Meteorological drivers of respiratory syncytial virus infections in Singapore

Abstract 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 ),...

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Autores principales:	Sheikh Taslim Ali, Clarence C. Tam, Benjamin J. Cowling, Kee Thai Yeo, Chee Fu Yung
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9135379fa066434ca49b5928bc4d605c
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spelling	oai:doaj.org-article:9135379fa066434ca49b5928bc4d605c2021-12-02T11:42:13ZMeteorological drivers of respiratory syncytial virus infections in Singapore10.1038/s41598-020-76888-42045-2322https://doaj.org/article/9135379fa066434ca49b5928bc4d605c2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-76888-4https://doaj.org/toc/2045-2322Abstract 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.Sheikh Taslim AliClarence C. TamBenjamin J. CowlingKee Thai YeoChee Fu YungNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-7 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sheikh Taslim Ali Clarence C. Tam Benjamin J. Cowling Kee Thai Yeo Chee Fu Yung Meteorological drivers of respiratory syncytial virus infections in Singapore
description	Abstract 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	article
author	Sheikh Taslim Ali Clarence C. Tam Benjamin J. Cowling Kee Thai Yeo Chee Fu Yung
author_facet	Sheikh Taslim Ali Clarence C. Tam Benjamin J. Cowling Kee Thai Yeo Chee Fu Yung
author_sort	Sheikh Taslim Ali
title	Meteorological drivers of respiratory syncytial virus infections in Singapore
title_short	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_sort	meteorological drivers of respiratory syncytial virus infections in singapore
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/9135379fa066434ca49b5928bc4d605c
work_keys_str_mv	AT sheikhtaslimali meteorologicaldriversofrespiratorysyncytialvirusinfectionsinsingapore AT clarencectam meteorologicaldriversofrespiratorysyncytialvirusinfectionsinsingapore AT benjaminjcowling meteorologicaldriversofrespiratorysyncytialvirusinfectionsinsingapore AT keethaiyeo meteorologicaldriversofrespiratorysyncytialvirusinfectionsinsingapore AT cheefuyung meteorologicaldriversofrespiratorysyncytialvirusinfectionsinsingapore
_version_	1718395356259024896

Meteorological drivers of respiratory syncytial virus infections in Singapore

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