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Research

Chest imaging in cystic fibrosis studies: What counts, and can be counted?

The aim of this study is to characterize the role of currently available CT and MRI markers in clinical studies, and to discuss challenges with CF studies.

Research

Air pollution during pregnancy and lung development in the child

Air pollution exposure has increased in recent years and there is evidence that exposure to particulate matter can lead to adverse respiratory outcomes.

Research

Adolescent perceptions of bystanders’ responses to cyberbullying

This study explored the perceptions of, and key influences on, adolescent bystanders who witness cyberbullying

Research

Impacts of caring for a child with the CDKL5 disorder on parental wellbeing and family quality of life

Investigate impacts on maternal health and family quality of life in families with a child with the CDKL5 disorder

Research

Transition to adulthood for young people with intellectual disability: the experiences of their families

A number of themes emerged from the qualitative data which included parents' views and concerns about the capacity of their young adult to adapt and change to life in adulthood

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Childhood Overweight and Obesity: Maternal and Family Factors

The need to target prevention and intervention efforts for childhood overweight and obesity towards families with overweight parents

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The establishment of DOHaD working groups in Australia and New Zealand

This report introduces the DOHaD ANZ Working Groups and summarizes their plans and activities

Research

Dysfunctional gut microbiome networks in childhood ige‐mediated food allergy

The development of food allergy has been reported to be related with the changes in the gut microbiome, however the specific microbe associated with the pathogenesis of food allergy remains elusive. This study aimed to comprehensively characterize the gut microbiome and identify individual or group gut microbes relating to food-allergy using 16S rRNA gene sequencing with network analysis.

Research

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings

Developing new methods for modelling infectious diseases outbreaks is important for monitoring transmission and developing policy. In this paper we propose using semi-mechanistic Hawkes Processes for modelling malaria transmission in near-elimination settings. Hawkes Processes are well founded mathematical methods that enable us to combine the benefits of both statistical and mechanistic models to recreate and forecast disease transmission beyond just malaria outbreak scenarios.