Chancellery Research - Research Publications

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Start date: 2021 × End date: 2021 × Author: Pillai, Priyanka ×

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    Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality.
    Dyda, A ; Purcell, M ; Curtis, S ; Field, E ; Pillai, P ; Ricardo, K ; Weng, H ; Moore, JC ; Hewett, M ; Williams, G ; Lau, CL (Elsevier BV, 2021-12-10)
    Coronavirus disease 2019 (COVID-19) has highlighted the need for the timely collection and sharing of public health data. It is important that data sharing is balanced with protecting confidentiality. Here we discuss an innovative mechanism to protect health data, called differential privacy. Differential privacy is a mathematically rigorous definition of privacy that aims to protect against all possible adversaries. In layperson's terms, statistical noise is applied to the data so that overall patterns can be described, but data on individuals are unlikely to be extracted. One of the first use cases for health data in Australia is the development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), which provides proof of concept for the use of this technology in the health sector. If successful, this will benefit future sharing of public health data.
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    Epidemiology and omics – challenges and policy implications
    Pillai, P ( 2021-04-23)
    Presented at the Organisation for Economic Co-operation and Development (OECD) Open Science Forum
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    Development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia.
    Field, E ; Dyda, A ; Hewett, M ; Weng, H ; Shi, J ; Curtis, S ; Law, C ; McHugh, L ; Sheel, M ; Moore, J ; Furuya-Kanamori, L ; Pillai, P ; Konings, P ; Purcell, M ; Stocks, N ; Williams, G ; Lau, CL (Frontiers Media SA, 2021)
    Accurate and current information has been highlighted across the globe as a critical requirement for the COVID-19 pandemic response. To address this need, many interactive dashboards providing a range of different information about COVID-19 have been developed. A similar tool in Australia containing current information about COVID-19 could assist general practitioners and public health responders in their pandemic response efforts. The COVID-19 Real-time Information System for Preparedness and Epidemic Response (CRISPER) has been developed to provide accurate and spatially explicit real-time information for COVID-19 cases, deaths, testing and contact tracing locations in Australia. Developed based on feedback from key users and stakeholders, the system comprises three main components: (1) a data engine; (2) data visualization and interactive mapping tools; and (3) an automated alert system. This system provides integrated data from multiple sources in one platform which optimizes information sharing with public health responders, primary health care practitioners and the general public.
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    How Do Data Bolster Pandemic Preparedness and Response? How Do We Improve Data and Systems to Be Better Prepared?
    Pillai, P (CELL PRESS, 2021-01-08)
    How are data driving the response for the ongoing COVID-19 pandemic? How do data support preparedness toward epidemics and pandemics? How do data inform the potential severity and spread of an outbreak? Past infectious disease outbreaks have demonstrated several challenges associated with rapid aggregation, integration, and sharing of data to inform a response during an outbreak. The ongoing pandemic response has demonstrated the value of timely data collection and sharing and the usage of data for decision-making.