October report for Data Analysis for Population Health Hub

2 October 2019

Keynote and invited presentations

Alice Richardson was invited to present to the Biological Data Science Institute Interactive Seminar series on Monday 16 September. Her talk was titled “Where population health and biological data science meet”.

Other conference presentations

Richardson AM, Lal A, Joseph C, Webster R, Phillips B. A spatially-explicit microsimulation analysis of the proposed sugar tax on population health in the ACT. Presentation at Applied Statistics and Policy Conference, Charles Sturt University, Wagga Wagga, 5 – 6 September 2019.

Media releases/interest

ABC Southern Queensland, 14 September 2019, reported “Flying doctors hit a record as grey nomads get into 'all sorts of trouble'.” http://www.abc.net.au/news/2019-09-14/outback-grey-nomads-rfds-busy-queensland/11478538. Based on the Gardiner et al. paper below.

Gardiner, F.W., Richardson, A.M., Bishops, L., Harwood, A., Gale, L., Teoh, N., Lucas, R.M. and Laverty, M. (2019).  Health care for older people in rural and remote Australia: challenges for service provision. Medical Journal of Australia accepted 19 June 2019. DOI https://doi.org/10.5694/mja2.50277.

Canberra Times, 7 September 2019, reported “Sugar tax harder on Canberra's poor than the rich: ANU research”. https://www.canberratimes.com.au/story/6371575/sugar-tax-harder-on-canberras-poor-than-the-rich/?cs=14225&fbclid=IwAR1YEEizaUl0K_juyXPC55ZeUb7zVWKAfUm-UMURmGNQrRfLSZKX2drz4W8. Based on the ASPAC conference presentation above.

Student news

In November Nidhi Menon will commence a 0.4 FTE position as a Data Scientist / Biostatistician in the Biological Data Science Institute.

Papers accepted/published:

Zhao, Y, Richardson, A, Poyser, C et al 2019, 'Shift work and mental health: a systematic review and meta-analysis', International Archives of Occupational and Environ, vol. Online, pp. 1-31.

Menon, N., Binukumar, B. and Richardson, A.M. (2019). Effect of modelling a multilevel structure on the Indian population to identify the factors influencing HIV infection. Accepted by Biostatistics and Epidemiology 18 September 2019.