Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Real-time genomic surveillance for enhanced control of infectious diseases and antimicrobial resistance

作者:Marc Struelens, Catherine Ludden, Guido Werner, Vitali Sintchenko, Pikka Jokelainen, Margaret Ip · 发表于:Frontiers in Science · 年份:2024 · DOI:10.3389/fsci.2024.1298248 · 被引用次数:117 · 研究领域:SARS-CoV-2 detection and testing、Biosensors and Analytical Detection、Viral gastroenteritis research and epidemiology

This article advocates for mobilizing pathogen genomic surveillance to contain and mitigate health threats from infectious diseases and antimicrobial resistance (AMR), building upon successes achieved by large-scale genome sequencing analysis of SARS-CoV-2 variants in guiding COVID-19 monitoring and public health responses and adopting a One Health approach. Capabilities of laboratory-based surveillance and epidemic alert systems should be enhanced by fostering (i) universal access to real-time whole genome sequence (WGS) data of pathogens to inform clinical practice, infection control, public health policies, and vaccine and antimicrobial drug research and development; (ii) integration of diagnostic microbiology data, data from testing asymptomatic individuals, pathogen sequence data, clinical data, and epidemiological data into surveillance programs; (iii) stronger cross-sectorial collaborations between healthcare, public health, animal health, and environmental surveillance and research using One Health approaches, toward understanding the ecology and transmission pathways of pathogens and AMR across ecosystems; (iv) international collaboration and interconnection of surveillance networks, harmonization of laboratory methods, and standardization of surveillance methods for global reporting, including on pathogen genomic variant or strain nomenclature; (v) responsible data sharing between surveillance networks, databases, and platforms according to FAIR (findability, access...