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

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

Year
2024
Citations
3
Access
Open access

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.

Keywords

BitingClothingBlocking (statistics)Block (permutation group theory)Mosquito controlEngineeringToxicologyComputer scienceBiologyEcology

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