Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling
COVID-19 Cases, Demographics, Daily Cases, Growth Rates, and Estimated Underreporting up to March 9, 2020 Country by No. of Confirmed Cases Total COVID-19 Cases Total Deaths Population Density (2020), km–2 Urban Population, (2020), % Date Range of Daily New Cases up to the First Peak Range of Daily...
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description | COVID-19 Cases, Demographics, Daily Cases, Growth Rates, and Estimated Underreporting up to March 9, 2020 Country by No. of Confirmed Cases Total COVID-19 Cases Total Deaths Population Density (2020), km–2 Urban Population, (2020), % Date Range of Daily New Cases up to the First Peak Range of Daily New Cases up to the First Peak Population Aged 0–14 y (2018), % Population Aged 15–65 y (2018), % Population Aged ≥65 y (2018), % Model-Based Underreported & Underdiagnosed up to March 9, 2020 No. of People Reported to the No. Infected China 80,761 3,136 153 61 Jan 22–Feb 4 259–3,884 17.9 71.2 10.9 12.03–89.2 million 1 in 149 to 1 in 1,104 Italy 10,149 631 206 69 Feb 22–Mar 9 58–1,797 13.3 64.0 22.7 30,223 1 in 4 reported Iran 8,042 291 52 76 Feb 21–Mar 6 13–1,234 24.5 69.3 6.2 266,213 1 in 34 reported South Korea 7,513 58 527 82 Feb 23–Mar 3 27–851 13.0 72.6 14.4 18,809 1 in 4 reported France 1,784 33 119 82 Feb 27–Mar 7 20–296 18.0 62.0 20.0 7,931 1 in 5 reported Spain 1,690 35 94 80 Feb 27–Mar 9 12–557 14.7 66.0 19.3 87,405 1 in 53 reported Germany 1,458 2 240 76 Feb 27–Mar 5 22–283 13.6 65.0 21.4 2,277 1 in 3 reported United States 874 28 36 83 Mar 2–Mar 12 25–1,652 18.7 65.5 15.8 1.21 million (insufficient data) 1 in 406 reported (insufficient data) According to Situational Report 49, released by the World Health Organization (WHO) on March 9, 2020,1 there had been 109,000 cases of COVID-19 and 3,800 related deaths worldwide. [...]we are proposing to use our methods, which we have been developing in recent years, to provide model-based estimates of underreporting for COVID-19 within a few weeks. Data, Methods, and Models We collected COVID-19 and population data for each country from the World Health Organization (WHO),1 Worldometer,2 and World Bank10 sources. |
doi_str_mv | 10.1017/ice.2020.116 |
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[...]we are proposing to use our methods, which we have been developing in recent years, to provide model-based estimates of underreporting for COVID-19 within a few weeks. Data, Methods, and Models We collected COVID-19 and population data for each country from the World Health Organization (WHO),1 Worldometer,2 and World Bank10 sources.</description><identifier>ISSN: 0899-823X</identifier><identifier>ISSN: 1559-6834</identifier><identifier>EISSN: 1559-6834</identifier><identifier>DOI: 10.1017/ice.2020.116</identifier><identifier>PMID: 32268929</identifier><language>eng</language><publisher>United States: Cambridge University Press</publisher><subject>Adolescent ; Adult ; Age groups ; Aged ; Betacoronavirus ; China - epidemiology ; Coronavirus Infections - diagnosis ; Coronavirus Infections - epidemiology ; COVID-19 ; Disease control ; Disease transmission ; Epidemics ; Estimates ; Fatalities ; France - epidemiology ; Germany - epidemiology ; Harmonic analysis ; Humans ; Iran - epidemiology ; Italy - epidemiology ; Middle Aged ; Models, Statistical ; Pandemics ; Pandemics - statistics & numerical data ; Pneumonia, Viral - diagnosis ; Pneumonia, Viral - epidemiology ; Population ; Population density ; Republic of Korea - epidemiology ; Research Brief ; Retrospective Studies ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Spain - epidemiology ; Urban populations ; Wavelet Analysis ; Young Adult</subject><ispartof>Infection control and hospital epidemiology, 2020-07, Vol.41 (7), p.857-859</ispartof><rights>2020 by The Society for Healthcare Epidemiology of America. All rights reserved. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Society for Healthcare Epidemiology of America 2020 2020 The Society for Healthcare Epidemiology of America</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c586t-f8e0120241edbabd8536ee519558d47ebd2de027e9b578d64cbb1d8e9952f7653</citedby><cites>FETCH-LOGICAL-c586t-f8e0120241edbabd8536ee519558d47ebd2de027e9b578d64cbb1d8e9952f7653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2774934542/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2774934542?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,776,780,881,21367,27901,27902,33721,33722,43781,74045</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32268929$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Krantz, Steven G</creatorcontrib><creatorcontrib>Rao, Arni S R Srinivasa</creatorcontrib><title>Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling</title><title>Infection control and hospital epidemiology</title><addtitle>Infect Control Hosp Epidemiol</addtitle><description>COVID-19 Cases, Demographics, Daily Cases, Growth Rates, and Estimated Underreporting up to March 9, 2020 Country by No. of Confirmed Cases Total COVID-19 Cases Total Deaths Population Density (2020), km–2 Urban Population, (2020), % Date Range of Daily New Cases up to the First Peak Range of Daily New Cases up to the First Peak Population Aged 0–14 y (2018), % Population Aged 15–65 y (2018), % Population Aged ≥65 y (2018), % Model-Based Underreported & Underdiagnosed up to March 9, 2020 No. of People Reported to the No. Infected China 80,761 3,136 153 61 Jan 22–Feb 4 259–3,884 17.9 71.2 10.9 12.03–89.2 million 1 in 149 to 1 in 1,104 Italy 10,149 631 206 69 Feb 22–Mar 9 58–1,797 13.3 64.0 22.7 30,223 1 in 4 reported Iran 8,042 291 52 76 Feb 21–Mar 6 13–1,234 24.5 69.3 6.2 266,213 1 in 34 reported South Korea 7,513 58 527 82 Feb 23–Mar 3 27–851 13.0 72.6 14.4 18,809 1 in 4 reported France 1,784 33 119 82 Feb 27–Mar 7 20–296 18.0 62.0 20.0 7,931 1 in 5 reported Spain 1,690 35 94 80 Feb 27–Mar 9 12–557 14.7 66.0 19.3 87,405 1 in 53 reported Germany 1,458 2 240 76 Feb 27–Mar 5 22–283 13.6 65.0 21.4 2,277 1 in 3 reported United States 874 28 36 83 Mar 2–Mar 12 25–1,652 18.7 65.5 15.8 1.21 million (insufficient data) 1 in 406 reported (insufficient data) According to Situational Report 49, released by the World Health Organization (WHO) on March 9, 2020,1 there had been 109,000 cases of COVID-19 and 3,800 related deaths worldwide. [...]we are proposing to use our methods, which we have been developing in recent years, to provide model-based estimates of underreporting for COVID-19 within a few weeks. 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epidemiology</topic><topic>Coronavirus Infections - diagnosis</topic><topic>Coronavirus Infections - epidemiology</topic><topic>COVID-19</topic><topic>Disease control</topic><topic>Disease transmission</topic><topic>Epidemics</topic><topic>Estimates</topic><topic>Fatalities</topic><topic>France - epidemiology</topic><topic>Germany - epidemiology</topic><topic>Harmonic analysis</topic><topic>Humans</topic><topic>Iran - epidemiology</topic><topic>Italy - epidemiology</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Pandemics</topic><topic>Pandemics - statistics & numerical data</topic><topic>Pneumonia, Viral - diagnosis</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Population</topic><topic>Population density</topic><topic>Republic of Korea - epidemiology</topic><topic>Research Brief</topic><topic>Retrospective Studies</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Spain - epidemiology</topic><topic>Urban populations</topic><topic>Wavelet Analysis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krantz, Steven G</creatorcontrib><creatorcontrib>Rao, Arni S R Srinivasa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Infection control and hospital epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Krantz, Steven G</au><au>Rao, Arni S R Srinivasa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling</atitle><jtitle>Infection control and hospital epidemiology</jtitle><addtitle>Infect Control Hosp Epidemiol</addtitle><date>2020-07-01</date><risdate>2020</risdate><volume>41</volume><issue>7</issue><spage>857</spage><epage>859</epage><pages>857-859</pages><issn>0899-823X</issn><issn>1559-6834</issn><eissn>1559-6834</eissn><abstract>COVID-19 Cases, Demographics, Daily Cases, Growth Rates, and Estimated Underreporting up to March 9, 2020 Country by No. of Confirmed Cases Total COVID-19 Cases Total Deaths Population Density (2020), km–2 Urban Population, (2020), % Date Range of Daily New Cases up to the First Peak Range of Daily New Cases up to the First Peak Population Aged 0–14 y (2018), % Population Aged 15–65 y (2018), % Population Aged ≥65 y (2018), % Model-Based Underreported & Underdiagnosed up to March 9, 2020 No. of People Reported to the No. Infected China 80,761 3,136 153 61 Jan 22–Feb 4 259–3,884 17.9 71.2 10.9 12.03–89.2 million 1 in 149 to 1 in 1,104 Italy 10,149 631 206 69 Feb 22–Mar 9 58–1,797 13.3 64.0 22.7 30,223 1 in 4 reported Iran 8,042 291 52 76 Feb 21–Mar 6 13–1,234 24.5 69.3 6.2 266,213 1 in 34 reported South Korea 7,513 58 527 82 Feb 23–Mar 3 27–851 13.0 72.6 14.4 18,809 1 in 4 reported France 1,784 33 119 82 Feb 27–Mar 7 20–296 18.0 62.0 20.0 7,931 1 in 5 reported Spain 1,690 35 94 80 Feb 27–Mar 9 12–557 14.7 66.0 19.3 87,405 1 in 53 reported Germany 1,458 2 240 76 Feb 27–Mar 5 22–283 13.6 65.0 21.4 2,277 1 in 3 reported United States 874 28 36 83 Mar 2–Mar 12 25–1,652 18.7 65.5 15.8 1.21 million (insufficient data) 1 in 406 reported (insufficient data) According to Situational Report 49, released by the World Health Organization (WHO) on March 9, 2020,1 there had been 109,000 cases of COVID-19 and 3,800 related deaths worldwide. [...]we are proposing to use our methods, which we have been developing in recent years, to provide model-based estimates of underreporting for COVID-19 within a few weeks. Data, Methods, and Models We collected COVID-19 and population data for each country from the World Health Organization (WHO),1 Worldometer,2 and World Bank10 sources.</abstract><cop>United States</cop><pub>Cambridge University Press</pub><pmid>32268929</pmid><doi>10.1017/ice.2020.116</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Age groups Aged Betacoronavirus China - epidemiology Coronavirus Infections - diagnosis Coronavirus Infections - epidemiology COVID-19 Disease control Disease transmission Epidemics Estimates Fatalities France - epidemiology Germany - epidemiology Harmonic analysis Humans Iran - epidemiology Italy - epidemiology Middle Aged Models, Statistical Pandemics Pandemics - statistics & numerical data Pneumonia, Viral - diagnosis Pneumonia, Viral - epidemiology Population Population density Republic of Korea - epidemiology Research Brief Retrospective Studies SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Spain - epidemiology Urban populations Wavelet Analysis Young Adult |
title | Level of underreporting including underdiagnosis before the first peak of COVID-19 in various countries: Preliminary retrospective results based on wavelets and deterministic modeling |
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