Robotics & Machine Learning Daily News2024,Issue(Jun.10) :81-82.

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卫生研究所报告了恶性疟疾的发现(使用中红外光谱和机器学习在野外采集的蚊子中检测恶性疟原虫疟疾感染的无试剂检测)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :81-82.

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卫生研究所报告了恶性疟疾的发现(使用中红外光谱和机器学习在野外采集的蚊子中检测恶性疟原虫疟疾感染的无试剂检测)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-一篇关于蚊子传播疾病的新研究-恶性疟疾是一篇报道的主题。根据NewsRx记者来自坦桑尼亚莫罗戈罗的新闻报道,研究表明,“实地监测指标对于有效控制疟疾至关重要,特别是在非洲撒哈拉以南地区,疟疾每年夺走50多万人的生命。一个关键指标是昆虫接种率,这是一种直接衡量传播强度的指标,计算方法是人类叮咬率和蚊子中疟原虫子孢子流行率的乘积。”

Abstract

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.”

Key words

Morogoro/Tanzania/Africa/Cyborgs/Eme rging Technologies/Falciparum Malaria/Health and Medicine/Machine Learning/M alaria/Mosquito-Borne Diseases/Mosquitoes/Plasmodium falciparum/Protozoan In fections/Risk and Prevention/Tropical Disease

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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