Epidemiology Informatics
Improving health and shared decision making with innovative use of data
The Epidemiology Informatics research group uses Victorian health-related data to ask questions about child and family health. Through this research, we aim to improve care and policies for children and families.
Our group includes clinicians, data experts and consumer engagement members who work with national and international partners to understand how we can best use data to improve health outcomes.
We work with hospitals, general practice, government, social media, young Victorians and many private organisations that are committed to using electronic information to improve health. Most of the information we work with is de-identified.
Our five research pillars are:
- Direct patient care
- Patient care processes
- Public health
- Population health and policy
- Consumer engagement
Our initial focus areas include childhood infections, vaccine safety, communicating about vaccines, and using social media to understand health issues.
We use advanced data visualisation plus statistical and machine learning techniques to understand massive amounts of health-related data in new and improved ways. Consumer insights and engagement are central to how we design and perform our research.
Our HealthYPulse program/approach uses social media to learn about young people’s health concerns. We gather information and data about these concerns and respond on social media platforms like TikTok. Then, we listened to see if these responses helped young people.
This new learning health system approach allows us to continually improve our services to young people.
Our group is also responsible for vaccine safety surveillance in Victoria. We use multiple innovative informatics approaches to ensure Victoria maintains the safest possible immunisation program. We are a proud member of the Global Vaccine Data Network and publish weekly public-facing vaccine safety reports.
Group Leaders
Group Members
Our projects
Vaccine Safety Research
Enhanced spontaneous surveillance via SAEFVIC
This project aims to establish data connections with key agencies across Victoria to enhance SAEFVIC spontaneous surveillance and strengthen infrastructure and processes to manage the increased volume of data, and several potential safety signals. This work has improved and innovated the collection of data to ensure that the side effects of any vaccine administered are acknowledged and investigated.
Monitoring Thrombosis with thrombocytopenia syndrome (TTS) after COVID-19 Vaccine
This project aims to quickly identify and investigate potential Thrombosis with thrombocytopenia (TTS) cases for rapid clinical review and referral to relevant state and federal health agencies. TTS, also known as vaccine-induced prothrombotic immune thrombocytopenia (VIPIT), is a rare and new syndrome reported in people who have received the COVID-19 vaccine. The syndrome is characterised by thrombosis, and thrombocytopenia and confirmed with a test that shows a positive reaction to PF4-heparin.
Victorian Vaccine Safety Datalink Project (VSHL)
Post-licensure Vaccine Safety Monitoring (PVSM) is critical to ensure the ongoing safety and acceptability of vaccines once they are being administered in the community as it involves larger numbers of people which can help identify possible rare side effects. This then contributes to informed consent for consumers.
The Vaccine Safety Datalink will allow near real-time detection of vaccine safety signals using a combination of health-related data sources from hospitals and general practitioners. The combination approach will capture more signals to improve the sensitivity and timeliness of signal detection, verification, and investigation.
The aim is to quickly connect immunisation, hospital and GP records to identify and confirm vaccine safety concerns, including both immediate and delayed adverse events of special interest (AEFI) This is to allow for streamlined integrated safety surveillance and rapid cycle analysis of pre-specified AEFI.
Evaluating the safety and effectiveness of COVID and influenza vaccines in residential aged care (COVIRAC)
Elderly residents cared for in residential aged care facilities (RACF) are at increased risk of morbidity and death from both influenza and SARS-CoV-2 infections, making them a high-priority group for receiving COVID-19 and influenza vaccines.
Published studies examining the effectiveness of the COVID-19 and influenza vaccines have predominantly included all age groups except the elderly.A similar approach has also been seen in studies examining vaccine safety of the influenza vaccine. Given the shortage of published evidence focusing on the elderly population, this study will examine vaccine safety and effectiveness of the COVID-19 and influenza vaccines in elderly residents cared for in RACFs.
The study will allow us to measure vaccine effectiveness in this population during the COVID-19 pandemic and over multiple influenza seasons long-term. We will also be able to measure vaccine safety in elderly residents who do receive the COVID-19 vaccine and/or the annual influenza vaccine.
Vaccine Surveillance using social media
This project aims to integrate social media into our current vaccine surveillance systems. Our main goal is to find mentions of vaccine adverse events in social media discussions to help us detect emerging adverse events following immunisation sooner.
Other goals of this project include analysing opinions on social media about vaccines to identify factors contributing to vaccine hesitancy. The project will use machines that understand and respond to text or voice data (natural language processing) to classify social media posts based on their semantic language structure.
Non-vaccine Safety Research
SNOTWATCH
This project looks at the similarity of location and times of events (also known as an is an ecological study of the geo-temporal relationships) between viral circulation and paediatric health outcomes including febrile seizures, asthma and Kawasaki disease. We aim to create a framework that helps us connect data from tests (like PCR) and hospital presentation data to figure out how viruses in our community might affect our health.
Funding
- Department of Health Victoria
- Medical Research Future Fund
- Global Vaccine Data Network
- Department of Jobs, Productivity and Research, Victoria
- Infection, Immunity and Global Health, Murdoch Children’s Research Institute
- GenV
Collaborations
- Outcome Health
- Global Vaccine Data Network
- LeeCare
- The University of Melbourne, Department of General Practice and Primary Care
- Cabrini Health
- Monash Health
- Melbourne Health
- Northern Health
- Australian Clinical Laboratories
- HealthDirect
- Department of Health Victoria
- Therapeutic Goods Administration
- WA Health
- Monash University
- Barwon Health
- Alfred Health
- Monash Partners
- Austin Health
- Department of Premier and Cabinet, Victoria
Featured publications
Sawires R, Kuldorff M, Fahey M, Clothier H, Buttery J. Snotwatch: an ecological analysis of the relationship between febrile seizures and respiratory virus activity. BMC Pediatr. 2022;22(1):359.
Khademi Habibabadi S, Delir Haghighi P, Burstein F, Buttery J. Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study. JMIR Med Inform. 2022;10(6):e34305.
Clothier HJ, Mesfin YM, Strange S, Buttery JP. Background rates of hospital transfer and death in Australian aged care facilities: estimates to assist interpretation of rates after COVID-19 vaccination. Med J Aust. 2021;215(4):180-1.
Buttery JP, Kirkwood C. Rotavirus vaccine implementation: evidence to fill the gap? Lancet Glob Health. 2021;9(7):e885-e6.
Mesfin YM, Cheng AC, Enticott J, Lawrie J, Buttery JP. Use of telephone helpline data for syndromic surveillance of adverse events following immunization in Australia: A retrospective study, 2009 to 2017. Vaccine. 2020;38(34):5525-31