Newton001 A Software Infrastructure for Promoting Efficient Entomological Monitoring of Dengue Fever

Newton001 用于促进登革热高效昆虫学监测的软件基础设施

• 批准号: MR/M026388/1
• 负责人: Alexander Romanovsky
• 金额: $ 8.44万
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FM026388%2F1
• 关键词: Newton001; Software; Infrastructure; Promoting; Efficient

The activities primarily aim at reducing problems of poverty by improving the health of Brazilian communities. The development of an advanced and dependable data analytics infrastructure will enable the effective and efficient monitoring of Dengue fever outbreaks in Brazil. Dengue is an endemic problem in many Brazilian areas where public health assistance is inefficient. The Brazilian public health system cannot meet the demands of these areas due to the resources scarcity, which calls for developing trustworthy mechanisms to support efficiently decisions about the areas that have priority on resource allocation. This software infrastructure can be reused in the future in other developing countries suffering from Dengue outbreaks. The monitoring infrastructure will provide its data analytics capabilities through a unique software architecture that can be used through several mobile platforms and social networks. This infrastructure can only be developed through collaborative research with the leading UK researchers.

这些活动的主要目的是通过改善巴西社区的健康状况来减少贫困问题。开发先进和可靠的数据分析基础设施将使巴西能够有效和高效地监测登革热疫情。登革热是巴西许多公共卫生援助效率低下地区的地方病。由于资源稀缺，巴西的公共卫生系统无法满足这些地区的需求，这就要求建立可靠的机制，以有效支持有关优先分配资源的地区的决定。这一软件基础设施今后可在其他爆发登革热的发展中国家重复使用。监测基础设施将通过一个独特的软件架构提供数据分析能力，该架构可通过若干移动的平台和社交网络使用。这一基础设施只能通过与英国领先研究人员的合作研究来开发。

项目成果

From Twitter analytics to user engagement: a case study on Zika epidemics in Brazil. School of Computing Science. Newcastle University. UK. BSc dissertation

从 Twitter 分析到用户参与度：巴西寨卡疫情案例研究。

• 发表时间: 2017
• 作者: Callum McClean

Architecting Holistic Fault Tolerance

构建整体容错能力

• DOI: 10.1109/hase.2017.13
• 发表时间: 2017
• 作者: Gensh R

16th International Conference on Information Technology-New Generations (ITNG 2019)

第16届新一代信息技术国际会议(ITNG 2019)

• DOI: 10.1007/978-3-030-14070-0_89
• 发表时间: 2019
• 作者: Fernandes E

On structuring holistic fault tolerance

论构建整体容错能力

• DOI: 10.1145/2889443.2889458
• 发表时间: 2016
• 作者: Gensh R

User ranking in sparse topic-specific social media data sets. School of Computing Science. Newcastle University. UK. MSc dissertation

稀疏的特定主题社交媒体数据集中的用户排名。

• 发表时间: 2017
• 作者: Jonathan Carlton