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Control measure implications of COVID-19 infection in healthcare facilities reconsidered from human physiological and engineering aspects.

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Title: Control measure implications of COVID-19 infection in healthcare facilities reconsidered from human physiological and engineering aspects.
Authors: Yang, Ying-Fei1 (AUTHOR), Lin, Yi-Jun2 (AUTHOR), You, Shu-Han3 (AUTHOR), Lu, Tien-Hsuan4 (AUTHOR), Chen, Chi-Yun1 (AUTHOR), Wang, Wei-Min1 (AUTHOR), Liao, Chung-Min1 (AUTHOR) cmliao@ntu.edu.tw
Source: Environmental Science & Pollution Research. Mar2023, Vol. 30 Issue 13, p36228-36243. 16p.
Subject Terms: *COVID-19, *Health facilities, *Ergonomics, *Airborne infection, *COVID-19 pandemic
Geographic Terms: Wuhan (China)
Abstract: The Wells-Riley model invokes human physiological and engineering parameters to successfully treat airborne transmission of infectious diseases. Applications of this model would have high potentiality on evaluating policy actions and interventions intended to improve public safety efforts on preventing the spread of COVID-19 in an enclosed space. Here, we constructed the interaction relationships among basic reproduction number (R0) − exposure time − indoor population number by using the Wells-Riley model to provide a robust means to assist in planning containment efforts. We quantified SARS-CoV-2 changes in a case study of two Wuhan (Fangcang and Renmin) hospitals. We conducted similar approach to develop control measures in various hospital functional units by taking all accountable factors. We showed that inhalation rates of individuals proved crucial for influencing the transmissibility of SARS-CoV-2, followed by air supply rate and exposure time. We suggest a minimum air change per hour (ACH) of 7 h−1 would be at least appropriate with current room volume requirements in healthcare buildings when indoor population number is < 10 and exposure time is < 1 h with one infector and low activity levels being considered. However, higher ACH (> 16 h−1) with optimal arranged-exposure time/people and high-efficiency air filters would be suggested if more infectors or higher activity levels are presented. Our models lay out a practical metric for evaluating the efficacy of control measures on COVID-19 infection in built environments. Our case studies further indicate that the Wells-Riley model provides a predictive and mechanistic basis for empirical COVID-19 impact reduction planning and gives a framework to treat highly transmissible but mechanically heterogeneous airborne SARS-CoV-2. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Label: Title
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  Data: Control measure implications of COVID-19 infection in healthcare facilities reconsidered from human physiological and engineering aspects.
– Name: Author
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yang%2C+Ying-Fei%22&quot;&gt;Yang, Ying-Fei&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lin%2C+Yi-Jun%22&quot;&gt;Lin, Yi-Jun&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22You%2C+Shu-Han%22&quot;&gt;You, Shu-Han&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lu%2C+Tien-Hsuan%22&quot;&gt;Lu, Tien-Hsuan&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chen%2C+Chi-Yun%22&quot;&gt;Chen, Chi-Yun&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wang%2C+Wei-Min%22&quot;&gt;Wang, Wei-Min&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liao%2C+Chung-Min%22&quot;&gt;Liao, Chung-Min&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; cmliao@ntu.edu.tw&lt;/i&gt;
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Environmental+Science+%26+Pollution+Research%22&quot;&gt;Environmental Science &amp; Pollution Research&lt;/searchLink&gt;. Mar2023, Vol. 30 Issue 13, p36228-36243. 16p.
– Name: Subject
  Label: Subject Terms
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  Data: *&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22COVID-19%22&quot;&gt;COVID-19&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Health+facilities%22&quot;&gt;Health facilities&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Ergonomics%22&quot;&gt;Ergonomics&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Airborne+infection%22&quot;&gt;Airborne infection&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22COVID-19+pandemic%22&quot;&gt;COVID-19 pandemic&lt;/searchLink&gt;
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Wuhan+%28China%29%22&quot;&gt;Wuhan (China)&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Wells-Riley model invokes human physiological and engineering parameters to successfully treat airborne transmission of infectious diseases. Applications of this model would have high potentiality on evaluating policy actions and interventions intended to improve public safety efforts on preventing the spread of COVID-19 in an enclosed space. Here, we constructed the interaction relationships among basic reproduction number (R0) − exposure time − indoor population number by using the Wells-Riley model to provide a robust means to assist in planning containment efforts. We quantified SARS-CoV-2 changes in a case study of two Wuhan (Fangcang and Renmin) hospitals. We conducted similar approach to develop control measures in various hospital functional units by taking all accountable factors. We showed that inhalation rates of individuals proved crucial for influencing the transmissibility of SARS-CoV-2, followed by air supply rate and exposure time. We suggest a minimum air change per hour (ACH) of 7 h−1 would be at least appropriate with current room volume requirements in healthcare buildings when indoor population number is &lt; 10 and exposure time is &lt; 1 h with one infector and low activity levels being considered. However, higher ACH (&gt; 16 h−1) with optimal arranged-exposure time/people and high-efficiency air filters would be suggested if more infectors or higher activity levels are presented. Our models lay out a practical metric for evaluating the efficacy of control measures on COVID-19 infection in built environments. Our case studies further indicate that the Wells-Riley model provides a predictive and mechanistic basis for empirical COVID-19 impact reduction planning and gives a framework to treat highly transmissible but mechanically heterogeneous airborne SARS-CoV-2. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11356-022-24815-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 36228
    Subjects:
      – SubjectFull: COVID-19
        Type: general
      – SubjectFull: Health facilities
        Type: general
      – SubjectFull: Ergonomics
        Type: general
      – SubjectFull: Airborne infection
        Type: general
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Wuhan (China)
        Type: general
    Titles:
      – TitleFull: Control measure implications of COVID-19 infection in healthcare facilities reconsidered from human physiological and engineering aspects.
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            NameFull: Yang, Ying-Fei
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            NameFull: Lin, Yi-Jun
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            NameFull: You, Shu-Han
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            NameFull: Lu, Tien-Hsuan
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            NameFull: Chen, Chi-Yun
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            – D: 15
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
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            – TitleFull: Environmental Science & Pollution Research
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