首页|Ifakara Health Institute Reports Findings in Malaria (Rapid classification of ep idemiologically relevant age categories of the malaria vector, Anopheles funestu s)
Ifakara Health Institute Reports Findings in Malaria (Rapid classification of ep idemiologically relevant age categories of the malaria vector, Anopheles funestu s)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mosquito-Borne Disease s-Malaria is the subject of a report. According to news reporting out of Morog oro, Tanzania, by NewsRx editors, research stated, "Accurately determining the a ge and survival probabilities of adult mosquitoes is crucial for understanding p arasite transmission, evaluating the effectiveness of control interventions and assessing disease risk in communities. This study was aimed at demonstrating the rapid identification of epidemiologically relevant age categories of Anopheles funestus, a major Afro-tropical malaria vector, through the innovative combinati on of infrared spectroscopy and machine learning, instead of the cumbersome prac tice of dissecting mosquito ovaries to estimate age based on parity status." Financial supporters for this research include Medical Research Council, Wellcom e Trust, Academy Medical Sciences Springboard Award, Bill and Melinda Gates Foun dation, Royal Society, Howard Hughes Medical Institute.
MorogoroTanzaniaAfricaCyborgsEme rging TechnologiesEpidemiologyHealth and MedicineMachine LearningMalariaMosquito-Borne DiseasesMosquitoesProtozoan InfectionsRisk and Prevention
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