Victoria was greatly affected by COVID lockdowns and restrictions due to an outbreak of cases however the Government was receiving delayed information on case numbers which resulted in the inability to make real time decisions and keep the public up to date with an accurate status of COVID in Victoria.
Delayed reporting and low awareness of risk were two key challenges that Department of Health engaged ARQ to help solve.
Summary of the challenge focus areas;
ARQ understood the need to automate the reporting, reducing time, cost, and the possibility of errors. This automation is particularly important in delivering fast and reliable reports in critical situations, such as the COVID-19 pandemic.
Transmission Risk Analysis
ARQ incorporated the use of mathematical models to evaluate the transmission risk of COVID-19 across Victorian suburbs, an important tool in assisting authorities to make informed decisions. The department has developed an agent-based risk analysis model, which predicts a risk score for each postcode and LGA in Victoria for the upcoming week. However, due to the complexity of the COVID-19 transmission process, obtaining good performance from this model is challenging, which requires more sophisticated techniques, such as machine learning that ARQ was able to assist with.