Evidence map›Paper›PMID 36261651›Full record

ArticleScientific data2022

A minimum data standard for vector competence experiments.

Velen Yifei Wu, Binqi Chen, Rebecca Christofferson, Gregory Ebel, Anna C Fagre, Emily N Gallichotte, Amy R Sweeny, Colin J Carlson, Sadie J Ryan

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
9.4field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  3. Exploring the Mosquito-Arbovirus Network: A Survey of Vector Competence Experiments.The American journal of tropical medicine and hygiene · 2023
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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

9 authors at 4 institutions in 3 countries.

Velen Yifei WuCenter for Global Health Science and Security, Georgetown University Medical Center, Washington, D.C., USA.
Binqi ChenCenter for Global Health Science and Security, Georgetown University Medical Center, Washington, D.C., USA.ORCID 0000-0002-8740-8046
Rebecca ChristoffersonDepartment of Pathobiological Sciences, Louisiana State University, Baton Rouge, USA.
Gregory EbelCenter for Vector-borne Infectious Diseases, Colorado State University, Fort Collins, USA.
Anna C FagreCenter for Vector-borne Infectious Diseases, Colorado State University, Fort Collins, USA.
Emily N GallichotteCenter for Vector-borne Infectious Diseases, Colorado State University, Fort Collins, USA.
Amy R SweenyCenter for Global Health Science and Security, Georgetown University Medical Center, Washington, D.C., USA.
Colin J CarlsonCenter for Global Health Science and Security, Georgetown University Medical Center, Washington, D.C., USA. colin.carlson@georgetown.edu.
Sadie J RyanDepartment of Geography, University of Florida, Gainesville, USA. sjryan@ufl.edu.ORCID 0000-0002-4308-6321
Georgetown University · USColorado State University · USLouisiana State University · USUniversity of Florida · US

Funding

National Science Foundation (NSF) BII 2021909National Science Foundation (NSF) DBI 2016265
6 · The paper itself

Abstract

The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted increased focus on the fundamental biology of vector-virus interactions. To this end, experiments are often the most reliable way to measure vector competence (the potential for arthropod vectors to transmit certain pathogens). Data from these experiments are critical to understand outbreak risk, but - despite having been collected and reported for a large range of vector-pathogen combinations - terminology is inconsistent, records are scattered across studies, and the accompanying publications often share data with insufficient detail for reuse or synthesis. Here, we present a minimum data and metadata standard for reporting the results of vector competence experiments. Our reporting checklist strikes a balance between completeness and labor-intensiveness, with the goal of making these important experimental data easier to find and reuse in the future, without much added effort for the scientists generating the data. To illustrate the standard, we provide an example that reproduces results from a study of Aedes aegypti vector competence for Zika virus.

Indexed as

AedesZika VirusZika Virus InfectionAnimalsDisease OutbreaksMosquito Vectors

Identifiers

PMID36261651
PMCPMC9582208
OpenAlexW4306846732

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.