TY - JOUR
T1 - Opportunities to strengthen respiratory virus surveillance systems in Australia
T2 - lessons learned from the COVID-19 response
AU - Shearer, Freya M.
AU - Edwards, Laura
AU - Kirk, Martyn
AU - Eales, Oliver
AU - Golding, Nick
AU - Hassall, Jenna
AU - Liu, Bette
AU - Lydeamore, Michael
AU - Miller, Caroline
AU - Moss, Robert
AU - Price, David J.
AU - Ryan, Gerard E.
AU - Sullivan, Sheena
AU - Tobin, Ruarai
AU - Ward, Kate
AU - Kaldor, John
AU - Cheng, Allen C.
AU - Wood, James
AU - McCaw, James M.
N1 - Publisher Copyright:
© Commonwealth of Australia CC BY-NC-ND.
PY - 2024
Y1 - 2024
N2 - Abstract: Disease surveillance data was critical in supporting public health decisions throughout the coronavirus disease 2019 (COVID-19) pandemic. At the same time, the unprecedented circumstances of the pandemic revealed many shortcomings of surveillance systems for viral respiratory pathogens. Strengthening of surveillance systems was identified as a priority for the recently established Australian Centre for Disease Control, which represents a critical opportunity to review pre-pandemic and pandemic surveillance practices, and to decide on future priorities, during both pandemic and inter-pandemic periods. On 20 October 2022, we ran a workshop with experts from the academic and government sectors who had contributed to the COVID-19 response in Australia on 'The role of surveillance in epidemic response', at the University of New South Wales, Sydney, Australia. Following the workshop, we developed five recommendations to strengthen respiratory virus surveillance systems in Australia, which we present here. Our recommendations are not intended to be exhaustive. We instead chose to focus on data types that are highly valuable yet typically overlooked by surveillance planners. Three of the recommendations focus on data collection activities that support the monitoring and prediction of disease impact and the effectiveness of interventions (what to measure) and two focus on surveillance methods and capabilities (how to measure). Implementation of our recommendations would enable more robust, timely, and impactful epidemic analysis.
AB - Abstract: Disease surveillance data was critical in supporting public health decisions throughout the coronavirus disease 2019 (COVID-19) pandemic. At the same time, the unprecedented circumstances of the pandemic revealed many shortcomings of surveillance systems for viral respiratory pathogens. Strengthening of surveillance systems was identified as a priority for the recently established Australian Centre for Disease Control, which represents a critical opportunity to review pre-pandemic and pandemic surveillance practices, and to decide on future priorities, during both pandemic and inter-pandemic periods. On 20 October 2022, we ran a workshop with experts from the academic and government sectors who had contributed to the COVID-19 response in Australia on 'The role of surveillance in epidemic response', at the University of New South Wales, Sydney, Australia. Following the workshop, we developed five recommendations to strengthen respiratory virus surveillance systems in Australia, which we present here. Our recommendations are not intended to be exhaustive. We instead chose to focus on data types that are highly valuable yet typically overlooked by surveillance planners. Three of the recommendations focus on data collection activities that support the monitoring and prediction of disease impact and the effectiveness of interventions (what to measure) and two focus on surveillance methods and capabilities (how to measure). Implementation of our recommendations would enable more robust, timely, and impactful epidemic analysis.
KW - COVID-19 pandemic
KW - public health surveillance
KW - viral respiratory infections
UR - http://www.scopus.com/inward/record.url?scp=85199127351&partnerID=8YFLogxK
U2 - 10.33321/cdi.2024.48.47
DO - 10.33321/cdi.2024.48.47
M3 - Article
C2 - 39021126
AN - SCOPUS:85199127351
SN - 2209-6051
VL - 48
JO - Communicable Diseases Intelligence
JF - Communicable Diseases Intelligence
ER -