ArticleDiagnostic microbiology and infectious disease2021
An Australian diagnostic microbiology surge response to the COVID-19 pandemic.
Article in Diagnostic microbiology and infectious disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Using a Systems Engineering Approach to Build a PCR Testing System at a Medical School During the COVID-19 Pandemic.Risk management and healthcare policy · 2024Article
- Building on health security capacities in Indonesia: Lessons learned from the COVID-19 pandemic responses and challenges.Zoonoses and public health · 2022Article
- Implementation of large-scale laboratory-based detection of COVID-19 in the Veterans Health Administration, March 2020 - February 2021.Diagnostic microbiology and infectious disease · 2022Article
- Comparison of two nucleic acid amplification tests (NAATs) and two antigen tests for detection of SARS-CoV-2 from upper respiratory specimens.Journal of clinical virology plus · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diagnostic microbiology services form a critical component of the response to infectious disease outbreaks. Like previous respiratory virus pandemics, the COVID-19 pandemic has placed significant strains on the standing capacity of laboratories around the world. In this case study, we describe the surge response required by our laboratory to meet the fluctuating demand for SARS-CoV-2 in our regional pathology service in Western Sydney, Australia between March and May 2020. While the overall number of SARS-CoV-2 PCR positive cases was relatively low compared to other Australian local health districts, testing numbers were highly unpredictable and changed on a weekly basis as local outbreaks were detected. As with other laboratories, numerous other challenges were also faced during this period, including the requirement to introduce a new and unaccredited diagnostic PCR assay for SARS-CoV-2, local and global shortages of reagents for sampling and sample processing, and a significant institutional SARS-CoV-2 outbreak in our laboratory catchment area. A successful service delivery during this period could only be maintained by a dynamic whole-of-laboratory and organizational response including (1) operational changes to the hours of service and the expansion of diagnostic testing at our laboratory site and other sites within our organization (2) careful management of specialist staff and re-training and recruitment of additional staff (3) changes to laboratory workflows to improve SARS-CoV-2 PCR test turnaround time and to accommodate limits to precious laboratory reagents; (4) clear communication within our laboratory and the NSW Health Pathology organization; and (5) collaborative co-ordination and support by NSW Health Pathology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.