Search

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

Freya Shearer

Honorary Research Associate

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.

Introduction of Aedes aegypti mosquitoes carrying wAlbB Wolbachia sharply decreases dengue incidence in disease hotspots

Partial replacement of resident Aedes aegypti mosquitoes with introduced mosquitoes carrying certain strains of inherited Wolbachia symbionts can result in transmission blocking of dengue and other viruses of public health importance. Wolbachia strain wAlbB is an effective transmission blocker and stable at high temperatures, making it particularly suitable for hot tropical climates.

Comparison of new computational methods for spatial modelling of malaria

Geostatistical analysis of health data is increasingly used to model spatial variation in malaria prevalence, burden, and other metrics. Traditional inference methods for geostatistical modelling are notoriously computationally intensive, motivating the development of newer, approximate methods for geostatistical analysis or, more broadly, computational modelling of spatial processes.