E4WARNING: ECO-EPIDEMIOLOGICAL INTELLIGENCE FOR EARLY WARNING AND RESPONSE TO MOSQUITO-BORNE DISEASE RISK IN ENDEMIC AND EMERGENCE SETTINGS

E4WARNING：流行病和紧急情况下蚊媒疾病风险预警和应对的生态流行病学情报

• 批准号: 10066422
• 金额: $ 27.25万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10066422
• 关键词: E4WARNING; ECO; EPIDEMIOLOGICAL; INTELLIGENCE; EARLY

Mosquito-borne diseases place a heavy burden on society, causing widespread suffering and driving poverty. They are increasing in prevalence, geographical distribution and severity, representing a growing threat worldwide. Hence, there is a need for better disease intelligence, capable of anticipating and identifying eco-epidemiological risks leading to explosive epidemics and emergence in previously unaffected areas. The basis of such intelligence stems from a deep understanding of the factors that drive disease circulation, emergence and spread. This requires insights into the complex interplay between humans, pathogen-carrying mosquitoes, pathogen reservoirs (e.g. birds), and a changing environment. The E4Warning consortium brings together interdisciplinary, innovative, and open science to contribute to the One Health paradigm shift that is required to tackle the spread and transmission of zoonotic deadly pathogens, and harness this shift to nowcast and forecast mosquito-borne disease risk in a constantly changing and globally connected environment. Our work aims to disrupt disease transmission pathways connecting humans, mosquitoes, and birds through innovative eco-epidemiological modelling tools and intelligent digital solutions, co-designed and implemented by public health administrations. Open innovation strategies and big data tools are the cornerstone of the next-level One Health Early Warning Systems required in the face of mounting mosquito-borne disease threats.

蚊子传播的疾病给社会带来沉重负担，造成广泛痛苦并导致贫穷。它们的流行率、地理分布和严重程度都在增加，在全世界构成越来越大的威胁。因此，需要更好的疾病情报，能够预测和确定导致爆发性流行病和在以前未受影响的地区出现的生态流行病风险。这种智慧的基础源于对疾病传播、出现和传播的驱动因素的深刻理解。这需要深入了解人类、携带病原体的蚊子、病原体储存库（例如鸟类）和不断变化的环境之间复杂的相互作用。E4Warning联盟汇集了跨学科，创新和开放的科学，为解决人畜共患致命病原体的传播和传播所需的One Health范式转变做出贡献，并利用这种转变来在不断变化和全球互联的环境中进行即时预报和预测蚊媒疾病风险。我们的工作旨在通过创新的生态流行病学建模工具和智能数字解决方案来破坏连接人类，蚊子和鸟类的疾病传播途径，这些工具和解决方案由公共卫生部门共同设计和实施。开放式创新战略和大数据工具是面对日益严重的蚊媒疾病威胁所需的下一级“一个健康预警系统”的基石。