Genomic epidemiology data infrastructure needs for SARS-CoV-2 : modernizing pandemic response strategies /
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| Corporate author / creator: | National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Data Needs to Monitor Evolution of SARS-CoV-2, author. |
|---|---|
| Imprint: | Washington, DC : The National Academies Press, [2020] |
| Description: | 1 online resource (xiv, 96 pages) : illustrations |
| Language: | English |
| Series: | Consensus study report Consensus study report. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12873184 |
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| 110 | 2 | |a National Academies of Sciences, Engineering, and Medicine (U.S.). |b Committee on Data Needs to Monitor Evolution of SARS-CoV-2, |e author. |0 http://id.loc.gov/authorities/names/n2021180166 | |
| 245 | 1 | 0 | |a Genomic epidemiology data infrastructure needs for SARS-CoV-2 : |b modernizing pandemic response strategies / |c Committee on Data Needs to Monitor Evolution of SARS-CoV-2, Board on Health Sciences Policy, Health and Medicine Division, Board on Life Sciences, Division on Earth and Life Studies ; a consensus study report of The National Academies of Sciences, Engineering, Medicine. |
| 264 | 1 | |a Washington, DC : |b The National Academies Press, |c [2020] | |
| 300 | |a 1 online resource (xiv, 96 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Consensus study report | |
| 504 | |a Includes bibliographical references. | ||
| 520 | 3 | |a 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. | |
| 536 | |a 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. | ||
| 588 | |a Description based on online resource; title from PDF title page (viewed Jan. 15, 2021). | ||
| 505 | 0 | |a 1. Introduction -- 2. Application of Genomic Epidemiology in Previous Infectious Disease Outbreaks -- 3. Current Genomic Epidemiology Efforts Related to SARS-CoV-2 -- 4. Framework to Track and Correlate Viral Genome Sequences with Clinical and Epidemiological Data -- 5. Governance and Regulatory Considerations -- Appendix A: Committee Biosketches -- Appendix B: Public Committee Meeting Agendas | |
| 650 | 0 | |a COVID-19 (Disease) |x Epidemiology. | |
| 650 | 1 | 2 | |a SARS-CoV-2 |x genetics. |
| 650 | 1 | 2 | |a SARS-CoV-2 |x pathogenicity. |0 https://id.nlm.nih.gov/mesh/D000086402Q000472 |
| 650 | 2 | 2 | |a COVID-19 |x epidemiology. |
| 650 | 2 | 2 | |a COVID-19 |x prevention & control. |
| 650 | 2 | 2 | |a Data Collection. |
| 651 | 2 | |a United States. |0 https://id.nlm.nih.gov/mesh/D014481 | |
| 650 | 7 | |a COVID-19 (Disease) |x Epidemiology. |2 fast |0 (OCoLC)fst01984647 | |
| 655 | 0 | |a Electronic books. | |
| 655 | 4 | |a Electronic books. | |
| 710 | 2 | |a National Academies of Sciences, Engineering, and Medicine (U.S.). |b Board on Life Sciences, |e issuing body. |0 http://id.loc.gov/authorities/names/n2016187772 | |
| 776 | 0 | 8 | |i Print version: |t Genomic epidemiology data infrastructure needs for SARS-CoV-2. |d Washington, DC : The National Academies Press, [2020] |z 0309680913 |z 9780309680912 |w (OCoLC)1192309247 |
| 830 | 0 | |a Consensus study report. |0 http://id.loc.gov/authorities/names/n2017188206 | |
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