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Assessing impact of ventilation on airborne transmission of SARS-CoV-2: a cross-sectional analysis of naturally ventilated healthcare settings in Bangladesh.
Styczynski, Ashley; Hemlock, Caitlin; Hoque, Kazi Injamamul; Verma, Renu; LeBoa, Chris; Bhuiyan, Md Omar Faruk; Nag, Auddithio; Harun, Md Golam Dostogir; Amin, Mohammed Badrul; Andrews, Jason R.
  • Styczynski A; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA astyczyn@stanford.edu.
  • Hemlock C; Division of Epidemiology and Biostatistics, University of California Berkeley, Berkeley, California, USA.
  • Hoque KI; Laboratory Sciences and Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
  • Verma R; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • LeBoa C; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Bhuiyan MOF; Laboratory Sciences and Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
  • Nag A; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Harun MGD; Laboratory Sciences and Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
  • Amin MB; Laboratory Sciences and Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
  • Andrews JR; Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
BMJ Open ; 12(4): e055206, 2022 04 15.
Article in English | MEDLINE | ID: covidwho-1794498
ABSTRACT

OBJECTIVES:

To evaluate the risk of exposure to SARS-CoV-2 in naturally ventilated hospital settings by measuring parameters of ventilation and comparing these findings with results of bioaerosol sampling. STUDY

DESIGN:

Cross-sectional study. STUDY SETTING AND STUDY SAMPLE The study sample included nine hospitals in Dhaka, Bangladesh. Ventilation characteristics and air samples were collected from 86 healthcare spaces during October 2020 to February 2021. PRIMARY

OUTCOME:

Risk of cumulative SARS-CoV-2 infection by type of healthcare area. SECONDARY

OUTCOMES:

Ventilation rates by healthcare space; risk of airborne detection of SARS-CoV-2 across healthcare spaces; impact of room characteristics on absolute ventilation; SARS-CoV-2 detection by naturally ventilated versus mechanically ventilated spaces.

RESULTS:

The majority (78.7%) of naturally ventilated patient care rooms had ventilation rates that fell short of the recommended ventilation rate of 60 L/s/p. Using a modified Wells-Riley equation and local COVID-19 case numbers, we found that over a 40-hour exposure period, outpatient departments posed the highest median risk for infection (7.7%). SARS-CoV-2 RNA was most frequently detected in air samples from non-COVID wards (50.0%) followed by outpatient departments (42.9%). Naturally ventilated spaces (22.6%) had higher rates of SARS-CoV-2 detection compared with mechanically ventilated spaces (8.3%), though the difference was not statistically significant (p=0.128). In multivariable linear regression with calculated elasticity, open door area and cross-ventilation were found to have a significant impact on ventilation.

CONCLUSION:

Our findings provide evidence that naturally ventilated healthcare settings may pose a high risk for exposure to SARS-CoV-2, particularly among non-COVID-designated spaces, but improving parameters of ventilation can mitigate this risk.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2021-055206

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2021-055206