Look before diving into pooling of SARS-CoV-2 samples on high throughput analyzers Article Swipe
Jason J. LeBlanc
,
Glenn Patriquin
,
Janice Pettipas
,
Michelle Warhuus
,
Darren Sarty
,
Colleen E. Jackson
,
Charles Heinstein
,
James MacDonald
,
David Haldane
,
Todd F. Hatchette
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.08.17.20176982
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.08.17.20176982
Given the unprecedented demand for SARS-CoV-2 testing during the COVID-19 pandemic, the benefits of specimen pooling have recently been explored. As previous studies were limited to mathematical modeling or testing on low throughput PCR instruments, this study aimed to assess pooling on high throughput analyzers. To assess the impact of pooling, SARS-CoV-2 dilutions were performed at varying pool depths (i.e. 1:2, 1:4, and 1:8) into test-negative nasopharyngeal or oropharynx/anterior nares swabs matrix. Testing was evaluated on the automated Roche Cobas 6800 system, or the Roche MagNApure LC 2.0 or MagNAPure 96 instruments paired with a laboratory-developed test using a 96-well PCR format. The frequency of detection in specimens with low viral loads was evaluated using archived specimens collected throughout the first pandemic wave. The proportion of detectable results per pool depths was used to estimate the potential impact. In addition, workflow at the analytical stage, and pre-and post-stages of testing were also considered. The current study estimated that pool depths of 1:2, 1:4, and 1:8 would have allowed the detection of 98.3%, 96.0%, and 92.6% of positive SARS-CoV-2 results identified in the first wave of the pandemic in Nova Scotia. Overall, this study demonstrated that pooling on high throughput instrumentation can dramatically increase the overall testing capacity to meet increased demands, with little compromising to sensitivity at low pool depths. However, the human resources required at the pre-analytical stage of testing is a particular challenging to achieve.
Related Topics
Concepts
Pooling
Throughput
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Pandemic
Coronavirus disease 2019 (COVID-19)
Instrumentation (computer programming)
Environmental science
Computer science
Medicine
Artificial intelligence
Internal medicine
Operating system
Wireless
Disease
Infectious disease (medical specialty)
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.08.17.20176982
- https://www.medrxiv.org/content/medrxiv/early/2020/08/21/2020.08.17.20176982.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3081349163
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3081349163Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2020.08.17.20176982Digital Object Identifier
- Title
-
Look before diving into pooling of SARS-CoV-2 samples on high throughput analyzersWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-08-21Full publication date if available
- Authors
-
Jason J. LeBlanc, Glenn Patriquin, Janice Pettipas, Michelle Warhuus, Darren Sarty, Colleen E. Jackson, Charles Heinstein, James MacDonald, David Haldane, Todd F. HatchetteList of authors in order
- Landing page
-
https://doi.org/10.1101/2020.08.17.20176982Publisher landing page
- PDF URL
-
https://www.medrxiv.org/content/medrxiv/early/2020/08/21/2020.08.17.20176982.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.medrxiv.org/content/medrxiv/early/2020/08/21/2020.08.17.20176982.full.pdfDirect OA link when available
- Concepts
-
Pooling, Throughput, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pandemic, Coronavirus disease 2019 (COVID-19), Instrumentation (computer programming), Environmental science, Computer science, Medicine, Artificial intelligence, Internal medicine, Operating system, Wireless, Disease, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 2Per-year citation counts (last 5 years)
- References (count)
-
59Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3081349163 |
|---|---|
| doi | https://doi.org/10.1101/2020.08.17.20176982 |
| ids.doi | https://doi.org/10.1101/2020.08.17.20176982 |
| ids.mag | 3081349163 |
| ids.openalex | https://openalex.org/W3081349163 |
| fwci | 0.05737377 |
| type | preprint |
| title | Look before diving into pooling of SARS-CoV-2 samples on high throughput analyzers |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11754 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2725 |
| topics[0].subfield.display_name | Infectious Diseases |
| topics[0].display_name | SARS-CoV-2 detection and testing |
| topics[1].id | https://openalex.org/T11393 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.996399998664856 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2204 |
| topics[1].subfield.display_name | Biomedical Engineering |
| topics[1].display_name | Biosensors and Analytical Detection |
| topics[2].id | https://openalex.org/T11243 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9940000176429749 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2713 |
| topics[2].subfield.display_name | Epidemiology |
| topics[2].display_name | Respiratory viral infections research |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C70437156 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8999334573745728 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7228652 |
| concepts[0].display_name | Pooling |
| concepts[1].id | https://openalex.org/C157764524 |
| concepts[1].level | 3 |
| concepts[1].score | 0.5768478512763977 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1383412 |
| concepts[1].display_name | Throughput |
| concepts[2].id | https://openalex.org/C3007834351 |
| concepts[2].level | 5 |
| concepts[2].score | 0.5663048028945923 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q82069695 |
| concepts[2].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| concepts[3].id | https://openalex.org/C89623803 |
| concepts[3].level | 5 |
| concepts[3].score | 0.470289945602417 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q12184 |
| concepts[3].display_name | Pandemic |
| concepts[4].id | https://openalex.org/C3008058167 |
| concepts[4].level | 4 |
| concepts[4].score | 0.4396296441555023 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q84263196 |
| concepts[4].display_name | Coronavirus disease 2019 (COVID-19) |
| concepts[5].id | https://openalex.org/C118530786 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4217846393585205 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1134732 |
| concepts[5].display_name | Instrumentation (computer programming) |
| concepts[6].id | https://openalex.org/C39432304 |
| concepts[6].level | 0 |
| concepts[6].score | 0.3838875889778137 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[6].display_name | Environmental science |
| concepts[7].id | https://openalex.org/C41008148 |
| concepts[7].level | 0 |
| concepts[7].score | 0.32675275206565857 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[7].display_name | Computer science |
| concepts[8].id | https://openalex.org/C71924100 |
| concepts[8].level | 0 |
| concepts[8].score | 0.30746889114379883 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[8].display_name | Medicine |
| concepts[9].id | https://openalex.org/C154945302 |
| concepts[9].level | 1 |
| concepts[9].score | 0.13527032732963562 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[9].display_name | Artificial intelligence |
| concepts[10].id | https://openalex.org/C126322002 |
| concepts[10].level | 1 |
| concepts[10].score | 0.13052603602409363 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[10].display_name | Internal medicine |
| concepts[11].id | https://openalex.org/C111919701 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0869738757610321 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[11].display_name | Operating system |
| concepts[12].id | https://openalex.org/C555944384 |
| concepts[12].level | 2 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q249 |
| concepts[12].display_name | Wireless |
| concepts[13].id | https://openalex.org/C2779134260 |
| concepts[13].level | 2 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[13].display_name | Disease |
| concepts[14].id | https://openalex.org/C524204448 |
| concepts[14].level | 3 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q788926 |
| concepts[14].display_name | Infectious disease (medical specialty) |
| keywords[0].id | https://openalex.org/keywords/pooling |
| keywords[0].score | 0.8999334573745728 |
| keywords[0].display_name | Pooling |
| keywords[1].id | https://openalex.org/keywords/throughput |
| keywords[1].score | 0.5768478512763977 |
| keywords[1].display_name | Throughput |
| keywords[2].id | https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2 |
| keywords[2].score | 0.5663048028945923 |
| keywords[2].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| keywords[3].id | https://openalex.org/keywords/pandemic |
| keywords[3].score | 0.470289945602417 |
| keywords[3].display_name | Pandemic |
| keywords[4].id | https://openalex.org/keywords/coronavirus-disease-2019 |
| keywords[4].score | 0.4396296441555023 |
| keywords[4].display_name | Coronavirus disease 2019 (COVID-19) |
| keywords[5].id | https://openalex.org/keywords/instrumentation |
| keywords[5].score | 0.4217846393585205 |
| keywords[5].display_name | Instrumentation (computer programming) |
| keywords[6].id | https://openalex.org/keywords/environmental-science |
| keywords[6].score | 0.3838875889778137 |
| keywords[6].display_name | Environmental science |
| keywords[7].id | https://openalex.org/keywords/computer-science |
| keywords[7].score | 0.32675275206565857 |
| keywords[7].display_name | Computer science |
| keywords[8].id | https://openalex.org/keywords/medicine |
| keywords[8].score | 0.30746889114379883 |
| keywords[8].display_name | Medicine |
| keywords[9].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[9].score | 0.13527032732963562 |
| keywords[9].display_name | Artificial intelligence |
| keywords[10].id | https://openalex.org/keywords/internal-medicine |
| keywords[10].score | 0.13052603602409363 |
| keywords[10].display_name | Internal medicine |
| keywords[11].id | https://openalex.org/keywords/operating-system |
| keywords[11].score | 0.0869738757610321 |
| keywords[11].display_name | Operating system |
| language | en |
| locations[0].id | doi:10.1101/2020.08.17.20176982 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | |
| locations[0].pdf_url | https://www.medrxiv.org/content/medrxiv/early/2020/08/21/2020.08.17.20176982.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2020.08.17.20176982 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5073812612 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0593-0357 |
| authorships[0].author.display_name | Jason J. LeBlanc |
| authorships[0].countries | CA |
| authorships[0].affiliations[0].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[0].affiliations[1].raw_affiliation_string | Canadian Cntr for Vaccinology (CCfV), Dalhousi Univrsity, IWK Halth Cntr, and Nova Scotia Halth, Halifax, Nova Scotia, Canada. |
| authorships[0].affiliations[2].institution_ids | https://openalex.org/I129902397 |
| authorships[0].affiliations[2].raw_affiliation_string | Department of Microbiology an Immunology, Dalhousie University, Halifax, Nova Scotia, Canaa. |
| authorships[0].affiliations[3].institution_ids | https://openalex.org/I129902397 |
| authorships[0].affiliations[3].raw_affiliation_string | Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada. |
| authorships[0].affiliations[4].institution_ids | https://openalex.org/I129902397 |
| authorships[0].affiliations[4].raw_affiliation_string | Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada. |
| authorships[0].institutions[0].id | https://openalex.org/I129902397 |
| authorships[0].institutions[0].ror | https://ror.org/01e6qks80 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I129902397 |
| authorships[0].institutions[0].country_code | CA |
| authorships[0].institutions[0].display_name | Dalhousie University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jason J. LeBlanc |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Canadian Cntr for Vaccinology (CCfV), Dalhousi Univrsity, IWK Halth Cntr, and Nova Scotia Halth, Halifax, Nova Scotia, Canada., Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada., Department of Microbiology an Immunology, Dalhousie University, Halifax, Nova Scotia, Canaa., Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada., Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[1].author.id | https://openalex.org/A5043618777 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8674-4358 |
| authorships[1].author.display_name | Glenn Patriquin |
| authorships[1].countries | CA |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I129902397 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada. |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I129902397 |
| authorships[1].affiliations[1].raw_affiliation_string | Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada. |
| authorships[1].affiliations[2].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[1].institutions[0].id | https://openalex.org/I129902397 |
| authorships[1].institutions[0].ror | https://ror.org/01e6qks80 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I129902397 |
| authorships[1].institutions[0].country_code | CA |
| authorships[1].institutions[0].display_name | Dalhousie University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Glenn Patriquin |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada., Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada., Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[2].author.id | https://openalex.org/A5078272220 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Janice Pettipas |
| authorships[2].countries | CA |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I2802394193 |
| authorships[2].affiliations[0].raw_affiliation_string | Nova Scotia Provincial Public Health Laboratory Network (PPHLN), Haliax, Nova Scotia, Canada. |
| authorships[2].institutions[0].id | https://openalex.org/I2802394193 |
| authorships[2].institutions[0].ror | https://ror.org/035gna214 |
| authorships[2].institutions[0].type | government |
| authorships[2].institutions[0].lineage | https://openalex.org/I2802394193 |
| authorships[2].institutions[0].country_code | CA |
| authorships[2].institutions[0].display_name | Nova Scotia Health Authority |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Janice Pettipas |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Nova Scotia Provincial Public Health Laboratory Network (PPHLN), Haliax, Nova Scotia, Canada. |
| authorships[3].author.id | https://openalex.org/A5064895357 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Michelle Warhuus |
| authorships[3].affiliations[0].raw_affiliation_string | Canadian Cntr for Vaccinology (CCfV), Dalhousi Univrsity, IWK Halth Cntr, and Nova Scotia Halth, Halifax, Nova Scotia, Canada. |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Michelle Warhuus |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Canadian Cntr for Vaccinology (CCfV), Dalhousi Univrsity, IWK Halth Cntr, and Nova Scotia Halth, Halifax, Nova Scotia, Canada. |
| authorships[4].author.id | https://openalex.org/A5023358183 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Darren Sarty |
| authorships[4].affiliations[0].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Darren Sarty |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[5].author.id | https://openalex.org/A5020537926 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-9927-2684 |
| authorships[5].author.display_name | Colleen E. Jackson |
| authorships[5].affiliations[0].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Colleen Jackson |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[6].author.id | https://openalex.org/A5046012658 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Charles Heinstein |
| authorships[6].affiliations[0].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Charles Heinstein |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[7].author.id | https://openalex.org/A5030548583 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-3939-2307 |
| authorships[7].author.display_name | James MacDonald |
| authorships[7].affiliations[0].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | James MacDonald |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[8].author.id | https://openalex.org/A5073049368 |
| authorships[8].author.orcid | |
| authorships[8].author.display_name | David Haldane |
| authorships[8].countries | CA |
| authorships[8].affiliations[0].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[8].affiliations[1].institution_ids | https://openalex.org/I129902397 |
| authorships[8].affiliations[1].raw_affiliation_string | Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada. |
| authorships[8].affiliations[2].institution_ids | https://openalex.org/I129902397 |
| authorships[8].affiliations[2].raw_affiliation_string | Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada. |
| authorships[8].affiliations[3].institution_ids | https://openalex.org/I129902397 |
| authorships[8].affiliations[3].raw_affiliation_string | Department of Microbiology an Immunology, Dalhousie University, Halifax, Nova Scotia, Canaa. |
| authorships[8].affiliations[4].institution_ids | https://openalex.org/I2802394193 |
| authorships[8].affiliations[4].raw_affiliation_string | Nova Scotia Provincial Public Health Laboratory Network (PPHLN), Haliax, Nova Scotia, Canada. |
| authorships[8].institutions[0].id | https://openalex.org/I129902397 |
| authorships[8].institutions[0].ror | https://ror.org/01e6qks80 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I129902397 |
| authorships[8].institutions[0].country_code | CA |
| authorships[8].institutions[0].display_name | Dalhousie University |
| authorships[8].institutions[1].id | https://openalex.org/I2802394193 |
| authorships[8].institutions[1].ror | https://ror.org/035gna214 |
| authorships[8].institutions[1].type | government |
| authorships[8].institutions[1].lineage | https://openalex.org/I2802394193 |
| authorships[8].institutions[1].country_code | CA |
| authorships[8].institutions[1].display_name | Nova Scotia Health Authority |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | David Haldane |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada., Department of Microbiology an Immunology, Dalhousie University, Halifax, Nova Scotia, Canaa., Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada., Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd., Nova Scotia Provincial Public Health Laboratory Network (PPHLN), Haliax, Nova Scotia, Canada. |
| authorships[9].author.id | https://openalex.org/A5059132651 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-5377-2528 |
| authorships[9].author.display_name | Todd F. Hatchette |
| authorships[9].countries | CA |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I129902397 |
| authorships[9].affiliations[0].raw_affiliation_string | Department of Microbiology an Immunology, Dalhousie University, Halifax, Nova Scotia, Canaa. |
| authorships[9].affiliations[1].raw_affiliation_string | Canadian Cntr for Vaccinology (CCfV), Dalhousi Univrsity, IWK Halth Cntr, and Nova Scotia Halth, Halifax, Nova Scotia, Canada. |
| authorships[9].affiliations[2].institution_ids | https://openalex.org/I129902397 |
| authorships[9].affiliations[2].raw_affiliation_string | Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada. |
| authorships[9].affiliations[3].institution_ids | https://openalex.org/I129902397 |
| authorships[9].affiliations[3].raw_affiliation_string | Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada. |
| authorships[9].affiliations[4].raw_affiliation_string | Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| authorships[9].institutions[0].id | https://openalex.org/I129902397 |
| authorships[9].institutions[0].ror | https://ror.org/01e6qks80 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I129902397 |
| authorships[9].institutions[0].country_code | CA |
| authorships[9].institutions[0].display_name | Dalhousie University |
| authorships[9].author_position | last |
| authorships[9].raw_author_name | Todd F Hatchette |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Canadian Cntr for Vaccinology (CCfV), Dalhousi Univrsity, IWK Halth Cntr, and Nova Scotia Halth, Halifax, Nova Scotia, Canada., Department of Mediine, Dalhousie University, Halifax, Nova Sotia, Canada., Department of Microbiology an Immunology, Dalhousie University, Halifax, Nova Scotia, Canaa., Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada., Division of Microbiology, Deprtment of Pthology nd Lbortory Medicine, Nov Scoti Helth, Hlifx, Nov Scoti, Cnd. |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.medrxiv.org/content/medrxiv/early/2020/08/21/2020.08.17.20176982.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Look before diving into pooling of SARS-CoV-2 samples on high throughput analyzers |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11754 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2725 |
| primary_topic.subfield.display_name | Infectious Diseases |
| primary_topic.display_name | SARS-CoV-2 detection and testing |
| related_works | https://openalex.org/W2953234277, https://openalex.org/W2626256601, https://openalex.org/W147410782, https://openalex.org/W2900413183, https://openalex.org/W3022252430, https://openalex.org/W4390975304, https://openalex.org/W4287804464, https://openalex.org/W3103989898, https://openalex.org/W3211292372, https://openalex.org/W803346624 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2021 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2020.08.17.20176982 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://www.medrxiv.org/content/medrxiv/early/2020/08/21/2020.08.17.20176982.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2020.08.17.20176982 |
| primary_location.id | doi:10.1101/2020.08.17.20176982 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | |
| primary_location.pdf_url | https://www.medrxiv.org/content/medrxiv/early/2020/08/21/2020.08.17.20176982.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2020.08.17.20176982 |
| publication_date | 2020-08-21 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W3025007192, https://openalex.org/W3023118558, https://openalex.org/W3024971447, https://openalex.org/W3032292222, https://openalex.org/W3036717743, https://openalex.org/W3013552499, https://openalex.org/W3035417125, https://openalex.org/W3019291397, https://openalex.org/W3024861400, https://openalex.org/W3048205799, https://openalex.org/W3036669722, https://openalex.org/W3011355337, https://openalex.org/W3044073716, https://openalex.org/W3015926966, https://openalex.org/W1975680434, https://openalex.org/W3016677553, https://openalex.org/W3019625944, https://openalex.org/W3013085536, https://openalex.org/W3020233363, https://openalex.org/W3013582780, https://openalex.org/W3016584567, https://openalex.org/W3018588560, https://openalex.org/W2800150534, https://openalex.org/W3014990060, https://openalex.org/W3014566639, https://openalex.org/W3018202701, https://openalex.org/W2944127029, https://openalex.org/W3025706910, https://openalex.org/W3038827023, https://openalex.org/W3025634934, https://openalex.org/W3043594112, https://openalex.org/W3040738148, https://openalex.org/W3023623585, https://openalex.org/W3014846055, https://openalex.org/W3026205202, https://openalex.org/W2981546137, https://openalex.org/W2115017902, https://openalex.org/W2147679820, https://openalex.org/W2127893137, https://openalex.org/W3019218218, https://openalex.org/W3017192795, https://openalex.org/W3025827838, https://openalex.org/W3013893137, https://openalex.org/W3165838540, https://openalex.org/W3021827535, https://openalex.org/W3024093150, https://openalex.org/W3027223127, https://openalex.org/W3008027968, https://openalex.org/W3015571324, https://openalex.org/W3023086180, https://openalex.org/W3027829318, https://openalex.org/W3036757363, https://openalex.org/W3038505425, https://openalex.org/W3043014774, https://openalex.org/W3017617595, https://openalex.org/W3102760091, https://openalex.org/W3021366901, https://openalex.org/W3040304567, https://openalex.org/W3014901512 |
| referenced_works_count | 59 |
| abstract_inverted_index.a | 95, 99, 233 |
| abstract_inverted_index.96 | 91 |
| abstract_inverted_index.As | 21 |
| abstract_inverted_index.In | 139 |
| abstract_inverted_index.LC | 87 |
| abstract_inverted_index.To | 46 |
| abstract_inverted_index.at | 56, 142, 217, 226 |
| abstract_inverted_index.in | 107, 181, 188 |
| abstract_inverted_index.is | 232 |
| abstract_inverted_index.of | 14, 50, 105, 126, 149, 161, 171, 176, 185, 230 |
| abstract_inverted_index.on | 31, 42, 76, 197 |
| abstract_inverted_index.or | 29, 68, 83, 89 |
| abstract_inverted_index.to | 26, 39, 134, 208, 215, 236 |
| abstract_inverted_index.1:8 | 165 |
| abstract_inverted_index.2.0 | 88 |
| abstract_inverted_index.PCR | 34, 101 |
| abstract_inverted_index.The | 103, 124, 154 |
| abstract_inverted_index.and | 63, 146, 164, 174 |
| abstract_inverted_index.can | 201 |
| abstract_inverted_index.for | 5 |
| abstract_inverted_index.low | 32, 110, 218 |
| abstract_inverted_index.per | 129 |
| abstract_inverted_index.the | 2, 9, 12, 48, 77, 84, 120, 136, 143, 169, 182, 186, 204, 222, 227 |
| abstract_inverted_index.was | 74, 113, 132 |
| abstract_inverted_index.1:2, | 61, 162 |
| abstract_inverted_index.1:4, | 62, 163 |
| abstract_inverted_index.1:8) | 64 |
| abstract_inverted_index.6800 | 81 |
| abstract_inverted_index.Nova | 189 |
| abstract_inverted_index.also | 152 |
| abstract_inverted_index.been | 19 |
| abstract_inverted_index.have | 17, 167 |
| abstract_inverted_index.high | 43, 198 |
| abstract_inverted_index.into | 65 |
| abstract_inverted_index.meet | 209 |
| abstract_inverted_index.pool | 58, 130, 159, 219 |
| abstract_inverted_index.test | 97 |
| abstract_inverted_index.that | 158, 195 |
| abstract_inverted_index.this | 36, 192 |
| abstract_inverted_index.used | 133 |
| abstract_inverted_index.wave | 184 |
| abstract_inverted_index.were | 24, 54, 151 |
| abstract_inverted_index.with | 94, 109, 212 |
| abstract_inverted_index.(i.e. | 60 |
| abstract_inverted_index.92.6% | 175 |
| abstract_inverted_index.Cobas | 80 |
| abstract_inverted_index.Given | 1 |
| abstract_inverted_index.Roche | 79, 85 |
| abstract_inverted_index.aimed | 38 |
| abstract_inverted_index.first | 121, 183 |
| abstract_inverted_index.human | 223 |
| abstract_inverted_index.loads | 112 |
| abstract_inverted_index.nares | 70 |
| abstract_inverted_index.stage | 229 |
| abstract_inverted_index.study | 37, 156, 193 |
| abstract_inverted_index.swabs | 71 |
| abstract_inverted_index.using | 98, 115 |
| abstract_inverted_index.viral | 111 |
| abstract_inverted_index.wave. | 123 |
| abstract_inverted_index.would | 166 |
| abstract_inverted_index.96.0%, | 173 |
| abstract_inverted_index.98.3%, | 172 |
| abstract_inverted_index.assess | 40, 47 |
| abstract_inverted_index.demand | 4 |
| abstract_inverted_index.depths | 59, 131, 160 |
| abstract_inverted_index.during | 8 |
| abstract_inverted_index.impact | 49 |
| abstract_inverted_index.little | 213 |
| abstract_inverted_index.paired | 93 |
| abstract_inverted_index.stage, | 145 |
| abstract_inverted_index.96-well | 100 |
| abstract_inverted_index.Scotia. | 190 |
| abstract_inverted_index.Testing | 73 |
| abstract_inverted_index.allowed | 168 |
| abstract_inverted_index.current | 155 |
| abstract_inverted_index.depths. | 220 |
| abstract_inverted_index.format. | 102 |
| abstract_inverted_index.impact. | 138 |
| abstract_inverted_index.limited | 25 |
| abstract_inverted_index.matrix. | 72 |
| abstract_inverted_index.overall | 205 |
| abstract_inverted_index.pooling | 16, 41, 196 |
| abstract_inverted_index.pre-and | 147 |
| abstract_inverted_index.results | 128, 179 |
| abstract_inverted_index.studies | 23 |
| abstract_inverted_index.system, | 82 |
| abstract_inverted_index.testing | 7, 30, 150, 206, 231 |
| abstract_inverted_index.varying | 57 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.COVID-19 | 10 |
| abstract_inverted_index.However, | 221 |
| abstract_inverted_index.Overall, | 191 |
| abstract_inverted_index.achieve. | 237 |
| abstract_inverted_index.archived | 116 |
| abstract_inverted_index.benefits | 13 |
| abstract_inverted_index.capacity | 207 |
| abstract_inverted_index.demands, | 211 |
| abstract_inverted_index.estimate | 135 |
| abstract_inverted_index.increase | 203 |
| abstract_inverted_index.modeling | 28 |
| abstract_inverted_index.pandemic | 122, 187 |
| abstract_inverted_index.pooling, | 51 |
| abstract_inverted_index.positive | 177 |
| abstract_inverted_index.previous | 22 |
| abstract_inverted_index.recently | 18 |
| abstract_inverted_index.required | 225 |
| abstract_inverted_index.specimen | 15 |
| abstract_inverted_index.workflow | 141 |
| abstract_inverted_index.MagNAPure | 90 |
| abstract_inverted_index.MagNApure | 86 |
| abstract_inverted_index.addition, | 140 |
| abstract_inverted_index.automated | 78 |
| abstract_inverted_index.collected | 118 |
| abstract_inverted_index.detection | 106, 170 |
| abstract_inverted_index.dilutions | 53 |
| abstract_inverted_index.estimated | 157 |
| abstract_inverted_index.evaluated | 75, 114 |
| abstract_inverted_index.explored. | 20 |
| abstract_inverted_index.frequency | 104 |
| abstract_inverted_index.increased | 210 |
| abstract_inverted_index.pandemic, | 11 |
| abstract_inverted_index.performed | 55 |
| abstract_inverted_index.potential | 137 |
| abstract_inverted_index.resources | 224 |
| abstract_inverted_index.specimens | 108, 117 |
| abstract_inverted_index.SARS-CoV-2 | 6, 52, 178 |
| abstract_inverted_index.analytical | 144 |
| abstract_inverted_index.analyzers. | 45 |
| abstract_inverted_index.detectable | 127 |
| abstract_inverted_index.identified | 180 |
| abstract_inverted_index.particular | 234 |
| abstract_inverted_index.proportion | 125 |
| abstract_inverted_index.throughout | 119 |
| abstract_inverted_index.throughput | 33, 44, 199 |
| abstract_inverted_index.challenging | 235 |
| abstract_inverted_index.considered. | 153 |
| abstract_inverted_index.instruments | 92 |
| abstract_inverted_index.post-stages | 148 |
| abstract_inverted_index.sensitivity | 216 |
| abstract_inverted_index.compromising | 214 |
| abstract_inverted_index.demonstrated | 194 |
| abstract_inverted_index.dramatically | 202 |
| abstract_inverted_index.instruments, | 35 |
| abstract_inverted_index.mathematical | 27 |
| abstract_inverted_index.test-negative | 66 |
| abstract_inverted_index.unprecedented | 3 |
| abstract_inverted_index.nasopharyngeal | 67 |
| abstract_inverted_index.pre-analytical | 228 |
| abstract_inverted_index.instrumentation | 200 |
| abstract_inverted_index.oropharynx/anterior | 69 |
| abstract_inverted_index.laboratory-developed | 96 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 93 |
| corresponding_author_ids | https://openalex.org/A5073812612 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I129902397 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7599999904632568 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.46092865 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |