A numerical study of ventilation strategies for infection risk mitigation in general inpatient wards.
Identifieur interne : 000132 ( PubMed/Curation ); précédent : 000131; suivant : 000133A numerical study of ventilation strategies for infection risk mitigation in general inpatient wards.
Auteurs : Manoj Kumar Satheesan [République populaire de Chine] ; Kwok Wai Mui [République populaire de Chine] ; Ling Tim Wong [République populaire de Chine]Source :
- Building simulation [ 1996-3599 ] ; 2020.
Abstract
Aerial dispersion of human exhaled microbial contaminants and subsequent contamination of surfaces is a potential route for infection transmission in hospitals. Most general hospital wards have ventilation systems that drive air and thus contaminants from the patient areas towards the corridors. This study investigates the transport mechanism and deposition patterns of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) within a typical six bedded general inpatient ward cubicle through numerical simulation. It demonstrates that both air change and exhaust airflow rates have significant effects on not only the airflow but also the particle distribution within a mechanically ventilated space. Moreover, the location of an infected patient within the ward cubicle is crucial in determining the extent of infection risk to other ward occupants. Hence, it is recommended to provide exhaust grilles in close proximity to a patient, preferably above each patient's bed. To achieve infection prevention and control, high exhaust airflow rate is also suggested. Regardless of the ventilation design, all patients and any surfaces within a ward cubicle should be regularly and thoroughly cleaned and disinfected to remove microbial contamination. The outcome of this study can serve as a source of reference for hospital management to better ventilation design strategies for mitigating the risk of infection.
DOI: 10.1007/s12273-020-0623-4
PubMed: 32211123
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Most general hospital wards have ventilation systems that drive air and thus contaminants from the patient areas towards the corridors. This study investigates the transport mechanism and deposition patterns of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) within a typical six bedded general inpatient ward cubicle through numerical simulation. It demonstrates that both air change and exhaust airflow rates have significant effects on not only the airflow but also the particle distribution within a mechanically ventilated space. Moreover, the location of an infected patient within the ward cubicle is crucial in determining the extent of infection risk to other ward occupants. Hence, it is recommended to provide exhaust grilles in close proximity to a patient, preferably above each patient's bed. To achieve infection prevention and control, high exhaust airflow rate is also suggested. Regardless of the ventilation design, all patients and any surfaces within a ward cubicle should be regularly and thoroughly cleaned and disinfected to remove microbial contamination. The outcome of this study can serve as a source of reference for hospital management to better ventilation design strategies for mitigating the risk of infection.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">32211123</PMID><DateRevised><Year>2020</Year><Month>03</Month><Day>28</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1996-3599</ISSN><JournalIssue CitedMedium="Print"><PubDate><Year>2020</Year><Month>Feb</Month><Day>22</Day></PubDate></JournalIssue><Title>Building simulation</Title><ISOAbbreviation>Build Simul</ISOAbbreviation></Journal><ArticleTitle>A numerical study of ventilation strategies for infection risk mitigation in general inpatient wards.</ArticleTitle><Pagination><MedlinePgn>1-10</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s12273-020-0623-4</ELocationID><Abstract><AbstractText>Aerial dispersion of human exhaled microbial contaminants and subsequent contamination of surfaces is a potential route for infection transmission in hospitals. Most general hospital wards have ventilation systems that drive air and thus contaminants from the patient areas towards the corridors. This study investigates the transport mechanism and deposition patterns of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) within a typical six bedded general inpatient ward cubicle through numerical simulation. It demonstrates that both air change and exhaust airflow rates have significant effects on not only the airflow but also the particle distribution within a mechanically ventilated space. Moreover, the location of an infected patient within the ward cubicle is crucial in determining the extent of infection risk to other ward occupants. Hence, it is recommended to provide exhaust grilles in close proximity to a patient, preferably above each patient's bed. To achieve infection prevention and control, high exhaust airflow rate is also suggested. Regardless of the ventilation design, all patients and any surfaces within a ward cubicle should be regularly and thoroughly cleaned and disinfected to remove microbial contamination. The outcome of this study can serve as a source of reference for hospital management to better ventilation design strategies for mitigating the risk of infection.</AbstractText><CopyrightInformation>© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Satheesan</LastName><ForeName>Manoj Kumar</ForeName><Initials>MK</Initials><AffiliationInfo><Affiliation>Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.</Affiliation><Identifier Source="GRID">grid.16890.36</Identifier><Identifier Source="ISNI">0000 0004 1764 6123</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mui</LastName><ForeName>Kwok Wai</ForeName><Initials>KW</Initials><AffiliationInfo><Affiliation>Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.</Affiliation><Identifier Source="GRID">grid.16890.36</Identifier><Identifier Source="ISNI">0000 0004 1764 6123</Identifier></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wong</LastName><ForeName>Ling Tim</ForeName><Initials>LT</Initials><AffiliationInfo><Affiliation>Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China.</Affiliation><Identifier Source="GRID">grid.16890.36</Identifier><Identifier Source="ISNI">0000 0004 1764 6123</Identifier></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>02</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>China</Country><MedlineTA>Build Simul</MedlineTA><NlmUniqueID>101677932</NlmUniqueID><ISSNLinking>1996-3599</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">bioaerosol dispersion</Keyword><Keyword MajorTopicYN="N">computational fluid dynamics (CFD)</Keyword><Keyword MajorTopicYN="N">hospital general ward</Keyword><Keyword MajorTopicYN="N">indoor air quality (IAQ)</Keyword><Keyword MajorTopicYN="N">infection risk</Keyword><Keyword MajorTopicYN="N">ventilation</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>11</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>01</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>02</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32211123</ArticleId><ArticleId IdType="doi">10.1007/s12273-020-0623-4</ArticleId><ArticleId IdType="pii">623</ArticleId><ArticleId IdType="pmc">PMC7090571</ArticleId></ArticleIdList><pmc-dir>pmcsd</pmc-dir>
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