R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates

Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Read, Jonathan M., Bridgen, Jessica R. E., Cummings, Derek A. T., Ho, Antonia, Jewell, Chris P.
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Read, Jonathan M.
Bridgen, Jessica R. E.
Cummings, Derek A. T.
Ho, Antonia
Jewell, Chris P.
description Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
doi_str_mv 10.6084/m9.figshare.14481978
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_6084_m9_figshare_14481978</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_6084_m9_figshare_14481978</sourcerecordid><originalsourceid>FETCH-LOGICAL-d918-fc4e34ca9bbfa833fbb246894597e7e77a43791e5e87d941225df6361947adc83</originalsourceid><addsrcrecordid>eNo1kMtqwzAQRb3poqT9gy5m2S7sWrZiS90V9xUIDYSQrRhLo1RgW0ZyCunv9Eeb0pq7GC7DGYaTJDcsz6pc8PteZtYd4gcGyhjngslaXCbfW9DeEFjXEUR_DJoMtKdzPxwDRdWjG9SII4VsCzb4Ht79J3VnKPgBP104RihyJtOh8Xu4bTb71VPK5N0DEIbuBBQn1-Pk_ADeAo3OUO985w9OYwcjBuxpohABBzOvNUT3RTNK8Sq5sNhFuv6fi2T38rxr3tL15nXVPK5TI5lIreZUco2ybS2KsrRtW_BKSL6UNZ1TIy9ryWhJojaSs6JYGluVFZO8RqNFuUj431mDE2o3kRrD-YFwUixXvwpVL9WsUM0Kyx_08W-I</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates</title><source>DataCite</source><creator>Read, Jonathan M. ; Bridgen, Jessica R. E. ; Cummings, Derek A. T. ; Ho, Antonia ; Jewell, Chris P.</creator><creatorcontrib>Read, Jonathan M. ; Bridgen, Jessica R. E. ; Cummings, Derek A. T. ; Ho, Antonia ; Jewell, Chris P.</creatorcontrib><description>Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.</description><identifier>DOI: 10.6084/m9.figshare.14481978</identifier><language>eng</language><publisher>The Royal Society</publisher><subject>Diseases ; Epidemiology ; FOS: Health sciences ; Health Care</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-9697-0962 ; 0000-0003-1465-3785</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.6084/m9.figshare.14481978$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Read, Jonathan M.</creatorcontrib><creatorcontrib>Bridgen, Jessica R. E.</creatorcontrib><creatorcontrib>Cummings, Derek A. T.</creatorcontrib><creatorcontrib>Ho, Antonia</creatorcontrib><creatorcontrib>Jewell, Chris P.</creatorcontrib><title>R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates</title><description>Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.</description><subject>Diseases</subject><subject>Epidemiology</subject><subject>FOS: Health sciences</subject><subject>Health Care</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2021</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNo1kMtqwzAQRb3poqT9gy5m2S7sWrZiS90V9xUIDYSQrRhLo1RgW0ZyCunv9Eeb0pq7GC7DGYaTJDcsz6pc8PteZtYd4gcGyhjngslaXCbfW9DeEFjXEUR_DJoMtKdzPxwDRdWjG9SII4VsCzb4Ht79J3VnKPgBP104RihyJtOh8Xu4bTb71VPK5N0DEIbuBBQn1-Pk_ADeAo3OUO985w9OYwcjBuxpohABBzOvNUT3RTNK8Sq5sNhFuv6fi2T38rxr3tL15nXVPK5TI5lIreZUco2ybS2KsrRtW_BKSL6UNZ1TIy9ryWhJojaSs6JYGluVFZO8RqNFuUj431mDE2o3kRrD-YFwUixXvwpVL9WsUM0Kyx_08W-I</recordid><startdate>20210426</startdate><enddate>20210426</enddate><creator>Read, Jonathan M.</creator><creator>Bridgen, Jessica R. E.</creator><creator>Cummings, Derek A. T.</creator><creator>Ho, Antonia</creator><creator>Jewell, Chris P.</creator><general>The Royal Society</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0002-9697-0962</orcidid><orcidid>https://orcid.org/0000-0003-1465-3785</orcidid></search><sort><creationdate>20210426</creationdate><title>R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates</title><author>Read, Jonathan M. ; Bridgen, Jessica R. E. ; Cummings, Derek A. T. ; Ho, Antonia ; Jewell, Chris P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d918-fc4e34ca9bbfa833fbb246894597e7e77a43791e5e87d941225df6361947adc83</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Diseases</topic><topic>Epidemiology</topic><topic>FOS: Health sciences</topic><topic>Health Care</topic><toplevel>online_resources</toplevel><creatorcontrib>Read, Jonathan M.</creatorcontrib><creatorcontrib>Bridgen, Jessica R. E.</creatorcontrib><creatorcontrib>Cummings, Derek A. T.</creatorcontrib><creatorcontrib>Ho, Antonia</creatorcontrib><creatorcontrib>Jewell, Chris P.</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Read, Jonathan M.</au><au>Bridgen, Jessica R. E.</au><au>Cummings, Derek A. T.</au><au>Ho, Antonia</au><au>Jewell, Chris P.</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates</title><date>2021-04-26</date><risdate>2021</risdate><abstract>Since it was first identified, the epidemic scale of the recently emerged novel coronavirus (2019-nCoV) in Wuhan, China, has increased rapidly, with cases arising across China and other countries and regions. Using a transmission model, we estimate a basic reproductive number of 3.11 (95% CI, 2.39–4.13), indicating that 58–76% of transmissions must be prevented to stop increasing. We also estimate a case ascertainment rate in Wuhan of 5.0% (95% CI, 3.6–7.4). The true size of the epidemic may be significantly greater than the published case counts suggest, with our model estimating 21 022 (prediction interval, 11 090–33 490) total infections in Wuhan between 1 and 22 January. We discuss our findings in the light of more recent information.This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.</abstract><pub>The Royal Society</pub><doi>10.6084/m9.figshare.14481978</doi><orcidid>https://orcid.org/0000-0002-9697-0962</orcidid><orcidid>https://orcid.org/0000-0003-1465-3785</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.6084/m9.figshare.14481978
ispartof
issn
language eng
recordid cdi_datacite_primary_10_6084_m9_figshare_14481978
source DataCite
subjects Diseases
Epidemiology
FOS: Health sciences
Health Care
title R code file sourced by figures_main_paper.R from Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T02%3A18%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Read,%20Jonathan%20M.&rft.date=2021-04-26&rft_id=info:doi/10.6084/m9.figshare.14481978&rft_dat=%3Cdatacite_PQ8%3E10_6084_m9_figshare_14481978%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true