib Razak & Ingmar Weber. (2020) Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study. Journal of Medical Internet Research 22:1, pages e13347.
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Yi Chai, Hao Luo, Qingpeng Zhang, Qijin Cheng, Carrie S.M. Lui & Paul S.F. Yip. (2019) Developing an early warning system of suicide using Google Trends and media reporting. Journal of Affective Disorders 255, pages 41-49.
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V. Gianfredi, N.L. Bragazzi, M. Mahamid, B. Bisharat, N. Mahroum, H. Amital & M. Adawi. (2018) Monitoring public interest toward pertussis outbreaks: an extensive Google Trends–based analysis. Public Health 165, pages 9-15.
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Amaryllis Mavragani, Gabriela Ochoa & Konstantinos P Tsagarakis. (2018) Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 20:11, pages e270.
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Jonas Christoffer Tana, Jyrki Kettunen, Emil Eirola & Heikki Paakkonen. (2018) Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data. JMIR Mental Health 5:2, pages e43.
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Mohammad Adawi, Howard Amital, Mahmud Mahamid, Daniela Amital, Bishara Bisharat, Naim Mahroum, Kassem Sharif, Adi Guy, Amin Adawi, Hussein Mahagna, Arsalan Abu Much, Samaa Watad, Nicola Luigi Bragazzi & Abdulla Watad. (2018) Searching the Internet for psychiatric disorders among Arab and Jewish Israelis: insights from a comprehensive infodemiological survey. PeerJ 6, pages e4507.
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Seungwoo HanYongho KoJimin KimTaehoon Hong. (2018) Housing Market Trend Forecasts through Statistical Comparisons based on Big Data Analytic Methods. Journal of Management in Engineering 34:2.
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Juan-Luis Muñoz-Sánchez, Carmen Delgado, Andrés Sánchez-Prada, Esther Parra-Vidales, Diego de Leo & Manuel Franco-Martín. (2018) Facilitating Factors and Barriers to the Use of Emerging Technologies for Suicide Prevention in Europe: Multicountry Exploratory Study. JMIR Mental Health 5:1, pages e7.
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Madhur VermaKamal KishoreMukesh KumarAparajita Ravi SondhGaurav AggarwalSoundappan Kathirvel. (2018) Google Search Trends Predicting Disease Outbreaks: An Analysis from India. Healthcare Informatics Research 24:4, pages 300.
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Hyesil Jung, Hyeoun-Ae Park & Tae-Min Song. (2017) Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals. Journal of Medical Internet Research 19:7, pages e259.
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Murielle Villani & Viviane Kovess-Masfety. (2017) How Do People Experiencing Schizophrenia Spectrum Disorders or Other Psychotic Disorders Use the Internet to Get Information on Their Mental Health? Literature Review and Recommendations. JMIR Mental Health 4:1, pages e1.
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Nicola Luigi Bragazzi, Guglielmo Dini, Alessandra Toletone, Francesco Brigo & Paolo Durando. (2016) Leveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot Study. PLOS ONE 11:11, pages e0166051.
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Nicola Luigi Bragazzi, Susanna Bacigaluppi, Chiara Robba, Raffaele Nardone, Eugen Trinka & Francesco Brigo. (2016) Infodemiology of status epilepticus: A systematic validation of the Google Trends-based search queries. Epilepsy & Behavior 55, pages 120-123.
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Ai Koyanagi, Andrew Stickley & Josep Maria Haro. (2015) Psychotic-Like Experiences and Nonsuidical Self-Injury in England: Results from a National Survey. PLOS ONE 10:12, pages e0145533.
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Maximilian Gahr, Zeljko Uzelac, René Zeiss, Bernhard J. Connemann, Dirk Lang & Carlos Schönfeldt-Lecuona. (2015) Linking Annual Prescription Volume of Antidepressants to Corresponding Web Search Query Data. Journal of Clinical Psychopharmacology 35:6, pages 681-685.
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Penglai Chen, Jing Chai, Lu Zhang & Debin Wang. (2014) Development and Application of a Chinese Webpage Suicide Information Mining System (Sims). Journal of Medical Systems 38:11.
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Sudhakar V. Nuti, Brian Wayda, Isuru Ranasinghe, Sisi Wang, Rachel P. Dreyer, Serene I. Chen & Karthik Murugiah. (2014) The Use of Google Trends in Health Care Research: A Systematic Review. PLoS ONE 9:10, pages e109583.
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Luiz Gustavo Brito, Rui Alberto Ferriani, Francisco José Candido-dos-Reis & Antonio Alberto Nogueira. (2014) Using a search-volume tool (Google Trends) to assess global interest for uterine fibroids. Archives of Gynecology and Obstetrics 289:6, pages 1163-1164.
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