The evolution of mosquito baiting: from chemical and electronic methods toward AI.

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Bibliographic Details
Title: The evolution of mosquito baiting: from chemical and electronic methods toward AI.
Authors: Shaky MM; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA. mustafa.shaky@ufl.edu., Kalavakonda RR; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA., Mila SA; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA., Ghosh A; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA., Futo M; Florida Medical Entomology Laboratory, University of Florida-IFAS, Vero Beach, FL, 32962, USA., Hidayat J; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA., Bhunia S; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA. swarup@ece.ufl.edu., Ray S; Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA. sandip@ece.ufl.edu., Burini BC; Florida Medical Entomology Laboratory, University of Florida-IFAS, Vero Beach, FL, 32962, USA. bianca.kojin@ufl.edu.
Source: Parasites & vectors [Parasit Vectors] 2026 May 26; Vol. 19 (1). Date of Electronic Publication: 2026 May 26.
Publication Type: Journal Article; Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101462774 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-3305 (Electronic) Linking ISSN: 17563305 NLM ISO Abbreviation: Parasit Vectors Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1756-3305
DOI:10.1186/s13071-026-07413-1