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Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau

Few studies have evaluated the influence of meteorological variables on different influenza types in subtropical regions. This study aimed to explore the association between meteorological variables and the onset of influenza A (Flu-A) and B (Flu-B) in Macau. Daily influenza case data in Macau were...

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Autores principales: Ng, HoiMan, Li, Yusi, Zhang, Teng, Lu, Yiping, Wong, ChioHang, Ni, Jinliang, Zhao, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713336/
https://www.ncbi.nlm.nih.gov/pubmed/36468127
http://dx.doi.org/10.1016/j.heliyon.2022.e11820
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author Ng, HoiMan
Li, Yusi
Zhang, Teng
Lu, Yiping
Wong, ChioHang
Ni, Jinliang
Zhao, Qi
author_facet Ng, HoiMan
Li, Yusi
Zhang, Teng
Lu, Yiping
Wong, ChioHang
Ni, Jinliang
Zhao, Qi
author_sort Ng, HoiMan
collection PubMed
description Few studies have evaluated the influence of meteorological variables on different influenza types in subtropical regions. This study aimed to explore the association between meteorological variables and the onset of influenza A (Flu-A) and B (Flu-B) in Macau. Daily influenza case data in Macau were collected from Kiang Wu Hospital from 1 January, 2014 to 31 December, 2018. Daily meteorological data were obtained from the Macau Meteorological Service. The distributed lag non-linear model (DLNM) was used to estimate the effects of meteorological variables on seasonal influenza outbreaks. Regarding mean air temperature (temp), the peaks of the cumulative relative risks (RRs) of Flu-A and Flu-B were both at 4.0 °C and 28.0 °C. Regarding the diurnal temperature range (DTR), the peaks of the cumulative RR of Flu-A were at 1.0 °C and 5.0 °C, while the cumulative RR of Flu-B increased as the DTR decreased. The association between influenza risks and relative humidity (RH) showed a U-shape curve. The risk of influenza increased when the RH was below 50% or above 90%. The risk of both types of influenza increased significantly when the sunshine duration (SD) was below 3.5 h. Taking the median value as the reference, a significant cold effect was observed over 16–24 days lag for Flu-A. Lag effects were found for both types of influenza in low-DTR, and humid and short SD conditions. This study revealed complex non-linear association between meteorological variables and the different influenza types in Macau.
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spelling pubmed-97133362022-12-02 Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau Ng, HoiMan Li, Yusi Zhang, Teng Lu, Yiping Wong, ChioHang Ni, Jinliang Zhao, Qi Heliyon Research Article Few studies have evaluated the influence of meteorological variables on different influenza types in subtropical regions. This study aimed to explore the association between meteorological variables and the onset of influenza A (Flu-A) and B (Flu-B) in Macau. Daily influenza case data in Macau were collected from Kiang Wu Hospital from 1 January, 2014 to 31 December, 2018. Daily meteorological data were obtained from the Macau Meteorological Service. The distributed lag non-linear model (DLNM) was used to estimate the effects of meteorological variables on seasonal influenza outbreaks. Regarding mean air temperature (temp), the peaks of the cumulative relative risks (RRs) of Flu-A and Flu-B were both at 4.0 °C and 28.0 °C. Regarding the diurnal temperature range (DTR), the peaks of the cumulative RR of Flu-A were at 1.0 °C and 5.0 °C, while the cumulative RR of Flu-B increased as the DTR decreased. The association between influenza risks and relative humidity (RH) showed a U-shape curve. The risk of influenza increased when the RH was below 50% or above 90%. The risk of both types of influenza increased significantly when the sunshine duration (SD) was below 3.5 h. Taking the median value as the reference, a significant cold effect was observed over 16–24 days lag for Flu-A. Lag effects were found for both types of influenza in low-DTR, and humid and short SD conditions. This study revealed complex non-linear association between meteorological variables and the different influenza types in Macau. Elsevier 2022-11-24 /pmc/articles/PMC9713336/ /pubmed/36468127 http://dx.doi.org/10.1016/j.heliyon.2022.e11820 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ng, HoiMan
Li, Yusi
Zhang, Teng
Lu, Yiping
Wong, ChioHang
Ni, Jinliang
Zhao, Qi
Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
title Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
title_full Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
title_fullStr Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
title_full_unstemmed Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
title_short Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
title_sort association between multiple meteorological variables and seasonal influenza a and b virus transmission in macau
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713336/
https://www.ncbi.nlm.nih.gov/pubmed/36468127
http://dx.doi.org/10.1016/j.heliyon.2022.e11820
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