Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10450, first published .
Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis

Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis

Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis

Journals

  1. Alvarez-Mon M, Llavero-Valero M, Sánchez-Bayona R, Pereira-Sanchez V, Vallejo-Valdivielso M, Monserrat J, Lahera G, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2019;21(5):e14110 View
  2. Shi H, Pan C, Ma T, Chen Y, Yan W, Liu J, Cao M, Huang H, Wang D, Wang X, Wei J. Clinical Efficacy Evaluation of 1-Year Subcutaneous Immunotherapy for Artemisia sieversiana Pollen Allergic Rhinitis by Serum Metabolomics. Frontiers in Pharmacology 2020;11 View
  3. Pereira-Sanchez V, Alvarez-Mon M, Asunsolo del Barco A, Alvarez-Mon M, Teo A. Exploring the Extent of the Hikikomori Phenomenon on Twitter: Mixed Methods Study of Western Language Tweets. Journal of Medical Internet Research 2019;21(5):e14167 View
  4. Yazdavar A, Mahdavinejad M, Bajaj G, Romine W, Sheth A, Monadjemi A, Thirunarayan K, Meddar J, Myers A, Pathak J, Hitzler P, Zhao J. Multimodal mental health analysis in social media. PLOS ONE 2020;15(4):e0226248 View
  5. Suanno C, Aloisi I, Fernández-González D, Del Duca S. Pollen forecasting and its relevance in pollen allergen avoidance. Environmental Research 2021;200:111150 View
  6. Wakamiya S, Morimoto O, Omichi K, Hara H, Kawase I, Koshiba R, Aramaki E. Exploring Relationships Between Tweet Numbers and Over-the-counter Drug Sales for Allergic Rhinitis: Retrospective Analysis. JMIR Formative Research 2022;6(2):e33941 View
  7. Huang A, Chan E, Stave C, Patel Z, Hwang P, Chang M. Social Media Utilization in Otolaryngology: A Scoping Review. The Laryngoscope 2023;133(10):2447 View
  8. Zhang W, Xie B, Liu M, Wang Y. Associations between sensitisation to allergens and allergic diseases: a hospital-based case–control study in China. BMJ Open 2022;12(2):e050047 View
  9. Bartmess M, Talbot C, O’Dwyer S, Lopez R, Rose K, Anderson J. Using Twitter to understand perspectives and experiences of dementia and caregiving at the beginning of the COVID-19 pandemic. Dementia 2022;21(5):1734 View
  10. Alvarez‐Perea A, Dimov V, Popescu F, Zubeldia J. The applications of eHealth technologies in the management of asthma and allergic diseases. Clinical and Translational Allergy 2021;11(7) View
  11. Sitaru S, Wecker H, Buters J, Biedermann T, Zink A. Social media to monitor prevalent diseases: Hay fever and Twitter activity in Germany. Allergy 2023;78(10):2777 View
  12. Li Q, Zhang X, Feng Q, Zhou H, Ma C, Lin C, Wang D, Yin J. Common Allergens and Immune Responses Associated with Allergic Rhinitis in China. Journal of Asthma and Allergy 2023;Volume 16:851 View
  13. Sousa‐Pinto B, Jankin S, Vieira R, Marques‐Cruz M, Fonseca J, Bousquet J. English tweets on allergy: Content analysis and association with surveillance data. Clinical & Experimental Allergy 2024;54(7):500 View