Evidence map›Paper›PMID 39191889›Full record

ArticleCommunications engineering2024

Computer numerical control knitting of high-resolution mosquito bite blocking textiles.

Bryan Holt, Kyle Oswalt, Alexa England, Richard Murphy, Isabella Owens, Micaela Finney, Natalie Wong, Sushil Adhikari, James McCann, John Beckmann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Integrated vector management for malaria control: a review of approaches and effectiveness.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025
    Review
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.

Bryan Holt *Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Kyle Oswalt *Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Alexa EnglandDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Richard MurphyDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Isabella OwensDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Micaela FinneyDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.ORCID http://orcid.org/0000-0002-0789-7629
Natalie WongDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA.
Sushil AdhikariDepartment of Biosystems Engineering, Auburn University, Auburn, AL, USA.
James McCannDepartment of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
John BeckmannDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, USA. beckmann@auburn.edu.ORCID http://orcid.org/0000-0001-7398-9647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquitoes and other biting arthropods transmit diseases worldwide, causing over 700,000 deaths each year, and costing about 3 billion USD annually for Aedes species alone. Insect vectored diseases also pose a considerable threat to agricultural animals. While clothing could provide a simple solution to vector-borne diseases, modern textiles do not effectively block mosquito bites. Here we have designed three micro-resolution knitted structures, with five adjustable parameters that can block mosquito bites. These designs, which exhibit significant bite reduction were integrated into a computer numerical control knitting robot for mass production of bite-blocking garments with minimal human labor. We then quantified the comfort of blocking garments. Our knits enable individuals to protect themselves from insects amidst their day-to-day activities without impacting the environment.

Identifiers

PMID39191889
PMCPMC11350116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.