Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study
Identifieur interne : 000532 ( Main/Merge ); précédent : 000531; suivant : 000533Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study
Auteurs : Joel R. Koo [Singapour] ; Alex R. Cook [Singapour] ; Minah Park [Singapour] ; Yinxiaohe Sun [Singapour] ; Haoyang Sun [Singapour] ; Jue Tao Lim [Singapour] ; Clarence Tam [Singapour, Royaume-Uni] ; Borame L. Dickens [Singapour]Source :
- The Lancet. Infectious Diseases [ 1473-3099 ] ; 2020.
Abstract
Since the coronavirus disease 2019 outbreak began in the Chinese city of Wuhan on Dec 31, 2019, 68 imported cases and 175 locally acquired infections have been reported in Singapore. We aimed to investigate options for early intervention in Singapore should local containment (eg, preventing disease spread through contact tracing efforts) be unsuccessful.
We adapted an influenza epidemic simulation model to estimate the likelihood of human-to-human transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a simulated Singaporean population. Using this model, we estimated the cumulative number of SARS-CoV-2 infections at 80 days, after detection of 100 cases of community transmission, under three infectivity scenarios (basic reproduction number [
For the baseline scenario, when
Implementing the combined intervention of quarantining infected individuals and their family members, workplace distancing, and school closure once community transmission has been detected could substantially reduce the number of SARS-CoV-2 infections. We therefore recommend immediate deployment of this strategy if local secondary transmission is confirmed within Singapore. However, quarantine and workplace distancing should be prioritised over school closure because at this early stage, symptomatic children have higher withdrawal rates from school than do symptomatic adults from work. At higher asymptomatic proportions, intervention effectiveness might be substantially reduced requiring the need for effective case management and treatments, and preventive measures such as vaccines.
Singapore Ministry of Health, Singapore Population Health Improvement Centre.
Url:
DOI: 10.1016/S1473-3099(20)30162-6
PubMed: 32213332
PubMed Central: 7158571
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 001241
- to stream Pmc, to step Curation: 001241
- to stream Pmc, to step Checkpoint: 000204
- to stream Ncbi, to step Merge: 003522
- to stream Ncbi, to step Curation: 003522
- to stream Ncbi, to step Checkpoint: 003522
Links to Exploration step
PMC:7158571Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study</title>
<author><name sortKey="Koo, Joel R" sort="Koo, Joel R" uniqKey="Koo J" first="Joel R" last="Koo">Joel R. Koo</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Cook, Alex R" sort="Cook, Alex R" uniqKey="Cook A" first="Alex R" last="Cook">Alex R. Cook</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Park, Minah" sort="Park, Minah" uniqKey="Park M" first="Minah" last="Park">Minah Park</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Sun, Yinxiaohe" sort="Sun, Yinxiaohe" uniqKey="Sun Y" first="Yinxiaohe" last="Sun">Yinxiaohe Sun</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Sun, Haoyang" sort="Sun, Haoyang" uniqKey="Sun H" first="Haoyang" last="Sun">Haoyang Sun</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Lim, Jue Tao" sort="Lim, Jue Tao" uniqKey="Lim J" first="Jue Tao" last="Lim">Jue Tao Lim</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Tam, Clarence" sort="Tam, Clarence" uniqKey="Tam C" first="Clarence" last="Tam">Clarence Tam</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
<affiliation wicri:level="3"><nlm:aff id="aff2">London School of Hygiene & Tropical Medicine, London, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>London School of Hygiene & Tropical Medicine, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Dickens, Borame L" sort="Dickens, Borame L" uniqKey="Dickens B" first="Borame L" last="Dickens">Borame L. Dickens</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">32213332</idno>
<idno type="pmc">7158571</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158571</idno>
<idno type="RBID">PMC:7158571</idno>
<idno type="doi">10.1016/S1473-3099(20)30162-6</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">001241</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001241</idno>
<idno type="wicri:Area/Pmc/Curation">001241</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001241</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000204</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000204</idno>
<idno type="wicri:Area/Ncbi/Merge">003522</idno>
<idno type="wicri:Area/Ncbi/Curation">003522</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">003522</idno>
<idno type="wicri:doubleKey">1473-3099:2020:Koo J:interventions:to:mitigate</idno>
<idno type="wicri:Area/Main/Merge">000532</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study</title>
<author><name sortKey="Koo, Joel R" sort="Koo, Joel R" uniqKey="Koo J" first="Joel R" last="Koo">Joel R. Koo</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Cook, Alex R" sort="Cook, Alex R" uniqKey="Cook A" first="Alex R" last="Cook">Alex R. Cook</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Park, Minah" sort="Park, Minah" uniqKey="Park M" first="Minah" last="Park">Minah Park</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Sun, Yinxiaohe" sort="Sun, Yinxiaohe" uniqKey="Sun Y" first="Yinxiaohe" last="Sun">Yinxiaohe Sun</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Sun, Haoyang" sort="Sun, Haoyang" uniqKey="Sun H" first="Haoyang" last="Sun">Haoyang Sun</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Lim, Jue Tao" sort="Lim, Jue Tao" uniqKey="Lim J" first="Jue Tao" last="Lim">Jue Tao Lim</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
<author><name sortKey="Tam, Clarence" sort="Tam, Clarence" uniqKey="Tam C" first="Clarence" last="Tam">Clarence Tam</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
<affiliation wicri:level="3"><nlm:aff id="aff2">London School of Hygiene & Tropical Medicine, London, UK</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>London School of Hygiene & Tropical Medicine, London</wicri:regionArea>
<placeName><settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Dickens, Borame L" sort="Dickens, Borame L" uniqKey="Dickens B" first="Borame L" last="Dickens">Borame L. Dickens</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Saw Swee Hock School of Public Health, National University of Singapore, Singapore</nlm:aff>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Saw Swee Hock School of Public Health, National University of Singapore</wicri:regionArea>
<orgName type="university">Université nationale de Singapour</orgName>
</affiliation>
</author>
</analytic>
<series><title level="j">The Lancet. Infectious Diseases</title>
<idno type="ISSN">1473-3099</idno>
<idno type="eISSN">1474-4457</idno>
<imprint><date when="2020">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><title>Summary</title>
<sec><title>Background</title>
<p>Since the coronavirus disease 2019 outbreak began in the Chinese city of Wuhan on Dec 31, 2019, 68 imported cases and 175 locally acquired infections have been reported in Singapore. We aimed to investigate options for early intervention in Singapore should local containment (eg, preventing disease spread through contact tracing efforts) be unsuccessful.</p>
</sec>
<sec><title>Methods</title>
<p>We adapted an influenza epidemic simulation model to estimate the likelihood of human-to-human transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a simulated Singaporean population. Using this model, we estimated the cumulative number of SARS-CoV-2 infections at 80 days, after detection of 100 cases of community transmission, under three infectivity scenarios (basic reproduction number [<italic>R</italic>
<sub>0</sub>
] of 1·5, 2·0, or 2·5) and assuming 7·5% of infections are asymptomatic. We first ran the model assuming no intervention was in place (baseline scenario), and then assessed the effect of four intervention scenarios compared with a baseline scenario on the size and progression of the outbreak for each <italic>R</italic>
<sub>0</sub>
value. These scenarios included isolation measures for infected individuals and quarantining of family members (hereafter referred to as quarantine); quarantine plus school closure; quarantine plus workplace distancing; and quarantine, school closure, and workplace distancing (hereafter referred to as the combined intervention). We also did sensitivity analyses by altering the asymptomatic fraction of infections (22·7%, 30·0%, 40·0%, and 50·0%) to compare outbreak sizes under the same control measures.</p>
</sec>
<sec><title>Findings</title>
<p>For the baseline scenario, when <italic>R</italic>
<sub>0</sub>
was 1·5, the median cumulative number of infections at day 80 was 279 000 (IQR 245 000–320 000), corresponding to 7·4% (IQR 6·5–8·5) of the resident population of Singapore. The median number of infections increased with higher infectivity: 727 000 cases (670 000–776 000) when <italic>R</italic>
<sub>0</sub>
was 2·0, corresponding to 19·3% (17·8–20·6) of the Singaporean population, and 1 207 000 cases (1 164 000–1 249 000) when <italic>R</italic>
<sub>0</sub>
was 2·5, corresponding to 32% (30·9–33·1) of the Singaporean population. Compared with the baseline scenario, the combined intervention was the most effective, reducing the estimated median number of infections by 99·3% (IQR 92·6–99·9) when <italic>R</italic>
<sub>0</sub>
was 1·5, by 93·0% (81·5–99·7) when <italic>R</italic>
<sub>0</sub>
was 2·0, and by 78·2% (59·0 −94·4) when <italic>R</italic>
<sub>0</sub>
was 2·5. Assuming increasing asymptomatic fractions up to 50·0%, up to 277 000 infections were estimated to occur at day 80 with the combined intervention relative to 1800 for the baseline at <italic>R</italic>
<sub>0</sub>
of 1·5.</p>
</sec>
<sec><title>Interpretation</title>
<p>Implementing the combined intervention of quarantining infected individuals and their family members, workplace distancing, and school closure once community transmission has been detected could substantially reduce the number of SARS-CoV-2 infections. We therefore recommend immediate deployment of this strategy if local secondary transmission is confirmed within Singapore. However, quarantine and workplace distancing should be prioritised over school closure because at this early stage, symptomatic children have higher withdrawal rates from school than do symptomatic adults from work. At higher asymptomatic proportions, intervention effectiveness might be substantially reduced requiring the need for effective case management and treatments, and preventive measures such as vaccines.</p>
</sec>
<sec><title>Funding</title>
<p>Singapore Ministry of Health, Singapore Population Health Improvement Centre.</p>
</sec>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Huang, C" uniqKey="Huang C">C Huang</name>
</author>
<author><name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author><name sortKey="Li, X" uniqKey="Li X">X Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Peiris, Jsm" uniqKey="Peiris J">JSM Peiris</name>
</author>
<author><name sortKey="Guan, Y" uniqKey="Guan Y">Y Guan</name>
</author>
<author><name sortKey="Yuen, Ky" uniqKey="Yuen K">KY Yuen</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Li, Q" uniqKey="Li Q">Q Li</name>
</author>
<author><name sortKey="Guan, X" uniqKey="Guan X">X Guan</name>
</author>
<author><name sortKey="Wu, P" uniqKey="Wu P">P Wu</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Read, Jm" uniqKey="Read J">JM Read</name>
</author>
<author><name sortKey="Bridgen, Jr" uniqKey="Bridgen J">JR Bridgen</name>
</author>
<author><name sortKey="Cummings, Da" uniqKey="Cummings D">DA Cummings</name>
</author>
<author><name sortKey="Ho, A" uniqKey="Ho A">A Ho</name>
</author>
<author><name sortKey="Jewell, Cp" uniqKey="Jewell C">CP Jewell</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wu, Jt" uniqKey="Wu J">JT Wu</name>
</author>
<author><name sortKey="Leung, K" uniqKey="Leung K">K Leung</name>
</author>
<author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Chao, Dl" uniqKey="Chao D">DL Chao</name>
</author>
<author><name sortKey="Halloran, Me" uniqKey="Halloran M">ME Halloran</name>
</author>
<author><name sortKey="Obenchain, Vj" uniqKey="Obenchain V">VJ Obenchain</name>
</author>
<author><name sortKey="Longini, Im" uniqKey="Longini I">IM Longini</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Phan, Tp" uniqKey="Phan T">TP Phan</name>
</author>
<author><name sortKey="Alkema, L" uniqKey="Alkema L">L Alkema</name>
</author>
<author><name sortKey="Tai, Es" uniqKey="Tai E">ES Tai</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Mcbryde, Es" uniqKey="Mcbryde E">ES McBryde</name>
</author>
<author><name sortKey="Gibson, G" uniqKey="Gibson G">G Gibson</name>
</author>
<author><name sortKey="Pettitt, An" uniqKey="Pettitt A">AN Pettitt</name>
</author>
<author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author><name sortKey="Zhao, B" uniqKey="Zhao B">B Zhao</name>
</author>
<author><name sortKey="Mcelwain, Dl" uniqKey="Mcelwain D">DL McElwain</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wilder Smith, A" uniqKey="Wilder Smith A">A Wilder-Smith</name>
</author>
<author><name sortKey="Teleman, Md" uniqKey="Teleman M">MD Teleman</name>
</author>
<author><name sortKey="Heng, Bh" uniqKey="Heng B">BH Heng</name>
</author>
<author><name sortKey="Earnest, A" uniqKey="Earnest A">A Earnest</name>
</author>
<author><name sortKey="Ling, Ae" uniqKey="Ling A">AE Ling</name>
</author>
<author><name sortKey="Leo, Ys" uniqKey="Leo Y">YS Leo</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Meltzer, Mi" uniqKey="Meltzer M">MI Meltzer</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Nishiura, H" uniqKey="Nishiura H">H Nishiura</name>
</author>
<author><name sortKey="Kobayashi, T" uniqKey="Kobayashi T">T Kobayashi</name>
</author>
<author><name sortKey="Yang, Y" uniqKey="Yang Y">Y Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Furuya Kanamori, L" uniqKey="Furuya Kanamori L">L Furuya-Kanamori</name>
</author>
<author><name sortKey="Cox, M" uniqKey="Cox M">M Cox</name>
</author>
<author><name sortKey="Milinovich, Gj" uniqKey="Milinovich G">GJ Milinovich</name>
</author>
<author><name sortKey="Magalhaes, Rj" uniqKey="Magalhaes R">RJ Magalhaes</name>
</author>
<author><name sortKey="Mackay, Im" uniqKey="Mackay I">IM Mackay</name>
</author>
<author><name sortKey="Yakob, L" uniqKey="Yakob L">L Yakob</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Ahmed, F" uniqKey="Ahmed F">F Ahmed</name>
</author>
<author><name sortKey="Zviedrite, N" uniqKey="Zviedrite N">N Zviedrite</name>
</author>
<author><name sortKey="Uzicanin, A" uniqKey="Uzicanin A">A Uzicanin</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Phan, Lt" uniqKey="Phan L">LT Phan</name>
</author>
<author><name sortKey="Nguyen, Tv" uniqKey="Nguyen T">TV Nguyen</name>
</author>
<author><name sortKey="Luong, Qc" uniqKey="Luong Q">QC Luong</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Chen, Y" uniqKey="Chen Y">Y Chen</name>
</author>
<author><name sortKey="Badaruddin, H" uniqKey="Badaruddin H">H Badaruddin</name>
</author>
<author><name sortKey="Lee, Vj" uniqKey="Lee V">VJ Lee</name>
</author>
<author><name sortKey="Cutter, J" uniqKey="Cutter J">J Cutter</name>
</author>
<author><name sortKey="Cook, Ar" uniqKey="Cook A">AR Cook</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Rogerson, A" uniqKey="Rogerson A">A Rogerson</name>
</author>
<author><name sortKey="Stacey, S" uniqKey="Stacey S">S Stacey</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Chu, C Y" uniqKey="Chu C">C-Y Chu</name>
</author>
<author><name sortKey="Li, Cy" uniqKey="Li C">CY Li</name>
</author>
<author><name sortKey="Zhang, H" uniqKey="Zhang H">H Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Corman, Vm" uniqKey="Corman V">VM Corman</name>
</author>
<author><name sortKey="Landt, O" uniqKey="Landt O">O Landt</name>
</author>
<author><name sortKey="Kaiser, M" uniqKey="Kaiser M">M Kaiser</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Donnelly, Ca" uniqKey="Donnelly C">CA Donnelly</name>
</author>
<author><name sortKey="Malik, Mr" uniqKey="Malik M">MR Malik</name>
</author>
<author><name sortKey="Elkholy, A" uniqKey="Elkholy A">A Elkholy</name>
</author>
<author><name sortKey="Cauchemez, S" uniqKey="Cauchemez S">S Cauchemez</name>
</author>
<author><name sortKey="Van Kerkhove, Md" uniqKey="Van Kerkhove M">MD Van Kerkhove</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Ooi, E E" uniqKey="Ooi E">E-E Ooi</name>
</author>
<author><name sortKey="Goh, K T" uniqKey="Goh K">K-T Goh</name>
</author>
<author><name sortKey="Gubler, Dj" uniqKey="Gubler D">DJ Gubler</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000532 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 000532 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= SrasV1 |flux= Main |étape= Merge |type= RBID |clé= PMC:7158571 |texte= Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Merge/RBID.i -Sk "pubmed:32213332" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Merge/biblio.hfd \ | NlmPubMed2Wicri -a SrasV1
This area was generated with Dilib version V0.6.33. |