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COVID-19 (C19) has been destroying the world's health and emergency response system for almost the past year. Policymakers and health practitioners are trying their best to save the public through various policy development and initiatives in this regard. This study aims to examine the containment measures and their impacts on Australia's C19 situation in Australia's COVIDsafe app background.

This study investigates the role of the Australian Government's (AG) Health Containment (HC) and Stringency response (SR) in combating the C19 situation in Australia. The time horizon has been taken from January to October 2020 and applied Linear Regression with graphical demonstration analysis by STATA-18 version and MS Word chart features.

By applying linear regression and graphical demonstration, statistics revealed that AG made various policy developments during the C19 pandemic. However, due to inconsistent and unsustainable measures, the second C19 wave hit Australia much harder than the first wave. COVIDsafe app has been a vital AG in this regard; however, it did not show its progress during the second wave due to privacy issues. After the more focused and aggressive research and development measures, AG overcame the App drawbacks and controlled the situation, demonstrating 92% recovered statistics from C19.

The study concludes that AG should enforce many prudent policy measures and distinct E-government features in the COVIDsafe app and make it secure so people will use it in probable forthcoming C19 waves.

This study has examined the Government of Australia's containment measures in the background discussion of the COVIDsafe app.

E-government development (EGD) is vital in enhancing the institutional quality and sustainable public service (SPS) delivery by eradicating corruption and cybersecurity crimes.

The present study applied econometric fixed-effect (FE) regression analysis and random forest (RF) algorithm through machine learning for comprehensive estimations in achieving SPS. This study gauges the nexus between the EGD as an independent variable and public service sustainability (PSS) as a proxy of public health services as a dependent variable in the presence of two moderators, corruption and cybersecurity indices from 47 Asian countries economies from 2015 to 2019.

The computational estimation and econometric findings show that EGD quality has improved with time in Asia and substantially promoted PSS. It further explores that exercising corruption control measures and introducing sound cybersecurity initiatives enhance PSS's quality and support the EDG effect much better.

The study concludes that E-Government has positively impacted PSS (healthcare) in Asia while controlling cybersecurity and institutional malfunctioning made an E-Government system healthier and SPS development in Asia.

This study added a novel contribution to existing E-Government and public services literature by comprehensively applied FE regression and RF algorithm analysis. Moreover, E-Government and cybersecurity improvement also has taken under consideration for PSS in Asian economies.