Assessing the impact of non-pharmaceutical interventions against COVID-19 on 64 notifiable infectious diseases in Australia: A Bayesian Structural Time Series model

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dc.contributor.authorShovanur Haque
dc.contributor.authorStephen B Lambert
dc.contributor.authorKerrie Mengersen
dc.contributor.authorIan G Barr
dc.contributor.authorLiping Wang
dc.contributor.authorPuntani Pongsumpun
dc.contributor.authorZhongjie Li
dc.contributor.authorWeizhong Yang
dc.contributor.authorSotiris Vardoulakis
dc.contributor.authorHilary Bambrick
dc.contributor.authorWenbiao Hu
dc.date.accessioned2025-07-21T06:12:34Z
dc.date.issued2025-01-27
dc.identifier.doi10.1016/j.jiph.2025.102679
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14232
dc.subject2019-20 coronavirus outbreak
dc.subjectPandemic
dc.subject.classificationCOVID-19 epidemiological studies
dc.titleAssessing the impact of non-pharmaceutical interventions against COVID-19 on 64 notifiable infectious diseases in Australia: A Bayesian Structural Time Series model
dc.typeArticle

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