RFA-GH-23-003, THAI-GER: THAIland Genomic surveillance of Emerging infectious diseases facilitating Rapid response

RFA-GH-23-003，THAI-GER：泰国对新发传染病的基因组监测促进快速反应

• 批准号: 10808039
• 负责人: Navin Horthongkham
• 金额: $ 39.97万
• 依托单位: MAHIDOL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-30 至 2028-09-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10808039
• 关键词: RFA; GH; 23; 003; THAI

Abstract/Project summary: Emerging infectious diseases (EIDs) and re-emerging infectious diseases (REIDs) can spread quickly among immunologically naïve populations, triggering epidemics or pandemics. Antimicrobial resistance (AMR) is another public health issue responsible for numerous fatalities and economic losses. The government-associated infectious disease laboratories in Thailand are structured in a centralized manner whereby samples are first collected by community hospitals and then transferred to regional and central laboratories for testing and analysis. While this approach is effective in managing seasonal diseases and small epidemics, it can cause delays in detecting and controlling diseases during larger outbreaks. Apart from specific and sensitive laboratory-based tools to manage EIDs, communities need field-deployable, simple technologies which can be used for EID surveillance. Surveillance systems play a critical role in monitoring and predicting outbreaks of infectious diseases. To enhance surveillance capabilities, it is necessary to develop simple but high sensitivity and specificity laboratory tools that can identify EIDs, REIDs and antimicrobial resistance capabilities in both central and local laboratories, including bioinformatic pipelines, microbial genomic databases, and laboratory management systems. The development of genetic analysis platforms will help facilitate the analysis of pathogen genomes, particularly when dealing with a large volume of data. To enhance the ability of government agencies and local communities to detect, monitor, and surveillance EIDs (respiratory viruses, arboviruses, bacterial STIs, and nosocomial bacterial pathogens) and AMR, we propose the development of coordinated, multi-level tools and systems. These tools and systems will facilitate early detection and rapid response to EIDs

摘要/项目摘要： 新发传染病（EID）和再发传染病（REID）可以 在免疫学幼稚人群中迅速传播，引发流行病或大流行。 抗生素耐药性（AMR）是另一个导致众多死亡的公共卫生问题 和经济损失。泰国与政府有关的传染病实验室是 以集中的方式组织，即首先由社区医院采集样本 然后转移到区域和中心实验室进行检测和分析。虽然这 虽然这种方法在管理季节性疾病和小规模流行病方面是有效的，但它可能会导致 在更大规模的疫情爆发期间检测和控制疾病。除了具体和敏感的 基于实验室的工具来管理EID，社区需要可现场部署的简单技术 可用于EID监视。监测系统在监测和 预测传染病的爆发为了加强监视能力， 开发简单但高灵敏度和特异性的实验室工具， 以及中央和地方实验室的抗菌素耐药性能力，包括 生物信息学管道、微生物基因组数据库和实验室管理系统。的 遗传分析平台的发展将有助于促进病原体基因组的分析， 特别是在处理大量数据时。提高政府能力 机构和当地社区检测，监测和监视EID（呼吸道病毒， 虫媒病毒、细菌性STI和医院内细菌病原体）和AMR，我们提出 开发协调的多层次工具和系统。这些工具和系统将有助于 早期发现和快速应对EID