Mosquito Alert Dataset

The Mosquito Alert dataset includes occurrence records of adult mosquitoes. The records were collected through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Each record presented in the database is linked to a photograph submitted by a citizen scientist and validated by entomological experts to determine if it provides evidence of the presence of any of five targeted mosquito vectors of top concern in Europe (i.e. Aedes albopictus, Aedes aegypti, Aedes japonicus, Aedes koreicus, Culex pipiens). The temporal coverage of the database is from 2014 through 2022 and the spatial coverage is worldwide. Most of the records from 2014 to 2020 are from Spain, reflecting the fact that the project was funded by Spanish national and regional funding agencies. Since autumn 2020 the data has expanded to include substantial records from other countries in Europe, particularly the Netherlands, Italy, and Hungary, thanks to a human volunteering network of entomologists coordinated by the AIM-COST Action and to technological developments through the VEO project to increase scalability. Among many possible applications, Mosquito Alert dataset facilitates the development of citizen-based early warning systems for mosquito-borne disease risk. This dataset can be further re-used for modelling vector exposure risk or training machine-learning detection and classification routines on the linked images, to help experts in data validation and build up automated alert systems.

蚊子警报（Mosquito Alert）数据集收录了成年蚊虫的出现记录。该数据集的记录通过蚊子警报平台收集，该平台是一套用于调查和管控病媒蚊虫的公民科学系统。数据库中的每一条记录均关联由公民科学家提交的照片，并经昆虫学专家核验，以确认该照片是否能证明欧洲五大重点关注蚊媒病媒的存在，分别为白纹伊蚊（Aedes albopictus）、埃及伊蚊（Aedes aegypti）、日本伊蚊（Aedes japonicus）、朝鲜伊蚊（Aedes koreicus）以及尖音库蚊（Culex pipiens）。该数据集的时间覆盖范围为2014年至2022年，空间覆盖范围为全球。2014年至2020年的多数记录源自西班牙，这源于该项目最初由西班牙国家及地方资助机构提供经费支持。自2020年秋季起，得益于由AIM-COST行动协调的昆虫学家志愿者网络，以及VEO项目为提升系统可扩展性所实现的技术升级，该数据集的记录已扩展至包含欧洲其他国家的大量数据，尤以荷兰、意大利及匈牙利为主。在诸多潜在应用场景中，蚊子警报数据集可助力构建基于公民参与的蚊媒病传播风险早期预警系统。该数据集还可被进一步复用，用于构建病媒接触风险模型，或基于关联照片训练机器学习检测与分类模型，以辅助专家完成数据核验，并助力构建自动化预警系统。

搜集汇总

背景与挑战

背景概述

Mosquito Alert Dataset是一个基于公民科学的蚊子出现记录数据集，包含37,828条记录，时间跨度为2014年至2022年，地理覆盖全球但以欧洲（尤其是西班牙、荷兰、意大利和匈牙利）为主。数据通过移动应用程序收集，由昆虫学专家验证，针对五种主要疾病传播蚊子载体（如白纹伊蚊、埃及伊蚊等），并附带图像，可用于早期预警系统、风险建模和机器学习训练。