| Literature DB >> 35714688 |
Ajith N Nair1, Prashant Anand2, Abraham George1, Nilabhra Mondal1.
Abstract
Airborne transmission arises through the inhalation of aerosol droplets exhaled by an infected person and is now thought to be the primary transmission route of COVID-19. Thus, maintaining adequate indoor air quality levels is vital in mitigating the spread of the airborne virus. The cause-and-effect flow of various agents involved in airborne transmission of viruses has been investigated through a systematic literature review. It has been identified that the airborne virus can stay infectious in the air for hours, and pollutants such as particulate matter (PM10, PM2.5), Nitrogen dioxide (NO2), Sulphur dioxide (SO2), Carbon monoxide (CO), Ozone (O3), Carbon dioxide (CO2), and Total Volatile Organic Compounds (TVOCs) and other air pollutants can enhance the incidence, spread and mortality rates of viral disease. Also, environmental quality parameters such as humidity and temperature have shown considerable influence in virus transmission in indoor spaces. The measures adopted in different research studies that can curb airborne transmission of viruses for an improved Indoor Air Quality (IAQ) have been collated for their effectiveness and limitations. A diverse set of building strategies, components, and operation techniques from the recent literature pertaining to the ongoing spread of COVID-19 disease has been systematically presented to understand the current state of techniques and building systems that can minimize the viral spread in built spaces This comprehensive review will help architects, builders, realtors, and other organizations improve or design a resilient building system to deal with COVID-19 or any such pandemic in the future.Entities:
Keywords: Airborne transmission; COVID-19; Health policy; Indoor air quality; Indoor environmental quality; SARS-CoV-2; Ventilation
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Year: 2022 PMID: 35714688 PMCID: PMC9192357 DOI: 10.1016/j.envres.2022.113579
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 8.431
Fig. 1Transmission routes of the SARS-CoV-2 virus.
Significance of Indoor Environmental quality parameters in COVID-19 transmission.
| Reference | Year | Objective | Parameters | Context | Method | Key finding | Notes |
|---|---|---|---|---|---|---|---|
| 2020 | Assess the link between ambient air pollution and COVID-19. | PM2.5, PM10, CO, NO2, SO2, and O3 | China | Generalized Additive Model (GAM) based statistical analysis | PM2.5, PM10, NO2, and O3 showed a positive relationship with the newly confirmed cases Negative association of SO2 with daily confirmed cases 10-μg/m3 rise in PM2.5, PM10, NO2, and O3 linked to a 2.24%, 1.76%, 6.94%, and 4.76% rise in the daily confirmed cases 10-μg/m3 rise in SO2 was linked with a 7.79% reduction in confirmed cases | Causal effects of air pollution on COVID-19 were not evaluated Only the association between air pollutants and confirmed cases was assessed Gender and age-specific analyses are not considered | |
| 2020 | To investigate the relationship between long-term average exposure to fine PM and COVID-19 deaths | PM2.5 | USA | Negative binomial mixed model | 1 μg/m3 rise in PM2. 5 is linked to an 8% rise in death rates | A slight rise in long-term PM2.5 exposure causes a significant rise in the death rate. | |
| ( | 2020 | To understand the association between long term air pollution exposure and COVID-19 | PM2.5, NO2, SO2 | Netherlands (355 municipalities) | Negative binomial count model | 1 μg/m3 rise in PM2.5 concentrations results in 9.4 times more cases, 3 times higher admission to hospitals, and 2.3 times more death. | |
| ( | 2020 | To assess the relationship between PM levels and incidence, mortality rate, and case fatality risk of SARS-CoV-2 virus. | PM2.5 | Italy | Epidemiological analysis using geographical information and negative binomial regression ACE-2 gene bioinformatics analysis | 1 μg/m3 rise in PM2.5 is linked with a 9% rise in mortality Positive correlations among PM2.5 levels and the incidence, mortality rate, and case fatality rate | Population density showed much lesser importance than PM |
| 2021 | To ascertain whether PM was the main cause of SARS-CoV-2 spread rapidity | PM10, PM2.5, Air quality | Northern Italy | Survey-based data collection and statistical correlation | Excludes the possibility that PM alone was the main cause of SARS-CoV-2 spread rapidity. PM effect in synergy with other polluting elements, also conditions like sociability, liveability, and meteorological conditions accelerate the spread | Spread rapidity was assessed using Seeding time (ST) and doubling time (DT) | |
| ( | 2020 | To investigate the presence of SARS-CoV-2 presence on PM To evaluate linkages between higher mortality rates and average PM10 concentrations exceeding 50 μg/m3 daily limit | PM 10 | Northern Italy | Virus viability studies Experimental with exploratory and statistical inference analysis | The presence of SARS-CoV-2 RNA on PM Geographical distribution of daily PM10 exceedances and the initial transmission of the virus were correlated | The opportunity of considering PM as an ‘indicator’ for the expected impacts of virus transmission. |
| ( | 2020 | Investigate whether meteorological variables and ambient air pollutants could increase the incidence of COVID-19 disease | AQI PM2.5, PM10, NO2, and CO Daily temperature, Highest temperature, Lowest temperature, Temperature difference, sunshine duration | China (Wuhan and XiaoGan) | Time-series analysis Descriptive analysis | Low AQI, PM2.5, PM10, NO2 could enhance the incidence of COVID-19 Temperature has an inhibitory influence on SARS-CoV-2 transmission CO also showed a strong positive relation with Wuhan virus transmission | Short study period (Jan 26th to Feb 29th in 2020) Couldn't conclude on the effect of CO as the results vary in the case of two cities considered |
| 2020 | To assess the stability of SARS-CoV-2 and SARS-CoV-1 in aerosols and on various surfaces | Aerosols | Bayesian regression model | SARS-CoV-2 transmission by aerosol and fomite is possible The virus could remain alive and contagious inside aerosols for several hours and for days on surfaces | |||
| ( | 2021 | CO2 based risk proxy expression derivation | CO2 | Wells−Riley model of aerosol infection | Relative infection risk increases with excess CO2 levels Low CO2 levels in spaces increase the efficiency of ventilation measures | CO2 is the only infection risk proxy quantity that can be simply detected by fast and cheap sensors. | |
| ( | 2020,2021,2012 | To assess the effect of humidity on Airborne Transmission of COVID-19 | RH, AH | Statistical analysis with Epidemiological data, HYSPLIT Trajectory data, AOD and pollutants data, Weather data | A negative correlation was observed between AH and RH and daily cases of COVID-19 |
Recommended ventilation rates (WHO, 2021c).
| Setting | Recommended Ventilation rate |
|---|---|
| 1. Health care setting with the quarantine facility | |
| 1a. With the aerosol-generating procedure | 160 L/s or 12 ACH |
| 1b. Without the aerosol-generating procedure | 60 L/s or 6 ACH |
| 2. Non-residential settings | 10 L/s |
| 3. Residential setting | 10 L/s |
Fig. 2Hybrid ventilation strategies to minimize the SARS-CoV-2 transmission risk.
Fig. 3Personalized ventilation strategies to minimize the SARS-CoV-2 transmission risk.
Fig. 4Mixed and Displacement ventilation strategies.
Fig. 5Strategies to reduce virus transmission from hospital isolation rooms.
Fig. 6Infectious droplet nuclei filtration efficiency of HVAC filters, Adapted from (Azimi and Stephens, 2013).
Fig. 7Purification/filtration strategies to reduce indoor airborne transmission.
Fig. 8UVGI and Filter integration in HVAC systems.
Ventilation strategies to improve IEQ and their reported effectiveness.
| Reference | Year | Ventilation and associated strategies | Context | Key findings | Notes |
|---|---|---|---|---|---|
| ( | 2020 | Various fresh air intake ventilation measures | All spaces | High-intensity fresh air ventilation has been found effective in reducing the viral transmission risk | Increasing the fresh air ventilation rates using mechanical ventilation results in an increase in energy consumption. |
| ( | 2020,2021 | Displacement ventilation | Isolation rooms, Hospitals, public buildings, sports centers, small office | Reduction of cross-contamination and transmission is dependent on the dominant airflow pattern. Displacement ventilation performs better than normal mixed ventilation in minimizing COVID-19 airborne transmission | Mixed ventilation mixes the contaminated air with the fresh air in the breathing zone thus increases risk of transmission |
| 2021 | Ceiling fan | Experimental setup/test room | Employing ceiling fans minimized the cross-infection risk in air-conditioned rooms. Ceiling fan operation reduced the exposed individual's breathing zone concentrations by more than 20% through increased dispersion of the aerosols. The increase in fan speed also decreased the average contamination concentration | The study assumed steady-state transmission and hence didn't consider transient flows. Tracer gas was used for the study that cannot represent real situations' complex dynamics. | |
| ( | 2013,2021 | Personalized Ventilation (PV) | All indoor spaces | The usage of personal ventilation in indoor spaces demonstrated the efficiency of 67% in reducing the infection risk. Doesn't mix the clean air with the contaminated air | The potential of personalized ventilation systems in COVID-19 pandemic management is huge and under-explored. |
| 2020 | Adaptive wall-based attachment ventilation | Airborne infection isolation room | 15–17% reduction in the average contaminant concentration when compared to a ceiling or upper sidewall air supply | ||
| ( | 2021 | Demand Control Ventilation (DCV) | All spaces | Demand control ventilation based on temperature and occupancy should be turned off | CO2 concentration setpoint should be lowered enough to maintain adequate indoor ventilation if demand control ventilation is used |
Various air filtration/Purification strategies to improve IEQ and their reported effectiveness.
| Reference | Year | Air Filter/Purifier | Objective | Context | Efficiency | Notes |
|---|---|---|---|---|---|---|
| ( | 2019 | Electrostatic enhanced pleated air filters (EEPF) | Development of electrostatic enhanced pleated air filters (EEPF). | Experimental setup | Compared to HEPA, ideal EEPF exhibited equivalent filtration effectiveness (>98%) and consumed 70% less energy. | It improves fabric filter performance without introducing pressure drop by utilizing an external electric field. The results reveal that duct velocity, applied voltage, and filter type all have an effect on EEPF filtration efficiency. |
| 2020 | HEPA Air purifiers * | To assess the effectiveness of HEPA purifiers in eliminating fine and ultrafine particles (UFP). | AP's effectively removed UFPs, removal effectiveness was lowered in the 200 nm–250nm size range. | Particles in the size range (200–250 nm) present in substantial concentrations in megacities and can successfully penetrate the shells of buildings and remain suspended in the air and pose a risk to human health. | ||
| ( | 2020 | Electrostatic precipitators | The efficacy of existing ESPs in eliminating pollutants. | Naturally ventilated school courtyard | 34.1% reduction in PM2.5 concentrations. | |
| ( | 2013 | Multiple Air Filters | Assessing the effect of recirculating HVAC particle filters on the containment of size-resolved infectious aerosols | Hypothetical office space. | MERV 13–16 filters produced the highest risk reductions at low cost Medium efficiency filters (MERV 7–11) are cheap but appear to be less successful in decreasing infectious disease risks. | The advantage of HEPA over MERV13-16 is very little considering 1.6–2.3 times the cost of operation |
| ( | 2021 | Mobile air purifiers | 4 HEPA filter air purifiers were tested for efficiency and practicability Effect of a commercially available home air purifier on PM2.5 concentrations and perceived IAQ | High school classroom | Air purifiers quickly, efficiently, and uniformly minimized the concentration of aerosols 90% reduction in aerosol concentration in less than 30 min (ACH 5.5 h−1). 45% PM2.5 concentrations reduced in bedrooms over 90 min of HAP use. | Air purifiers with HEPA filters and a high CADR of roughly 1000m3/h or above must be used. Uniform mixing and high air exchange rates can be achieved by combining multiple small purifier units. |
| 2021 | Commercial air purifier device, HYLA-EST device | HYLA-EST device's ability to minimize aerosol concentration, PM and VOC | 4m × 4m × 2.5 m (40m3) apartment room | 16.8 (90% reduction) and 7.25 times (80% reduction) reduction of PM10 and PM2.5 concentrations were reported, respectively, corresponding to a reduction of about 90% and 80%. VOC concentrations were also reduced by more than 50%. | The equipment under test is based on a water-bath filtration mechanism |