The study showed that the infection control measures came at a critical point in successfully managing the COVID-19 pandemic in Australia.
The study showed that the infection control measures came at a critical point in successfully managing the COVID-19 pandemic in Australia. A data analytics study from the University of Sydney suggests the timing of COVID-19 restrictions in Australia stopped a significant growth in infections. The techniques used could help guide decision-making during the pandemic. The paper , from the University's NHMRC Clinical trials Centre, published in Epidemiology and Infection , shows social distancing measures and border closures during the initial stages of the COVID-19 pandemic coincided with a substantial reduction in new infections. The analysis techniques, originally used to estimate HIV incidence in the 1980s and 1990s, could help inform future infection control strategies, as the nation relaxes restrictions and watches for a potential 'second wave'. Additional analysis found a one-week delay in government action to flatten the infection curve, could have led to a five-fold increase in the total number of people infected. This would be 35,000 cases instead of the 7060 cases Australia currently has (as of 18th May 2020).
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