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Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea
The outbreak of new infectious diseases is threatening human survival. Transmission of such diseases is determined by several factors, with climate being a very important factor. This study was conducted to assess the correlation between the occurrence of infectious diseases and climatic factors usi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527811/ https://www.ncbi.nlm.nih.gov/pubmed/34669138 http://dx.doi.org/10.1007/s11356-021-17085-2 |
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author | Joung, You Hyun Jang, Tae Su Kim, Jae Kyung |
author_facet | Joung, You Hyun Jang, Tae Su Kim, Jae Kyung |
author_sort | Joung, You Hyun |
collection | PubMed |
description | The outbreak of new infectious diseases is threatening human survival. Transmission of such diseases is determined by several factors, with climate being a very important factor. This study was conducted to assess the correlation between the occurrence of infectious diseases and climatic factors using data from the Sentinel Surveillance System and meteorological data from Gwangju, Jeollanam-do, Republic of Korea. The climate of Gwangju from June to September is humid, with this city having the highest average temperature, whereas that from December to February is cold and dry. Infection rates of Salmonella (temperature: r = 0.710**; relative humidity: r = 0.669**), E. coli (r = 0.617**; r = 0.626**), rotavirus (r = − 0.408**; r = − 0.618**), norovirus (r = − 0.463**; r = − 0.316**), influenza virus (r = − 0.726**; r = − 0.672**), coronavirus (r = − 0.684**; r = − 0.408**), and coxsackievirus (r = 0.654**; r = 0.548**) have been shown to have a high correlation with seasonal changes, specifically in these meteorological factors. Pathogens showing distinct seasonality in the occurrence of infection were observed, and there was a high correlation with the climate characteristics of Gwangju. In particular, viral diseases show strong seasonality, and further research on this matter is needed. Due to the current COVID-19 pandemic, quarantine and prevention have become important to block the spread of infectious diseases. For this purpose, studies that predict infectivity through various types of data related to infection are important. |
format | Online Article Text |
id | pubmed-8527811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-85278112021-10-21 Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea Joung, You Hyun Jang, Tae Su Kim, Jae Kyung Environ Sci Pollut Res Int Research Article The outbreak of new infectious diseases is threatening human survival. Transmission of such diseases is determined by several factors, with climate being a very important factor. This study was conducted to assess the correlation between the occurrence of infectious diseases and climatic factors using data from the Sentinel Surveillance System and meteorological data from Gwangju, Jeollanam-do, Republic of Korea. The climate of Gwangju from June to September is humid, with this city having the highest average temperature, whereas that from December to February is cold and dry. Infection rates of Salmonella (temperature: r = 0.710**; relative humidity: r = 0.669**), E. coli (r = 0.617**; r = 0.626**), rotavirus (r = − 0.408**; r = − 0.618**), norovirus (r = − 0.463**; r = − 0.316**), influenza virus (r = − 0.726**; r = − 0.672**), coronavirus (r = − 0.684**; r = − 0.408**), and coxsackievirus (r = 0.654**; r = 0.548**) have been shown to have a high correlation with seasonal changes, specifically in these meteorological factors. Pathogens showing distinct seasonality in the occurrence of infection were observed, and there was a high correlation with the climate characteristics of Gwangju. In particular, viral diseases show strong seasonality, and further research on this matter is needed. Due to the current COVID-19 pandemic, quarantine and prevention have become important to block the spread of infectious diseases. For this purpose, studies that predict infectivity through various types of data related to infection are important. Springer Berlin Heidelberg 2021-10-20 2022 /pmc/articles/PMC8527811/ /pubmed/34669138 http://dx.doi.org/10.1007/s11356-021-17085-2 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Joung, You Hyun Jang, Tae Su Kim, Jae Kyung Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea |
title | Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea |
title_full | Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea |
title_fullStr | Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea |
title_full_unstemmed | Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea |
title_short | Association among sentinel surveillance, meteorological factors, and infectious disease in Gwangju, Korea |
title_sort | association among sentinel surveillance, meteorological factors, and infectious disease in gwangju, korea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527811/ https://www.ncbi.nlm.nih.gov/pubmed/34669138 http://dx.doi.org/10.1007/s11356-021-17085-2 |
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