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Biostatistician, Infectious Disease Implementation Research

Biostatistician, Infectious Disease Implementation Research

Infectious Disease Ecology and Modelling

The Infectious Disease Ecology and Modelling team led by Professor Nick Golding, combines mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases. The team uses modelling and maps to measure the risk posed by some of the world’s most important and neglected diseases – including malaria, Japanese Encephalitis and COVID-19 – and provide rapid modelling analyses to policy makers.

Containing Coronavirus Disease 19 (ConCorD-19)

Chile has been hard hit by COVID-19, at times reporting around 6500 new cases a day, with many of these located in the capital Santiago.

How ‘healthy’ do children really need to be? Going beyond the limits

The authors assessed the impact of including preschool‐aged children with a history of preterm birth, early life wheeze, asthma diagnoses and/or recent respiratory symptoms in healthy reference ranges for respiratory impedance using the forced oscillation technique (FOT).

Young adult reflections on life experiences following preterm birth: a cross-sectional descriptive study

Increasingly, preterm-born children are entering adulthood as survival at earlier gestational ages improves. However, there is little understanding of the lived experience in preterm-born adults.

Early versus late parenteral nutrition in term and late preterm infants: A randomised controlled trial

There is limited evidence regarding the optimal time to commence parenteral nutrition in term and late preterm infants. 

Neonatal Docosahexaenoic Acid in Preterm Infants and Intelligence at 5 Years

Docosahexaenoic acid (DHA) is a component of neural tissue. Because its accretion into the brain is greatest during the final trimester of pregnancy, infants born before 29 weeks' gestation do not receive the normal supply of DHA. The effect of this deficiency on subsequent cognitive development is not well understood.

Gestational age as a predictor for subsequent preterm birth in New South Wales, Australia

There is no validated evidence base on predictive ability and absolute risk of preterm birth by gestational age of the previous pregnancy. We conducted a retrospective cohort study of mothers who gave birth to their first two children in New South Wales, 1994-2016. For each week of final gestational age of the first birth, we calculated relative and absolute risks of subsequent preterm birth.

Use of parenteral nutrition in term and late preterm infants: An Australian and New Zealand Survey

There is limited information regarding the use of parenteral nutrition (PN) in term and late preterm infants. We conducted a survey to study the current clinical practices within Australia and New Zealand (ANZ). A 15-question online-survey was distributed to 232 neonatologists and 55 paediatric intensivists across ANZ between September and November 2019.