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dc.contributor.authorXu, M
dc.contributor.authorLi, Y
dc.contributor.authorLiu, B
dc.contributor.authorChen, R
dc.contributor.authorSheng, L
dc.contributor.authorYan, S
dc.contributor.authorChen, H
dc.contributor.authorHou, J
dc.contributor.authorYuan, L
dc.contributor.authorKe, L
dc.contributor.authorFan, M
dc.contributor.authorHu, P
dc.date.accessioned2021-07-21T10:12:12Z
dc.date.available2021-07-21T10:12:12Z
dc.date.issued2020-12-28
dc.identifier.citationXu M et al (2021). Temperature and humidity associated with increases in tuberculosis notifications: a timeseries study in Hong Kong. Epidemiology and Infection 149, e8, 1–9. https://doi.org/10.1017/ S0950268820003040en
dc.identifier.issn0950-2688en
dc.identifier.pmid33436107 (pubmed)
dc.identifier.doi10.1017/S0950268820003040en
dc.identifier.urihttp://hdl.handle.net/2436/624207
dc.description© 2020 The Authors. Published by Cambridge University Press. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1017/S0950268820003040[Opens in a new window]en
dc.description.abstractPrevious studies have revealed associations of meteorological factors with tuberculosis (TB) cases. However, few studies have examined their lag effects on TB cases. This study was aimed to analyse nonlinear lag effects of meteorological factors on the number of TB notifications in Hong Kong. Using a 22-year consecutive surveillance data in Hong Kong, we examined the association of monthly average temperature and relative humidity with temporal dynamics of the monthly number of TB notifications using a distributed lag nonlinear models combined with a Poisson regression. The relative risks (RRs) of TB notifications were >1.15 as monthly average temperatures were between 16.3 and 17.3 °C at lagged 13-15 months, reaching the peak risk of 1.18 (95% confidence interval (CI) 1.02-1.35) when it was 16.8 °C at lagged 14 months. The RRs of TB notifications were >1.05 as relative humidities of 60.0-63.6% at lagged 9-11 months expanded to 68.0-71.0% at lagged 12-17 months, reaching the highest risk of 1.06 (95% CI 1.01-1.11) when it was 69.0% at lagged 13 months. The nonlinear and delayed effects of average temperature and relative humidity on TB epidemic were identified, which may provide a practical reference for improving the TB warning system.en
dc.formatapplication/pdfen
dc.languageeng
dc.language.isoenen
dc.publisherCambridge University Pressen
dc.relation.urlhttps://www.cambridge.org/core/journals/epidemiology-and-infection/article/temperature-and-humidity-associated-with-increases-in-tuberculosis-notifications-a-timeseries-study-in-hong-kong/CEB3F62105B5A5AC15293C6E4B6B31CAen
dc.rightsLicence for published version: Creative Commons Attribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectrelative humidityen
dc.subjecttemperatureen
dc.subjecttuberculosis notificationen
dc.titleTemperature and humidity associated with increases in tuberculosis notifications: a time-series study in Hong Kongen
dc.typeJournal articleen
dc.identifier.eissn1469-4409
dc.identifier.journalEpidemiology and infectionen
dc.date.updated2021-07-16T10:32:31Z
dc.contributor.institutionKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan430030, Hubei, China.
pubs.place-of-publicationEngland
dc.date.accepted2020-11-30
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW21072021RCen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2021-07-21en
dc.source.volume149
dc.source.beginpagee8
dc.description.versionPublished version
refterms.dateFCD2021-07-21T10:12:03Z
refterms.versionFCDVoR
refterms.dateFOA2021-07-21T10:12:13Z


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Licence for published version: Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Licence for published version: Creative Commons Attribution 4.0 International