Seasonal Patterns and Trends in Dermatoses in Poland
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Petrakaki, Dimitra & Hilberg, Eva & Waring, Justin, 2018. "Between empowerment and self-discipline: Governing patients' conduct through technological self-care," Social Science & Medicine, Elsevier, vol. 213(C), pages 146-153.
- Declan Butler, 2013. "When Google got flu wrong," Nature, Nature, vol. 494(7436), pages 155-156, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Alessia Bertolazzi & Katarzyna Marzęda-Młynarska & Justyna Kięczkowska & Maria Letizia Zanier, 2024. "Datafication of Care: Security and Privacy Issues with Health Technology for People with Diabetes," Societies, MDPI, vol. 14(9), pages 1-25, August.
- Steven Heston & Nitish R. Sinha, 2016. "News versus Sentiment : Predicting Stock Returns from News Stories," Finance and Economics Discussion Series 2016-048, Board of Governors of the Federal Reserve System (U.S.).
- Zeynep Ertem & Dorrie Raymond & Lauren Ancel Meyers, 2018. "Optimal multi-source forecasting of seasonal influenza," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-16, September.
- Ibrahim Musa & Hyun Woo Park & Lkhagvadorj Munkhdalai & Keun Ho Ryu, 2018. "Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization," Sustainability, MDPI, vol. 10(10), pages 1-20, September.
- Troels Kristensen & Kim Rose-Olsen & Christian Volmar Skovsgaard, 2020. "Effects of Point-Of-Care Testing in General Practice for Type 2 Diabetes Patients on Ambulatory Visits and Hospitalizations," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
- Rivera, Roberto, 2016. "A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data," Tourism Management, Elsevier, vol. 57(C), pages 12-20.
- Jiachen Sun & Peter A. Gloor, 2021. "Assessing the Predictive Power of Online Social Media to Analyze COVID-19 Outbreaks in the 50 U.S. States," Future Internet, MDPI, vol. 13(7), pages 1-13, July.
- Daniel E. O'Leary & Veda C. Storey, 2020. "A Google–Wikipedia–Twitter Model as a Leading Indicator of the Numbers of Coronavirus Deaths," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 151-158, July.
- Daskalopoulou, Athanasia & Palmer, Mark, 2021. "Persistent institutional breaches: Technology use in healthcare work," Social Science & Medicine, Elsevier, vol. 289(C).
- Jun, Seung-Pyo & Park, Do-Hyung, 2016. "Consumer information search behavior and purchasing decisions: Empirical evidence from Korea," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 97-111.
- Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert, 2019. "Demand forecasting with user-generated online information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 197-212.
- Kyweluk, Moira A., 2020. "Quantifying fertility? Direct-to-consumer ovarian reserve testing and the new (in)fertility pipeline," Social Science & Medicine, Elsevier, vol. 245(C).
- Jun, Seung-Pyo & Yoo, Hyoung Sun & Lee, Jae-Seong, 2021. "The impact of the pandemic declaration on public awareness and behavior: Focusing on COVID-19 google searches," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
- Jose Ramon Albert & Arturo Martinez Jr. & Katrina Miradora & Jan Arvin Lapuz & Marymell Martillan & Criselda De Dios & Iva Sebastian-Samaniego, 2019. "Readiness of National Statistical Systems in Asia and the Pacific for Leveraging Big Data to Monitor the SDGs," Working Papers id:13017, eSocialSciences.
- Katsikopoulos, Konstantinos V. & Şimşek, Özgür & Buckmann, Marcus & Gigerenzer, Gerd, 2022. "Transparent modeling of influenza incidence: Big data or a single data point from psychological theory?," International Journal of Forecasting, Elsevier, vol. 38(2), pages 613-619.
- Soo Beom Choi & Insung Ahn, 2020. "Forecasting seasonal influenza-like illness in South Korea after 2 and 30 weeks using Google Trends and influenza data from Argentina," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
- Denicolai, Stefano & Previtali, Pietro, 2020. "Precision Medicine: Implications for value chains and business models in life sciences," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
- Beate Franke & Jean-FRANçois Plante & Ribana Roscher & En-shiun Annie Lee & Cathal Smyth & Armin Hatefi & Fuqi Chen & Einat Gil & Alexander Schwing & Alessandro Selvitella & Michael M. Hoffman & Roger, 2016. "Statistical Inference, Learning and Models in Big Data," International Statistical Review, International Statistical Institute, vol. 84(3), pages 371-389, December.
- Dorner, Matthias & Haller, Peter, 2020. "Not coming in today - Firm productivity differentials and the epidemiology of the flu," IAB-Discussion Paper 202006, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
More about this item
Keywords
Google Trends; trends; seasonality; dermatoses; STD; infodemiology;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8934-:d:869511. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.