Management of blood supplies during an influenza pandemic.
Identifieur interne : 000346 ( Main/Exploration ); précédent : 000345; suivant : 000347Management of blood supplies during an influenza pandemic.
Auteurs : Christel Kamp [Allemagne] ; Margarethe Heiden ; Olaf Henseler ; Rainer SeitzSource :
- Transfusion [ 1537-2995 ] ; 2010.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Allemagne (épidémiologie), Banques de sang (normes), Banques de sang (statistiques et données numériques), Donneurs de sang (ressources et distribution), Donneurs de sang (statistiques et données numériques), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Grippe humaine (prévention et contrôle), Grippe humaine (sang), Humains (MeSH), Jeune adulte (MeSH), Modèles statistiques (MeSH), Protection civile (méthodes), Protection civile (statistiques et données numériques), Saisons (MeSH), Simulation numérique (MeSH), Transfusion d'érythrocytes (normes), Transfusion d'érythrocytes (statistiques et données numériques), Épidémies de maladies (prévention et contrôle), Épidémies de maladies (statistiques et données numériques).
- MESH :
- méthodes : Protection civile.
- normes : Banques de sang, Transfusion d'érythrocytes.
- prévention et contrôle : Grippe humaine, Épidémies de maladies.
- ressources et distribution : Donneurs de sang.
- sang : Grippe humaine.
- statistiques et données numériques : Banques de sang, Donneurs de sang, Protection civile, Transfusion d'érythrocytes, Épidémies de maladies.
- épidémiologie : Allemagne.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Humains, Jeune adulte, Modèles statistiques, Saisons, Simulation numérique.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Blood Banks (standards), Blood Banks (statistics & numerical data), Blood Donors (statistics & numerical data), Blood Donors (supply & distribution), Child (MeSH), Child, Preschool (MeSH), Civil Defense (methods), Civil Defense (statistics & numerical data), Computer Simulation (MeSH), Disease Outbreaks (prevention & control), Disease Outbreaks (statistics & numerical data), Erythrocyte Transfusion (standards), Erythrocyte Transfusion (statistics & numerical data), Germany (epidemiology), Humans (MeSH), Influenza, Human (blood), Influenza, Human (prevention & control), Middle Aged (MeSH), Models, Statistical (MeSH), Seasons (MeSH), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Germany.
- blood : Influenza, Human.
- methods : Civil Defense.
- prevention & control : Disease Outbreaks, Influenza, Human.
- standards : Blood Banks, Erythrocyte Transfusion.
- statistics & numerical data : Blood Banks, Blood Donors, Civil Defense, Disease Outbreaks, Erythrocyte Transfusion.
- supply & distribution : Blood Donors.
- Adolescent, Adult, Child, Child, Preschool, Computer Simulation, Humans, Middle Aged, Models, Statistical, Seasons, Young Adult.
Abstract
BACKGROUND
Blood supplies are delicate resources, particularly vulnerable to incidents affecting the health of donors. The critical impact of a pandemic on the availability of red blood cells (RBCs) has been demonstrated in previous research; however, a detailed estimate of the expected deficit is missing. This has become a priority issue in the face of the current influenza pandemic.
STUDY DESIGN AND METHODS
Data from several major blood donation services were used to analyze management of blood supplies in Germany. Routine management of RBCs was extrapolated to epidemic and pandemic situations using computer simulations with a mathematical model that allows for analysis of deficits in blood supplies.
RESULTS
Routine management and distribution of RBCs are driven by supply, which has marked fluctuations but does not appear to have seasonality. There seems to be a remarkable elasticity in the demand for RBCs that helps to mitigate minor crises in supply, but this is likely to be overstretched during a severe pandemic.
CONCLUSION
The supply-driven management of RBCs in Germany implies that assessment of severity of shortages due to a pandemic depends on detailed knowledge about the fraction of transfusions that do not allow for postponement. Pandemic preparedness should include criteria for prioritization of transfusions.
DOI: 10.1111/j.1537-2995.2009.02498.x
PubMed: 20002894
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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uniqKey="Henseler O" first="Olaf" last="Henseler">Olaf Henseler</name></author><author><name sortKey="Seitz, Rainer" sort="Seitz, Rainer" uniqKey="Seitz R" first="Rainer" last="Seitz">Rainer Seitz</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20002894</idno><idno type="pmid">20002894</idno><idno type="doi">10.1111/j.1537-2995.2009.02498.x</idno><idno type="wicri:Area/Main/Corpus">000366</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000366</idno><idno type="wicri:Area/Main/Curation">000366</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000366</idno><idno type="wicri:Area/Main/Exploration">000366</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Management of blood supplies during an influenza pandemic.</title><author><name sortKey="Kamp, Christel" sort="Kamp, Christel" uniqKey="Kamp C" first="Christel" last="Kamp">Christel Kamp</name><affiliation wicri:level="1"><nlm:affiliation>Section of Biostatistics, Paul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, Langen, Germany. kamch@pei.de</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Section of Biostatistics, Paul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, Langen</wicri:regionArea><wicri:noRegion>Langen</wicri:noRegion><wicri:noRegion>Langen</wicri:noRegion><wicri:noRegion>Langen</wicri:noRegion></affiliation></author><author><name sortKey="Heiden, Margarethe" sort="Heiden, Margarethe" uniqKey="Heiden M" first="Margarethe" last="Heiden">Margarethe Heiden</name></author><author><name sortKey="Henseler, Olaf" sort="Henseler, Olaf" uniqKey="Henseler O" first="Olaf" last="Henseler">Olaf Henseler</name></author><author><name sortKey="Seitz, Rainer" sort="Seitz, Rainer" uniqKey="Seitz R" first="Rainer" last="Seitz">Rainer Seitz</name></author></analytic><series><title level="j">Transfusion</title><idno type="eISSN">1537-2995</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Blood Banks (standards)</term><term>Blood Banks (statistics & numerical data)</term><term>Blood Donors (statistics & numerical data)</term><term>Blood Donors (supply & distribution)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Civil Defense (methods)</term><term>Civil Defense (statistics & numerical data)</term><term>Computer Simulation (MeSH)</term><term>Disease Outbreaks (prevention & control)</term><term>Disease Outbreaks (statistics & numerical data)</term><term>Erythrocyte Transfusion (standards)</term><term>Erythrocyte Transfusion (statistics & numerical data)</term><term>Germany (epidemiology)</term><term>Humans (MeSH)</term><term>Influenza, Human (blood)</term><term>Influenza, Human (prevention & control)</term><term>Middle Aged (MeSH)</term><term>Models, Statistical (MeSH)</term><term>Seasons (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Allemagne (épidémiologie)</term><term>Banques de sang (normes)</term><term>Banques de sang (statistiques et données numériques)</term><term>Donneurs de sang (ressources et distribution)</term><term>Donneurs de sang (statistiques et données numériques)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Grippe humaine (prévention et contrôle)</term><term>Grippe humaine (sang)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Modèles statistiques (MeSH)</term><term>Protection civile (méthodes)</term><term>Protection civile (statistiques et données numériques)</term><term>Saisons (MeSH)</term><term>Simulation numérique (MeSH)</term><term>Transfusion d'érythrocytes (normes)</term><term>Transfusion d'érythrocytes (statistiques et données numériques)</term><term>Épidémies de maladies (prévention et contrôle)</term><term>Épidémies de maladies (statistiques et données numériques)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Civil Defense</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Protection civile</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Banques de sang</term><term>Transfusion d'érythrocytes</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Disease Outbreaks</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Grippe humaine</term><term>Épidémies de maladies</term></keywords><keywords scheme="MESH" qualifier="ressources et distribution" xml:lang="fr"><term>Donneurs de sang</term></keywords><keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Blood Banks</term><term>Erythrocyte Transfusion</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Blood Banks</term><term>Blood Donors</term><term>Civil Defense</term><term>Disease Outbreaks</term><term>Erythrocyte Transfusion</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Banques de sang</term><term>Donneurs de sang</term><term>Protection civile</term><term>Transfusion d'érythrocytes</term><term>Épidémies de maladies</term></keywords><keywords scheme="MESH" qualifier="supply & distribution" xml:lang="en"><term>Blood Donors</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Child</term><term>Child, Preschool</term><term>Computer Simulation</term><term>Humans</term><term>Middle Aged</term><term>Models, Statistical</term><term>Seasons</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Humains</term><term>Jeune adulte</term><term>Modèles statistiques</term><term>Saisons</term><term>Simulation numérique</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Blood supplies are delicate resources, particularly vulnerable to incidents affecting the health of donors. The critical impact of a pandemic on the availability of red blood cells (RBCs) has been demonstrated in previous research; however, a detailed estimate of the expected deficit is missing. This has become a priority issue in the face of the current influenza pandemic.</p></div><div type="abstract" xml:lang="en"><p><b>STUDY DESIGN AND METHODS</b></p><p>Data from several major blood donation services were used to analyze management of blood supplies in Germany. Routine management of RBCs was extrapolated to epidemic and pandemic situations using computer simulations with a mathematical model that allows for analysis of deficits in blood supplies.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Routine management and distribution of RBCs are driven by supply, which has marked fluctuations but does not appear to have seasonality. There seems to be a remarkable elasticity in the demand for RBCs that helps to mitigate minor crises in supply, but this is likely to be overstretched during a severe pandemic.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>The supply-driven management of RBCs in Germany implies that assessment of severity of shortages due to a pandemic depends on detailed knowledge about the fraction of transfusions that do not allow for postponement. Pandemic preparedness should include criteria for prioritization of transfusions.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20002894</PMID><DateCompleted><Year>2010</Year><Month>04</Month><Day>08</Day></DateCompleted><DateRevised><Year>2010</Year><Month>03</Month><Day>17</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1537-2995</ISSN><JournalIssue CitedMedium="Internet"><Volume>50</Volume><Issue>1</Issue><PubDate><Year>2010</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Transfusion</Title><ISOAbbreviation>Transfusion</ISOAbbreviation></Journal><ArticleTitle>Management of blood supplies during an influenza pandemic.</ArticleTitle><Pagination><MedlinePgn>231-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/j.1537-2995.2009.02498.x</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Blood supplies are delicate resources, particularly vulnerable to incidents affecting the health of donors. The critical impact of a pandemic on the availability of red blood cells (RBCs) has been demonstrated in previous research; however, a detailed estimate of the expected deficit is missing. This has become a priority issue in the face of the current influenza pandemic.</AbstractText><AbstractText Label="STUDY DESIGN AND METHODS" NlmCategory="METHODS">Data from several major blood donation services were used to analyze management of blood supplies in Germany. Routine management of RBCs was extrapolated to epidemic and pandemic situations using computer simulations with a mathematical model that allows for analysis of deficits in blood supplies.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Routine management and distribution of RBCs are driven by supply, which has marked fluctuations but does not appear to have seasonality. There seems to be a remarkable elasticity in the demand for RBCs that helps to mitigate minor crises in supply, but this is likely to be overstretched during a severe pandemic.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The supply-driven management of RBCs in Germany implies that assessment of severity of shortages due to a pandemic depends on detailed knowledge about the fraction of transfusions that do not allow for postponement. Pandemic preparedness should include criteria for prioritization of transfusions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kamp</LastName><ForeName>Christel</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Section of Biostatistics, Paul-Ehrlich-Institut, Federal Institute for Vaccines and Biomedicines, Langen, Germany. kamch@pei.de</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Heiden</LastName><ForeName>Margarethe</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Henseler</LastName><ForeName>Olaf</ForeName><Initials>O</Initials></Author><Author ValidYN="Y"><LastName>Seitz</LastName><ForeName>Rainer</ForeName><Initials>R</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2009</Year><Month>12</Month><Day>09</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Transfusion</MedlineTA><NlmUniqueID>0417360</NlmUniqueID><ISSNLinking>0041-1132</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001771" MajorTopicYN="N">Blood Banks</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001782" MajorTopicYN="N">Blood Donors</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName><QualifierName UI="Q000600" MajorTopicYN="N">supply & distribution</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002959" MajorTopicYN="N">Civil Defense</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017707" MajorTopicYN="N">Erythrocyte Transfusion</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="Y">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2009</Year><Month>12</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2009</Year><Month>12</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>4</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20002894</ArticleId><ArticleId IdType="pii">TRF2498</ArticleId><ArticleId IdType="doi">10.1111/j.1537-2995.2009.02498.x</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country></list><tree><noCountry><name sortKey="Heiden, Margarethe" sort="Heiden, Margarethe" uniqKey="Heiden M" first="Margarethe" last="Heiden">Margarethe Heiden</name><name sortKey="Henseler, Olaf" sort="Henseler, Olaf" uniqKey="Henseler O" first="Olaf" last="Henseler">Olaf Henseler</name><name sortKey="Seitz, Rainer" sort="Seitz, Rainer" uniqKey="Seitz R" first="Rainer" last="Seitz">Rainer Seitz</name></noCountry><country name="Allemagne"><noRegion><name sortKey="Kamp, Christel" sort="Kamp, Christel" uniqKey="Kamp C" first="Christel" last="Kamp">Christel Kamp</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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