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Article: Meteorological drivers of respiratory syncytial virus infections in Singapore

TitleMeteorological drivers of respiratory syncytial virus infections in Singapore
Authors
Issue Date2020
PublisherNature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/srep/index.html
Citation
Scientific Reports, 2020, v. 10 n. 1, p. article no. 20469 How to Cite?
AbstractMeteorological 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 (Rt), 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 Rt 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.
Persistent Identifierhttp://hdl.handle.net/10722/290818
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 0.900
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAli, ST-
dc.contributor.authorTam, CC-
dc.contributor.authorCowling, BJ-
dc.contributor.authorYeo, KT-
dc.contributor.authorYung, CF-
dc.date.accessioned2020-11-02T05:47:34Z-
dc.date.available2020-11-02T05:47:34Z-
dc.date.issued2020-
dc.identifier.citationScientific Reports, 2020, v. 10 n. 1, p. article no. 20469-
dc.identifier.issn2045-2322-
dc.identifier.urihttp://hdl.handle.net/10722/290818-
dc.description.abstractMeteorological 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 (Rt), 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 Rt 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.-
dc.languageeng-
dc.publisherNature Research (part of Springer Nature): Fully open access journals. The Journal's web site is located at http://www.nature.com/srep/index.html-
dc.relation.ispartofScientific Reports-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleMeteorological drivers of respiratory syncytial virus infections in Singapore-
dc.typeArticle-
dc.identifier.emailAli, ST: alist15@hku.hk-
dc.identifier.emailCowling, BJ: bcowling@hku.hk-
dc.identifier.authorityAli, ST=rp02673-
dc.identifier.authorityCowling, BJ=rp01326-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/s41598-020-76888-4-
dc.identifier.pmid33235232-
dc.identifier.pmcidPMC7686497-
dc.identifier.scopuseid_2-s2.0-85096524048-
dc.identifier.hkuros318296-
dc.identifier.volume10-
dc.identifier.issue1-
dc.identifier.spagearticle no. 20469-
dc.identifier.epagearticle no. 20469-
dc.identifier.isiWOS:000596283100028-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2045-2322-

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