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Otologic disease trends in Japan post-COVID-19 outbreak: A retrospective time-series analysis
Keisuke Kondo1, Keiji Honda2, Keiichi Goshima3
1Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, , S1651/S1568 M&D Tower, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138519, Japan; Department of Otorhinolaryngology, Tokyo Medical and Dental University, Tokyo, Japan.
Objective:
To evaluate the potential impact of coronavirus disease 2019 (COVID-19) and vaccinations on otologic diseases, including facial nerve paralysis (including Ramsay Hunt syndrome), vestibular neuritis, sudden sensorineural hearing loss, and Meniere's disease.
Methods:
In this retrospective study, we conducted a time-series analysis employing a causal impact algorithm on a large-scale inpatient database in Japan. We compared the actual number of hospitalized patients with otologic diseases to two predictions: one without any covariates and another with a covariate accounting for the reduction in the number of hospitalized patients due to lockdown measures. Additionally, we performed Granger causality tests to ensure the robustness of our findings.
Results:
No significant increase was noted in the number of hospitalized patients with otologic diseases following the onset of the COVID-19 pandemic in the causal impact analysis. Similarly, no notable surge was observed in hospitalizations for these diseases following the introduction of the COVID-19 vaccine. The Granger causality tests results aligned with the causal impact analysis findings.
Conclusion:
Our findings indicate that COVID-19 and vaccinations had minimal discernible effects on hospitalization of patients with otologic diseases, suggesting that otologic diseases may not be significantly impacted by COVID-19 and vaccinations, which could have implications for public health policies and the allocation of healthcare resources during a pandemic. Further research and monitoring of long-term effects are warranted to validate these findings and guide healthcare decision-making.
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