IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13083-d939854.html
   My bibliography  Save this article

Changes in Otorhinolaryngologic Disease Incidences before and during the COVID-19 Pandemic in Korea

Author

Listed:
  • So Young Kim

    (Department of Otorhinolaryngology-Head & Neck Surgery, CHA Bundang Medical Center, CHA University, Seongnam 13496, Korea)

  • Dae Myoung Yoo

    (Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang 14068, Korea)

  • Ji Hee Kim

    (Department of Neurosurgery, Hallym University College of Medicine, Anyang 14068, Korea)

  • Mi Jung Kwon

    (Department of Pathology, Hallym University College of Medicine, Anyang 14068, Korea)

  • Joo-Hee Kim

    (Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Hallym University College of Medicine, Anyang 14068, Korea)

  • Juyong Chung

    (Department of Otorhinolaryngology-Head & Neck Surgery, Wonkwang University School of Medicine, Iksan 54538, Korea)

  • Hyo Geun Choi

    (Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang 14068, Korea
    Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang 14068, Korea)

Abstract

This study aimed to investigate the change in the incidence and variance of otorhinolaryngologic diseases during the coronavirus disease 19 (COVID-19) pandemic. The entire Korean population (~50 million) was evaluated for the monthly incidence of 11 common otorhinolaryngologic diseases of upper respiratory infection (URI), influenza, acute tonsillitis, peritonsillar abscess, retropharyngeal and parapharyngeal abscess, acute laryngitis and bronchitis, stomatitis and related lesions, acute sinusitis, rhinitis, otitis media, and dizziness from January 2018 through March 2021 using the International Classification of Disease (ICD)-10 codes with the data of the Korea National Health Insurance Service. The differences in the mean incidence of 11 common otorhinolaryngologic diseases before and during COVID-19 were compared using the Mann—Whitney U test. The differences in the variance of incidence before and during COVID-19 were compared using Levene’s test. The incidence of all 11 otorhinolaryngologic diseases was lower during COVID-19 than before COVID-19 (all p < 0.05). The variations in disease incidence by season were lower during COVID-19 than before COVID-19 for infectious diseases, including URI, influenza, acute tonsillitis, peritonsillar abscess, retropharyngeal and parapharyngeal abscess, acute laryngitis and bronchitis, acute sinusitis, and otitis media (all p < 0.05), while it was not in noninfectious diseases, including stomatitis, rhinitis, and dizziness. As expected, the incidences of all otorhinolalryngolgic diseases were decreased. Additionally, we found that seasonal variations in infectious diseases disappeared during the COVID-19 pandemic, while noninfectious diseases did not.

Suggested Citation

  • So Young Kim & Dae Myoung Yoo & Ji Hee Kim & Mi Jung Kwon & Joo-Hee Kim & Juyong Chung & Hyo Geun Choi, 2022. "Changes in Otorhinolaryngologic Disease Incidences before and during the COVID-19 Pandemic in Korea," IJERPH, MDPI, vol. 19(20), pages 1-10, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13083-:d:939854
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13083/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/20/13083/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yongin Choi & James Slghee Kim & Heejin Choi & Hyojung Lee & Chang Hyeong Lee, 2020. "Assessment of Social Distancing for Controlling COVID-19 in Korea: An Age-Structured Modeling Approach," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    Full references (including those not matched with items on IDEAS)

    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.
    1. González-Parra, Gilberto & Villanueva-Oller, Javier & Navarro-González, F.J. & Ceberio, Josu & Luebben, Giulia, 2024. "A network-based model to assess vaccination strategies for the COVID-19 pandemic by using Bayesian optimization," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    2. Yongin Choi & James Slghee Kim & Jung Eun Kim & Heejin Choi & Chang Hyeong Lee, 2021. "Vaccination Prioritization Strategies for COVID-19 in Korea: A Mathematical Modeling Approach," IJERPH, MDPI, vol. 18(8), pages 1-19, April.

    Corrections

    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:20:p:13083-:d:939854. 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.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.