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Early analysis of the Australian Covid-19 epidemic

As of 1 May 2020, there had been 6808 confirmed cases of COVID-19 in Australia. Of these, 98 had died from the disease. The epidemic had been in decline since mid-March, with 308 cases confirmed nationally since 14 April.

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

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.

Risk factors associated with unsuccessful tuberculosis treatment outcomes in Hunan Province, China

Globally, China has the third highest number of tuberculosis (TB) cases despite high rates (85.6%) of effective treatment coverage. Identifying risk factors associated with unsuccessful treatment outcomes is an important component of maximising the efficacy of TB control programmes.

Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria

Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.

Inequalities in excess premature mortality in England during the COVID-19 pandemic: A cross-sectional analysis of cumulative excess mortality by area deprivation and ethnicity

To examine magnitude of the impact of the COVID-19 pandemic on inequalities in premature mortality in England by deprivation and ethnicity.