Emerging epidemiology of invasive group a Streptococcus in tropical Australia: a 21-year population-based data linkage study
6 affiliations
- 1College of Medicine and Dentistry, James Cook University, Townsville, QLD Australia
- 2Menzies School of Health Research, Charles Darwin University, Northern Territory Darwin, Australia
- 3Public Health and Tropical Medicine, College of Medicine and Dentistry, James Cook University, Townsville, QLD Australia
- 4Centre for Business and Economics of Health, The University of Queensland, Brisbane, QLD Australia
- 5Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD Australia
- 6Burnet Institute, Melbourne, Victoria Australia
Abstract
Purpose: Invasive Group A Streptococcus (iGAS) is an important cause of severe bacterial infection with increasing incidence and substantial socioeconomic disparities. This study quantified long-term trends, spatial distribution, and determinants of iGAS incidence in Northern Queensland, Australia.
Methods: A population-based retrospective cohort study was conducted using linked hospital data linkage from 2000–2020. Incidence rates were calculated per 100,000 person-years and temporal trends were assessed. Spatial clustering was evaluated using Moran’s I statistic for spatial autocorrelation. Determinants of incidence were examined using a negative binomial generalized additive model (GAM).
Results: A total of 933 iGAS events were identified among 870 individuals. Incidence increased substantially over time, with the highest rates observed among older adults and a secondary peak among infants. Age-standardised incidence was approximately nine-fold higher among Indigenous compared with non-Indigenous populations for both males and females. Spatial analysis demonstrated significant clustering of incidence (Moran’s I = 0.19, p < 0.001), with the greatest burden occurring in remote and very remote regions. In multivariable analysis, Indigenous status (IRR = 8.97, p < 0.001) and male sex (IRR = 1.28, p < 0.001) were independently associated with higher incidence. Smooth terms showed significant nonlinear effects of age (edf = 7.45, p < 0.001) and calendar year (edf = 8.04, p < 0.001), indicating heterogeneous age patterns and temporal acceleration in incidence.
Conclusion: iGAS incidence in Northern Queensland increased markedly over two decades and was characterised by pronounced geographic and Indigenous health inequities, highlighting the need for targeted prevention strategies in high-risk populations and regions.
Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s15010-026-02904-w.
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BibTeX
@article{ratnayake2026emerging,
title = {{Emerging epidemiology of invasive group a Streptococcus in tropical Australia: a 21-year population-based data linkage study}},
author = {Himali Erandathie Ratnayake and Damon Eisen and Oyelola Adegboye and Anton Pak and Emma McBryde},
journal = {Infection},
year = {2026},
month = aug,
doi = {10.1007/s15010-026-02904-w},
url = {https://doi.org/10.1007/s15010-026-02904-w},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Emerging epidemiology of invasive group a Streptococcus in tropical Australia: a 21-year population-based data linkage study
AU - Himali Erandathie Ratnayake
AU - Damon Eisen
AU - Oyelola Adegboye
AU - Anton Pak
AU - Emma McBryde
PY - 2026
DA - 2026/08/25
JO - Infection
DO - 10.1007/s15010-026-02904-w
UR - https://doi.org/10.1007/s15010-026-02904-w
AB - Purpose: Invasive Group A Streptococcus (iGAS) is an important cause of severe bacterial infection with increasing incidence and substantial socioeconomic disparities. This study quantified long-term trends, spatial distribution, and determinants of iGAS incidence in Northern Queensland, Australia. Methods: A population-based retrospective cohort study was conducted using linked hospital data linkage from 2000–2020. Incidence rates were calculated per 100,000 person-years and temporal trends were assessed. Spatial clustering was evaluated using Moran’s I statistic for spatial autocorrelation. Determinants of incidence were examined using a negative binomial generalized additive model (GAM). Results: A total of 933 iGAS events were identified among 870 individuals. Incidence increased substantially over time, with the highest rates observed among older adults and a secondary peak among infants. Age-standardised incidence was approximately nine-fold higher among Indigenous compared with non-Indigenous populations for both males and females. Spatial analysis demonstrated significant clustering of incidence (Moran’s I = 0.19, p < 0.001), with the greatest burden occurring in remote and very remote regions. In multivariable analysis, Indigenous status (IRR = 8.97, p < 0.001) and male sex (IRR = 1.28, p < 0.001) were independently associated with higher incidence. Smooth terms showed significant nonlinear effects of age (edf = 7.45, p < 0.001) and calendar year (edf = 8.04, p < 0.001), indicating heterogeneous age patterns and temporal acceleration in incidence. Conclusion: iGAS incidence in Northern Queensland increased markedly over two decades and was characterised by pronounced geographic and Indigenous health inequities, highlighting the need for targeted prevention strategies in high-risk populations and regions. Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s15010-026-02904-w.
SN - 0300-8126
SN - 1439-0973
ER -