EAGER: Citizen Science Software Development for Geographical Distribution of Mosquito-borne Disease

EAGER：针对蚊媒疾病地理分布的公民科学软件开发

• 批准号: 1645154
• 负责人: Rebecca Boger
• 金额: $ 6.22万
• 依托单位: CUNY Graduate School University Center
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1645154&HistoricalAwards=false
• 关键词: EAGER; Citizen; Science; Software; Development

1645154/1644892Boger/LowThe most recent occurrence of a mosquito borne disease moving into the US is the Zika virus. This project will make a significant contribution in developing and accessing optical recognition software for mosquito larvae of Aedes aegypti, the carrier of Zika virus. The project, focuses on optical recognition software from photos of mosquito larvae taken by citizen scientists. The successful application of identifying Aedes aegypti larvae will be useful for public health professionals and others assessing the spread of the mosquito in the southern United States.The primary goal of this work is to develop optical recognition software that identifies mosquito larvae in images submitted by citizen scientists participating in the GLOBE Observer. Citizen scientists will use an app available on smartphones or tablets through which they will submit larvae imagery and other environmental data. After reduction, the image will be processed on a server. If the query shows high accuracy, the result is sent to the GLOBE database. If inconclusive, the application will request the mobile device to send the original image for human identification through crowdsourcing or expert validation. Since the amount of data might require excessive computation and storage, the project will use Big Data tools and algorithms, e.g., MapReduce, to analyze the data. A secondary goal is to jumpstart a national campaign using citizen science to collect baseline data on the spread of Aedes aegypti and A. albopictus, the two species that transmit Zika, which may not otherwise be collected by public health agencies. Additionally, this project will serve as a responsive development laboratory to inform the ongoing development of GLOBE?s capabilities as a national, adult-focused citizen science program, while testing and refining mobile apps, map interfaces, and citizen science engagement and retention strategies in two pilot regions, the Gulf Coast and New York City, both identified by the Center for Disease Control as at high risk for Zika transmission and outbreaks in summer 2016. THE CROWD & THE CLOUD (C&C), an NSF-supported DRL/AISL project, will document the process of the work on film, and share videos and social media posts throughout the pilot phase. C&C will also include a video segment in its national public television premiere in Spring 2017.

1645154/1644892Boger/Low 最近出现的进入美国的蚊媒疾病是寨卡病毒。该项目将为开发和获取针对寨卡病毒携带者埃及伊蚊幼虫的光学识别软件做出重大贡献。该项目的重点是利用公民科学家拍摄的蚊子幼虫照片的光学识别软件。识别埃及伊蚊幼虫的成功应用将对公共卫生专业人员和其他评估美国南部蚊子传播的人员有用。这项工作的主要目标是开发光学识别软件，识别公民提交的图像中的蚊子幼虫参与 GLOBE Observer 的科学家。公民科学家将使用智能手机或平板电脑上的应用程序，通过该应用程序提交幼虫图像和其他环境数据。缩小后的图像将在服务器上进行处理。如果查询显示高精度，结果将发送到 GLOBE 数据库。如果没有结论，应用程序将请求移动设备发送原始图像，通过众包或专家验证进行人体识别。由于数据量可能需要过多的计算和存储，因此该项目将使用大数据工具和算法（例如MapReduce）来分析数据。第二个目标是利用公民科学来启动一项全国性运动，收集关于埃及伊蚊和白纹伊蚊传播的基线数据，这两种传播寨卡病毒的物种，公共卫生机构可能无法以其他方式收集这些数据。此外，该项目将作为一个响应式开发实验室，为 GLOBE 作为国家级、以成人为中心的公民科学计划的能力的持续发展提供信息，同时测试和完善移动应用程序、地图界面以及公民科学参与和保留策略墨西哥湾沿岸和纽约市这两个试点地区均被疾病控制中心确定为 2016 年夏季寨卡病毒传播和爆发的高风险地区。THE CROWD & THE CLOUD (C&C) 是 NSF 支持的项目DRL/AISL 项目将记录电影工作的过程，并在整个试点阶段分享视频和社交媒体帖子。 《C&C》还将在 2017 年春季的全国公共电视首播中包含一个视频片段。