11. Aminath Shausan, Kamran Najeebullah, Teresa M Wozniak. Bayesian spatiotemporal mapping and forecasting of antimicrobial resistant infection with application to northern Australia. 2025, Submitted to Spatial and Spatiotemporal Epidemiology [Under Review]
10. Aminath Shausan, Adam G Dunn, Fiona J May, Satyamurthy Anuradha, Teresa M Wozniak, Amalie Dyda . Enhancing influenza surveillance in Australia using Google search data combined with machine learning . 2025, Submitted to Communicable Diseases Intelligence. [Under Review]
9. Teresa M Wozniak, Alyse Young, David Conlan, Aminath Shausan, Amalie Dyda, Benn Sartorius, Marcela Cespedes. Application of Bayesian spatial modelling to uncover geographical disparities and improve antimicrobial resistant surveillance. 2024. Submitted to PLoS Global Health. [Under Revision]
8. Teresa M Wozniak, Aminath Shausan, Michael J Leung, Sonali A Coulter, Shalinie Perera, Robert W Baird, Majella G Murphy. Antimicrobial resistance in northern Australia: The HOTspots surveillance and response program annual epidemiology report 2022. 2023, Submitted to Communicable Diseases Intelligence. [accepted for publication]
7. Aminath Shausan, and Aapeli Vuorinen. Thirty-six years of contributions to queueing systems: a content analysis, topic modelling, and graph-based exploration of research published in the QUESTA journal. Queueing Systems; 2023, 104; 3-18 [Published Version]
6. Aminath Shausan, Yoni Nazarathy, and Amalie Dyda. Emerging data inputs for infectious diseases surveillance and decision making. Frontiers in Digital Health, 2023; 5 [Published Version]
5. Ajay Hemanth Sampath Kumar, Aminath Shausan, Gianluca Demartini and Afshin Rahimi. Automatic Identification of 5C Vaccine Behaviour on Social Media. Proceedings of the 2022 COLING Workshop: The 8th Workshop on Noisy User-generated Text (W-NUT 2022). 2022, 136-146 [Published Version]
4 Azam Asanjarani, Aminath Shausan, Keng Chew, Thomas Graham, Shane G. Henderson, Hermanus M. Jansen, Kirsty R. Short, Peter G. Taylor, Aapeli Vuorinen, Yuvraj Yadav, IIze Ziedins, Yoni Nazarathy. Emulation of epidemics via Bluetooth-based virtual safe virus spread: experimental setup, software, and data. PLOS Digital Health; 2022, 1(12); e0000142 [Published Version]
3. Nicola L. Bragazzi1, Woldegebriel A. Woldegerima, Sarafa A. Iyaniwura, Qing Han, Aminath Shausan, Kingsley Badu, Patrick Okwen, Cheryl Prescod, Michelle Westin, Andrew Omame, Manlio Converti, Bruce Mellado, Jianhong Wu, Jude Kong. Knowing the unknown: the underestimation of monkeypox cases. Insights and implications from an integrative review of the literature, 2022. Frontiers in Microbiology, 2022, 13. [Published Version]
2. Nicola Luigi Bragazzi, Qing Han, Sarafa Adewale Iyaniwura, Andrew Omame, Aminath Shausan, Xiaoying Wang, Woldegebriel Assefa Woldegerima, Jianhong Wu, Jude Dzevela Kong. Adaptive changes in sexual behavior in the high-risk population in response to human monkeypox transmission in Canada can control the outbreak: insights from a two-group, two-route epidemic model. Journal of Medical Virology. [Published Version]
1. R. McVinish, P.K. Pollett, A. Shausan. Limiting the spread of disease through altered migration patterns. Journal of Theoretical Biology, 2016, 393, 60-66. [Published Version]
3. Ebby Thomas, Aminath Shausan, Hayden Klok, Yoni Nazarathy, Rahul Sharma. Towards Energy Profiling of Residential Customers Using Big Data. Submitted to Energy - The International Journal in July 2022. [Rejected]
2. Aminath Shausan, Christopher Drovandi, Kerrie Mengersen. Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. Submitted to PLoS Computational Biology (in 2020) and iScience (in 2022). [SSRN Preprint]. [Rejected]
1. Aminath Shausan, R. McVinish, P.K. Pollett. The Spread of an SIS epidemic on a human network. Submitted to Mathematical Biology Biology (in 2013). [Rejected]
Bayesian spatiotemporal mapping and forecasting antimicrobial resistance infection in northern Australia. Annual Australian e-Health Research Centre Colloquium 2025, Brisbane, Australia
Predicting risk of antimicrobial resistance (AMR) in northern Australia: A Bayesian spatiotemporal machine learning analysis using AMR surveillance data. Antimicrobials 2024, Sydney, Australia
Digital data sources and machine learning to enhance infectious disease surveillance in Australia. Communicable Diseases and Immunisation Conference, 2024, Brisbane, Australia
Projecting future climate impact on influenza infection in Australia. AI for Climate 2024, Melbourne, Australia
Using machine learning to predict antimicrobial resistance in northern Australia. The Convergence, 2023, Melbourne, Australia
Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. 5th Southern Cross Travel Medicine Conference (SCTMC) 2022, Brisbane Australia
Automatic Identification of 5C Vaccine Behaviour on Social Media. The International Conference on Computational Linguistics (COLING) 2022, Gyeongiu, Republic of Korea
Virtual disease prediction from Safe Blues. UQ-SPH Academic conference 2022, Brisbane, Australia
Emulation of epidemics via Bluetooth based virtual safe virus spread: experimental setup, and some insights from data. Queensland branch of Australian and New Zealand Industrial and Applied Mathematics (QANZIAM) 2021, Brisbane, Australia
Safe Blues: Emulation of epidemics via virtual safe virus-like tokens. UQ-AI Workshop Day, 2021, Brisbane, Australia. [second prize, poster]
Within-host dengue modeling. QUT-ACEMS Node planning day, Brisbane, Australia
Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. Bayes on the Beach (BoB) 2019, Gold Coast, Australia. [slides]
Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. Young Statistician Conference (YSC) 219, Canberra, Australia
Spread of an SIS epidemic on a network. Australia New Zealand Applied Probability Workshop (ANZAPW) 2013, Brisbane, Australia. [slides]
Spread of an SIS epidemic on a network. QANZIAM 2012, Sunshine Coast, Australia [best student talk prize, [slides]
Spread of an SIS epidemic on a network. Statistical Methods for Infectious Diseases (SMID) Conference. Milton Keynes, UK. [poster]
Grant Activities
7. Co-investigator for IDEAS grant 2025, with University of New South Wales leading. Improving early spatial epidemic intelligence for acute respiratory infections
6. Team member of One Health Unit CDC Tender 2025 (CSIRO internal grant) on modelling Avian influenza in Australia
5. Team member for One Health Digital Transformation Appropriation grant 2024 (CSIRO internal grant 2024 – 2027) on modelling syndromic surveillance of respiratory infections,
4. Advisor for DECRA grant 2024 with UQ leading. Developing artificial intelligence methods to integrate data sources for the prediction of infectious disease outbreaks in plants, animals, and humans
3. Co-investigator for two ACORN grants 2023 (CSIRO internal grant) on modelling the spread of antimicrobial resistance infections in hospitals, 2023
2. Co-investigator for IDEAS grant 2023 with UQ leading. Artificial intelligence combined with novel data sources and machine learning to improve public health responses to infectious diseases at mass gatherings
Team member of ARC Discovery Project grant 2022 with University of Melbourn leading. Safe Blues: Emulation of Epidemics via Bluetooth Transmission
Generating precise architectural building structure from LiDAR data (industry research project - Volting), 2022. With Aditya Anchan
Analysis of Covid-19 episodes (academic research project – AI4PAN), 2022. With Thomas Graham
Predicting vaccination behaviour from Twitter data (academic research project – AI4PAN), 2022. With Ajay Hemanth Kumar
The use of Twitter data to investigate public perceptions of Covid-19 vaccination in Australia (undergraduate research project - ID-NET), 2022. With Dorothy Claire Espinosa
Digital health initiative for intimate partner violence (IPV) among youth on social media: a narrative review & descriptive study (academic research project – ID-NET), 2022. With Alexa Dakiniewich
Safe Blues data visualisation dashboard, 2021. With Yuvraj Yadav
Reviewer of two Biostatistics masters and PhD thesis for UQ, 2024-current
Journal reviewer - PLoS Digital Health and Frontiers in Digital Health, 2022 - current
Associate fellow of UQ, 2023 - current
Member of the Australian Society for Antimicrobials (2024 - current) and Statistical Society for Australia (2019 - 2022)
Coordinator and hosts of the AI4PAN seminar series at UQ. See YouTube channel of the talks
School outreach presentation: Mathematical modeling and virtual epidemics. Brisbane State High, 2022, Brisbane, Australia
Podcast: The Random Sample: Episode 59 (Experiment in Lockdown), 2021; with Prof. Peter Taylor and Dr Azam Asanjarani
Conference organization: UQ-SPH Academic conference 2022, BoB 2019, MODSIM 2013
Conference volunteering: SCTMC 2022, ANZAPW 2013
Workshop initiator, developer and presenter of the BRAG Stan workshop, 2019, QUT, Australia
Game initiator, and presenter: The Big Bite - Mosquito Virality Game. QUT, 2019, Australia
Journal reviewer: Patterns, Frontiers, Epidemiology and Infection
School outreach presentation: The Big Bite - Mosquito Virality Game. Ironside State School, 2019, Brisbane Australia