Evidence map›Paper›PMID 32592444›Full record

ArticleTransboundary and emerging diseases2021

A comparison of amplification methods to detect Avian Influenza viruses in California wetlands targeted via remote sensing of waterfowl.

Madeline M McCuen, Maurice E Pitesky, Jeffrey J Buler, Sarai Acosta, Alexander H Wilcox, Ronald F Bond, Samuel L Díaz-Muñoz

Abstract readComparative Study
In one paragraph

Article in Transboundary and emerging diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Madeline M McCuenDepartment of Population Health and Reproduction, School of Veterinary Medicine-Cooperative Extension, University of California, Davis, CA, USA.
Maurice E PiteskyDepartment of Population Health and Reproduction, School of Veterinary Medicine-Cooperative Extension, University of California, Davis, CA, USA.ORCID https://orcid.org/0000-0003-0084-6404
Jeffrey J BulerDepartment of Entomology and Wildlife Ecology, University of Delaware, Newark, DE, USA.ORCID https://orcid.org/0000-0002-2696-847X
Sarai AcostaDepartment of Population Health and Reproduction, School of Veterinary Medicine-Cooperative Extension, University of California, Davis, CA, USA.
Alexander H WilcoxDepartment of Microbiology and Molecular Genetics, University of California, Davis, CA, USA.ORCID https://orcid.org/0000-0002-8615-1752
Ronald F BondWestern Institute for Food Safety and Security, School of Veterinary Medicine, University of California, Davis, CA, USA.
Samuel L Díaz-MuñozDepartment of Microbiology and Molecular Genetics, University of California, Davis, CA, USA.ORCID https://orcid.org/0000-0003-2967-9806

Funding

Dissecting the drivers of avian influenza virus reassortment in the wild bird reservoirR00AI119401 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DIAZ, SAMUEL L · 2017 to 2018
$493k
NIAID NIH HHS R00 AI119401NIH National Institute of Allergy and Infectious Diseases R00 grant (4R00AI119401-02) to S.L.D.M.UC-ANR Competitive Grants Project No. 15-3733 to M.E.P
6 · The paper itself

Abstract

Migratory waterfowl, including geese and ducks, are indicated as the primary reservoir of avian influenza viruses (AIv) which can be subsequently spread to commercial poultry. The US Department of Agriculture's (USDA) surveillance efforts of waterfowl for AIv have been largely discontinued in the contiguous United States. Consequently, the use of technologies to identify areas of high waterfowl density and detect the presence of AIv in habitat such as wetlands has become imperative. Here we identified two high waterfowl density areas in California using processed NEXt generation RADar (NEXRAD) and collected water samples to test the efficacy of two tangential flow ultrafiltration methods and two nucleic acid based AIv detection assays. Whole-segment amplification and long-read sequencing yielded more positive samples than standard M-segment qPCR methods (57.6% versus 3.0%, p < .0001). We determined that this difference in positivity was due to mismatches in published primers to our samples and that these mismatches would result in failing to detect in the vast majority of currently sequenced AIv genomes in public databases. The whole segment sequences were subsequently used to provide subtype and potential host information of the AIv environmental reservoir. There was no statistically significant difference in sequencing reads recovered from the Rexeed

Indexed as

DucksGeeseRemote Sensing TechnologyAnimalsAnimals, WildCaliforniaFiltrationInfluenza A virusInfluenza in BirdsNucleic Acid Amplification TechniquesWetlandsavian influenza virus detectionM-RTPCRpoultry industryultrafiltrationwaterfowlwetlands

Identifiers

PMID32592444
PMCPMC8048853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.