References
- Burkom, H. S., Y. Elbert, A. Feldman, and J. Lin. 2004. Role of data aggregation in biosurveillance detection strategies with applications from ESSENCE. Morbidity and Mortality Weekly Report 53 :67–73.
- Capizzi, G., and G. Masarotto. 2003. An adaptive exponentially weighted moving average control chart. Technometrics 45 (3):199–207. doi:10.1198/004017003000000023.
- Chakraborti, S., S. W. Human, and M. A. Graham. 2008. Phase I statistical process control charts: an overview and some results. Quality Engineering 21 (1):52–62. doi:10.1080/08982110802445561.
- Dekker, M., K. Van Donselaar, and P. Ouwehand. 2004. How to use aggregation and combined forecasting to improve seasonal demand forecasts. International Journal of Production Economics 90 (2):151–67. doi:10.1016/j.ijpe.2004.02.004.
- Dubrawski, A., and X. Zhang. 2010. The role of data aggregation in public health and food safety surveillance. Biosurveillance: Methods and Case Studies 161.
- Fricker, R. D., Jr., and H. S. Burkom. 2021. Data aggregation in disease surveillance. Journal of Quality Technology 53 (1):38–43. doi:10.1080/00224065.2019.1611360.
- Jin, B., A. Joshi, R. Sparks, S. Wan, C. Paris, and C. R. MacIntyre. 2020. Watch the flu: a tweet monitoring tool for epidemic intelligence of influenza in Australia. AAAI Conference on Artificial Intelligence (AAAI), New York, USA. doi:10.1609/aaai.v34i09.7095.
- Joshi, A., Dai, X., Karimi, S., Sparks, R., Paris, C., and MacIntyre, C. R. 2018, October. Shot or not: Comparison of NLP approaches for vaccination behaviour detection. In Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 43–47.
- Joshi, A., S. Karimi, R. Sparks, C. Paris, and C. R. MacIntyre. 2019. Does multi-task learning always help?: An evaluation on health informatics. Australasian Language Technology Association (ALTA) 2019, Sydney, Australia.
- Joshi, A., S. Karim, R. Sparks, C. Paris, and C. R. MacIntyre. 2019. A comparison of word-based and context-based representations for classification problems in health informatics. SIGBioMed Workshop on Biomedical Natural Language Processing (BioNLP) at ACL 2019, Florence, Italy.
- Joshi, A., R. Sparks, S. Karimi, C. Paris, and C. R. MacIntyre. 2019. Computational monitoring of tweets for early detection of the 2014 Ebola epidemic. Communicable Diseases Control Conference, Canberra.
- Iyer, A., A. Joshi, S. Karimi, R. Sparks, and C. Paris. 2019. Figurative usage detection of symptom words to improve personal health mention detection. Association for Computational Linguistics (ACL) Conference 2019, Florence, Italy.
- Rigby, R. A., and D. M. Stasinopoulos. 2005. Generalized additive models for location, scale and shape. Journal of the Royal Statistical Society: Series C (Applied Statistics) 54 (3):507–54. doi:10.1111/j.1467-9876.2005.00510.x.
- Sparks, R. S., and H. Hazrati-Marangaloo. 2020. Exponentially weighted moving averages of counting processes when the time between events is Weibull distributed. In Control Charts. IntechOpen Publications. doi:10.5772/intechopen.90873.
- Sparks, R. S. 2000. CUSUM charts for signalling varying location shifts. Journal of Quality Technology 32 (2):157–71. doi:10.1080/00224065.2000.11979987.
- Sparks, R. S. 2003. A group of moving averages control plan for signaling varying location shifts. Quality Engineering 15 (4):519–32. doi:10.1081/QEN-120018385.
- Sparks, R. S., B. Robinson, R. Power, M. Cameron, and S. Woolford. 2017. An investigation into social media syndromic monitoring. Communications in Statistics - Simulation and Computation 46 (8):5901–23. doi:10.1080/03610918.2016.1186182.
- Sparks, R., B. Jin, S. Karimi, C. Paris, and C. R. MacIntyre. 2019. Real-time monitoring of events applied to syndromic surveillance. Quality Engineering 31 (1):73–90. doi:10.1080/08982112.2018.1537443.
- Sparks, R., A. Joshi, C. Paris, S. Karimi, and C. R. MacIntyre. 2020. Monitoring events with application to syndromic surveillance using social media data. Engineering Reports 2 (5):1–23. doi:10.1002/eng2.12152.
- Woodall, W. H., and Montgomery, D. C. 2014. Some current directions in the theory and application of statistical process monitoring. Journal of Quality Technology 46 (1):78–94.
- Zwetsloot, I. M., and W. H. Woodall. 2021. A review of some sampling and aggregation strategies for basic statistical process monitoring. Journal of Quality Technology 53 (1):1–16. doi:10.1080/00224065.2019.1611354.