Evidence map›Paper›PMID 29561834›Full record

ArticlePLoS neglected tropical diseases2018

Xenosurveillance reflects traditional sampling techniques for the identification of human pathogens: A comparative study in West Africa.

Joseph R Fauver, James Weger-Lucarelli, Lawrence S Fakoli, Kpehe Bolay, Fatorma K Bolay, Joseph W Diclaro, Doug E Brackney, Brian D Foy, Mark D Stenglein, Gregory D Ebel

Open access · goldAbstract readComparative Study
In one paragraph

Article in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  4. Molecular xenosurveillance ofMicrobiology spectrum · 2025
    Article
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  7. A virus associated with the zoonotic pathogenbioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
  10. Evaluation of Vector-Enabled Xenosurveillance in Rural Guatemala.The American journal of tropical medicine and hygiene · 2023
    Article
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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

10 authors at 3 institutions in 3 countries.

Joseph R FauverDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.ORCID 0000-0001-8099-2991
James Weger-LucarelliDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Lawrence S FakoliLiberian Institute for Biomedical Research, Charlesville, Liberia.
Kpehe BolayLiberian Institute for Biomedical Research, Charlesville, Liberia.
Fatorma K BolayLiberian Institute for Biomedical Research, Charlesville, Liberia.
Joseph W DiclaroUnited States Naval Medical Research Unit No. 3, Cairo, Egypt.
Doug E BrackneyDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Brian D FoyDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.ORCID 0000-0002-9117-203X
Mark D StengleinDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Gregory D EbelDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Colorado State University · USLiberian Institute for Biomedical Research · LRNaval Medical Research Unit EURAFCENT · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNovel surveillance strategies are needed to detect the rapid and continuous emergence of infectious disease agents. Ideally, new sampling strategies should be simple to implement, technologically uncomplicated, and applicable to areas where emergence events are known to occur. To this end, xenosurveillance is a technique that makes use of blood collected by hematophagous arthropods to monitor and identify vertebrate pathogens. Mosquitoes are largely ubiquitous animals that often exist in sizable populations. As well, many domestic or peridomestic species of mosquitoes will preferentially take blood-meals from humans, making them a unique and largely untapped reservoir to collect human blood. METHODOLOGY/PRINCIPAL

findingsWe sought to take advantage of this phenomenon by systematically collecting blood-fed mosquitoes during a field trail in Northern Liberia to determine whether pathogen sequences from blood engorged mosquitoes accurately mirror those obtained directly from humans. Specifically, blood was collected from humans via finger-stick and by aspirating bloodfed mosquitoes from the inside of houses. Shotgun metagenomic sequencing of RNA and DNA derived from these specimens was performed to detect pathogen sequences. Samples obtained from xenosurveillance and from finger-stick blood collection produced a similar number and quality of reads aligning to two human viruses, GB virus C and hepatitis B virus. CONCLUSIONS/SIGNIFICANCE: This study represents the first systematic comparison between xenosurveillance and more traditional sampling methodologies, while also demonstrating the viability of xenosurveillance as a tool to sample human blood for circulating pathogens.

Indexed as

Epidemiological MonitoringAnimalsCulicidaeHepacivirusHepatitis BHepatitis B virusHepatitis CHigh-Throughput Nucleotide SequencingHumansLiberiaMetagenomicsMosquito VectorsSampling StudiesVirus DiseasesViruses

Identifiers

PMID29561834
PMCPMC5880402
OpenAlexW2792613355

What OpenQuestion holds

Textmetadata
LicenceCC0
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.