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- Aswi Aswi
Mrs Aswi Aswi
PhD Student
Queensland University of Technology
I am a permanent lecturer at the Mathematics and Statistics Department, the State University of Makassar, South Sulawesi, Indonesia (2003-date). I have taught at an undergraduate level several subjects related to Mathematics and Statistics. I was a consultant at data unit analysis of the Mathematics Department from 2009 to 2011. From 2011 to 2013, I was a secretary of data unit analysis at the same department. I graduated as a professional lecture in August 2011 in Indonesia. I pursued my doctoral degree at Queensland University of Technology (QUT) in July 2016 and achieved recognition as an Associate Fellow of The Higher Education Academy (AFHEA), UK in August 2019. My focus is on developing and applying Bayesian spatio-temporal models for dengue fever in Makassar, Indonesia. During this time, I have published 6 Statistics text books (Indonesian version).
Research Interests:
Bayesian
Spatial and spatio-temporal
Survival analysis
Time Series Analysis
Qualifications:
- Master of Science in Statistics, Sepuluh November Institute of Technology, Indonesia
- Bachelor of Education in Mathematics Education, State University of Makassar, Indonesia
Projects
Publications
Invited talks, refereed proceedings and other conference outputs
Aswi, A.., Cramb S., Hu W., White G., & Mengersen KL.
(2019). Temporal Modeling of Dengue Fever: A Comprehensive Literature Review.
3rd International Conference on Mathematics, Sciences, Technology, Education and their application (ICSMTEA) in Conjunction with 1st International Symposium on Green Materials & Technology (ISGMT).. 967, 15-21. doi: 10.4028/www.scientific.net/MSF.967.15
Aswi, A.., Cramb S., Hu W., White G., & Mengersen KL.
(2019). Bayesian spatio-temporal conditional autoregressive localised model.
ACEMS Retreat 2019.
Aswi, A.., Cramb S., Hu W., White G., & Mengersen KL.
(2019). Evaluating the interplay between clusters, climatic covariates and spatial priors in spatio-temporal modelling of dengue in Makassar, Indonesia.
Bayes on the Beach 2019.
Aswi, A.., Cramb S., Hu W., White G., & Mengersen KL.
(2018). Bayesian spatio-temporal models using R-INLA.
ACEMS Retreat 2018.
Aswi, A.., Cramb S., Hu W., White G., & Mengersen KL.
(2018). Comparison of different Bayesian spatio-temporal models using R packages.
UseR! .
Aswi, A.., Cramb S., Hu W., White G., & Mengersen KL.
(2018). Temporal modelling of dengue fever: A comprehensive literature review.
3rd International Conference on Mathematics, Sciences, Technology, Education and their application (ICSMTEA) in Conjunction with 1st International Symposium on Green Materials & Technology (ISGMT).
Aswi, A.., Cramb S., Hu W., White G., & Mengersen KL.
(2018). The impact of covariates on the grouping structure of a Bayesian spatio-temporal localised model.
Australasian Applied Statistics Conference 2018.
Aswi, A.., Mengersen KL., Cramb S., Hu W., & White G.
(2018). Comparing Spatio-Temporal models using CARBayes: An application to dengue fever in Makassar, Indonesia.
The joint international society for clinical Biostatistics and Australian Statistical Conference 2018.
Aswi, A.., Cramb S., Duncan E., & Mengersen KL.
(2017). Bayesian spatial estimation when areas are few.
The international Biometric Society Australasian Region conference.
Aswi, A.., Cramb S., Duncan E., & Mengersen KL.
(2017). Evaluating the impact of small number of areas on spatial estimation.
The Young Statistician Conference (YSC).
Journal Articles
Aswi, A.., Cramb S., Duncan E., Hu W., White G., & Mengersen KL.
(2020). Bayesian spatial survival models for hospitalisation of dengue: A case study of Wahidin hospital in Makassar, Indonesia.
International Journal of Environmental Research and Public Health. 17(3), 878. doi: 10.3390/ijerph17030878
Aswi, A.., Cramb S., Duncan EW., & K M.
(2020). Evaluating the impact of a small number of areas on spatial estimation.
International Journal of Health Geographics . 19(1), 39. doi: 10.1186/s12942-020-00233-1
Aswi, A.., Cramb S., Duncan E., Hu W., White G., & Mengersen KL.
(2020). Climate variability and dengue fever in Makassar, Indonesia: Bayesian spatio-temporal modelling.
Spatial and Spatio-temporal Epidemiology. 33, 100335. doi: 10.1016/j.sste.2020.100335
Aswi, A.., Cramb S., Moraga P., & Mengersen KL.
(2019). Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review.
Epidemiology & Infection. 147, e33. doi: 10.1017/S0950268818002807
Research links
