Spatiotemporal patterns and association with climate for malaria elimination in Lao PDR: a hierarchical modelling analysis with two-step Bayesian model selection
Rotejanaprasert C. et al, (2024), Malaria Journal, 23
Correction: Malaria epidemiology, surveillance and response for elimination in Lao PDR
Rotejanaprasert C. et al, (2024), Infectious Diseases of Poverty, 13
Malaria epidemiology, surveillance and response for elimination in Lao PDR
Rotejanaprasert C. et al, (2024), Infectious Diseases of Poverty, 13
Investigating the spatiotemporal patterns and clustering of attendances for mental health services to inform policy and resource allocation in Thailand
Rotejanaprasert C. et al, (2024), International Journal of Mental Health Systems, 18
Correction: ‘Evaluation of Kato-Katz and multiplex quantitative polymerase chain reaction performance for clinical helminth infections in Thailand using a latent class analysis’ (2023), by Rotejanaprasert et al.
Rotejanaprasert C. et al, (2024), Philosophical Transactions of the Royal Society B: Biological Sciences, 379
Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in Thailand
Rotejanaprasert C. et al, (2024), BMC Medical Research Methodology, 24
Two-step spatiotemporal anomaly detection corrected for lag reporting time with application to real-time dengue surveillance in Thailand
Rotejanaprasert C. et al, (2024), BMC Medical Research Methodology, 24
Evaluation of Kato-Katz and multiplex quantitative polymerase chain reaction performance for clinical helminth infections in Thailand using a latent class analysis.
Rotejanaprasert C. et al, (2023), Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 378
Dengue in Myanmar: Spatiotemporal epidemiology, association with climate and short-term prediction
Zaw W. et al, (2023), PLOS Neglected Tropical Diseases, 17, e0011331 - e0011331
Projecting malaria elimination in Thailand using Bayesian hierarchical spatiotemporal models.
Rotejanaprasert C. et al, (2023), Scientific reports, 13
Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data
Rotejanaprasert C. et al, (2023), BMC Medical Research Methodology, 23
Bayesian Spatio-Temporal Prediction and Counterfactual Generation: An Application in Non-Pharmaceutical Interventions in COVID-19.
Lawson A. and Rotejanaprasert C., (2023), Viruses, 15
Forest malaria and prospects for anti-malarial chemoprophylaxis among forest goers: findings from a qualitative study in Thailand
Jongdeepaisal M. et al, (2022), Malaria Journal, 21
Drug resistance of Plasmodium falciparum and Plasmodium vivax isolates in Indonesia.
Rahmasari FV. et al, (2022), Malaria journal, 21
Hydroxyapatite-binding Silver/Titanium Dioxide as a Potential Control Compound Against Mosquito Vectors, Aedes aegypti (Diptera: Culicidae) and Anopheles dirus (Diptera: Culicidae).
Srisawat R. et al, (2022), Journal of medical entomology
Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020
Chinpong K. et al, (2022), Biology, 11, 755 - 755
Helminth Infections in Cattle and Goats in Kanchanaburi, Thailand, with Focus on Strongyle Nematode Infections.
Income N. et al, (2021), Veterinary sciences, 8
Bayesian spatio-temporal distributed lag modeling for delayed climatic effects on sparse malaria incidence data
Rotejanaprasert C. et al, (2021), BMC Medical Research Methodology, 21
Spatiotemporal distributed lag modelling of multiple Plasmodium species in a malaria elimination setting
Rotejanaprasert C. et al, (2021), Statistical Methods in Medical Research, 30, 22 - 34