Cross-Country Comparison of Case Fatality Rates of COVID-19/SARS-COV-2
Identifieur interne : 000299 ( Pmc/Checkpoint ); précédent : 000298; suivant : 000300Cross-Country Comparison of Case Fatality Rates of COVID-19/SARS-COV-2
Auteurs : Morteza Abdullatif Khafaie [Iran] ; Fakher Rahim [Iran]Source :
- Osong Public Health and Research Perspectives [ 2210-9099 ] ; 2020.
Abstract
Case fatality rates (CFR) and recovery rates are important readouts during epidemics and pandemics. In this article, an international analysis was performed on the ongoing coronavirus disease 2019 (COVID-19) pandemic.
Data were retrieved from accurate databases according to the user’s guide of data sources for patient registries, CFR and recovery rates were calculated for each country. A comparison of CFR between countries with total cases ≥ 1,000 was observed for 12th and 23rd March.
Italy’s CFR was the highest of all countries studied for both time points (12th March, 6.22% versus 23rd March, 9.26%). The data showed that even though Italy was the only European country reported on 12rd March, Spain and France had the highest CFR of 6.16 and 4.21%, respectively, on 23rd March, which was strikingly higher than the overall CFR of 3.61%.
Obtaining detailed and accurate medical history from COVID-19 patients, and analyzing CFR alongside the recovery rate, may enable the identification of the highest risk areas so that efficient medical care may be provided. This may lead to the development of point-of-care tools to help clinicians in stratifying patients based on possible requirements in the level of care, to increase the probabilities of survival from COVID-19 disease.
Url:
DOI: 10.24171/j.phrp.2020.11.2.03
PubMed: 32257772
PubMed Central: 7104689
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
PMC:7104689Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Cross-Country Comparison of Case Fatality Rates of COVID-19/SARS-COV-2</title><author><name sortKey="Khafaie, Morteza Abdullatif" sort="Khafaie, Morteza Abdullatif" uniqKey="Khafaie M" first="Morteza Abdullatif" last="Khafaie">Morteza Abdullatif Khafaie</name><affiliation wicri:level="1"><nlm:aff id="af1-ophrp-11-74">Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</nlm:aff><country xml:lang="fr">Iran</country><wicri:regionArea>Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz</wicri:regionArea><wicri:noRegion>Ahvaz</wicri:noRegion></affiliation></author><author><name sortKey="Rahim, Fakher" sort="Rahim, Fakher" uniqKey="Rahim F" first="Fakher" last="Rahim">Fakher Rahim</name><affiliation wicri:level="1"><nlm:aff id="af2-ophrp-11-74">Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</nlm:aff><country xml:lang="fr">Iran</country><wicri:regionArea>Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences, Ahvaz</wicri:regionArea><wicri:noRegion>Ahvaz</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">32257772</idno><idno type="pmc">7104689</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104689</idno><idno type="RBID">PMC:7104689</idno><idno type="doi">10.24171/j.phrp.2020.11.2.03</idno><date when="2020">2020</date><idno type="wicri:Area/Pmc/Corpus">001319</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001319</idno><idno type="wicri:Area/Pmc/Curation">001319</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001319</idno><idno type="wicri:Area/Pmc/Checkpoint">000299</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000299</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Cross-Country Comparison of Case Fatality Rates of COVID-19/SARS-COV-2</title><author><name sortKey="Khafaie, Morteza Abdullatif" sort="Khafaie, Morteza Abdullatif" uniqKey="Khafaie M" first="Morteza Abdullatif" last="Khafaie">Morteza Abdullatif Khafaie</name><affiliation wicri:level="1"><nlm:aff id="af1-ophrp-11-74">Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</nlm:aff><country xml:lang="fr">Iran</country><wicri:regionArea>Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz</wicri:regionArea><wicri:noRegion>Ahvaz</wicri:noRegion></affiliation></author><author><name sortKey="Rahim, Fakher" sort="Rahim, Fakher" uniqKey="Rahim F" first="Fakher" last="Rahim">Fakher Rahim</name><affiliation wicri:level="1"><nlm:aff id="af2-ophrp-11-74">Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</nlm:aff><country xml:lang="fr">Iran</country><wicri:regionArea>Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences, Ahvaz</wicri:regionArea><wicri:noRegion>Ahvaz</wicri:noRegion></affiliation></author></analytic><series><title level="j">Osong Public Health and Research Perspectives</title><idno type="ISSN">2210-9099</idno><idno type="eISSN">2233-6052</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Objectives</title><p>Case fatality rates (CFR) and recovery rates are important readouts during epidemics and pandemics. In this article, an international analysis was performed on the ongoing coronavirus disease 2019 (COVID-19) pandemic.</p></sec><sec><title>Methods</title><p>Data were retrieved from accurate databases according to the user’s guide of data sources for patient registries, CFR and recovery rates were calculated for each country. A comparison of CFR between countries with total cases ≥ 1,000 was observed for 12<sup>th</sup> and 23<sup>rd</sup> March.</p></sec><sec><title>Results</title><p>Italy’s CFR was the highest of all countries studied for both time points (12<sup>th</sup> March, 6.22% versus 23<sup>rd</sup> March, 9.26%). The data showed that even though Italy was the only European country reported on 12<sup>rd</sup> March, Spain and France had the highest CFR of 6.16 and 4.21%, respectively, on 23<sup>rd</sup> March, which was strikingly higher than the overall CFR of 3.61%.</p></sec><sec><title>Conclusion</title><p>Obtaining detailed and accurate medical history from COVID-19 patients, and analyzing CFR alongside the recovery rate, may enable the identification of the highest risk areas so that efficient medical care may be provided. This may lead to the development of point-of-care tools to help clinicians in stratifying patients based on possible requirements in the level of care, to increase the probabilities of survival from COVID-19 disease.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Xu, Xw" uniqKey="Xu X">XW Xu</name></author><author><name sortKey="Wu, Xx" uniqKey="Wu X">XX Wu</name></author><author><name sortKey="Jiang, Xg" uniqKey="Jiang X">XG Jiang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lauer, Sa" uniqKey="Lauer S">SA Lauer</name></author><author><name sortKey="Grantz, Kh" uniqKey="Grantz K">KH Grantz</name></author><author><name sortKey="Bi, Q" uniqKey="Bi Q">Q Bi</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Guan, W" uniqKey="Guan W">W Guan</name></author><author><name sortKey="Ni, Z" uniqKey="Ni Z">Z Ni</name></author><author><name sortKey="Hu, Y" uniqKey="Hu Y">Y Hu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Jernigan, Db" uniqKey="Jernigan D">DB Jernigan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Pang, J" uniqKey="Pang J">J Pang</name></author><author><name sortKey="Wang, Mx" uniqKey="Wang M">MX Wang</name></author><author><name sortKey="Ang, Iyh" uniqKey="Ang I">IYH Ang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name></author><author><name sortKey="Liu, Y" uniqKey="Liu Y">Y Liu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yi Li, Z" uniqKey="Yi Li Z">Z Yi Li</name></author><author><name sortKey="Luo, Yx" uniqKey="Luo Y">YX Luo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yang, Xh" uniqKey="Yang X">XH Yang</name></author><author><name sortKey="Sun, Rh" uniqKey="Sun R">RH Sun</name></author><author><name sortKey="Chen, Dc" uniqKey="Chen D">DC Chen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Xia, W" uniqKey="Xia W">W Xia</name></author><author><name sortKey="Shao, J" uniqKey="Shao J">J Shao</name></author><author><name sortKey="Guo, Y" uniqKey="Guo Y">Y Guo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zhao, W" uniqKey="Zhao W">W Zhao</name></author><author><name sortKey="Zhong, Z" uniqKey="Zhong Z">Z Zhong</name></author><author><name sortKey="Xie, X" uniqKey="Xie X">X Xie</name></author><author><name sortKey="Yu, Q" uniqKey="Yu Q">Q Yu</name></author><author><name sortKey="Liu, J" uniqKey="Liu J">J Liu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kanchan, T" uniqKey="Kanchan T">T Kanchan</name></author><author><name sortKey="Kumar, N" uniqKey="Kumar N">N Kumar</name></author><author><name sortKey="Unnikrishnan, B" uniqKey="Unnikrishnan B">B Unnikrishnan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Reich, Ng" uniqKey="Reich N">NG Reich</name></author><author><name sortKey="Lessler, J" uniqKey="Lessler J">J Lessler</name></author><author><name sortKey="Cummings, Dat" uniqKey="Cummings D">DAT Cummings</name></author><author><name sortKey="Brookmeyer, R" uniqKey="Brookmeyer R">R Brookmeyer</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wang, C" uniqKey="Wang C">C Wang</name></author><author><name sortKey="Horby, Pw" uniqKey="Horby P">PW Horby</name></author><author><name sortKey="Hayden, Fg" uniqKey="Hayden F">FG Hayden</name></author><author><name sortKey="Gao, Gf" uniqKey="Gao G">GF Gao</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Gliklich, Re" uniqKey="Gliklich R">RE Gliklich</name></author><author><name sortKey="Dreyer, Na" uniqKey="Dreyer N">NA Dreyer</name></author><author><name sortKey="Leavy, Mb" uniqKey="Leavy M">MB Leavy</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Mojadam, M" uniqKey="Mojadam M">M Mojadam</name></author><author><name sortKey="Matlabi, M" uniqKey="Matlabi M">M Matlabi</name></author><author><name sortKey="Haji, A" uniqKey="Haji A">A Haji</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Takian, A" uniqKey="Takian A">A Takian</name></author><author><name sortKey="Raoofi, A" uniqKey="Raoofi A">A Raoofi</name></author><author><name sortKey="Kazempour Ardebili, S" uniqKey="Kazempour Ardebili S">S Kazempour-Ardebili</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Osong Public Health Res Perspect</journal-id><journal-id journal-id-type="iso-abbrev">Osong Public Health Res Perspect</journal-id><journal-id journal-id-type="publisher-id">kphrp1</journal-id><journal-title-group><journal-title>Osong Public Health and Research Perspectives</journal-title></journal-title-group><issn pub-type="ppub">2210-9099</issn><issn pub-type="epub">2233-6052</issn><publisher><publisher-name>Korea Centers for Disease Control and Prevention</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">32257772</article-id><article-id pub-id-type="pmc">7104689</article-id><article-id pub-id-type="doi">10.24171/j.phrp.2020.11.2.03</article-id><article-id pub-id-type="publisher-id">ophrp-11-74</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Cross-Country Comparison of Case Fatality Rates of COVID-19/SARS-COV-2</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Khafaie</surname><given-names>Morteza Abdullatif</given-names></name><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1651-3017</contrib-id><xref ref-type="aff" rid="af1-ophrp-11-74">a</xref></contrib><contrib contrib-type="author"><name><surname>Rahim</surname><given-names>Fakher</given-names></name><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2857-4562</contrib-id><xref ref-type="aff" rid="af2-ophrp-11-74">b</xref><xref rid="c1-ophrp-11-74" ref-type="corresp">*</xref></contrib></contrib-group><aff id="af1-ophrp-11-74"><label>a</label>Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</aff><aff id="af2-ophrp-11-74"><label>b</label>Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</aff><author-notes><corresp id="c1-ophrp-11-74"><label>*</label>Corresponding author: Fakher Rahim, Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, E-mail: <email>bioinfo2003@gmail.com</email></corresp></author-notes><pub-date pub-type="ppub"><month>4</month><year>2020</year></pub-date><volume>11</volume><issue>2</issue><fpage>74</fpage><lpage>80</lpage><history><date date-type="received"><day>13</day><month>3</month><year>2020</year></date><date date-type="rev-recd"><day>23</day><month>3</month><year>2020</year></date><date date-type="accepted"><day>23</day><month>3</month><year>2020</year></date></history><permissions><copyright-statement>Copyright ©2020, Korea Centers for Disease Control and Prevention</copyright-statement><copyright-year>2020</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-nd/4.0/"><license-p><pmc-comment>CREATIVE COMMONS</pmc-comment>This is an open access article under the CC BY-NC-ND license (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc-nd/4.0/">http://creativecommons.org/licenses/by-nc-nd/4.0/</ext-link>).</license-p></license></permissions><abstract><sec><title>Objectives</title><p>Case fatality rates (CFR) and recovery rates are important readouts during epidemics and pandemics. In this article, an international analysis was performed on the ongoing coronavirus disease 2019 (COVID-19) pandemic.</p></sec><sec><title>Methods</title><p>Data were retrieved from accurate databases according to the user’s guide of data sources for patient registries, CFR and recovery rates were calculated for each country. A comparison of CFR between countries with total cases ≥ 1,000 was observed for 12<sup>th</sup> and 23<sup>rd</sup> March.</p></sec><sec><title>Results</title><p>Italy’s CFR was the highest of all countries studied for both time points (12<sup>th</sup> March, 6.22% versus 23<sup>rd</sup> March, 9.26%). The data showed that even though Italy was the only European country reported on 12<sup>rd</sup> March, Spain and France had the highest CFR of 6.16 and 4.21%, respectively, on 23<sup>rd</sup> March, which was strikingly higher than the overall CFR of 3.61%.</p></sec><sec><title>Conclusion</title><p>Obtaining detailed and accurate medical history from COVID-19 patients, and analyzing CFR alongside the recovery rate, may enable the identification of the highest risk areas so that efficient medical care may be provided. This may lead to the development of point-of-care tools to help clinicians in stratifying patients based on possible requirements in the level of care, to increase the probabilities of survival from COVID-19 disease.</p></sec></abstract><kwd-group><kwd>coronavirus</kwd><kwd>COVID-19</kwd><kwd>case fatality rates</kwd></kwd-group></article-meta></front><floats-group><fig id="f1-ophrp-11-74" orientation="portrait" position="float"><label>Figure 1</label><caption><p>The cross-country comparison of case fatality rate (CFR) between different countries (<italic>n</italic> = 116). The circles showed the countries with highest outbreak and positive cases of COVID-19. Countries with CFR value zero has not been illustrated here.</p></caption><graphic xlink:href="ophrp-11-74f1"></graphic></fig><fig id="f2-ophrp-11-74" orientation="portrait" position="float"><label>Figure 2</label><caption><p>The cross-country comparison of recovery rate (RR) between different countries (<italic>n</italic> = 116). The circles showed the countries with highest outbreak and positive cases of COVID-19. Countries with RR value zero has not been illustrated here.</p></caption><graphic xlink:href="ophrp-11-74f2"></graphic></fig><fig id="f3-ophrp-11-74" orientation="portrait" position="float"><label>Figure 3</label><caption><p>The cross-country comparison of case fatality rate (CFR) between different known infectious and viral diseases (<italic>n</italic> = 116). The circles showed the estimated value and the reported range of CFR of COVID-19.</p></caption><graphic xlink:href="ophrp-11-74f3"></graphic></fig><table-wrap id="t1-ophrp-11-74" orientation="portrait" position="float"><label>Table 1</label><caption><p>The comparison of case fatality rate (CFR) and recovery rate (RR) between different countries (<italic>n</italic> = 116). Only countries with total cases over 1,000 cases depicted (population in million and GDP in trillion USD; <italic>n</italic> = 116).</p></caption><table frame="hsides" rules="groups"><thead><tr><th valign="middle" align="center" rowspan="1" colspan="1">Country</th><th valign="middle" align="center" rowspan="1" colspan="1">Population</th><th valign="middle" align="center" rowspan="1" colspan="1">GDP</th><th valign="middle" align="center" rowspan="1" colspan="1">ICU beds per capita</th><th valign="middle" align="center" rowspan="1" colspan="1">Total cases</th><th valign="middle" align="center" rowspan="1" colspan="1">Total deaths</th><th valign="middle" align="center" rowspan="1" colspan="1">Total recovered</th><th valign="middle" align="center" rowspan="1" colspan="1">Active cases</th><th valign="middle" align="center" rowspan="1" colspan="1">Serious, critical</th><th valign="middle" align="center" rowspan="1" colspan="1">Total cases/ 10<sup>6</sup> population</th><th valign="middle" align="center" rowspan="1" colspan="1">Case fatality rate</th><th valign="middle" align="center" rowspan="1" colspan="1">Recovery response</th></tr></thead><tbody><tr><td colspan="12" valign="middle" align="center" rowspan="1">12<sup>th</sup> March 2020</td></tr><tr><td colspan="12" valign="middle" align="left" rowspan="1"><hr></hr></td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">China</td><td valign="middle" align="center" rowspan="1" colspan="1">1,386</td><td valign="middle" align="center" rowspan="1" colspan="1">12.24</td><td valign="middle" align="center" rowspan="1" colspan="1">3.6</td><td valign="middle" align="center" rowspan="1" colspan="1">80,783</td><td valign="middle" align="center" rowspan="1" colspan="1">3,158</td><td valign="middle" align="center" rowspan="1" colspan="1">61,493</td><td valign="middle" align="center" rowspan="1" colspan="1">16,132</td><td valign="middle" align="center" rowspan="1" colspan="1">4,492</td><td valign="middle" align="center" rowspan="1" colspan="1">56.1</td><td valign="middle" align="center" rowspan="1" colspan="1">3.91</td><td valign="middle" align="center" rowspan="1" colspan="1">76.12</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Italy</td><td valign="middle" align="center" rowspan="1" colspan="1">60.48</td><td valign="middle" align="center" rowspan="1" colspan="1">1.935</td><td valign="middle" align="center" rowspan="1" colspan="1">12.5</td><td valign="middle" align="center" rowspan="1" colspan="1">10,149</td><td valign="middle" align="center" rowspan="1" colspan="1">631</td><td valign="middle" align="center" rowspan="1" colspan="1">1,004</td><td valign="middle" align="center" rowspan="1" colspan="1">8,514</td><td valign="middle" align="center" rowspan="1" colspan="1">877</td><td valign="middle" align="center" rowspan="1" colspan="1">167.9</td><td valign="middle" align="center" rowspan="1" colspan="1">6.22</td><td valign="middle" align="center" rowspan="1" colspan="1">9.89</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Iran</td><td valign="middle" align="center" rowspan="1" colspan="1">81.16</td><td valign="middle" align="center" rowspan="1" colspan="1">0.4395</td><td valign="middle" align="center" rowspan="1" colspan="1">4.2</td><td valign="middle" align="center" rowspan="1" colspan="1">8,042</td><td valign="middle" align="center" rowspan="1" colspan="1">291</td><td valign="middle" align="center" rowspan="1" colspan="1">2,731</td><td valign="middle" align="center" rowspan="1" colspan="1">5,020</td><td valign="middle" align="left" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">95.7</td><td valign="middle" align="center" rowspan="1" colspan="1">3.62</td><td valign="middle" align="center" rowspan="1" colspan="1">33.96</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">S. Korea</td><td valign="middle" align="center" rowspan="1" colspan="1">51.47</td><td valign="middle" align="center" rowspan="1" colspan="1">1.531</td><td valign="middle" align="center" rowspan="1" colspan="1">10.6</td><td valign="middle" align="center" rowspan="1" colspan="1">7,755</td><td valign="middle" align="center" rowspan="1" colspan="1">61</td><td valign="middle" align="center" rowspan="1" colspan="1">288</td><td valign="middle" align="center" rowspan="1" colspan="1">7,406</td><td valign="middle" align="center" rowspan="1" colspan="1">54</td><td valign="middle" align="center" rowspan="1" colspan="1">151.3</td><td valign="middle" align="center" rowspan="1" colspan="1">0.79</td><td valign="middle" align="center" rowspan="1" colspan="1">3.71</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">France</td><td valign="middle" align="center" rowspan="1" colspan="1">66.99</td><td valign="middle" align="center" rowspan="1" colspan="1">2.583</td><td valign="middle" align="center" rowspan="1" colspan="1">11.6</td><td valign="middle" align="center" rowspan="1" colspan="1">1,784</td><td valign="middle" align="center" rowspan="1" colspan="1">33</td><td valign="middle" align="center" rowspan="1" colspan="1">12</td><td valign="middle" align="center" rowspan="1" colspan="1">1,739</td><td valign="middle" align="center" rowspan="1" colspan="1">86</td><td valign="middle" align="center" rowspan="1" colspan="1">27.3</td><td valign="middle" align="center" rowspan="1" colspan="1">1.85</td><td valign="middle" align="center" rowspan="1" colspan="1">0.67</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Spain</td><td valign="middle" align="center" rowspan="1" colspan="1">46.66</td><td valign="middle" align="center" rowspan="1" colspan="1">1.311</td><td valign="middle" align="center" rowspan="1" colspan="1">9.7</td><td valign="middle" align="center" rowspan="1" colspan="1">1,695</td><td valign="middle" align="center" rowspan="1" colspan="1">36</td><td valign="middle" align="center" rowspan="1" colspan="1">135</td><td valign="middle" align="center" rowspan="1" colspan="1">1,524</td><td valign="middle" align="center" rowspan="1" colspan="1">101</td><td valign="middle" align="center" rowspan="1" colspan="1">36.3</td><td valign="middle" align="center" rowspan="1" colspan="1">2.12</td><td valign="middle" align="center" rowspan="1" colspan="1">7.96</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Germany</td><td valign="middle" align="center" rowspan="1" colspan="1">82.79</td><td valign="middle" align="center" rowspan="1" colspan="1">3.677</td><td valign="middle" align="center" rowspan="1" colspan="1">29.2</td><td valign="middle" align="center" rowspan="1" colspan="1">1,565</td><td valign="middle" align="center" rowspan="1" colspan="1">2</td><td valign="middle" align="center" rowspan="1" colspan="1">18</td><td valign="middle" align="center" rowspan="1" colspan="1">1,545</td><td valign="middle" align="center" rowspan="1" colspan="1">9</td><td valign="middle" align="center" rowspan="1" colspan="1">18.7</td><td valign="middle" align="center" rowspan="1" colspan="1">0.13</td><td valign="middle" align="center" rowspan="1" colspan="1">1.15</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">USA</td><td valign="middle" align="center" rowspan="1" colspan="1">327.2</td><td valign="middle" align="center" rowspan="1" colspan="1">19.39</td><td valign="middle" align="center" rowspan="1" colspan="1">34.7</td><td valign="middle" align="center" rowspan="1" colspan="1">1,010</td><td valign="middle" align="center" rowspan="1" colspan="1">31</td><td valign="middle" align="center" rowspan="1" colspan="1">15</td><td valign="middle" align="center" rowspan="1" colspan="1">964</td><td valign="middle" align="center" rowspan="1" colspan="1">10</td><td valign="middle" align="center" rowspan="1" colspan="1">3.1</td><td valign="middle" align="center" rowspan="1" colspan="1">3.07</td><td valign="middle" align="center" rowspan="1" colspan="1">1.49</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">All countries < 1,000 cases</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">6,442</td><td valign="middle" align="center" rowspan="1" colspan="1">56</td><td valign="middle" align="center" rowspan="1" colspan="1">872</td><td valign="middle" align="center" rowspan="1" colspan="1">5,514</td><td valign="middle" align="center" rowspan="1" colspan="1">118</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Total</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">119,225</td><td valign="middle" align="center" rowspan="1" colspan="1">4,299</td><td valign="middle" align="center" rowspan="1" colspan="1">66,568</td><td valign="middle" align="center" rowspan="1" colspan="1">48,358</td><td valign="middle" align="center" rowspan="1" colspan="1">5,747</td><td valign="middle" align="center" rowspan="1" colspan="1">15.3</td><td valign="middle" align="center" rowspan="1" colspan="1">3.61</td><td valign="middle" align="center" rowspan="1" colspan="1">55.83</td></tr><tr><td colspan="12" valign="middle" align="left" rowspan="1"><hr></hr></td></tr><tr><td colspan="12" valign="middle" align="center" rowspan="1">23<sup>rd</sup> March 2020</td></tr><tr><td colspan="12" valign="middle" align="left" rowspan="1"><hr></hr></td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">China</td><td valign="middle" align="center" rowspan="1" colspan="1">1386</td><td valign="middle" align="center" rowspan="1" colspan="1">12.24</td><td valign="middle" align="center" rowspan="1" colspan="1">3.6</td><td valign="middle" align="center" rowspan="1" colspan="1">81,093</td><td valign="middle" align="center" rowspan="1" colspan="1">3,270</td><td valign="middle" align="center" rowspan="1" colspan="1">72,703</td><td valign="middle" align="center" rowspan="1" colspan="1">5,120</td><td valign="middle" align="center" rowspan="1" colspan="1">1,749</td><td valign="middle" align="center" rowspan="1" colspan="1">56</td><td valign="middle" align="center" rowspan="1" colspan="1">4/03</td><td valign="middle" align="center" rowspan="1" colspan="1">89/65</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Italy</td><td valign="middle" align="center" rowspan="1" colspan="1">60.48</td><td valign="middle" align="center" rowspan="1" colspan="1">1.935</td><td valign="middle" align="center" rowspan="1" colspan="1">12.5</td><td valign="middle" align="center" rowspan="1" colspan="1">59,138</td><td valign="middle" align="center" rowspan="1" colspan="1">5,476</td><td valign="middle" align="center" rowspan="1" colspan="1">7,024</td><td valign="middle" align="center" rowspan="1" colspan="1">46,638</td><td valign="middle" align="center" rowspan="1" colspan="1">3,000</td><td valign="middle" align="center" rowspan="1" colspan="1">978</td><td valign="middle" align="center" rowspan="1" colspan="1">9/26</td><td valign="middle" align="center" rowspan="1" colspan="1">11/88</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">USA</td><td valign="middle" align="center" rowspan="1" colspan="1">327.2</td><td valign="middle" align="center" rowspan="1" colspan="1">19.39</td><td valign="middle" align="center" rowspan="1" colspan="1">34.7</td><td valign="middle" align="center" rowspan="1" colspan="1">33,563</td><td valign="middle" align="center" rowspan="1" colspan="1">420</td><td valign="middle" align="center" rowspan="1" colspan="1">178</td><td valign="middle" align="center" rowspan="1" colspan="1">32,965</td><td valign="middle" align="center" rowspan="1" colspan="1">795</td><td valign="middle" align="center" rowspan="1" colspan="1">101</td><td valign="middle" align="center" rowspan="1" colspan="1">1/25</td><td valign="middle" align="center" rowspan="1" colspan="1">0/53</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Spain</td><td valign="middle" align="center" rowspan="1" colspan="1">46.66</td><td valign="middle" align="center" rowspan="1" colspan="1">1.311</td><td valign="middle" align="center" rowspan="1" colspan="1">9.7</td><td valign="middle" align="center" rowspan="1" colspan="1">28,768</td><td valign="middle" align="center" rowspan="1" colspan="1">1,772</td><td valign="middle" align="center" rowspan="1" colspan="1">2,575</td><td valign="middle" align="center" rowspan="1" colspan="1">24,421</td><td valign="middle" align="center" rowspan="1" colspan="1">1,785</td><td valign="middle" align="center" rowspan="1" colspan="1">615</td><td valign="middle" align="center" rowspan="1" colspan="1">6/16</td><td valign="middle" align="center" rowspan="1" colspan="1">8/95</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Germany</td><td valign="middle" align="center" rowspan="1" colspan="1">82.79</td><td valign="middle" align="center" rowspan="1" colspan="1">3.677</td><td valign="middle" align="center" rowspan="1" colspan="1">29.2</td><td valign="middle" align="center" rowspan="1" colspan="1">24,873</td><td valign="middle" align="center" rowspan="1" colspan="1">94</td><td valign="middle" align="center" rowspan="1" colspan="1">266</td><td valign="middle" align="center" rowspan="1" colspan="1">24,513</td><td valign="middle" align="center" rowspan="1" colspan="1">23</td><td valign="middle" align="center" rowspan="1" colspan="1">297</td><td valign="middle" align="center" rowspan="1" colspan="1">0/38</td><td valign="middle" align="center" rowspan="1" colspan="1">1/07</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Iran</td><td valign="middle" align="center" rowspan="1" colspan="1">81.16</td><td valign="middle" align="center" rowspan="1" colspan="1">0.4395</td><td valign="middle" align="center" rowspan="1" colspan="1">4.2</td><td valign="middle" align="center" rowspan="1" colspan="1">21,638</td><td valign="middle" align="center" rowspan="1" colspan="1">1,685</td><td valign="middle" align="center" rowspan="1" colspan="1">7,913</td><td valign="middle" align="center" rowspan="1" colspan="1">12,040</td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">258</td><td valign="middle" align="center" rowspan="1" colspan="1">7/79</td><td valign="middle" align="center" rowspan="1" colspan="1">36/57</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">France</td><td valign="middle" align="center" rowspan="1" colspan="1">66.99</td><td valign="middle" align="center" rowspan="1" colspan="1">2.583</td><td valign="middle" align="center" rowspan="1" colspan="1">11.6</td><td valign="middle" align="center" rowspan="1" colspan="1">16,018</td><td valign="middle" align="center" rowspan="1" colspan="1">674</td><td valign="middle" align="center" rowspan="1" colspan="1">2,200</td><td valign="middle" align="center" rowspan="1" colspan="1">13,144</td><td valign="middle" align="center" rowspan="1" colspan="1">1,746</td><td valign="middle" align="center" rowspan="1" colspan="1">245</td><td valign="middle" align="center" rowspan="1" colspan="1">4/21</td><td valign="middle" align="center" rowspan="1" colspan="1">13/73</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">S. Korea</td><td valign="middle" align="center" rowspan="1" colspan="1">51.47</td><td valign="middle" align="center" rowspan="1" colspan="1">1.531</td><td valign="middle" align="center" rowspan="1" colspan="1">10.6</td><td valign="middle" align="center" rowspan="1" colspan="1">8,961</td><td valign="middle" align="center" rowspan="1" colspan="1">111</td><td valign="middle" align="center" rowspan="1" colspan="1">3,166</td><td valign="middle" align="center" rowspan="1" colspan="1">5,684</td><td valign="middle" align="center" rowspan="1" colspan="1">59</td><td valign="middle" align="center" rowspan="1" colspan="1">175</td><td valign="middle" align="center" rowspan="1" colspan="1">1/24</td><td valign="middle" align="center" rowspan="1" colspan="1">35/33</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Switzerland</td><td valign="middle" align="center" rowspan="1" colspan="1">8.57</td><td valign="middle" align="center" rowspan="1" colspan="1">0.6789</td><td valign="middle" align="center" rowspan="1" colspan="1">11</td><td valign="middle" align="center" rowspan="1" colspan="1">7,474</td><td valign="middle" align="center" rowspan="1" colspan="1">98</td><td valign="middle" align="center" rowspan="1" colspan="1">131</td><td valign="middle" align="center" rowspan="1" colspan="1">7,245</td><td valign="middle" align="center" rowspan="1" colspan="1">141</td><td valign="middle" align="center" rowspan="1" colspan="1">864</td><td valign="middle" align="center" rowspan="1" colspan="1">1/31</td><td valign="middle" align="center" rowspan="1" colspan="1">1/75</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">UK</td><td valign="middle" align="center" rowspan="1" colspan="1">66.44</td><td valign="middle" align="center" rowspan="1" colspan="1">2.622</td><td valign="middle" align="center" rowspan="1" colspan="1">6.6</td><td valign="middle" align="center" rowspan="1" colspan="1">5,683</td><td valign="middle" align="center" rowspan="1" colspan="1">281</td><td valign="middle" align="center" rowspan="1" colspan="1">93</td><td valign="middle" align="center" rowspan="1" colspan="1">5,309</td><td valign="middle" align="center" rowspan="1" colspan="1">20</td><td valign="middle" align="center" rowspan="1" colspan="1">84</td><td valign="middle" align="center" rowspan="1" colspan="1">4/94</td><td valign="middle" align="center" rowspan="1" colspan="1">1/64</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Netherlands</td><td valign="middle" align="center" rowspan="1" colspan="1">17.18</td><td valign="middle" align="center" rowspan="1" colspan="1">0.8262</td><td valign="middle" align="center" rowspan="1" colspan="1">6.4</td><td valign="middle" align="center" rowspan="1" colspan="1">4,204</td><td valign="middle" align="center" rowspan="1" colspan="1">179</td><td valign="middle" align="center" rowspan="1" colspan="1">2</td><td valign="middle" align="center" rowspan="1" colspan="1">4,023</td><td valign="middle" align="center" rowspan="1" colspan="1">354</td><td valign="middle" align="center" rowspan="1" colspan="1">245</td><td valign="middle" align="center" rowspan="1" colspan="1">4/26</td><td valign="middle" align="center" rowspan="1" colspan="1">0/05</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Austria</td><td valign="middle" align="center" rowspan="1" colspan="1">8.822</td><td valign="middle" align="center" rowspan="1" colspan="1">0.4166</td><td valign="middle" align="center" rowspan="1" colspan="1">21.8</td><td valign="middle" align="center" rowspan="1" colspan="1">3,582</td><td valign="middle" align="center" rowspan="1" colspan="1">16</td><td valign="middle" align="center" rowspan="1" colspan="1">9</td><td valign="middle" align="center" rowspan="1" colspan="1">3,557</td><td valign="middle" align="center" rowspan="1" colspan="1">15</td><td valign="middle" align="center" rowspan="1" colspan="1">398</td><td valign="middle" align="center" rowspan="1" colspan="1">0/45</td><td valign="middle" align="center" rowspan="1" colspan="1">0/25</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Belgium</td><td valign="middle" align="center" rowspan="1" colspan="1">11.4</td><td valign="middle" align="center" rowspan="1" colspan="1">0.4927</td><td valign="middle" align="center" rowspan="1" colspan="1">15.9</td><td valign="middle" align="center" rowspan="1" colspan="1">3,401</td><td valign="middle" align="center" rowspan="1" colspan="1">75</td><td valign="middle" align="center" rowspan="1" colspan="1">263</td><td valign="middle" align="center" rowspan="1" colspan="1">3,063</td><td valign="middle" align="center" rowspan="1" colspan="1">288</td><td valign="middle" align="center" rowspan="1" colspan="1">293</td><td valign="middle" align="center" rowspan="1" colspan="1">2/21</td><td valign="middle" align="center" rowspan="1" colspan="1">7/73</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Norway</td><td valign="middle" align="center" rowspan="1" colspan="1">5.368</td><td valign="middle" align="center" rowspan="1" colspan="1">0.3988</td><td valign="middle" align="center" rowspan="1" colspan="1">8</td><td valign="middle" align="center" rowspan="1" colspan="1">2,385</td><td valign="middle" align="center" rowspan="1" colspan="1">7</td><td valign="middle" align="center" rowspan="1" colspan="1">6</td><td valign="middle" align="center" rowspan="1" colspan="1">2,372</td><td valign="middle" align="center" rowspan="1" colspan="1">28</td><td valign="middle" align="center" rowspan="1" colspan="1">440</td><td valign="middle" align="center" rowspan="1" colspan="1">0/29</td><td valign="middle" align="center" rowspan="1" colspan="1">0/25</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Sweden</td><td valign="middle" align="center" rowspan="1" colspan="1">10.12</td><td valign="middle" align="center" rowspan="1" colspan="1">0.538</td><td valign="middle" align="center" rowspan="1" colspan="1">5.8</td><td valign="middle" align="center" rowspan="1" colspan="1">1,934</td><td valign="middle" align="center" rowspan="1" colspan="1">21</td><td valign="middle" align="center" rowspan="1" colspan="1">16</td><td valign="middle" align="center" rowspan="1" colspan="1">1,897</td><td valign="middle" align="center" rowspan="1" colspan="1">76</td><td valign="middle" align="center" rowspan="1" colspan="1">191</td><td valign="middle" align="center" rowspan="1" colspan="1">1/09</td><td valign="middle" align="center" rowspan="1" colspan="1">0/83</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Australia</td><td valign="middle" align="center" rowspan="1" colspan="1">24.6</td><td valign="middle" align="center" rowspan="1" colspan="1">1.323</td><td valign="middle" align="center" rowspan="1" colspan="1">8</td><td valign="middle" align="center" rowspan="1" colspan="1">1,629</td><td valign="middle" align="center" rowspan="1" colspan="1">7</td><td valign="middle" align="center" rowspan="1" colspan="1">88</td><td valign="middle" align="center" rowspan="1" colspan="1">1,534</td><td valign="middle" align="center" rowspan="1" colspan="1">11</td><td valign="middle" align="center" rowspan="1" colspan="1">64</td><td valign="middle" align="center" rowspan="1" colspan="1">0/43</td><td valign="middle" align="center" rowspan="1" colspan="1">5/40</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Portugal</td><td valign="middle" align="center" rowspan="1" colspan="1">10.29</td><td valign="middle" align="center" rowspan="1" colspan="1">0.2176</td><td valign="middle" align="center" rowspan="1" colspan="1">4.2</td><td valign="middle" align="center" rowspan="1" colspan="1">1,600</td><td valign="middle" align="center" rowspan="1" colspan="1">14</td><td valign="middle" align="center" rowspan="1" colspan="1">5</td><td valign="middle" align="center" rowspan="1" colspan="1">1,581</td><td valign="middle" align="center" rowspan="1" colspan="1">26</td><td valign="middle" align="center" rowspan="1" colspan="1">157</td><td valign="middle" align="center" rowspan="1" colspan="1">0/88</td><td valign="middle" align="center" rowspan="1" colspan="1">0/31</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Brazil</td><td valign="middle" align="center" rowspan="1" colspan="1">209.3</td><td valign="middle" align="center" rowspan="1" colspan="1">2.056</td><td valign="middle" align="center" rowspan="1" colspan="1">6.7</td><td valign="middle" align="center" rowspan="1" colspan="1">1,546</td><td valign="middle" align="center" rowspan="1" colspan="1">25</td><td valign="middle" align="center" rowspan="1" colspan="1">2</td><td valign="middle" align="center" rowspan="1" colspan="1">1,519</td><td valign="middle" align="center" rowspan="1" colspan="1">18</td><td valign="middle" align="center" rowspan="1" colspan="1">7</td><td valign="middle" align="center" rowspan="1" colspan="1">1/62</td><td valign="middle" align="center" rowspan="1" colspan="1">0/13</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Canada</td><td valign="middle" align="center" rowspan="1" colspan="1">37.59</td><td valign="middle" align="center" rowspan="1" colspan="1">1.653</td><td valign="middle" align="center" rowspan="1" colspan="1">13.5</td><td valign="middle" align="center" rowspan="1" colspan="1">1,470</td><td valign="middle" align="center" rowspan="1" colspan="1">20</td><td valign="middle" align="center" rowspan="1" colspan="1">14</td><td valign="middle" align="center" rowspan="1" colspan="1">1,436</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">39</td><td valign="middle" align="center" rowspan="1" colspan="1">1/36</td><td valign="middle" align="center" rowspan="1" colspan="1">0/95</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Denmark</td><td valign="middle" align="center" rowspan="1" colspan="1">5.603</td><td valign="middle" align="center" rowspan="1" colspan="1">0.3249</td><td valign="middle" align="center" rowspan="1" colspan="1">6.7</td><td valign="middle" align="center" rowspan="1" colspan="1">1,395</td><td valign="middle" align="center" rowspan="1" colspan="1">13</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">1,381</td><td valign="middle" align="center" rowspan="1" colspan="1">42</td><td valign="middle" align="center" rowspan="1" colspan="1">241</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">0/07</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Malaysia</td><td valign="middle" align="center" rowspan="1" colspan="1">31.62</td><td valign="middle" align="center" rowspan="1" colspan="1">0.3145</td><td valign="middle" align="center" rowspan="1" colspan="1">3.7</td><td valign="middle" align="center" rowspan="1" colspan="1">1,306</td><td valign="middle" align="center" rowspan="1" colspan="1">10</td><td valign="middle" align="center" rowspan="1" colspan="1">139</td><td valign="middle" align="center" rowspan="1" colspan="1">1,157</td><td valign="middle" align="center" rowspan="1" colspan="1">26</td><td valign="middle" align="center" rowspan="1" colspan="1">40</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">10/64</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Turkey</td><td valign="middle" align="center" rowspan="1" colspan="1">80.81</td><td valign="middle" align="center" rowspan="1" colspan="1">0.8511</td><td valign="middle" align="center" rowspan="1" colspan="1">2.9</td><td valign="middle" align="center" rowspan="1" colspan="1">1,236</td><td valign="middle" align="center" rowspan="1" colspan="1">30</td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">1,206</td><td valign="middle" align="center" rowspan="1" colspan="1"></td><td valign="middle" align="center" rowspan="1" colspan="1">15</td><td valign="middle" align="center" rowspan="1" colspan="1">2</td><td valign="middle" align="center" rowspan="1" colspan="1">0/00</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Czechia</td><td valign="middle" align="center" rowspan="1" colspan="1">10.65</td><td valign="middle" align="center" rowspan="1" colspan="1">0.2157</td><td valign="middle" align="center" rowspan="1" colspan="1">11.6</td><td valign="middle" align="center" rowspan="1" colspan="1">1,120</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">6</td><td valign="middle" align="center" rowspan="1" colspan="1">1,113</td><td valign="middle" align="center" rowspan="1" colspan="1">19</td><td valign="middle" align="center" rowspan="1" colspan="1">105</td><td valign="middle" align="center" rowspan="1" colspan="1">0</td><td valign="middle" align="center" rowspan="1" colspan="1">0/54</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Japan</td><td valign="middle" align="center" rowspan="1" colspan="1">126.8</td><td valign="middle" align="center" rowspan="1" colspan="1">4.872</td><td valign="middle" align="center" rowspan="1" colspan="1">7.3</td><td valign="middle" align="center" rowspan="1" colspan="1">1,101</td><td valign="middle" align="center" rowspan="1" colspan="1">41</td><td valign="middle" align="center" rowspan="1" colspan="1">235</td><td valign="middle" align="center" rowspan="1" colspan="1">825</td><td valign="middle" align="center" rowspan="1" colspan="1">49</td><td valign="middle" align="center" rowspan="1" colspan="1">9</td><td valign="middle" align="center" rowspan="1" colspan="1">4</td><td valign="middle" align="center" rowspan="1" colspan="1">21/34</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Israel</td><td valign="middle" align="center" rowspan="1" colspan="1">8.712</td><td valign="middle" align="center" rowspan="1" colspan="1">0.3509</td><td valign="middle" align="center" rowspan="1" colspan="1">6.3</td><td valign="middle" align="center" rowspan="1" colspan="1">1,071</td><td valign="middle" align="center" rowspan="1" colspan="1">1</td><td valign="middle" align="center" rowspan="1" colspan="1">37</td><td valign="middle" align="center" rowspan="1" colspan="1">1,033</td><td valign="middle" align="center" rowspan="1" colspan="1">18</td><td valign="middle" align="center" rowspan="1" colspan="1">124</td><td valign="middle" align="center" rowspan="1" colspan="1">0</td><td valign="middle" align="center" rowspan="1" colspan="1">3/45</td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">All countries with less than 1,000 cases</td><td valign="middle" align="center" rowspan="1" colspan="1">----</td><td valign="middle" align="center" rowspan="1" colspan="1">----</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">21,381</td><td valign="middle" align="center" rowspan="1" colspan="1">324</td><td valign="middle" align="center" rowspan="1" colspan="1">1,812</td><td valign="middle" align="center" rowspan="1" colspan="1">19,255</td><td valign="middle" align="center" rowspan="1" colspan="1">264</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">----</td></tr><tr><td colspan="12" valign="middle" align="left" rowspan="1"><hr></hr></td></tr><tr><td valign="middle" align="center" rowspan="1" colspan="1">Total</td><td valign="middle" align="center" rowspan="1" colspan="1">----</td><td valign="middle" align="center" rowspan="1" colspan="1">----</td><td valign="middle" align="center" rowspan="1" colspan="1">---</td><td valign="middle" align="center" rowspan="1" colspan="1">337,570</td><td valign="middle" align="center" rowspan="1" colspan="1">14,665</td><td valign="middle" align="center" rowspan="1" colspan="1">98,884</td><td valign="middle" align="center" rowspan="1" colspan="1">224,031</td><td valign="middle" align="center" rowspan="1" colspan="1">10,553</td><td valign="middle" align="center" rowspan="1" colspan="1">43.4</td><td valign="middle" align="center" rowspan="1" colspan="1">4.34</td><td valign="middle" align="center" rowspan="1" colspan="1">29.29</td></tr></tbody></table><table-wrap-foot><fn id="tfn1-ophrp-11-74"><p>Only countries with total cases over 1,000 are depicted (population in million and GDP in trillion US dollars).</p></fn><fn id="tfn2-ophrp-11-74"><p>GDP = gross domestic product; ICU = intensive care unit.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc><affiliations><list><country><li>Iran</li></country></list><tree><country name="Iran"><noRegion><name sortKey="Khafaie, Morteza Abdullatif" sort="Khafaie, Morteza Abdullatif" uniqKey="Khafaie M" first="Morteza Abdullatif" last="Khafaie">Morteza Abdullatif Khafaie</name></noRegion><name sortKey="Rahim, Fakher" sort="Rahim, Fakher" uniqKey="Rahim F" first="Fakher" last="Rahim">Fakher Rahim</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/Pmc/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000299 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd -nk 000299 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= SrasV1
|flux= Pmc
|étape= Checkpoint
|type= RBID
|clé= PMC:7104689
|texte= Cross-Country Comparison of Case Fatality Rates of COVID-19/SARS-COV-2
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/RBID.i -Sk "pubmed:32257772" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a SrasV1
| This area was generated with Dilib version V0.6.33. |  |