Predicting COVID-19 transmission across cities: Insights from inter-city dynamics and temperature effects in Sydney, Melbourne, and Brisbane

These findings underscore the potential of using inter-city associations to develop early warning systems, enhancing the timeliness and effectiveness of public health responses. Incorporating weather factors and intervention measures such as economic support and containment policies can further refine predictive models, offering valuable tools for managing future pandemics.

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Publication Details

Journal
Public Health
Published
2025-08-18
DOI
https://doi.org/10.1016/j.puhe.2025.105913
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting COVID-19 transmission across cities: Insights from inter-city dynamics and temperature effects in Sydney, Melbourne, and Brisbane

Hannah McClymont, Wenbiao Hu
Public Health
COVID-19 epidemiological studies
article

Predicting COVID-19 transmission across cities: Insights from inter-city dynamics and temperature effects in Sydney, Melbourne, and Brisbane

Hannah McClymont, Wenbiao Hu
article en

Abstract

These findings underscore the potential of using inter-city associations to develop early warning systems, enhancing the timeliness and effectiveness of public health responses. Incorporating weather factors and intervention measures such as economic support and containment policies can further refine predictive models, offering valuable tools for managing future pandemics.

Public HealthVol. 247
Queensland University of Technology (AU)
Sustainable cities and communities
Openalex Percentile: Top 75%
COVID-19 epidemiological studies
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