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Meteorological drivers of respiratory syncytial virus infections in Singapore
Meteorological drivers are known to affect transmissibility of respiratory viruses including respiratory syncytial virus (RSV), but there are few studies quantifying the role of these drivers. We used daily RSV hospitalization data to estimate the daily effective reproduction number (R(t)), a real-t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686497/ https://www.ncbi.nlm.nih.gov/pubmed/33235232 http://dx.doi.org/10.1038/s41598-020-76888-4 |
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author | Ali, Sheikh Taslim Tam, Clarence C. Cowling, Benjamin J. Yeo, Kee Thai Yung, Chee Fu |
author_facet | Ali, Sheikh Taslim Tam, Clarence C. Cowling, Benjamin J. Yeo, Kee Thai Yung, Chee Fu |
author_sort | Ali, Sheikh Taslim |
collection | PubMed |
description | Meteorological drivers are known to affect transmissibility of respiratory viruses including respiratory syncytial virus (RSV), but there are few studies quantifying the role of these drivers. We used daily RSV hospitalization data to estimate the daily effective reproduction number (R(t)), a real-time measure of transmissibility, and examined its relationship with environmental drivers in Singapore from 2005 through 2015. We used multivariable regression models to quantify the proportion of the variance in R(t) explained by each meteorological driver. After constructing a basic model for RSV seasonality, we found that by adding meteorological variables into this model we were able to explain a further 15% of the variance in RSV transmissibility. Lower and higher value of mean temperature, diurnal temperature range (DTR), precipitation and relative humidity were associated with increased RSV transmissibility, while higher value of maximum wind speed was correlated with decreased RSV transmissibility. We found that a number of meteorological drivers were associated with RSV transmissibility. While indoor conditions may differ from ambient outdoor conditions, our findings are indicative of a role of ambient temperature, humidity and wind speed in affecting RSV transmission that could be biological or could reflect indirect effects via the consequences on time spent indoors. |
format | Online Article Text |
id | pubmed-7686497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76864972020-11-27 Meteorological drivers of respiratory syncytial virus infections in Singapore Ali, Sheikh Taslim Tam, Clarence C. Cowling, Benjamin J. Yeo, Kee Thai Yung, Chee Fu Sci Rep Article Meteorological drivers are known to affect transmissibility of respiratory viruses including respiratory syncytial virus (RSV), but there are few studies quantifying the role of these drivers. We used daily RSV hospitalization data to estimate the daily effective reproduction number (R(t)), a real-time measure of transmissibility, and examined its relationship with environmental drivers in Singapore from 2005 through 2015. We used multivariable regression models to quantify the proportion of the variance in R(t) explained by each meteorological driver. After constructing a basic model for RSV seasonality, we found that by adding meteorological variables into this model we were able to explain a further 15% of the variance in RSV transmissibility. Lower and higher value of mean temperature, diurnal temperature range (DTR), precipitation and relative humidity were associated with increased RSV transmissibility, while higher value of maximum wind speed was correlated with decreased RSV transmissibility. We found that a number of meteorological drivers were associated with RSV transmissibility. While indoor conditions may differ from ambient outdoor conditions, our findings are indicative of a role of ambient temperature, humidity and wind speed in affecting RSV transmission that could be biological or could reflect indirect effects via the consequences on time spent indoors. Nature Publishing Group UK 2020-11-24 /pmc/articles/PMC7686497/ /pubmed/33235232 http://dx.doi.org/10.1038/s41598-020-76888-4 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Ali, Sheikh Taslim Tam, Clarence C. Cowling, Benjamin J. Yeo, Kee Thai Yung, Chee Fu Meteorological drivers of respiratory syncytial virus infections in Singapore |
title | Meteorological drivers of respiratory syncytial virus infections in Singapore |
title_full | Meteorological drivers of respiratory syncytial virus infections in Singapore |
title_fullStr | Meteorological drivers of respiratory syncytial virus infections in Singapore |
title_full_unstemmed | Meteorological drivers of respiratory syncytial virus infections in Singapore |
title_short | Meteorological drivers of respiratory syncytial virus infections in Singapore |
title_sort | meteorological drivers of respiratory syncytial virus infections in singapore |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686497/ https://www.ncbi.nlm.nih.gov/pubmed/33235232 http://dx.doi.org/10.1038/s41598-020-76888-4 |
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