Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2 (eBook)

Modernizing Pandemic Response Strategies

Board on Health Sciences Policy, Board on Life Sciences, Committee on Data Needs to Monitor the Evolution of SARS-CoV-2, Division on Earth and Life Studies, Health and Medicine Division, and Medicine National Academies of Sciences Engineering (Autoren)

eBook Download: EPUB

2020
110 Seiten
National Academies Press (Verlag)
978-0-309-68094-3 (ISBN)

Infos

In December 2019, new cases of severe pneumonia were first detected in Wuhan, China, and the cause was determined to be a novel beta coronavirus related to the severe acute respiratory syndrome (SARS) coronavirus that emerged from a bat reservoir in 2002. Within six months, this new virusSARS coronavirus 2 (SARS-CoV-2)has spread worldwide, infecting at least 10 million people with an estimated 500,000 deaths. COVID-19, the disease caused by SARS-CoV-2, was declared a public health emergency of international concern on January 30, 2020 by the World Health Organization (WHO) and a pandemic on March 11, 2020. To date, there is no approved effective treatment or vaccine for COVID-19, and it continues to spread in many countries.Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2: Modernizing Pandemic Response Strategies lays out a framework to define and describe the data needs for a system to track and correlate viral genome sequences with clinical and epidemiological data. Such a system would help ensure the integration of data on viral evolution with detection, diagnostic, and countermeasure efforts. This report also explores data collection mechanisms to ensure a representative global sample set of all relevant extant sequences and considers challenges and opportunities for coordination across existing domestic, global, and regional data sources.

Produkt-Details

• Erscheint lt. Verlag: 29.9.2020
• Sprache: englisch
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete ► Notfallmedizin
• Themenwelt: Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
• Themenwelt: Studium ► Querschnittsbereiche ► Infektiologie / Immunologie
• ISBN-10: 0-309-68094-8 / 0309680948
• ISBN-13: 978-0-309-68094-3 / 9780309680943