This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2803) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Infodemiology and Infoveillance (1449) Immunology, Allergy, Rheumatology (107) Reviews on Usage or other Formative Evaluation Metrics (50)

Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33941, first published .
Exploring Relationships Between Tweet Numbers and Over-the-counter Drug Sales for Allergic Rhinitis: Retrospective Analysis

Exploring Relationships Between Tweet Numbers and Over-the-counter Drug Sales for Allergic Rhinitis: Retrospective Analysis

Exploring Relationships Between Tweet Numbers and Over-the-counter Drug Sales for Allergic Rhinitis: Retrospective Analysis

Authors of this article:

Shoko Wakamiya1 Author Orcid Image ;   Osamu Morimoto2 Author Orcid Image ;   Katsuhiro Omichi2 Author Orcid Image ;   Hideyuki Hara2 Author Orcid Image ;   Ichiro Kawase2 Author Orcid Image ;   Ryuji Koshiba3 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by (6) Tweetations (7) Metrics

Journals

  1. 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
  2. Sano Y, Hori A, Kolahi J. 12-year observation of tweets about rubella in Japan: A retrospective infodemiology study. PLOS ONE 2023;18(5):e0285101 View
  3. Akasaki Y, Iwagami M, Sung J, Nagino K, Adachi T, Morita H, Tamari M, Kainuma K, Kan‐o K, Ogata H, Sakashita M, Futamura M, Kurashima Y, Nakajima S, Masaki K, Ogawa Y, Sato S, Miyagawa A, Midorikawa‐Inomata A, Fujimoto K, Okumura Y, Fujio K, Huang T, Hirosawa K, Morooka Y, Nakao S, Murakami A, Kobayashi H, Inomata T. Impact of COVID‐19 on care‐seeking patterns for hay fever in Japan: A retrospective claims database cohort study. Allergy 2024;79(4):1056 View
  4. Akasaki Y, Inomata T, Iwagami M, Sung J, Nagino K, Adachi T, Morita H, Tamari M, Kainuma K, Kan‐o K, Ogata H, Sakashita M, Futamura M, Kurashima Y, Nakajima S, Masaki K, Ogawa Y, Sato S, Miyagawa A, Midorikawa‐Inomata A, Fujimoto K, Okumura Y, Fujio K, Huang T, Hirosawa K, Morooka Y, Murakami A, Nakao S. The impact of COVID‐19 on hay fever treatment in Japan: A retrospective cohort study based on the Japanese claims database. Clinical and Translational Allergy 2024;14(9) View
  5. Portela D, Freitas A, Costa E, Giovannini M, Bousquet J, Almeida Fonseca J, Sousa-Pinto B. Impact of Demographic and Clinical Subgroups in Google Trends Data: Infodemiology Case Study on Asthma Hospitalizations. Journal of Medical Internet Research 2025;27:e51804 View

Books/Policy Documents

  1. Benavides M, Correa J, Quiñonez S, Yepez K, Vizcaino-Imacaña P, Almeida-Galárraga D, Tirado-Espín A. Communication and Applied Technologies. View