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