2022
DOI: 10.3346/jkms.2022.37.e15
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Rhinovirus Incidence Rates Indicate We Are Tired of Non-pharmacological Interventions Against Coronavirus Disease 2019

Abstract: Background During the coronavirus disease 2019 (COVID-19) pandemic, the incidence of rhinovirus (RV) is inversely related to the intensity of non-pharmacological interventions (NPIs), such as universal mask wearing and physical distancing. Methods Using RV surveillance data, changes in the effect of NPIs were investigated in South Korea during the pandemic. The time to the first visible effect of NPIs after the onset of NPIs (T1), time to the maximum effect (T2), and du… Show more

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Cited by 12 publications
(10 citation statements)
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“…We detected a high prevalence of HBoV1 (24 %) in our series, confirming a distribution concentrated in the first year of life. Unlike other respiratory viruses such as FLU, RSV and seasonal coronaviruses, which commonly peak during the months of autumn and winter [30, 31]⁠, most HBoV1+ cases occurred during the winter and spring, while the annual variations over the years spanning this study are probably due to the intrinsic circulation pattern of the virus [32–34]⁠.…”
Section: Discussionmentioning
confidence: 99%
“…We detected a high prevalence of HBoV1 (24 %) in our series, confirming a distribution concentrated in the first year of life. Unlike other respiratory viruses such as FLU, RSV and seasonal coronaviruses, which commonly peak during the months of autumn and winter [30, 31]⁠, most HBoV1+ cases occurred during the winter and spring, while the annual variations over the years spanning this study are probably due to the intrinsic circulation pattern of the virus [32–34]⁠.…”
Section: Discussionmentioning
confidence: 99%
“…As such, PHSMs are known to have a significant benefit in controlling the spread of COVID-19, but in practice, it is necessary to consider that the effectiveness of these policies may change continuously. This can be confirmed in the case of the South Korea, where as time passed, the time until the detection of an effect and the time for the maximum effect increased gradually, but the duration of the maximum effect appeared to decrease [ 13 ]. This means that the effect of the policy varied due to various causes, and these can be classified into two types of causes.…”
Section: Related Researchmentioning
confidence: 86%
“…In the early stage of the pandemic, 92.3% of survey respondents avoided using healthcare facilities [ 5 ]. However, the response to the warning signal slowed and weakened with the implementation of a stronger NPI for each surge [ 17 ]. Therefore, evaluating the variance of incidence was necessary.…”
Section: Discussionmentioning
confidence: 99%