首页|Ifakara Health Institute Reports Findings in Falciparum Malaria (Reagent-free de tection of Plasmodium falciparum malaria infections in field-collected mosquitoe s using mid-infrared spectroscopy and machine learning)

Ifakara Health Institute Reports Findings in Falciparum Malaria (Reagent-free de tection of Plasmodium falciparum malaria infections in field-collected mosquitoe s using mid-infrared spectroscopy and machine learning)

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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 - Falciparum Malaria is the subject of a report. According to news originating from Morogoro, Tanzania, by NewsRx correspondents, research stated, “Field-deri ved metrics are critical for effective control of malaria, particularly in sub-S aharan Africa where the disease kills over half a million people yearly. One key metric is entomological inoculation rate, a direct measure of transmission inte nsities, computed as a product of human biting rates and prevalence of Plasmodiu m sporozoites in mosquitoes.”

MorogoroTanzaniaAfricaCyborgsEme rging TechnologiesFalciparum MalariaHealth and MedicineMachine LearningM alariaMosquito-Borne DiseasesMosquitoesPlasmodium falciparumProtozoan In fectionsRisk and PreventionTropical Disease

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.10)