Co-designing a public health data analytics platform

L. Otieno; P. Henderson; S. Khanna; N. Spurrier; L. J. Palmer; G. Hendrie; R. Mahoney; P. Arbon; J. Ferguson; P. Sharpe; M. Mittinty; H. Haji Ali Afzali; J. Rathjen; L. Bierbaum; G. Sallows; S. Omodei-James; S. Dahia; C. Miller; B. Bonevski; C. Ryder

doi:10.1038/s41591-025-03806-4

Co-designing a public health data analytics platform

L. Otieno, P. Henderson, S. Khanna, N. Spurrier, L. J. Palmer, G. Hendrie, R. Mahoney, P. Arbon, J. Ferguson, P. Sharpe, M. Mittinty, H. Haji Ali Afzali, J. Rathjen, L. Bierbaum, G. Sallows, S. Omodei-James, S. Dahia, C. Miller, B. Bonevski, C. Ryder

Research output: Contribution to journal › Letter › peer-review

Abstract

Pandemics such as COVID-19 reveal unique challenges to public health systems worldwide, particularly the need for real-time insights into the risk of infectious disease spread to guide public health prevention and containment efforts1. During the COVID-19 pandemic, Australia reported the second lowest prevalence of SARS-CoV-2 infections per 100,000 people and the third lowest number of confirmed or suspected COVID-19 deaths per million population, relative to the 37 other countries of the Organisation for Economic Co-operation and Development2. Although many factors contributed to this success, evidence-based decision-making and nationwide collaboration through the use of predictive modeling were key. This allowed policymakers to evaluate population risk and compare potential public health outcomes associated with various disease-control strategies.

Original language	English
Pages (from-to)	3952-3953
Number of pages	2
Journal	Nature Medicine
Volume	31
Issue number	12
Early online date	3 Jul 2025
DOIs	https://doi.org/10.1038/s41591-025-03806-4
Publication status	Published - Dec 2025

Keywords

public health data
Data analytics
public health systems research
predictive modelling
public health outcomes

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Otieno, L., Henderson, P., Khanna, S., Spurrier, N., Palmer, L. J., Hendrie, G., Mahoney, R., Arbon, P., Ferguson, J., Sharpe, P., Mittinty, M., Haji Ali Afzali, H., Rathjen, J., Bierbaum, L., Sallows, G., Omodei-James, S., Dahia, S., Miller, C., Bonevski, B., & Ryder, C. (2025). Co-designing a public health data analytics platform. Nature Medicine, 31(12), 3952-3953. https://doi.org/10.1038/s41591-025-03806-4

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Otieno, L , Henderson, P, Khanna, S, Spurrier, N, Palmer, LJ, Hendrie, G, Mahoney, R, Arbon, P, Ferguson, J, Sharpe, P, Mittinty, M, Haji Ali Afzali, H, Rathjen, J, Bierbaum, L, Sallows, G, Omodei-James, S, Dahia, S, Miller, C, Bonevski, B & Ryder, C 2025, 'Co-designing a public health data analytics platform', Nature Medicine, vol. 31, no. 12, pp. 3952-3953. https://doi.org/10.1038/s41591-025-03806-4

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AU - Mahoney, R.

AU - Arbon, P.

AU - Ferguson, J.

AU - Sharpe, P.

AU - Mittinty, M.

AU - Haji Ali Afzali, H.

AU - Rathjen, J.

AU - Bierbaum, L.

AU - Sallows, G.

AU - Omodei-James, S.

AU - Dahia, S.

AU - Miller, C.

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Co-designing a public health data analytics platform

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