Freya M Shearer, Laura Edwards, Martyn Kirk, Oliver Eales, Nick Golding, Jenna Hassall, Bette Liu, Michael Lydeamore, Caroline Miller, Robert Moss, David J Price, Gerard E Ryan, Sheena Sullivan, Ruarai Tobin, Kate Ward, John Kaldor, Allen C Cheng, James Wood, James M McCaw
{"title":"Opportunities to strengthen respiratory virus surveillance systems in Australia: lessons learned from the COVID-19 response.","authors":"Freya M Shearer, Laura Edwards, Martyn Kirk, Oliver Eales, Nick Golding, Jenna Hassall, Bette Liu, Michael Lydeamore, Caroline Miller, Robert Moss, David J Price, Gerard E Ryan, Sheena Sullivan, Ruarai Tobin, Kate Ward, John Kaldor, Allen C Cheng, James Wood, James M McCaw","doi":"10.33321/cdi.2024.48.47","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>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.</p>","PeriodicalId":36867,"journal":{"name":"Communicable diseases intelligence (2018)","volume":"48 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communicable diseases intelligence (2018)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33321/cdi.2024.48.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
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.