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AI捕蚊器瞄准致命的登革热疫情AI mosquito trap targets deadly dengue outbreak

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你可能在 11 月并不怎么想蚊子的事。在全国大部分地区,天气转凉让那些讨厌的小吸血鬼躲了起来。但在佛罗里达州,蚊子依然制造着严重麻烦。该州正面临数十年来最大规模的登革热疫情,已有数百人在未离开该州的情况下感染了病毒。

You probably aren't thinking much about mosquitoes in November. In much of the country, cooler weather has sent those annoying little bloodsuckers into hiding. But in Florida, mosquitoes are still causing serious trouble. The state is dealing with its largest dengue outbreak in decades, and hundreds of people have caught the virus without leaving the state.

如今,南佛罗里达大学的研究人员开发出一种 AI 蚊虫诱捕器,可帮助卫生官员更快地发现危险蚊种。实验室测试显示,它能以 98% 以上的准确率识别蚊种。而在登革热仍在佛罗里达蔓延之际,这一时机至关重要。

Now, researchers at the University of South Florida have developed an AI mosquito trap that could help health officials find dangerous mosquito species much faster. It can identify mosquito species with more than 98% accuracy in laboratory testing. And with dengue still spreading in Florida, the timing couldn't be more important.

我们的免费 CyberGuy LIVE 课程“5 Ways to Travel Smarter and Save Money”已结束,但你仍可观看完整回放。Kurt “CyberGuy” Knutsson 将为你讲解五种实用方法:保护手机和个人信息、避开常见旅行骗局、寻找更优惠价格、节省预订费用,以及利用技术让旅行更轻松、压力更小。无需任何技术经验。

Our free CyberGuy LIVE class, 5 Ways to Travel Smarter and Save Money, has ended, but you can still watch the full replay. Kurt "CyberGuy" Knutsson walks you through five practical ways to protect your phone and personal information, avoid common travel scams, find better deals, save money on bookings and use technology to make your travels easier and less stressful. No technical experience is needed.

如果你以为蚊季随夏天结束,佛罗里达州的情况截然不同。根据佛罗里达州卫生部最新可用的每周监测报告,希尔斯伯勒县 2026 年已记录 407 例本地感染登革热病例,创下该县有记录以来最大规模疫情。全州范围内,截至 10 月 31 日,卫生官员共报告 524 例本地感染病例。这意味着这些人是被当地蚊子叮咬感染病毒,而非在海外旅行期间感染。

If you thought mosquito season ended when summer did, Florida has a different story to tell. According to the Florida Department of Health's latest available weekly surveillance report, Hillsborough County has recorded 407 locally acquired dengue cases in 2026, the county's largest outbreak on record. Across Florida, health officials have reported 524 locally acquired cases through October 31. That means people contracted the virus from mosquitoes in the area rather than while traveling overseas.

坦帕地区受到的冲击尤为严重。10月,佛罗里达州卫生部确认,希尔斯伯勒县仍在应对一场持续的登革热疫情。登革热可导致高烧、剧烈头痛和剧烈肌肉疼痛。严重病例可能引发危及生命的并发症。卫生官员继续敦促居民采取预防措施,防止蚊虫叮咬。

The Tampa area has been hit especially hard. In October, the Florida Department of Health confirmed that Hillsborough County was still responding to an ongoing dengue outbreak. Dengue can cause high fever, severe headaches and intense muscle pain. In serious cases, it can lead to life-threatening complications. Health officials continue to encourage residents to take precautions against mosquito bites.

Digitomy AI蚊子陷阱利用内置摄像头和人工智能,识别可能传播登革热等疾病的蚊子种类。(南佛罗里达大学)The Digitomy AI mosquito trap uses built-in cameras and artificial intelligence to identify mosquito species that can spread diseases like dengue. (University of South Florida)

11月13日,希尔斯伯勒县宣布将其地方紧急状态延长至11月19日,因为蚊虫控制小组加大了空中和地面喷洒力度,以帮助遏制疫情。县官员表示,蚊虫监测仍在该地区各社区检测到登革病毒活动。

On November 13, Hillsborough County announced that it had extended its state of local emergency through November 19 as mosquito control crews increased aerial and ground treatments to help contain the outbreak. County officials say mosquito surveillance continues to detect dengue virus activity in neighborhoods across the area.

之所以在11月谈论此事,原因如下。虽然蚊子已从全国较寒冷地区基本消失,但它们在较温暖的州份仍可能保持活跃。佛罗里达州的疫情表明,威胁不会仅仅因为夏天结束就消失。与此同时,新一代技术可能让社区在蚊虫数量失控前拥有更好的应对方式。

And here's why we're talking about this in November. While mosquitoes have largely disappeared from colder parts of the country, they can remain active in warmer states. Florida's outbreak shows that the threat doesn't disappear simply because summer is over. Meanwhile, a new generation of technology could give communities a better way to respond before mosquito populations get out of control.

这项技术来自Digitomy,这是一家由南佛罗里达大学研究人员创办的初创公司。副教授瑞安·卡尼和教授斯里拉姆·切拉潘通过可追溯至2018年的研究开发该系统。他们的目标是帮助蚊虫控制团队识别捕获的蚊子种类,而无需花费数天时间在显微镜下逐一检查。

The technology comes from Digitomy, a startup founded by researchers at the University of South Florida. Associate Professor Ryan Carney and Professor Sriram Chellappan have been developing the system through research dating back to 2018. Their goal is to help mosquito control teams identify the insects they're catching without spending days examining them under a microscope.

捕蚊装置本身外观相当简单。工作人员可将其挂在低矮树枝上或放置在地面上。灯光或诱饵吸引蚊子,一台小风扇将其吸入内部。昆虫落在粘性垫上后,两个内置摄像头会为其拍照。人工智能随后将这些图像与一个大型数据库比对,以判断捕获的是哪种蚊子。

The trap itself looks fairly straightforward. Workers can hang it from a low tree branch or place it on the ground. A light or bait attracts mosquitoes, and a small fan pulls them inside. Once the insects land on a sticky pad, two built-in cameras photograph them. Artificial intelligence then compares those images against a large database to determine which mosquito species have been captured.

但这项技术的功能不止于此。它还能识别蚊子的雌雄,以及是否近期吸过血。这些信息很有用,因为只有雌蚊叮咬人类并能传播疾病。研究人员表示,他们的系统在实验室测试中识别蚊子种类的准确率超过 98%。

But the technology goes further. It can also identify whether a mosquito is male or female and whether it has recently fed on blood. That's useful information because female mosquitoes bite people and can transmit diseases. The researchers say their system achieved more than 98% accuracy in identifying mosquito species during laboratory testing.

传统的蚊媒监测需要两到三天,因为专家通常需要在显微镜下检查捕获的昆虫。这项工作很有价值,但当卫生官员试图追踪疾病爆发时,等待数天会拖慢反应速度。Digitomy 希望大幅缩短这一过程。其系统利用人工智能和云计算,目标是当天就能识别出捕获的蚊子种类。这能帮助蚊媒防控团队了解潜在危险物种出现在何处,从而决定将防控力量集中在何处。

Traditional mosquito surveillance can take two to three days because specialists often need to examine captured insects under a microscope. That's valuable work, but when health officials are trying to track a disease outbreak, waiting several days can slow their response. Digitomy wants to shorten that process dramatically. Its system uses AI and cloud computing with the goal of identifying captured mosquito species the same day. That could help mosquito control teams see where potentially dangerous species are appearing and decide where to concentrate their efforts.

一名研究人员展示由智能陷阱收集的蚊子,该陷阱利用人工智能识别潜在危险蚊种的速度,远快于传统方法。(南佛罗里达大学)A researcher displays mosquitoes collected by the smart trap, which uses AI to identify potentially dangerous species much faster than traditional methods. (University of South Florida)

这一点对于埃及伊蚊尤为重要,这种蚊子是佛罗里达州传播登革热的主要媒介。全球约有 3500 种蚊子,但只有特定物种传播特定疾病。了解有哪些物种存在,有助于官员做出更好的决策。有一点需要明确:该诱捕器识别的是能够携带病原体的蚊子种类,并不能自动证明捕获的蚊子感染了登革热病毒。卫生官员仍需通过实验室检测来确认病毒是否存在。

This is especially important with Aedes aegypti, the mosquito species primarily responsible for spreading dengue in Florida. There are roughly 3,500 mosquito species worldwide, but only certain species spread particular diseases. Knowing which ones are present can help officials make better decisions. There's one important point to understand. The trap identifies mosquito species capable of carrying disease. It does not automatically prove that a captured mosquito is infected with dengue. Health officials would still need laboratory testing to confirm the presence of the virus.

我特别感兴趣的是陷阱识别出蚊子后会发生什么。Digitomy 可以将该信息发送到绘图仪表盘,让蚊媒防控团队看到特定物种出现的地点。目标是让蚊媒防控团队当天就能获取这些信息,帮助他们确定潜在危险物种出现的位置。想想在疫情爆发期间这会有多有用。如果多个陷阱开始在某个社区检测到更多埃及伊蚊,官员可以调查该区域并考虑采取针对性的蚊媒防控措施。他们不必等到更多人生病,而是可以利用监测数据来指导应对。

What I find particularly interesting is what happens after the trap identifies a mosquito. Digitomy can send that information to a mapping dashboard, allowing mosquito control teams to see where certain species are appearing. The goal is to give mosquito control teams access to that information the same day, helping them identify where potentially dangerous species are appearing. Think about how useful that could be during an outbreak. If several traps begin detecting more Aedes aegypti mosquitoes in one neighborhood, officials could investigate that area and consider targeted mosquito control measures. Instead of waiting for more people to become sick, they could use surveillance data to guide their response.

研究人员已经将陷阱信息整合到他们“全球蚊子观测仪表盘”的一个私有图层中。该系统还整合了超过 50 万份公民科学报告。思路是将自动化陷阱的信息与协助追踪蚊子的人们的观察结果结合起来。Digitomy 的技术还可以补充 Carney 开发的一个针对登革热和西尼罗河病毒的现有预警系统。这些工具结合起来,能让公共卫生部门更清晰地掌握各社区的蚊子活动情况。当然,早期发现蚊子并不保证能预防疫情爆发。但更快的信息能帮助官员更早做出反应,特别是在蚊媒防控资源有限的地区。

The researchers have already integrated trap information into a private layer of their Global Mosquito Observations Dashboard atThat system also incorporates more than half a million citizen science reports. The idea is to combine information from automated traps with observations from people who help track mosquitoes. Digitomy's technology could also complement an existing early warning system developed by Carney for dengue and West Nile virus. Together, these tools could give public health departments a clearer view of mosquito activity across communities. Of course, detecting mosquitoes early doesn't guarantee that an outbreak can be prevented. But faster information could help officials respond sooner, particularly in areas where mosquito control resources are limited.

Digitomy 已在南佛罗里达大学测试其技术,并与圣约翰斯县的阿纳斯塔西娅蚊虫控制区合作,该县包括圣奥古斯丁。研究人员还在为与希尔斯伯勒县的实地验证做准备,佛罗里达州的登革热疫情在那里尤为严重。这家初创公司正与南佛罗里达大学的技术转移办公室合作,将 AI 识别系统授权给成熟的蚊虫诱捕器制造商。这可能使这些公司能够将该技术添加到其现有生产的设备中。

Digitomy has already tested its technology at the University of South Florida and worked with the Anastasia Mosquito Control District in St. Johns County, which includes St. Augustine. The researchers are also preparing for field validation with Hillsborough County, where Florida's dengue outbreak has been especially severe. The startup is working with USF's Technology Transfer office to license the AI identification system to established mosquito trap manufacturers. That could allow companies to add the technology to equipment they already produce.

Digitomy 正致力于通过将其 AI 技术授权给成熟的蚊虫诱捕器制造商来实现商业化。目前,大学尚未宣布面向消费者的发布日期或零售价格。该公司还在 2026 年夏季获得了南佛罗里达大学研究基金会“牛环加速器”提供的 2.5 万美元资助。该资金旨在帮助加速大学开发技术的授权和商业化。团队还在开发一个在线教育平台,将允许蚊虫控制专业人员和公众利用图像和 AI 生成的反馈练习识别蚊虫种类。

Digitomy is working toward commercial availability by licensing its AI technology to established mosquito trap manufacturers. For now, the university has not announced a consumer launch date or retail price. The company also received a $25,000 grant from the USF Research Foundation's Bull Ring Accelerator during summer 2026. The funding is intended to help accelerate the licensing and commercialization of university-developed technology. The team is also developing an online education platform that would allow mosquito control professionals and the public to practice identifying mosquito species using images and AI-generated feedback.

研究人员在受控环境中测试人工智能驱动的蚊子陷阱,致力于改进蚊子监测,帮助社区更快应对疾病威胁。(南佛罗里达大学)Researchers test the AI-powered mosquito trap in a controlled environment as they work to improve mosquito surveillance and help communities respond faster to disease threats. (University of South Florida)

您可能短期内不会在自家后院挂上 Digitomy 诱捕器。但这并不意味着这项技术最终不会影响您的社区。如果蚊虫控制部门采用更智能的监测系统,它们可能能更早地识别危险蚊虫种群,并就干预地点做出更好的决策。尽管我们即将进入 11 月,但生活在较温暖地区的人们仍需关注蚊虫活动。如果您前往佛罗里达州或其他蚊虫仍保持活跃的地方,采取预防措施很重要。

You probably won't be hanging a Digitomy trap in your backyard anytime soon. But that doesn't mean this technology couldn't eventually affect your community. If mosquito control departments adopt smarter surveillance systems, they may be able to identify dangerous mosquito populations sooner and make better decisions about where to intervene. And even though we're heading into November, people living in warmer areas still need to pay attention to mosquito activity. If you're traveling to Florida or another place where mosquitoes remain active, taking precautions is important.

目前,最好的防护措施依然相当简单。清空花盆和其他户外容器中的积水,因为蚊子能在令人惊讶的极少量水中繁殖。在户外活动时使用经美国环保局(EPA)注册的驱虫剂。穿长袖和长裤也有助于减少皮肤暴露。我们介绍了一些有助于驱蚊的实用产品,包括驱虫剂和户外设备。

For now, the best protection is still fairly simple. Empty standing water from flowerpots and other outdoor containers because mosquitoes can breed in surprisingly small amounts of water. Use an EPA-registered insect repellent when spending time outdoors. Wearing long sleeves and pants can also help reduce exposed skin. We've covered some useful products that can help keep mosquitoes away, including repellents and outdoor gadgets.

您可以在 CyberGuy.com 的蚊虫和蜱虫驱避剂指南中找到它们。我认为这是 AI 能够真正改变人们生活的应用场景之一。我们大多数人把蚊子视为夏天令人讨厌的一部分。但佛罗里达州的登革热疫情提醒我们,这些微小的昆虫即使在年底也能引发严重的健康问题。Digitomy 让我感兴趣的是,它有可能在蚊媒防控团队仍有时间采取行动时,向他们提供信息。

You can find them in our guide to mosquito and tick repellents at CyberGuy.com I think this is one of those uses of AI that could make a real difference in people's lives. Most of us see mosquitoes as an annoying part of summer. But Florida's dengue outbreak is a reminder that these tiny insects can cause serious health problems, even late in the year. What interests me about Digitomy is the possibility of giving mosquito control teams information while they still have time to act.

这项技术看起来很有前景,尤其是据报道在实验室测试中准确率很高。但我希望先看看它在真实环境下的表现,然后再称其为突破。如果它能像研究人员期望的那样发挥作用,社区就能拥有一个宝贵的新工具,帮助保护人们免受蚊媒疾病的侵害。这是我支持的 AI 用途。

The technology looks promising, especially with its reported accuracy in laboratory testing. But I want to see how it performs in real-world conditions before calling it a breakthrough. If it works as researchers hope, communities could have a valuable new tool to help protect people from mosquito-borne diseases. And that's a use of AI I can get behind.

如果您所在的社区由 AI 驱动的蚊虫诱捕器进行监测,您会感觉更安全吗?

Would you feel safer knowing AI-powered mosquito traps were monitoring your neighborhood?

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