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Opening up safely: public health system requirements for ongoing COVID-19 management based on evaluation of Australia's surveillance system performance.
Lokuge, Kamalini; D'Onise, Katina; Banks, Emily; Street, Tatum; Jantos, Sydney; Baptista, Mohana; Glass, Kathryn.
  • Lokuge K; National Centre for Epidemiology and Population Health, The Australian National University, 62 Mills Road, Acton ACT, Canberra, 2601, Australia. kamalini.lokuge@anu.edu.au.
  • D'Onise K; School of Public Health, University of Adelaide, Adelaide, Australia.
  • Banks E; Wellbeing SA, Adelaide, South Australia, Australia.
  • Street T; National Centre for Epidemiology and Population Health, The Australian National University, 62 Mills Road, Acton ACT, Canberra, 2601, Australia.
  • Jantos S; National Centre for Epidemiology and Population Health, The Australian National University, 62 Mills Road, Acton ACT, Canberra, 2601, Australia.
  • Baptista M; National Centre for Epidemiology and Population Health, The Australian National University, 62 Mills Road, Acton ACT, Canberra, 2601, Australia.
  • Glass K; Department of Health, Melbourne, Victoria, Australia.
BMC Med ; 20(1): 157, 2022 04 15.
Article in English | MEDLINE | ID: covidwho-2089195
ABSTRACT

BACKGROUND:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) community transmission was eliminated in Australia from 1/11/2020 to 30/6/2021, allowing evaluation of surveillance system performance in detecting novel outbreaks, including against variants of concern (VoCs). This paper aims to define system requirements for coronavirus disease 2019 (COVID-19) surveillance under future transmission and response scenarios, based on surveillance system performance to date.

METHODS:

This study described and evaluated surveillance systems and epidemiological characteristics of novel outbreaks based on publicly available data, and assessed surveillance system sensitivity and timeliness in outbreak detection. These findings were integrated with analysis of other critical COVID-19 public health measures to establish future COVID-19 management requirements.

RESULTS:

Twenty-five epidemiologically distinct outbreaks and five distinct clusters were identified in the study period, all linked through genomic sequencing to novel introductions from international travellers. Seventy percent (21/30) were detected through community testing of people with acute respiratory illness, and 30% (9/30) through quarantine screening. On average, 2.07% of the State population was tested in the week preceding detection for those identified through community surveillance. From 17/30 with publicly available data, the average time from seeding to detection was 4.9 days. One outbreak was preceded by unexpected positive wastewater results. Twenty of the 24 outbreaks in 2021 had publicly available sequencing data, all of which identified VoCs. A surveillance strategy for future VoCs similar to that used for detecting SARS-CoV-2 would require a 100-1000-fold increase in genomic sequencing capacity compared to the study period. Other essential requirements are maintaining outbreak response capacity and developing capacity to rapidly engineer, manufacture, and distribute variant vaccines at scale.

CONCLUSIONS:

Australia's surveillance systems performed well in detecting novel introduction of SARS-CoV-2 while community transmission was eliminated; introductions were infrequent and case numbers were low. Detection relied on quarantine screening and community surveillance in symptomatic members of the general population, supported by comprehensive genomic sequencing. Once vaccine coverage is maximised, future COVID-19 control should shift to detection of SARS-CoV-2 VoCs, requiring maintenance of surveillance systems and testing all international arrivals, alongside greatly increased genomic sequencing capacity. Effective government support of localised public health response mechanisms and engagement of all sectors of the community is crucial to current and future COVID-19 management.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Oceania Language: English Journal: BMC Med Journal subject: Medicine Year: 2022 Document Type: Article Affiliation country: S12916-022-02344-x

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Oceania Language: English Journal: BMC Med Journal subject: Medicine Year: 2022 Document Type: Article Affiliation country: S12916-022-02344-x