Hidden Bibliographic Details
| Other authors / contributors: | National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Life Sciences, issuing body.
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| ISBN: | 9780309680912
0309680913
9780309680929
0309680921
9780309680943
0309680948
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| Notes: | Includes bibliographical references.
This activity was supported by a contract between the National Academy of Sciences and the U.S. Department of Health and Human Services' Office of the Assistant Secretary for Preparedness and Response (75A50120G00002). Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.
Description based on online resource; title from PDF title page (viewed Jan. 15, 2021).
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| Summary: | 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 virus--SARS 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.
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| Other form: | Print version: Genomic epidemiology data infrastructure needs for SARS-CoV-2. Washington, DC : The National Academies Press, [2020] 0309680913 9780309680912
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