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Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis

After the first COVID-19 patient was diagnosed, non-pharmaceutical interventions such as social distancing and behavior change campaigns were implemented in South Korea. The social distancing policy restricted unnecessary gatherings and activities to prevent local transmission. This study aims to ev...

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Autores principales: Noh, Jin-Won, Lee, Woo-Ri, Kim, Li-Hyun, Cheon, Jooyoung, Kwon, Young Dae, Yoo, Ki-Bong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956170/
https://www.ncbi.nlm.nih.gov/pubmed/36833505
http://dx.doi.org/10.3390/ijerph20042808
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author Noh, Jin-Won
Lee, Woo-Ri
Kim, Li-Hyun
Cheon, Jooyoung
Kwon, Young Dae
Yoo, Ki-Bong
author_facet Noh, Jin-Won
Lee, Woo-Ri
Kim, Li-Hyun
Cheon, Jooyoung
Kwon, Young Dae
Yoo, Ki-Bong
author_sort Noh, Jin-Won
collection PubMed
description After the first COVID-19 patient was diagnosed, non-pharmaceutical interventions such as social distancing and behavior change campaigns were implemented in South Korea. The social distancing policy restricted unnecessary gatherings and activities to prevent local transmission. This study aims to evaluate the effect of social distancing, a strategy for COVID-19 prevention, on the number of acute respiratory infection inpatients. This study used the number of hospitalized patients with acute respiratory infection from the Infectious Disease Portal of the Korea Centers for Disease Control and Prevention (KCDC) between the first week of January 2018, to the last week of January 2021. Intervention 1t represents the first patient occurrence of COVID-19, Intervention 2t represents the relaxing of the social distancing policy. We used acute respiratory infection statistics from Korea and segmented regression analysis was used. The analysis showed that the trend of the number of acute respiratory infection inpatients decreased after the implementation of the first patient incidence of COVID-19 due to prevention activities. After the relaxing of the social distancing policy, the number of inpatients with acute respiratory infections significantly increased. This study verified the effect of social distancing on the reduction in hospital admissions for acute respiratory viral infections.
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spelling pubmed-99561702023-02-25 Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis Noh, Jin-Won Lee, Woo-Ri Kim, Li-Hyun Cheon, Jooyoung Kwon, Young Dae Yoo, Ki-Bong Int J Environ Res Public Health Article After the first COVID-19 patient was diagnosed, non-pharmaceutical interventions such as social distancing and behavior change campaigns were implemented in South Korea. The social distancing policy restricted unnecessary gatherings and activities to prevent local transmission. This study aims to evaluate the effect of social distancing, a strategy for COVID-19 prevention, on the number of acute respiratory infection inpatients. This study used the number of hospitalized patients with acute respiratory infection from the Infectious Disease Portal of the Korea Centers for Disease Control and Prevention (KCDC) between the first week of January 2018, to the last week of January 2021. Intervention 1t represents the first patient occurrence of COVID-19, Intervention 2t represents the relaxing of the social distancing policy. We used acute respiratory infection statistics from Korea and segmented regression analysis was used. The analysis showed that the trend of the number of acute respiratory infection inpatients decreased after the implementation of the first patient incidence of COVID-19 due to prevention activities. After the relaxing of the social distancing policy, the number of inpatients with acute respiratory infections significantly increased. This study verified the effect of social distancing on the reduction in hospital admissions for acute respiratory viral infections. MDPI 2023-02-04 /pmc/articles/PMC9956170/ /pubmed/36833505 http://dx.doi.org/10.3390/ijerph20042808 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Noh, Jin-Won
Lee, Woo-Ri
Kim, Li-Hyun
Cheon, Jooyoung
Kwon, Young Dae
Yoo, Ki-Bong
Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis
title Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis
title_full Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis
title_fullStr Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis
title_full_unstemmed Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis
title_short Influence of COVID-19-Related Interventions on the Number of Inpatients with Acute Viral Respiratory Infections: Using Interrupted Time Series Analysis
title_sort influence of covid-19-related interventions on the number of inpatients with acute viral respiratory infections: using interrupted time series analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956170/
https://www.ncbi.nlm.nih.gov/pubmed/36833505
http://dx.doi.org/10.3390/ijerph20042808
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