Geographical variation in relative risks associated with cold waves in Spain: The need for a cold wave prevention plan.
Identifieur interne : 000145 ( Main/Exploration ); précédent : 000144; suivant : 000146Geographical variation in relative risks associated with cold waves in Spain: The need for a cold wave prevention plan.
Auteurs : R. Carmona [Espagne] ; J. Díaz [Espagne] ; I J Mir N [Espagne] ; C. Ortíz [Espagne] ; I. Le N [Espagne] ; C. Linares [Espagne]Source :
- Environment international [ 1873-6750 ] ; 2016.
Descripteurs français
- KwdFr :
- MESH :
- mortalité : Maladies cardiovasculaires.
- méthodes : Services de médecine préventive.
- épidémiologie : Espagne.
- Cause de décès, Facteurs de risque, Femelle, Humains, Modèles linéaires, Mâle, Santé publique.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Spain.
- adverse effects : Extreme Cold Weather.
- methods : Preventive Health Services.
- mortality : Cardiovascular Diseases.
- Cause of Death, Female, Humans, Linear Models, Male, Public Health, Risk Factors.
Abstract
In general, there are few studies that analyse the impact of low temperatures on mortality and fewer still that use cold-wave-definition thresholds based on epidemiological and non-climatological criteria. Such a threshold definition, which took into account population features such as socio-economic and demographic characteristics, made it possible for a specific threshold temperature to be obtained for each of Spain's 52 provincial capitals in this study. Using generalised linear models with the Poisson regression link, and controlling for trend, autocorrelations and seasonalities of the series, and influenza epidemics, we obtained the impact of low temperatures on mortality in each provincial capital by calculating the relative risks (RRs) and attributable risks (ARs) for natural as well as circulatory and respiratory causes. The study showed higher minimum temperature thresholds in coastal areas, and an overall impact of cold on mortality in Spain due to natural causes RR=1.13 (95% CI: 1.11-1.16), circulatory causes RR=1.18 (95% CI: 1.15-1.22) and respiratory causes RR=1.24 (95% CI: 1.20-1.29) slightly greater than that obtained to date for heat. From a public health standpoint, there is a need for specific cold wave prevention plans at a regional level which would enable mortality attributable to low temperatures to be reduced. These plans have shown themselves to be effective in decreasing heat-related mortality, and we feel that they are essential for reducing cold-related effects on morbidity and mortality.
DOI: 10.1016/j.envint.2015.12.027
PubMed: 26735348
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Geographical variation in relative risks associated with cold waves in Spain: The need for a cold wave prevention plan.</title><author><name sortKey="Carmona, R" sort="Carmona, R" uniqKey="Carmona R" first="R" last="Carmona">R. Carmona</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain. Electronic address: rocio.carmona@isciii.es.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Diaz, J" sort="Diaz, J" uniqKey="Diaz J" first="J" last="Díaz">J. Díaz</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Mir N, I J" sort="Mir N, I J" uniqKey="Mir N I" first="I J" last="Mir N">I J Mir N</name><affiliation wicri:level="1"><nlm:affiliation>Torrijos Public Health District, Castile-La Mancha Regional Health & Social Affairs Authority (Consejería de Sanidad y Asuntos Sociales de Castilla-La Mancha), Torrijos, Toledo, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Torrijos Public Health District, Castile-La Mancha Regional Health & Social Affairs Authority (Consejería de Sanidad y Asuntos Sociales de Castilla-La Mancha), Torrijos, Toledo</wicri:regionArea><wicri:noRegion>Toledo</wicri:noRegion></affiliation></author><author><name sortKey="Ortiz, C" sort="Ortiz, C" uniqKey="Ortiz C" first="C" last="Ortíz">C. Ortíz</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Le N, I" sort="Le N, I" uniqKey="Le N I" first="I" last="Le N">I. Le N</name><affiliation wicri:level="3"><nlm:affiliation>National Center of Epidemiology, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National Center of Epidemiology, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Linares, C" sort="Linares, C" uniqKey="Linares C" first="C" last="Linares">C. Linares</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:26735348</idno><idno type="pmid">26735348</idno><idno type="doi">10.1016/j.envint.2015.12.027</idno><idno type="wicri:Area/Main/Corpus">00152</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">00152</idno><idno type="wicri:Area/Main/Curation">000152</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000152</idno><idno type="wicri:Area/Main/Exploration">000152</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Geographical variation in relative risks associated with cold waves in Spain: The need for a cold wave prevention plan.</title><author><name sortKey="Carmona, R" sort="Carmona, R" uniqKey="Carmona R" first="R" last="Carmona">R. Carmona</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain. Electronic address: rocio.carmona@isciii.es.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Diaz, J" sort="Diaz, J" uniqKey="Diaz J" first="J" last="Díaz">J. Díaz</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Mir N, I J" sort="Mir N, I J" uniqKey="Mir N I" first="I J" last="Mir N">I J Mir N</name><affiliation wicri:level="1"><nlm:affiliation>Torrijos Public Health District, Castile-La Mancha Regional Health & Social Affairs Authority (Consejería de Sanidad y Asuntos Sociales de Castilla-La Mancha), Torrijos, Toledo, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Torrijos Public Health District, Castile-La Mancha Regional Health & Social Affairs Authority (Consejería de Sanidad y Asuntos Sociales de Castilla-La Mancha), Torrijos, Toledo</wicri:regionArea><wicri:noRegion>Toledo</wicri:noRegion></affiliation></author><author><name sortKey="Ortiz, C" sort="Ortiz, C" uniqKey="Ortiz C" first="C" last="Ortíz">C. Ortíz</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Le N, I" sort="Le N, I" uniqKey="Le N I" first="I" last="Le N">I. Le N</name><affiliation wicri:level="3"><nlm:affiliation>National Center of Epidemiology, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National Center of Epidemiology, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Linares, C" sort="Linares, C" uniqKey="Linares C" first="C" last="Linares">C. Linares</name><affiliation wicri:level="3"><nlm:affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>National School of Public Health, Carlos III Institute of Health, Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author></analytic><series><title level="j">Environment international</title><idno type="eISSN">1873-6750</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cardiovascular Diseases (mortality)</term><term>Cause of Death (MeSH)</term><term>Extreme Cold Weather (adverse effects)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Linear Models (MeSH)</term><term>Male (MeSH)</term><term>Preventive Health Services (methods)</term><term>Public Health (MeSH)</term><term>Risk Factors (MeSH)</term><term>Spain (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Cause de décès (MeSH)</term><term>Espagne (épidémiologie)</term><term>Facteurs de risque (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Maladies cardiovasculaires (mortalité)</term><term>Modèles linéaires (MeSH)</term><term>Mâle (MeSH)</term><term>Santé publique (MeSH)</term><term>Services de médecine préventive (méthodes)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" qualifier="adverse effects" xml:lang="en"><term>Extreme Cold Weather</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Preventive Health Services</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Cardiovascular Diseases</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Maladies cardiovasculaires</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Services de médecine préventive</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cause of Death</term><term>Female</term><term>Humans</term><term>Linear Models</term><term>Male</term><term>Public Health</term><term>Risk Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Cause de décès</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Modèles linéaires</term><term>Mâle</term><term>Santé publique</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In general, there are few studies that analyse the impact of low temperatures on mortality and fewer still that use cold-wave-definition thresholds based on epidemiological and non-climatological criteria. Such a threshold definition, which took into account population features such as socio-economic and demographic characteristics, made it possible for a specific threshold temperature to be obtained for each of Spain's 52 provincial capitals in this study. Using generalised linear models with the Poisson regression link, and controlling for trend, autocorrelations and seasonalities of the series, and influenza epidemics, we obtained the impact of low temperatures on mortality in each provincial capital by calculating the relative risks (RRs) and attributable risks (ARs) for natural as well as circulatory and respiratory causes. The study showed higher minimum temperature thresholds in coastal areas, and an overall impact of cold on mortality in Spain due to natural causes RR=1.13 (95% CI: 1.11-1.16), circulatory causes RR=1.18 (95% CI: 1.15-1.22) and respiratory causes RR=1.24 (95% CI: 1.20-1.29) slightly greater than that obtained to date for heat. From a public health standpoint, there is a need for specific cold wave prevention plans at a regional level which would enable mortality attributable to low temperatures to be reduced. These plans have shown themselves to be effective in decreasing heat-related mortality, and we feel that they are essential for reducing cold-related effects on morbidity and mortality. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">26735348</PMID><DateCompleted><Year>2016</Year><Month>10</Month><Day>13</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-6750</ISSN><JournalIssue CitedMedium="Internet"><Volume>88</Volume><PubDate><Year>2016</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Environment international</Title><ISOAbbreviation>Environ Int</ISOAbbreviation></Journal><ArticleTitle>Geographical variation in relative risks associated with cold waves in Spain: The need for a cold wave prevention plan.</ArticleTitle><Pagination><MedlinePgn>103-111</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0160-4120(15)30131-8</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.envint.2015.12.027</ELocationID><Abstract><AbstractText>In general, there are few studies that analyse the impact of low temperatures on mortality and fewer still that use cold-wave-definition thresholds based on epidemiological and non-climatological criteria. Such a threshold definition, which took into account population features such as socio-economic and demographic characteristics, made it possible for a specific threshold temperature to be obtained for each of Spain's 52 provincial capitals in this study. Using generalised linear models with the Poisson regression link, and controlling for trend, autocorrelations and seasonalities of the series, and influenza epidemics, we obtained the impact of low temperatures on mortality in each provincial capital by calculating the relative risks (RRs) and attributable risks (ARs) for natural as well as circulatory and respiratory causes. The study showed higher minimum temperature thresholds in coastal areas, and an overall impact of cold on mortality in Spain due to natural causes RR=1.13 (95% CI: 1.11-1.16), circulatory causes RR=1.18 (95% CI: 1.15-1.22) and respiratory causes RR=1.24 (95% CI: 1.20-1.29) slightly greater than that obtained to date for heat. From a public health standpoint, there is a need for specific cold wave prevention plans at a regional level which would enable mortality attributable to low temperatures to be reduced. These plans have shown themselves to be effective in decreasing heat-related mortality, and we feel that they are essential for reducing cold-related effects on morbidity and mortality. </AbstractText><CopyrightInformation>Copyright © 2015 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Carmona</LastName><ForeName>R</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain. Electronic address: rocio.carmona@isciii.es.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Díaz</LastName><ForeName>J</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mirón</LastName><ForeName>I J</ForeName><Initials>IJ</Initials><AffiliationInfo><Affiliation>Torrijos Public Health District, Castile-La Mancha Regional Health & Social Affairs Authority (Consejería de Sanidad y Asuntos Sociales de Castilla-La Mancha), Torrijos, Toledo, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ortíz</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>León</LastName><ForeName>I</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>National Center of Epidemiology, Carlos III Institute of Health, Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Linares</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>National School of Public Health, Carlos III Institute of Health, Madrid, Spain.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>12</Month><Day>29</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Environ Int</MedlineTA><NlmUniqueID>7807270</NlmUniqueID><ISSNLinking>0160-4120</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002318" MajorTopicYN="N">Cardiovascular Diseases</DescriptorName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002423" MajorTopicYN="Y">Cause of Death</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055873" MajorTopicYN="N">Extreme Cold Weather</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016014" MajorTopicYN="N">Linear Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011314" MajorTopicYN="N">Preventive Health Services</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="N">Public Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cold waves</Keyword><Keyword MajorTopicYN="N">Geographical variation</Keyword><Keyword MajorTopicYN="N">Mortality</Keyword><Keyword MajorTopicYN="N">Prevention plans</Keyword><Keyword MajorTopicYN="N">Relative risks</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>11</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2015</Year><Month>12</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>12</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>1</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>1</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>10</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26735348</ArticleId><ArticleId IdType="pii">S0160-4120(15)30131-8</ArticleId><ArticleId IdType="doi">10.1016/j.envint.2015.12.027</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li></country><region><li>Communauté de Madrid</li></region><settlement><li>Madrid</li></settlement></list><tree><country name="Espagne"><region name="Communauté de Madrid"><name sortKey="Carmona, R" sort="Carmona, R" uniqKey="Carmona R" first="R" last="Carmona">R. Carmona</name></region><name sortKey="Diaz, J" sort="Diaz, J" uniqKey="Diaz J" first="J" last="Díaz">J. Díaz</name><name sortKey="Le N, I" sort="Le N, I" uniqKey="Le N I" first="I" last="Le N">I. Le N</name><name sortKey="Linares, C" sort="Linares, C" uniqKey="Linares C" first="C" last="Linares">C. Linares</name><name sortKey="Mir N, I J" sort="Mir N, I J" uniqKey="Mir N I" first="I J" last="Mir N">I J Mir N</name><name sortKey="Ortiz, C" sort="Ortiz, C" uniqKey="Ortiz C" first="C" last="Ortíz">C. Ortíz</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/GrippeEspagneV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000145 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000145 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= GrippeEspagneV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:26735348
|texte= Geographical variation in relative risks associated with cold waves in Spain: The need for a cold wave prevention plan.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:26735348" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a GrippeEspagneV1
| This area was generated with Dilib version V0.6.37. |  |