By Dr Guy Barrington Marks

Preprints

Cowie C; Hanigan I; Yu W; Yuen C; Gopi K; Morgan GG; Borchers Arriagada N; Heyworth J; Cope M; Morawska L; Jalaludin B; Marks GB; Guo Y; Knibbs LD, 2025, Comparison of High Spatial Resolution Pm2.5, Pm10 Andno2 Estimates for Epidemiological Studies Using a Deep Ensemble Machine Learning Framework When There are Sparse Monitoring Data, http://dx.doi.org/10.2139/ssrn.5128392

Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw S-T; Celler BG; Marks GB, 2024, Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review (Preprint), http://dx.doi.org/10.2196/preprints.69068

Scandurra GM; Ampon R; Martin B; Marais B; Marks GB, 2024, A Data-Driven Approach to Tuberculosis Screening of Migrants Entering Australia, http://dx.doi.org/10.2139/ssrn.4947412

Nguyen BH; Dang TTH; Hoang DT; Do TT; Dinh LV; Nguyen VN; Vu DH; Drabarek D; Nguyen TNB; Vu D; Nguyen TA; Marks G; Negin J; Fox G; Bernays S; Yapa M, 2024, An mHealth technology to strengthen adverse event management of Multi-Drug Resistant Tuberculosis in Vietnam: Protocol for a process evaluation of the V-SMART trial, http://dx.doi.org/10.21203/rs.3.rs-4295996/v1

Hanigan I; Yu W; Yuen C; Gopi K; Knibbs LD; Cowie C; Jalaludin B; Cope M; Riley ML; Heyworth J; Morawska L; Marks GB; Morgan GG; Guo Y, 2024, Deep Ensemble Machine Learning with Bayesian Blending Improved Accuracy and Precision of Modelled Ground-Level Ozone for Region with Sparse Monitoring: Australia, 2005-2018, http://dx.doi.org/10.2139/ssrn.4988879

Schwalb A; Horton K; Emery J; Harker M; Goscé L; Veeken L; Garden F; Viet Nguyen H; Nguyen T-A; Luu Boi K; Cobelens F; Fox G; Luong DV; Nguyen HB; Marks G; Houben RMGJ, 2024, Potential impact, costs, and benefits of population-wide screening interventions for tuberculosis in Viet Nam: a mathematical modelling study, http://dx.doi.org/10.1101/2024.12.30.24319770

Landry S; Jamriska M; Menon VJ; Lee LYY; Magnin-Bougma I; Subedi D; Barr J; Monty J; Kevin K; Gunatilaka A; Delaire M; Marks G; Stewardson A; Morawska L; Edwards B; Subbarao K; Joosten S, 2024, Ultraviolet Radiation vs Air Filtration to Mitigate Virus Laden Aerosol in an Occupied Clinical Room, http://dx.doi.org/10.2139/ssrn.4997160

Hansun S; Argha A; Liaw S-T; Celler BG; Marks GB, 2022, Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review (Preprint), http://dx.doi.org/10.2196/preprints.43154

Kik S; Gelaw S; Ruhwald M; Song R; Khan FA; van Hest R; Chihota V; Nhung NV; Esmail A; Celina Garfin AM; Marks G; Gorbacheva O; Akkerman O; Moropane K; Ngoc Anh LT; Dheda K; Fox G; Marano N; Lönnroth K; Cobelens F; Benedetti A; Dewan P; Ongarello S; Denkinger C, 2022, Diagnostic accuracy of chest X-ray interpretation for tuberculosis by three artificial intelligence-based software in a screening use-case: an individual patient meta-analysis of global data, http://dx.doi.org/10.1101/2022.01.24.22269730

Emery J; Dodd P; Banu S; Frascella B; Garden F; Horton K; Hossain S; Law I; van Leth F; Marks G; Nguyen HB; Nguyen HV; Onozaki I; Quelapio MI; Richards A; Shaikh N; Tiemersma E; White R; Zaman K; Cobelens F; Houben RMGJ, 2022, Estimating the contribution of subclinical tuberculosis disease to transmission – an individual patient data analysis from prevalence surveys, http://dx.doi.org/10.1101/2022.06.09.22276188

Mascaro S; Wu Y; Woodberry O; Nyberg E; Pearson R; Ramsay J; Mace A; Foley D; Snelling T; Nicholson A; COVID BN Advisory Group , 2022, Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts, http://dx.doi.org/10.1101/2022.02.14.22270925

van Boven JFM; Lucas S; Parker G; Kaplan A; Trofor A; Bonevski B; Kirenga B; Ryan D; Pizzichini E; van Ganse E; Huang EW-C; Brakema E; Gould G; Kocks J; Alison J; Quint J; Soriano J; Hurst J; Siddiqi K; Boydell K; Miravitlles M; Flores-Valdez MA; Kasteleyn M; FitzGerald M; Boeckmann M; Chaiton M; Rodriguez MR; Kulkarni M; Roche N; Chavannes N; Papadopoulos N; Behrakis P; Dennis S; Bassi S; Williams S; Maher T; Siddharthan T; Kamath V; Verhamme KMC, 2021, Towards Optimum Reporting of Pulmonary Effectiveness Databases and Outcomes (TORPEDO): identifying a core dataset for asthma and COPD studies, http://dx.doi.org/10.1101/2021.10.14.21264843

Lung T; Marks GB; Nhung NV; Anh NT; Hoa NLP; Anh LTN; Hoa NB; Britton WJ; Bestrashniy J; Jan S; Fox GJ, Cost-Effectiveness of Household Contact Investigation for the Detection of Tuberculosis in Vietnam: A Cluster Randomised Controlled Trial, http://dx.doi.org/10.2139/ssrn.3205748

Maggi F; Tang FHM; Black AJ; Marks GB; McBratney A, The Global Burden of Exposure to Pesticide Mixtures, http://dx.doi.org/10.2139/ssrn.3684494

My DNT; Van LT; Linh THK; Tuyen NP; Phuong NT; Thu Anh N; Lan NPH; Ngoc NTB; Fisher MC; Rhodes J; Marks GB; Fox GJ; Chen SC-A; Walsh MG; Barrs VR; Talbot J; Halliday CL; Sorrell TC; Day JN; Beardsley J, Unprecedented Prevalence of Azole-Resistant <i>Aspergillus fumigatus</i> Identified in the Environment of Vietnam, with Marked Variability by Land Use Type, http://dx.doi.org/10.2139/ssrn.3692480

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