Prevalence of Underlying Medical Conditions Among Selected Essential Critical Infrastructure Workers - Behavioral Risk Factor Surveillance System, 31 States, 2017-2018.
Identifieur interne : 000329 ( Main/Exploration ); précédent : 000328; suivant : 000330Prevalence of Underlying Medical Conditions Among Selected Essential Critical Infrastructure Workers - Behavioral Risk Factor Surveillance System, 31 States, 2017-2018.
Auteurs : Sharon R. Silver ; Jia Li ; Winifred L. Boal ; Taylor L. Shockey ; Matthew R. GroenewoldSource :
- MMWR. Morbidity and mortality weekly report [ 1545-861X ] ; 2020.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Appréciation des risques (MeSH), Femelle (MeSH), Humains (MeSH), Industrie (statistiques et données numériques), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Maladie chronique (épidémiologie), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (épidémiologie), Professions (statistiques et données numériques), Prévalence (MeSH), Sujet âgé (MeSH), Système de surveillance des facteurs de risques comportementaux (MeSH), États-Unis (épidémiologie).
- MESH :
- statistiques et données numériques : Industrie, Professions.
- épidémiologie : Infections à coronavirus, Maladie chronique, Pneumopathie virale, États-Unis.
- Adolescent, Adulte, Adulte d'âge moyen, Appréciation des risques, Femelle, Humains, Jeune adulte, Mâle, Pandémies, Prévalence, Sujet âgé, Système de surveillance des facteurs de risques comportementaux.
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Behavioral Risk Factor Surveillance System (MeSH), Chronic Disease (epidemiology), Coronavirus Infections (epidemiology), Female (MeSH), Humans (MeSH), Industry (statistics & numerical data), Male (MeSH), Middle Aged (MeSH), Occupations (statistics & numerical data), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Prevalence (MeSH), Risk Assessment (MeSH), United States (epidemiology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : United States.
- epidemiology : Chronic Disease, Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Industry, Occupations.
- Adolescent, Adult, Aged, Behavioral Risk Factor Surveillance System, Female, Humans, Male, Middle Aged, Pandemics, Prevalence, Risk Assessment, Young Adult.
Abstract
Certain underlying medical conditions are associated with higher risks for severe morbidity and mortality from coronavirus disease 2019 (COVID-19) (1). Prevalence of these underlying conditions among workers differs by industry and occupation. Many essential workers, who hold jobs critical to the continued function of infrastructure operations (2), have high potential for exposure to SARS-CoV-2, the virus that causes COVID-19, because their jobs require close contact with patients, the general public, or coworkers. To assess the baseline prevalence of underlying conditions among workers in six essential occupations and seven essential industries, CDC analyzed data from the 2017 and 2018 Behavioral Risk Factor Surveillance System (BRFSS) surveys, the most recent data available.* This report presents unadjusted prevalences and adjusted prevalence ratios (aPRs) for selected underlying conditions. Among workers in the home health aide occupation and the nursing home/rehabilitation industry, aPRs were significantly elevated for the largest number of conditions. Extra efforts to minimize exposure risk and prevent and treat underlying conditions are warranted to protect workers whose jobs increase their risk for exposure to SARS-CoV-2.
DOI: 10.15585/mmwr.mm6936a3
PubMed: 32914769
PubMed Central: PMC7499835
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Prevalence of Underlying Medical Conditions Among Selected Essential Critical Infrastructure Workers - Behavioral Risk Factor Surveillance System, 31 States, 2017-2018.</title><author><name sortKey="Silver, Sharon R" sort="Silver, Sharon R" uniqKey="Silver S" first="Sharon R" last="Silver">Sharon R. Silver</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Li, Jia" sort="Li, Jia" uniqKey="Li J" first="Jia" last="Li">Jia Li</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Boal, Winifred L" sort="Boal, Winifred L" uniqKey="Boal W" first="Winifred L" last="Boal">Winifred L. Boal</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Shockey, Taylor L" sort="Shockey, Taylor L" uniqKey="Shockey T" first="Taylor L" last="Shockey">Taylor L. Shockey</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Groenewold, Matthew R" sort="Groenewold, Matthew R" uniqKey="Groenewold M" first="Matthew R" last="Groenewold">Matthew R. Groenewold</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32914769</idno><idno type="pmid">32914769</idno><idno type="doi">10.15585/mmwr.mm6936a3</idno><idno type="pmc">PMC7499835</idno><idno type="wicri:Area/Main/Corpus">000259</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000259</idno><idno type="wicri:Area/Main/Curation">000259</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000259</idno><idno type="wicri:Area/Main/Exploration">000259</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Prevalence of Underlying Medical Conditions Among Selected Essential Critical Infrastructure Workers - Behavioral Risk Factor Surveillance System, 31 States, 2017-2018.</title><author><name sortKey="Silver, Sharon R" sort="Silver, Sharon R" uniqKey="Silver S" first="Sharon R" last="Silver">Sharon R. Silver</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Li, Jia" sort="Li, Jia" uniqKey="Li J" first="Jia" last="Li">Jia Li</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Boal, Winifred L" sort="Boal, Winifred L" uniqKey="Boal W" first="Winifred L" last="Boal">Winifred L. Boal</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Shockey, Taylor L" sort="Shockey, Taylor L" uniqKey="Shockey T" first="Taylor L" last="Shockey">Taylor L. Shockey</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author><author><name sortKey="Groenewold, Matthew R" sort="Groenewold, Matthew R" uniqKey="Groenewold M" first="Matthew R" last="Groenewold">Matthew R. Groenewold</name><affiliation><nlm:affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</nlm:affiliation><wicri:noCountry code="subField">CDC</wicri:noCountry></affiliation></author></analytic><series><title level="j">MMWR. Morbidity and mortality weekly report</title><idno type="eISSN">1545-861X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Behavioral Risk Factor Surveillance System (MeSH)</term><term>Chronic Disease (epidemiology)</term><term>Coronavirus Infections (epidemiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Industry (statistics & numerical data)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Occupations (statistics & numerical data)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (epidemiology)</term><term>Prevalence (MeSH)</term><term>Risk Assessment (MeSH)</term><term>United States (epidemiology)</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>Appréciation des risques (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Industrie (statistiques et données numériques)</term><term>Infections à coronavirus (épidémiologie)</term><term>Jeune adulte (MeSH)</term><term>Maladie chronique (épidémiologie)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (épidémiologie)</term><term>Professions (statistiques et données numériques)</term><term>Prévalence (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Système de surveillance des facteurs de risques comportementaux (MeSH)</term><term>États-Unis (épidémiologie)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Chronic Disease</term><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Industry</term><term>Occupations</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Industrie</term><term>Professions</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Maladie chronique</term><term>Pneumopathie virale</term><term>États-Unis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Behavioral Risk Factor Surveillance System</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Prevalence</term><term>Risk Assessment</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>Appréciation des risques</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Pandémies</term><term>Prévalence</term><term>Sujet âgé</term><term>Système de surveillance des facteurs de risques comportementaux</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>États-Unis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Certain underlying medical conditions are associated with higher risks for severe morbidity and mortality from coronavirus disease 2019 (COVID-19) (1). Prevalence of these underlying conditions among workers differs by industry and occupation. Many essential workers, who hold jobs critical to the continued function of infrastructure operations (2), have high potential for exposure to SARS-CoV-2, the virus that causes COVID-19, because their jobs require close contact with patients, the general public, or coworkers. To assess the baseline prevalence of underlying conditions among workers in six essential occupations and seven essential industries, CDC analyzed data from the 2017 and 2018 Behavioral Risk Factor Surveillance System (BRFSS) surveys, the most recent data available.* This report presents unadjusted prevalences and adjusted prevalence ratios (aPRs) for selected underlying conditions. Among workers in the home health aide occupation and the nursing home/rehabilitation industry, aPRs were significantly elevated for the largest number of conditions. Extra efforts to minimize exposure risk and prevent and treat underlying conditions are warranted to protect workers whose jobs increase their risk for exposure to SARS-CoV-2.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32914769</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>15</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>25</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1545-861X</ISSN><JournalIssue CitedMedium="Internet"><Volume>69</Volume><Issue>36</Issue><PubDate><Year>2020</Year><Month>Sep</Month><Day>11</Day></PubDate></JournalIssue><Title>MMWR. Morbidity and mortality weekly report</Title><ISOAbbreviation>MMWR Morb Mortal Wkly Rep</ISOAbbreviation></Journal><ArticleTitle>Prevalence of Underlying Medical Conditions Among Selected Essential Critical Infrastructure Workers - Behavioral Risk Factor Surveillance System, 31 States, 2017-2018.</ArticleTitle><Pagination><MedlinePgn>1244-1249</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.15585/mmwr.mm6936a3</ELocationID><Abstract><AbstractText>Certain underlying medical conditions are associated with higher risks for severe morbidity and mortality from coronavirus disease 2019 (COVID-19) (1). Prevalence of these underlying conditions among workers differs by industry and occupation. Many essential workers, who hold jobs critical to the continued function of infrastructure operations (2), have high potential for exposure to SARS-CoV-2, the virus that causes COVID-19, because their jobs require close contact with patients, the general public, or coworkers. To assess the baseline prevalence of underlying conditions among workers in six essential occupations and seven essential industries, CDC analyzed data from the 2017 and 2018 Behavioral Risk Factor Surveillance System (BRFSS) surveys, the most recent data available.* This report presents unadjusted prevalences and adjusted prevalence ratios (aPRs) for selected underlying conditions. Among workers in the home health aide occupation and the nursing home/rehabilitation industry, aPRs were significantly elevated for the largest number of conditions. Extra efforts to minimize exposure risk and prevent and treat underlying conditions are warranted to protect workers whose jobs increase their risk for exposure to SARS-CoV-2.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Silver</LastName><ForeName>Sharon R</ForeName><Initials>SR</Initials><AffiliationInfo><Affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Jia</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Boal</LastName><ForeName>Winifred L</ForeName><Initials>WL</Initials><AffiliationInfo><Affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shockey</LastName><ForeName>Taylor L</ForeName><Initials>TL</Initials><AffiliationInfo><Affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Groenewold</LastName><ForeName>Matthew R</ForeName><Initials>MR</Initials><AffiliationInfo><Affiliation>Division of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>MMWR Morb Mortal Wkly Rep</MedlineTA><NlmUniqueID>7802429</NlmUniqueID><ISSNLinking>0149-2195</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName></SupplMeshList><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="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040343" MajorTopicYN="N">Behavioral Risk Factor Surveillance System</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002908" MajorTopicYN="N">Chronic Disease</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007221" MajorTopicYN="N">Industry</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009790" MajorTopicYN="N">Occupations</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014481" MajorTopicYN="N" Type="Geographic">United States</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><CoiStatement>All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>11</Day><Hour>8</Hour><Minute>39</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32914769</ArticleId><ArticleId IdType="doi">10.15585/mmwr.mm6936a3</ArticleId><ArticleId IdType="pmc">PMC7499835</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>MMWR Morb Mortal Wkly Rep. 2018 Jun 01;67(21):593-598</Citation><ArticleIdList><ArticleId IdType="pubmed">29851945</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Ind Med. 2020 Jan;63(1):60-73</Citation><ArticleIdList><ArticleId IdType="pubmed">31631375</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS One. 2020 Apr 28;15(4):e0232452</Citation><ArticleIdList><ArticleId IdType="pubmed">32343747</ArticleId></ArticleIdList></Reference><Reference><Citation>Ann Epidemiol. 2020 Aug;48:9-14</Citation><ArticleIdList><ArticleId IdType="pubmed">32723697</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list></list><tree><noCountry><name sortKey="Boal, Winifred L" sort="Boal, Winifred L" uniqKey="Boal W" first="Winifred L" last="Boal">Winifred L. Boal</name><name sortKey="Groenewold, Matthew R" sort="Groenewold, Matthew R" uniqKey="Groenewold M" first="Matthew R" last="Groenewold">Matthew R. Groenewold</name><name sortKey="Li, Jia" sort="Li, Jia" uniqKey="Li J" first="Jia" last="Li">Jia Li</name><name sortKey="Shockey, Taylor L" sort="Shockey, Taylor L" uniqKey="Shockey T" first="Taylor L" last="Shockey">Taylor L. Shockey</name><name sortKey="Silver, Sharon R" sort="Silver, Sharon R" uniqKey="Silver S" first="Sharon R" last="Silver">Sharon R. Silver</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000329 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000329 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidSeniorV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:32914769
|texte= Prevalence of Underlying Medical Conditions Among Selected Essential Critical Infrastructure Workers - Behavioral Risk Factor Surveillance System, 31 States, 2017-2018.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32914769" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CovidSeniorV1
| This area was generated with Dilib version V0.6.37. |  |