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

1645154/1644892博格/低最近发生的蚊子传播的疾病进入美国是寨卡病毒。该项目将为开发和访问寨卡病毒携带者埃及伊蚊的蚊子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进行光学识别软件。埃及伊蚊幼虫识别的成功应用将有助于公共卫生专业人员和其他人评估蚊子在美国南部的传播，这项工作的主要目标是开发光学识别软件，识别参与地球仪Observer的公民科学家提交的图像中的蚊子幼虫。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。还原后，图像将在服务器上进行处理。如果查询显示出很高的准确性，则将结果发送到地球仪数据库。如果不确定，则应用程序将请求移动终端发送原始图像以通过众包或专家验证进行人类识别。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的运动，收集埃及伊蚊和A。白纹伊蚊是传播寨卡病毒的两个物种，公共卫生机构可能不会收集它们。此外，该项目将作为一个响应式开发实验室，为正在进行的地球仪？作为一个全国性的、以成年人为重点的公民科学计划，同时在两个试点地区（墨西哥湾沿岸和纽约市）测试和改进移动的应用程序、地图界面以及公民科学参与和保留策略，这两个地区都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映式上包括一个视频片段。

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.