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Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study
Factors affecting the start date of the influenza epidemic season and total number of infected persons per 1,000,000 population in 47 prefectures of Japan were evaluated. This retrospective observational study (September 2014–August 2019; N = 472,740–883,804) evaluated data from a Japanese health in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415347/ https://www.ncbi.nlm.nih.gov/pubmed/37563139 http://dx.doi.org/10.1038/s41598-023-39617-1 |
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author | Ito, Genta Takazono, Takahiro Hosogaya, Naoki Iwanaga, Naoki Miyazawa, Shogo Fujita, Satoki Watanabe, Hideaki Mukae, Hiroshi |
author_facet | Ito, Genta Takazono, Takahiro Hosogaya, Naoki Iwanaga, Naoki Miyazawa, Shogo Fujita, Satoki Watanabe, Hideaki Mukae, Hiroshi |
author_sort | Ito, Genta |
collection | PubMed |
description | Factors affecting the start date of the influenza epidemic season and total number of infected persons per 1,000,000 population in 47 prefectures of Japan were evaluated. This retrospective observational study (September 2014–August 2019; N = 472,740–883,804) evaluated data from a Japanese health insurance claims database. Single and multiple regression analyses evaluated the time to start of the epidemic or total infected persons per 1,000,000 population with time to absolute humidity (AH) or number of days with AH (≤ 5.5, ≤ 6.0, ≤ 6.5, and ≤ 7.0), total visitors (first epidemic month or per day), and total population. For the 2014/15, 2015/16, and 2016/17 seasons, a weak-to-moderate positive correlation (R(2): 0.042–0.417) was observed between time to start of the epidemic and time to first day with AH below the cutoff values. Except in the 2016/17 season (R(2): 0.089), a moderate correlation was reported between time to start of the epidemic and the total population (R(2): 0.212–0.401). For all seasons, multiple regression analysis showed negative R(2) for time to start of the epidemic and total visitors and population density (positive for time to AH ≤ 7.0). The earlier the climate becomes suitable for virus transmission and the higher the human mobility (more visitors and higher population density), the earlier the epidemic season tends to begin. |
format | Online Article Text |
id | pubmed-10415347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104153472023-08-12 Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study Ito, Genta Takazono, Takahiro Hosogaya, Naoki Iwanaga, Naoki Miyazawa, Shogo Fujita, Satoki Watanabe, Hideaki Mukae, Hiroshi Sci Rep Article Factors affecting the start date of the influenza epidemic season and total number of infected persons per 1,000,000 population in 47 prefectures of Japan were evaluated. This retrospective observational study (September 2014–August 2019; N = 472,740–883,804) evaluated data from a Japanese health insurance claims database. Single and multiple regression analyses evaluated the time to start of the epidemic or total infected persons per 1,000,000 population with time to absolute humidity (AH) or number of days with AH (≤ 5.5, ≤ 6.0, ≤ 6.5, and ≤ 7.0), total visitors (first epidemic month or per day), and total population. For the 2014/15, 2015/16, and 2016/17 seasons, a weak-to-moderate positive correlation (R(2): 0.042–0.417) was observed between time to start of the epidemic and time to first day with AH below the cutoff values. Except in the 2016/17 season (R(2): 0.089), a moderate correlation was reported between time to start of the epidemic and the total population (R(2): 0.212–0.401). For all seasons, multiple regression analysis showed negative R(2) for time to start of the epidemic and total visitors and population density (positive for time to AH ≤ 7.0). The earlier the climate becomes suitable for virus transmission and the higher the human mobility (more visitors and higher population density), the earlier the epidemic season tends to begin. Nature Publishing Group UK 2023-08-10 /pmc/articles/PMC10415347/ /pubmed/37563139 http://dx.doi.org/10.1038/s41598-023-39617-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ito, Genta Takazono, Takahiro Hosogaya, Naoki Iwanaga, Naoki Miyazawa, Shogo Fujita, Satoki Watanabe, Hideaki Mukae, Hiroshi Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study |
title | Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study |
title_full | Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study |
title_fullStr | Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study |
title_full_unstemmed | Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study |
title_short | Impact of meteorological and demographic factors on the influenza epidemic in Japan: a large observational database study |
title_sort | impact of meteorological and demographic factors on the influenza epidemic in japan: a large observational database study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415347/ https://www.ncbi.nlm.nih.gov/pubmed/37563139 http://dx.doi.org/10.1038/s41598-023-39617-1 |
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