Serveur d'exploration Stress et Covid

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning

Identifieur interne : 000E85 ( Ncbi/Merge ); précédent : 000E84; suivant : 000E86

Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning

Auteurs : Lee Myers ; Sudheer Balakrishnan ; Sravanthi Reddy ; Ali Gholamrezanezhad

Source :

RBID : PMC:7128279

Abstract

On March 11, 2020, the World Health Organization declared a coronavirus disease 2019 (COVID-19) pandemic. Health care systems worldwide should be prepared for an unusually high volume of patients in the next few weeks to months. Even the most efficient radiology department will undergo tremendous stress when victims of a mass casualty flood the emergency department and in turn the radiology department. A significant increase is expected in the number of imaging studies ordered for the initial diagnosis and treatment follow-up of cases of COVID-19. Here, we highlight recommendations for developing and implementing a mass casualty incident (MCI) plan for a viral outbreak, such as the current COVID-19 infection. The MCI plan consists of several steps, including preparation, mobilization of resources, imaging chain, adjusting imaging protocols, and education, such as MCI plan simulation and in-service training. Having an MCI plan in place for a viral outbreak will protect patients and staff and ultimately decrease virus transmission. The use of simulations will help identify throughput and logistical issues.


Url:
DOI: 10.1016/j.jacr.2020.03.025
PubMed: 32304643
PubMed Central: 7128279

Links toward previous steps (curation, corpus...)


Links to Exploration step

PMC:7128279

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning</title>
<author>
<name sortKey="Myers, Lee" sort="Myers, Lee" uniqKey="Myers L" first="Lee" last="Myers">Lee Myers</name>
</author>
<author>
<name sortKey="Balakrishnan, Sudheer" sort="Balakrishnan, Sudheer" uniqKey="Balakrishnan S" first="Sudheer" last="Balakrishnan">Sudheer Balakrishnan</name>
</author>
<author>
<name sortKey="Reddy, Sravanthi" sort="Reddy, Sravanthi" uniqKey="Reddy S" first="Sravanthi" last="Reddy">Sravanthi Reddy</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">32304643</idno>
<idno type="pmc">7128279</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7128279</idno>
<idno type="RBID">PMC:7128279</idno>
<idno type="doi">10.1016/j.jacr.2020.03.025</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">000696</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000696</idno>
<idno type="wicri:Area/Pmc/Curation">000696</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000696</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000494</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000494</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:32304643</idno>
<idno type="wicri:Area/PubMed/Corpus">000061</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000061</idno>
<idno type="wicri:Area/PubMed/Curation">000061</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000061</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000131</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000131</idno>
<idno type="wicri:Area/Ncbi/Merge">000E85</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning</title>
<author>
<name sortKey="Myers, Lee" sort="Myers, Lee" uniqKey="Myers L" first="Lee" last="Myers">Lee Myers</name>
</author>
<author>
<name sortKey="Balakrishnan, Sudheer" sort="Balakrishnan, Sudheer" uniqKey="Balakrishnan S" first="Sudheer" last="Balakrishnan">Sudheer Balakrishnan</name>
</author>
<author>
<name sortKey="Reddy, Sravanthi" sort="Reddy, Sravanthi" uniqKey="Reddy S" first="Sravanthi" last="Reddy">Sravanthi Reddy</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name>
</author>
</analytic>
<series>
<title level="j">Journal of the American College of Radiology</title>
<idno type="ISSN">1546-1440</idno>
<idno type="eISSN">1558-349X</idno>
<imprint>
<date when="2020">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>On March 11, 2020, the World Health Organization declared a coronavirus disease 2019 (COVID-19) pandemic. Health care systems worldwide should be prepared for an unusually high volume of patients in the next few weeks to months. Even the most efficient radiology department will undergo tremendous stress when victims of a mass casualty flood the emergency department and in turn the radiology department. A significant increase is expected in the number of imaging studies ordered for the initial diagnosis and treatment follow-up of cases of COVID-19. Here, we highlight recommendations for developing and implementing a mass casualty incident (MCI) plan for a viral outbreak, such as the current COVID-19 infection. The MCI plan consists of several steps, including preparation, mobilization of resources, imaging chain, adjusting imaging protocols, and education, such as MCI plan simulation and in-service training. Having an MCI plan in place for a viral outbreak will protect patients and staff and ultimately decrease virus transmission. The use of simulations will help identify throughput and logistical issues.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Ryan, J W" uniqKey="Ryan J">J.W. Ryan</name>
</author>
<author>
<name sortKey="Murphy, A" uniqKey="Murphy A">A. Murphy</name>
</author>
<author>
<name sortKey="Macmahon, P J" uniqKey="Macmahon P">P.J. MacMahon</name>
</author>
<author>
<name sortKey="Bolster, F" uniqKey="Bolster F">F. Bolster</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wax, R S" uniqKey="Wax R">R.S. Wax</name>
</author>
<author>
<name sortKey="Christian, M D" uniqKey="Christian M">M.D. Christian</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Munster, V J" uniqKey="Munster V">V.J. Munster</name>
</author>
<author>
<name sortKey="Koopmans, M" uniqKey="Koopmans M">M. Koopmans</name>
</author>
<author>
<name sortKey="Van Doremalen, N" uniqKey="Van Doremalen N">N. van Doremalen</name>
</author>
<author>
<name sortKey="Van Riel, D" uniqKey="Van Riel D">D. van Riel</name>
</author>
<author>
<name sortKey="De Wit, E" uniqKey="De Wit E">E. de Wit</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hosseiny, M" uniqKey="Hosseiny M">M. Hosseiny</name>
</author>
<author>
<name sortKey="Kooraki, S" uniqKey="Kooraki S">S. Kooraki</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, A" uniqKey="Gholamrezanezhad A">A. Gholamrezanezhad</name>
</author>
<author>
<name sortKey="Reddy, S" uniqKey="Reddy S">S. Reddy</name>
</author>
<author>
<name sortKey="Myers, L" uniqKey="Myers L">L. Myers</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ai, T" uniqKey="Ai T">T. Ai</name>
</author>
<author>
<name sortKey="Yang, Z" uniqKey="Yang Z">Z. Yang</name>
</author>
<author>
<name sortKey="Hou, H" uniqKey="Hou H">H. Hou</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Liu, R" uniqKey="Liu R">R. Liu</name>
</author>
<author>
<name sortKey="Han, H" uniqKey="Han H">H. Han</name>
</author>
<author>
<name sortKey="Liu, F" uniqKey="Liu F">F. Liu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="To, K K" uniqKey="To K">K.K. To</name>
</author>
<author>
<name sortKey="Tsang, O T" uniqKey="Tsang O">O.T. Tsang</name>
</author>
<author>
<name sortKey="Chik Yan Yip, C" uniqKey="Chik Yan Yip C">C. Chik-Yan Yip</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Berger, F H" uniqKey="Berger F">F.H. Berger</name>
</author>
<author>
<name sortKey="Korner, M" uniqKey="Korner M">M. Korner</name>
</author>
<author>
<name sortKey="Bernstein, M P" uniqKey="Bernstein M">M.P. Bernstein</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kooraki, S" uniqKey="Kooraki S">S. Kooraki</name>
</author>
<author>
<name sortKey="Hosseiny, M" uniqKey="Hosseiny M">M. Hosseiny</name>
</author>
<author>
<name sortKey="Myers, L" uniqKey="Myers L">L. Myers</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, A" uniqKey="Gholamrezanezhad A">A. Gholamrezanezhad</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bolster, F" uniqKey="Bolster F">F. Bolster</name>
</author>
<author>
<name sortKey="Linnau, K" uniqKey="Linnau K">K. Linnau</name>
</author>
<author>
<name sortKey="Mitchell, S" uniqKey="Mitchell S">S. Mitchell</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Campion, E M" uniqKey="Campion E">E.M. Campion</name>
</author>
<author>
<name sortKey="Juillard, C" uniqKey="Juillard C">C. Juillard</name>
</author>
<author>
<name sortKey="Knudson, M M" uniqKey="Knudson M">M.M. Knudson</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Claudius, I" uniqKey="Claudius I">I. Claudius</name>
</author>
<author>
<name sortKey="Kaji, A" uniqKey="Kaji A">A. Kaji</name>
</author>
<author>
<name sortKey="Santillanes, G" uniqKey="Santillanes G">G. Santillanes</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<double pmid="32304643">
<pmc>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning</title>
<author>
<name sortKey="Myers, Lee" sort="Myers, Lee" uniqKey="Myers L" first="Lee" last="Myers">Lee Myers</name>
</author>
<author>
<name sortKey="Balakrishnan, Sudheer" sort="Balakrishnan, Sudheer" uniqKey="Balakrishnan S" first="Sudheer" last="Balakrishnan">Sudheer Balakrishnan</name>
</author>
<author>
<name sortKey="Reddy, Sravanthi" sort="Reddy, Sravanthi" uniqKey="Reddy S" first="Sravanthi" last="Reddy">Sravanthi Reddy</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">32304643</idno>
<idno type="pmc">7128279</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7128279</idno>
<idno type="RBID">PMC:7128279</idno>
<idno type="doi">10.1016/j.jacr.2020.03.025</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">000696</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000696</idno>
<idno type="wicri:Area/Pmc/Curation">000696</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000696</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000494</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000494</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning</title>
<author>
<name sortKey="Myers, Lee" sort="Myers, Lee" uniqKey="Myers L" first="Lee" last="Myers">Lee Myers</name>
</author>
<author>
<name sortKey="Balakrishnan, Sudheer" sort="Balakrishnan, Sudheer" uniqKey="Balakrishnan S" first="Sudheer" last="Balakrishnan">Sudheer Balakrishnan</name>
</author>
<author>
<name sortKey="Reddy, Sravanthi" sort="Reddy, Sravanthi" uniqKey="Reddy S" first="Sravanthi" last="Reddy">Sravanthi Reddy</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name>
</author>
</analytic>
<series>
<title level="j">Journal of the American College of Radiology</title>
<idno type="ISSN">1546-1440</idno>
<idno type="eISSN">1558-349X</idno>
<imprint>
<date when="2020">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>On March 11, 2020, the World Health Organization declared a coronavirus disease 2019 (COVID-19) pandemic. Health care systems worldwide should be prepared for an unusually high volume of patients in the next few weeks to months. Even the most efficient radiology department will undergo tremendous stress when victims of a mass casualty flood the emergency department and in turn the radiology department. A significant increase is expected in the number of imaging studies ordered for the initial diagnosis and treatment follow-up of cases of COVID-19. Here, we highlight recommendations for developing and implementing a mass casualty incident (MCI) plan for a viral outbreak, such as the current COVID-19 infection. The MCI plan consists of several steps, including preparation, mobilization of resources, imaging chain, adjusting imaging protocols, and education, such as MCI plan simulation and in-service training. Having an MCI plan in place for a viral outbreak will protect patients and staff and ultimately decrease virus transmission. The use of simulations will help identify throughput and logistical issues.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Ryan, J W" uniqKey="Ryan J">J.W. Ryan</name>
</author>
<author>
<name sortKey="Murphy, A" uniqKey="Murphy A">A. Murphy</name>
</author>
<author>
<name sortKey="Macmahon, P J" uniqKey="Macmahon P">P.J. MacMahon</name>
</author>
<author>
<name sortKey="Bolster, F" uniqKey="Bolster F">F. Bolster</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wax, R S" uniqKey="Wax R">R.S. Wax</name>
</author>
<author>
<name sortKey="Christian, M D" uniqKey="Christian M">M.D. Christian</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Munster, V J" uniqKey="Munster V">V.J. Munster</name>
</author>
<author>
<name sortKey="Koopmans, M" uniqKey="Koopmans M">M. Koopmans</name>
</author>
<author>
<name sortKey="Van Doremalen, N" uniqKey="Van Doremalen N">N. van Doremalen</name>
</author>
<author>
<name sortKey="Van Riel, D" uniqKey="Van Riel D">D. van Riel</name>
</author>
<author>
<name sortKey="De Wit, E" uniqKey="De Wit E">E. de Wit</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hosseiny, M" uniqKey="Hosseiny M">M. Hosseiny</name>
</author>
<author>
<name sortKey="Kooraki, S" uniqKey="Kooraki S">S. Kooraki</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, A" uniqKey="Gholamrezanezhad A">A. Gholamrezanezhad</name>
</author>
<author>
<name sortKey="Reddy, S" uniqKey="Reddy S">S. Reddy</name>
</author>
<author>
<name sortKey="Myers, L" uniqKey="Myers L">L. Myers</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ai, T" uniqKey="Ai T">T. Ai</name>
</author>
<author>
<name sortKey="Yang, Z" uniqKey="Yang Z">Z. Yang</name>
</author>
<author>
<name sortKey="Hou, H" uniqKey="Hou H">H. Hou</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Liu, R" uniqKey="Liu R">R. Liu</name>
</author>
<author>
<name sortKey="Han, H" uniqKey="Han H">H. Han</name>
</author>
<author>
<name sortKey="Liu, F" uniqKey="Liu F">F. Liu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="To, K K" uniqKey="To K">K.K. To</name>
</author>
<author>
<name sortKey="Tsang, O T" uniqKey="Tsang O">O.T. Tsang</name>
</author>
<author>
<name sortKey="Chik Yan Yip, C" uniqKey="Chik Yan Yip C">C. Chik-Yan Yip</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Berger, F H" uniqKey="Berger F">F.H. Berger</name>
</author>
<author>
<name sortKey="Korner, M" uniqKey="Korner M">M. Korner</name>
</author>
<author>
<name sortKey="Bernstein, M P" uniqKey="Bernstein M">M.P. Bernstein</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kooraki, S" uniqKey="Kooraki S">S. Kooraki</name>
</author>
<author>
<name sortKey="Hosseiny, M" uniqKey="Hosseiny M">M. Hosseiny</name>
</author>
<author>
<name sortKey="Myers, L" uniqKey="Myers L">L. Myers</name>
</author>
<author>
<name sortKey="Gholamrezanezhad, A" uniqKey="Gholamrezanezhad A">A. Gholamrezanezhad</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bolster, F" uniqKey="Bolster F">F. Bolster</name>
</author>
<author>
<name sortKey="Linnau, K" uniqKey="Linnau K">K. Linnau</name>
</author>
<author>
<name sortKey="Mitchell, S" uniqKey="Mitchell S">S. Mitchell</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Campion, E M" uniqKey="Campion E">E.M. Campion</name>
</author>
<author>
<name sortKey="Juillard, C" uniqKey="Juillard C">C. Juillard</name>
</author>
<author>
<name sortKey="Knudson, M M" uniqKey="Knudson M">M.M. Knudson</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Claudius, I" uniqKey="Claudius I">I. Claudius</name>
</author>
<author>
<name sortKey="Kaji, A" uniqKey="Kaji A">A. Kaji</name>
</author>
<author>
<name sortKey="Santillanes, G" uniqKey="Santillanes G">G. Santillanes</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
</pmc>
<pubmed>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning.</title>
<author>
<name sortKey="Myers, Lee" sort="Myers, Lee" uniqKey="Myers L" first="Lee" last="Myers">Lee Myers</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California. Electronic address: Leemyers@med.usc.edu.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
<author>
<name sortKey="Balakrishnan, Sudheer" sort="Balakrishnan, Sudheer" uniqKey="Balakrishnan S" first="Sudheer" last="Balakrishnan">Sudheer Balakrishnan</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
<author>
<name sortKey="Reddy, Sravanthi" sort="Reddy, Sravanthi" uniqKey="Reddy S" first="Sravanthi" last="Reddy">Sravanthi Reddy</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
<author>
<name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32304643</idno>
<idno type="pmid">32304643</idno>
<idno type="doi">10.1016/j.jacr.2020.03.025</idno>
<idno type="wicri:Area/PubMed/Corpus">000061</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000061</idno>
<idno type="wicri:Area/PubMed/Curation">000061</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000061</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000131</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000131</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning.</title>
<author>
<name sortKey="Myers, Lee" sort="Myers, Lee" uniqKey="Myers L" first="Lee" last="Myers">Lee Myers</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California. Electronic address: Leemyers@med.usc.edu.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
<author>
<name sortKey="Balakrishnan, Sudheer" sort="Balakrishnan, Sudheer" uniqKey="Balakrishnan S" first="Sudheer" last="Balakrishnan">Sudheer Balakrishnan</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
<author>
<name sortKey="Reddy, Sravanthi" sort="Reddy, Sravanthi" uniqKey="Reddy S" first="Sravanthi" last="Reddy">Sravanthi Reddy</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
<author>
<name sortKey="Gholamrezanezhad, Ali" sort="Gholamrezanezhad, Ali" uniqKey="Gholamrezanezhad A" first="Ali" last="Gholamrezanezhad">Ali Gholamrezanezhad</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles, California.</nlm:affiliation>
<country>États-Unis</country>
<placeName>
<region type="state">Californie</region>
</placeName>
<wicri:cityArea>Department of Radiology, University of Southern California, Keck School of Medicine, Los Angeles</wicri:cityArea>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Journal of the American College of Radiology : JACR</title>
<idno type="eISSN">1558-349X</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">On March 11, 2020, the World Health Organization declared a coronavirus disease 2019 (COVID-19) pandemic. Health care systems worldwide should be prepared for an unusually high volume of patients in the next few weeks to months. Even the most efficient radiology department will undergo tremendous stress when victims of a mass casualty flood the emergency department and in turn the radiology department. A significant increase is expected in the number of imaging studies ordered for the initial diagnosis and treatment follow-up of cases of COVID-19. Here, we highlight recommendations for developing and implementing a mass casualty incident (MCI) plan for a viral outbreak, such as the current COVID-19 infection. The MCI plan consists of several steps, including preparation, mobilization of resources, imaging chain, adjusting imaging protocols, and education, such as MCI plan simulation and in-service training. Having an MCI plan in place for a viral outbreak will protect patients and staff and ultimately decrease virus transmission. The use of simulations will help identify throughput and logistical issues.</div>
</front>
</TEI>
</pubmed>
</double>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/StressCovidV1/Data/Ncbi/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000E85 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd -nk 000E85 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    StressCovidV1
   |flux=    Ncbi
   |étape=   Merge
   |type=    RBID
   |clé=     PMC:7128279
   |texte=   Coronavirus Outbreak: Is Radiology Ready? Mass Casualty Incident Planning
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/RBID.i   -Sk "pubmed:32304643" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd   \
       | NlmPubMed2Wicri -a StressCovidV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Wed May 6 16:44:09 2020. Site generation: Sun Mar 28 08:26:57 2021