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Survivors of drug-resistant TB face long-term health problems: study

New research highlights the long-term physical health problems faced by people who survive drug-resistant tuberculosis (TB) .

WA’s Omicron wave on a downward trajectory, despite new variants

Sophisticated modelling produced is predicting a steady decline in COVID-19 cases in WA throughout August, but hospitalisation rates will remain relatively high.

Endemic country capacity building and decentralization

Adam Punam Susan Saddler Amratia Rumisha PhD PhD PhD (Biostatistics) Senior Research Officer Honorary Research Associate Honorary Research Associate

Geospatial modelling for malaria risk stratification and intervention targeting for high burden high impact countries

Punam Susan Tasmin Amratia Rumisha Symons PhD PhD (Biostatistics) Honorary Research Associate Honorary Research Associate Honorary Research Associate

Geospatial modelling for malaria risk stratification and intervention targeting for low-endemic countries

Punam Susan Tasmin Amratia Rumisha Symons PhD PhD (Biostatistics) Honorary Research Associate Honorary Research Associate Honorary Research Associate

Modelling the COVID pandemic with the Geographical COVID-19 Model (GEO-COV)

Researchers have developed a new model for simulating covid-19 outbreaks in Western Australia. 

Tracking global intervention coverage

Adam Dan Saddler Weiss PhD PhD Senior Research Officer Honorary Research Fellow Daniel.Weiss@thekids.org.au Senior Research Officer Honorary

Western Australian adolescent emotional wellbeing during the COVID-19 pandemic in 2020

The impacts of the COVID-19 pandemic have been vast and are not limited to physical health. Many adolescents have experienced disruptions to daily life, including changes in their school routine and family’s financial or emotional security, potentially impacting their emotional wellbeing.

A fractional land use change model for ecological applications

By mapping land use under projections of socio-economic change, ecological changes can be predicted to inform conservation decision-making. We present a land use model that enables the fine-scale mapping of land use change under future scenarios. Its predictions can be used as input to virtually all existing spatially-explicit ecological models.