{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11"],"submitter":["Dasari S"],"pubmed_abstract":["<h4>Background</h4>Malaria impacts nearly 250 million individuals annually. Specifically, Uganda has one of the highest burdens, with 13 million cases and nearly 20,000 deaths. Controlling the spread of malaria relies on vector surveillance, a system where collected mosquitos are analyzed for vector species' density in rural areas to plan interventions accordingly. However, this relies on trained entomologists known as vector control officers (VCOs) who identify species via microscopy. The global shortage of entomologists and this time-intensive process cause significant reporting delays. VectorCam is a low-cost artificial intelligence-based tool that identifies a mosquito's species, sex, and abdomen status with a picture and sends these results electronically from surveillance sites to de"],"journal":["JMIR human factors"],"pagination":["e56605"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11364941"],"repository":["biostudies-literature"],"pubmed_title":["A Handheld Tool for the Rapid Morphological Identification of Mosquito Species (VectorCam) for Community-Based Malaria Vector Surveillance: Summative Usability Study."],"pmcid":["PMC11364941"],"pubmed_authors":["Dasari S","Acharya S","Gopinath B","Merali KK","Sunil Kumar A","Patel SM","Gaulke CJ"],"additional_accession":[]},"is_claimable":false,"name":"A Handheld Tool for the Rapid Morphological Identification of Mosquito Species (VectorCam) for Community-Based Malaria Vector Surveillance: Summative Usability Study.","description":"<h4>Background</h4>Malaria impacts nearly 250 million individuals annually. Specifically, Uganda has one of the highest burdens, with 13 million cases and nearly 20,000 deaths. Controlling the spread of malaria relies on vector surveillance, a system where collected mosquitos are analyzed for vector species' density in rural areas to plan interventions accordingly. However, this relies on trained entomologists known as vector control officers (VCOs) who identify species via microscopy. The global shortage of entomologists and this time-intensive process cause significant reporting delays. VectorCam is a low-cost artificial intelligence-based tool that identifies a mosquito's species, sex, and abdomen status with a picture and sends these results electronically from surveillance sites to de","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2026-07-16T07:23:15.583Z","creation":"2024-11-09T11:05:01.874Z"},"accession":"S-EPMC11364941","cross_references":{"pubmed":["39150762"],"doi":["10.2196/56605"]}}