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Eco-Epidemiological Intelligence for early Warning and response to mosquito-borne disease risk in Endemic and Emergence settings (E4WARNING)

Eco-Epidemiological Intelligence for early Warning and response to mosquito-borne disease risk in Endemic and Emergence settings (E4WARNING)
地方病和突发环境中蚊媒疾病风险早期预警和应对的生态流行病学情报(E4WARNING)
批准号:
10042114
负责人:
金额:
$27.4万
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
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
蚊媒疾病给社会带来了沉重的负担,造成了广泛的痛苦,并导致了贫困。它们的流行率、地理分布和严重程度都在增加,在世界范围内构成了日益严重的威胁。因此,需要更好的疾病情报,能够预测和确定导致暴发流行病和以前未受影响地区出现的生态流行病风险。这种智能的基础源于对推动疾病传播、出现和传播的因素的深刻理解。这需要洞察人类、携带病原体的蚊子、病原体储藏者(例如鸟类)和不断变化的环境之间的复杂相互作用。E4Warning联盟汇集了跨学科、创新和开放的科学,以促进One Health范式的转变,这是应对人畜共患致命病原体传播和传播所必需的,并利用这一转变,在不断变化和全球互联的环境中立即预测和预测蚊子传播的疾病风险。我们的工作旨在通过由公共卫生管理部门共同设计和实施的创新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。开放式创新战略和大数据工具是面对日益增长的蚊媒疾病威胁所需的下一级健康预警系统的基石。
英文摘要
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.
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