key: cord-0734306-11bh9v5i authors: Wang, Qiaoqiao; Gu, Jianwei; An, Taicheng title: The emission and dynamics of droplets from human expiratory activities and COVID-19 transmission in public transport system: A review date: 2022-05-24 journal: Build Environ DOI: 10.1016/j.buildenv.2022.109224 sha: fde67d689943e15f86b6d6ef12ce894b10758ffe doc_id: 734306 cord_uid: 11bh9v5i The public transport system, containing a large number of passengers in enclosed and confined spaces, provides suitable conditions for the spread of respiratory diseases. Understanding how viruses are transmitted in public transport environment is of vital importance to public health. However, this is a highly multidisciplinary matter and the related physical processes including the emissions of respiratory droplets, the droplet dynamics and transport pathways, and subsequently, the infection risk in public transport, are poorly understood. To better grasp the complex processes involved, a synthesis of current knowledge is required. Therefore, we conducted a review on the behaviors of respiratory droplets in public transport system, covering a wide scope from the emission profiles of expiratory droplets, the droplet dynamics and transport, to the transmission of COVID-19 in public transport. The literature was searched using related keywords in Web of Science and PubMed and screened for suitability. The droplet size is a key parameter in determining the deposition and evaporation, which together with the exhaled air velocity largely determines the horizontal travel distance. The potential transmission route and transmission rate in public transport as well as the factors influencing the virus-laden droplet behaviors and virus viability (such as ventilation system, wearing personal protective equipment, air temperature and relative humidity) are also discussed. The review also suggests that future studies should address the uncertainties in droplet emission profiles associated with the measurement techniques, and preferably build a database based on a unified testing protocol. Further investigations based on field measurements and modeling studies into the influence of different ventilation systems on the transmission rate in public transport are also needed, which would provide scientific basis for controlling the transmission of diseases. Introduction 1 The Coronavirus disease 2019 (COVID- 19) was first detected in 2019, and was soon declared as a 2 global pandemic by the World Health Organization (WHO) on March 11, 2020. By April 30, 2022, 3 510 million confirmed cases and 6.2 million deaths were reported by WHO [1] . The unexpected 4 rapid spread of COVID-19 worldwide was largely associated with the convenient and advanced 12 The public transport system is a special indoor environment with many passengers in an enclosed 13 and confined space, favoring the propagation of diseases between passengers. There is ample 14 evidence showing that the public transport environment contributes to the transmission of influenza 15 and coronaviruses [6] . The transmission of SARS-CoV-2 in a variety of public transport systems 16 has also been recently reported, including aircraft cabins [7, 8] , buses [9, 10], trains [11, 12] and 17 cruise ships [13] . The ventilation system in public transport needs to provide conditioned air 18 (heated or cooled) and to ensure passenger thermal comfort and an acceptable cabin air quality. 19 Due to high population density, it requires high energy consumption. The ventilation systems and 20 air distribution in common public transport systems such as buses, trains, airplanes are also 21 different from the general indoor environment, and the main exposure and transmission routes of 22 respiratory transmissible diseases are not fully understood yet. 23 Historically, public health communities have discovered two major transmission routes for 24 respiratory-borne diseases, namely, short-distance droplet transmission and contact with 25 contaminated surfaces (or fomites) [14, 15] . At the early COVID-19 transmission stage, 26 government and health agencies recommended social distancing to avoid the short-distance droplet 27 transmission. Regarding the fomite route, hand washing and surface disinfection were 28 recommended to reduce the possibility of picking up viruses via touching the contaminated 29 surfaces. These measures are essential but may not be sufficient, as small droplets can evaporate 30 quickly and remain in the air for a prolonged time. Aerosol scientists argued that viruses may also 31 J o u r n a l P r e -p r o o f In this review paper, literature was collected by searching in Web of Science and PubMed using 23 keywords followed by manual screening for suitable topics and scopes. The keywords used in Web 24 of Science included "emission", "aerosol", droplet", "respiratory", "coughing", "sneezing", 25 "speaking", "evaporation", "dynamic", "SARS-CoV-2", "COVID-19", "bus", "subway", "metro", 26 "underground", "vehicle", "train", "rail", "airplane", "flight", "public transport/transportation", 27 "face mask", "filtration", and "virus survival". For COVID-19 transmission in public transport, 28 literature search in PubMed was also conducted using keywords of "SARS-CoV-2", "COVID-19", 29 J o u r n a l P r e -p r o o f "bus", "subway", "metro", "underground", "vehicle", "train", "rail", "airplane", and "flight". Some 1 of the papers were collected by cross-referencing other reviewed papers. Three main methods have been applied to study the droplet number and size from expiratory 10 activities: optical microscopy, on-line particle size spectrometer and on-site detection techniques. Optical microscopy, applied in early studies, uses collection media such as glass slides to collect 12 deposited droplets, and then the stains of droplets are counted and measured with a microscope [20, 13 25]. Dyes are commonly applied in the mouth to leave a colorful stain, while no dye is needed if 14 water-sensitive paper is used. Although the microscope is capable of measuring stains as small as 15 0.25 -0.50 μm, the method is only effective in measuring droplets > 10 µm, because small droplets 16 do not deposit effectively on the collection media but instead remain airborne for an extended time. Only a few studies endeavored to collect small droplets (< 10 µm) by air sampling followed by 18 microscope analysis (e.g. Duguid [20] , Loudon and Roberts [25] ). 19 The on-line particle size spectrometer uses an aerosol instrument with a tubing system to measure 20 particles in a wide size range, focusing on small ones in general [26] [27] [28] . For instance, the in a size range of several nanometers to sub-micrometer. It is worth noting that droplets may dry 25 out in the tubing system, leading to their size reduction, while droplets near the upper size detection 26 limit (e.g. 10 -20 μm) may be lost due to gravitational settling and inertia in the tubing system. More recently, some studies utilized on-site detection techniques such as Interferometric Mie 28 Imaging and laser particle size analyzer to determine droplet sizes (e.g. Chao Table 1 and Table 2 summarize the characteristics of the droplets emitted from respiratory activities 4 including breathing, speaking, singing, coughing, and sneezing from previous studies. For 5 breathing, results are only available based on the on-line particle size spectrometer, limited to 6 particles with diameters smaller than 10 -20 µm. Only the study by Asadi et al. [26] reports En of 7 0 -2 s -1 (0 -11 L -1 ), which is at the lower end of the range of En for speaking or singing. Most 8 studies report droplet concentrations in the exhaled breath in the range from 14 to 1.7×10 4 L -1 . The 9 wide range spanning three orders of magnitude can be largely attributed to individual differences, 10 as some individuals are "super emitters" [31] . The variation can also be partly explained by the 11 change in breathing maneuver, with higher concentrations for breathing to residual volume or with 12 airway closure [32, 33] . The droplet sizes from breathing were mainly below 1.0 µm, with peaks 13 at 0.07 µm, 0.2 -0.5 µm and 0.75 -1.0 µm in different studies. It is also possible that peaks at 14 larger size could be omitted due to the detection limit associated with the on-line particle size 15 spectrometer. 16 For speaking or singing, emissions were measured when counting 1 to 100 in English, which was 17 defined as one event in most studies. Reported droplet number emission rates (En) are in a wide 18 range of 100 -6720 event -1 [20, 21, 26, 29, 34] . The size distribution of emitted droplets also varies 19 largely, with the main peaks located at ~ 1 µm, 6 µm, 12 µm, 63 µm, and 100 µm in different 20 studies. Three studies have identified a bimodal size distribution, showing both a major peak at < 21 10 µm and a sub-peak at > 50 µm [28, 29, 34] . The study by Asadi et al. [26] suggested that En is 22 linearly correlated with the vocalization loudness but the corresponding number size distribution 23 is independent of loudness. Intensive activities such as coughing and sneezing tend to have higher En as well as larger variation. 26 However, considering the duration, total emissions from breathing and speaking can be of more 27 importance. In addition, most respiratory activities can produce droplets both smaller and larger 28 than 10 µm in size, which will have different aerodynamic behaviors and subsequent exposure 29 routes in the public transport. It is also worth noting that the major modes are all below 10 µm for Some studies suggest that v0 values from coughing and speaking are higher for males than females, 1.64 m s -1 ) than males (1.08 -1.56 m s -1 ). However, the evidence is too limited to conclude any 10 gender difference. After expiration, the air velocity follows an exponential decay over the distance 11 from the mouth [43] . [1] 23 where ρp is the particle density, dp is the particle diameter, g is the gravitational acceleration, Cc is 24 the slip correction factor which is important for small particles, and η is the viscosity of air. The particle VTS in the transition region ( where ρg is the air density, and CD is the drag coefficient in Newton's resistance law. In the 2 transition region, CD has a complicated relationship with Re. However, the VTS can be calculated 3 empirically based on the value of CDRe 2 as shown in Eq. 3. The evaporation of a pure water droplet is controlled by two competing processes: (a) ambient 5 water vapor arrives and sticks onto the droplet surface, and (b) water molecules evaporate and leave 6 the droplet surface. The complete evaporation time of a water droplet (tE) in still air is a function 7 of the particle diameter, particle density, temperatures of the droplet and the ambient air, as well as 8 vapor pressures on the droplet surface and in the ambient air [45] . It can be calculated by Eq. 4: where R is the gas constant, Dv is the diffusion coefficient of water vapor, M is the molecular weight 11 of water, p∞ and pd are the water vapor pressures in the ambient air and on the droplet surface, 12 respectively, T∞ and Td are the temperatures of the ambient air and the droplet, respectively. However, the exhaled droplets contain some solutes. For instance, the major components of mucus 14 include Na + , Cl -, K + , lactate and glycoprotein [46] , which would form a droplet nuclei with a 15 diameter of about half of the original droplet size after evaporation [47] . The evaporation time for 16 a droplet to form a nucleus about half of its original size (half evaporation time, t1/2E) can be 17 calculated by Eq. 5: Based on Eq. 1 -3, the VTS is about 2.1 m s -1 for a 500-µm droplet, 0.25 m s -1 for a 100-µm droplet, 6.4 s for the 100-µm droplet, 5.2×10 2 s for the 10-µm droplet, to 5.3×10 4 s for the 1-µm droplet. This clearly indicates that the residence time of a droplet in still air is largely controlled by the 24 droplet size. It is also worth noting that it takes ≥ 5.2×10 2 s for droplets in the size range of < 10 25 J o u r n a l P r e -p r o o f µm to fall onto the ground, which may be sufficiently long for them to be inhaled and lead to 1 significant exposure. 100-µm droplet and 3.3×10 2 s for a 500-µm droplet. In other words, droplets < 10 µm evaporate 12 almost instantaneously, while larger droplets (> 100 µm) take a significantly longer time to 13 evaporate. In addition, high ambient RH slows down the droplet evaporation, while low RH 14 accelerates the evaporation. The t1/2E for the same droplet increases by one order of magnitude 15 when RH increases from 0% to 90%. The calculations indicate that, in the still ambient air under 16 typical indoor temperature and RH, large respiratory droplets (> 100 µm) settle and fall onto the 17 ground quickly with a limited airborne time (commonly less than a few seconds), while small 18 droplets (roughly < 10 µm) evaporate completely and form the droplet nuclei within one second. 19 The decrease in size due to the evaporation prolongs the droplet residence time in the air. Several sophisticated models have been applied to simulate the transport and related dynamics of 2 droplets emitted from respiratory activities, as summarized in Table 3 . Among them, physical 3 models, mathematical models and Lagrangian models consider several forces acting on the droplets 4 in still ambient air, such as the gravitational force, the drag force, the buoyancy force, etc., and take 5 into account the droplet evaporation in most cases [48] [49] [50] [51] . The exhaled air is commonly treated as 6 a turbulent jet with varying initial velocities (ranging from 1 to 50 m s -1 ) entering the still ambient When the air is exhaled in a horizontal direction in still air condition, the droplet dynamics can be 12 simplified into evaporation, vertical falling, and horizontal travel, which are heavily influenced by 13 the droplet size, the initial air velocity and RH. As illustrated in Fig. 1 , the evaporation rate is 14 controlled by droplet size, with small droplets evaporating rapidly to form dried nuclei and large 15 droplets evaporating slowly. Note that there is no absolute division for small and large droplets as 16 it is also influenced by environmental factors (temperature, RH, etc.). Vertically, large droplets fall onto the ground quickly because of gravity [21, 50]. Small droplets 18 have a low gravitational falling velocity, and the reduction in size due to rapid evaporation helps to travel a short distance horizontally. The distinct behaviors of droplets in the exhaled jet can be 18 explained by the relaxation time (the time required for a droplet to adjust its velocity to new forces), 19 which is proportional to the square of the diameter [45], e.g., 3.1×10 -4 s, 3.1×10 -2 s and 6.7 s for 1 droplets of 10 μm, 100 μm and 1500 μm, respectively. Therefore, small droplets quickly follow the 2 exhaled air stream while very large droplets tend to maintain their own velocity. Moreover, while 3 high RH promotes the gravitational falling, it also leads to a longer horizontal travel distance in 4 still air [50]. As demonstrated above, large, medium and small droplets have different transport and dynamic 6 patterns. Assuming a typical scenario with two persons facing each other at a short distance, 7 questions arise as to whether this scenario causes the exposure to expiratory virus-laden droplets? 8 If yes, which droplet size and initial velocity (corresponding to different expiratory activities) (1) Droplets > 400 μm travel > 2 m. (2) Droplets of 75 -400 μm travel the shortest distance (< 2 m) and fall onto the ground rapidly. (3) Droplets < 75 μm follow the air stream and be widely dispersed. (4) Regarding exposure, the airborne route is more important than the large droplet route. Modeling studies on dynamics of respiratory droplets in public transport are presented in Table 4 . (1) The through flow and back door exhaust (case 3) has the highest droplets removal ability but also the longest dispersion distance. (2) The no through flow and lower exhaust (case 2) shows the minimum impact to other passengers. High speed train CFD 4 types of air suppy diffusers on the sidewall or ceiling; outlets on the bottom of sidewalls (1) Gas and particle show different dispersion patterns with the same diffisuer. (2) Diffuser type 1 is best in restricting gas from dispersing to other passengers. (3) Diffuser type 2 and 3 lead to smaller average particle volume fraction in breathing zone. Overall, current literature points to high transmission rates on coach or tour buses, which can be 1 attributed to the insufficient ventilation [18] and prolonged time of close contact among passengers 2 (ranging from a few hours to a few days). Based on very limited evidence, it appears that the use 3 of transit bus or school bus is associated with much lower transmission risk, which might be 4 explained by the wearing of face mask, shorter riding duration and frequent opening of bus doors. On the other hand, epidemiological study on city transit bus may be more challenging as it is 6 difficult to collect the riding information and trace the passengers. High transmission rates occurred at close distance, e.g., 3.8% for those sitting within two rows 1 from the index case compared to an overall transmission rate of 0.2% [78] , and 9.2% for those 2 sitting adjacent to the index case compared to an overall transmission rate of 0.33% -0.60% [12] . 3 Swadi et al. [7] found that all the infected cases were seated within two rows and two columns in the air [102] . In other words, low RH favors the airborne transmission. It is recommended to 6 keep the indoor RH in the range of 40% -60%, which lowers the virus survival rate and infectivity, 7 reduces the risk of airborne transmission, and is also comfortable to humans [103]. 137.5 µm deposit around 5 s and 3 s, respectively [38] . The horizontal travel distance for droplets 18 is limited to 0.31 m. It must be noted that such influence can be very case-specific, as the particle 19 dynamics can also be affected by the temperature distribution, the relative locations between the 20 infection source and susceptible subject, the initial droplet velocity as well as the indoor air flow susceptible subject [39] . Under the ceiling-return type of airflow, the droplets first transport downward due to gravity and droplets < 45 µm is across the whole room width (2.4 m) [38] , which is much greater than in the 2 case of unidirectional downward flow or still air condition [53] . 3 Under the unidirectional upward air flow, which is also associated with displacement ventilation, 4 the temperature difference between exhaled air and ambient air was smallest in the upward air flow, 5 which caused the exhaled air to rise less vertically than in the mixing ventilation or without 6 ventilation conditions [43] . (1) A considerable number of droplets in both super-micron and sub-micron size ranges are emitted 7 from human respiratory activities, except breathing which produces droplets mainly < 1.0 μm. 8 Droplet size and number as well as the exhaled velocity vary between different respiratory activities. in the coach/tour bus (17%, 35.3%, 44% and 92%) were much higher than in a school bus and 3 transit bus, which might be attributed to the differences in the opening of windows or doors, the 4 co-travel (exposure) time and wearing of face mask. Evidence from New York city indicates that 5 higher subway ridership was associated with increased COVID-19 infection rate and mortality. The transmission rates in airplanes were 0 -10% (median: 0.36%) and 0.32 % in high-speed trains Spatial transmission of COVID-19 via public and private 11 transportation in China Parallel trends in the 13 transmission of SARS-CoV-2 and retail/recreation and public transport mobility during non-lockdown 14 periods Introductions and early spread of 21 SARS-CoV-2 in the New York City area The roles of transportation and 23 transportation hubs in the propagation of influenza and coronaviruses: a systematic review Genomic evidence of in-flight transmission of SARS-CoV-2 despite predeparture 29 testing Probable aircraft transmission of Covid-19 in-flight from 31 the Central African Republic to France Transmission of SARS-CoV-2 in public transportation vehicles: 34 a case study in Hunan Province, China Community outbreak investigation of SARS-CoV-2 transmission among bus riders in Eastern China Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 42 prevalence in New York City Risk of SARS-CoV-2 2 transmission among air passengers in China COVID-19 outbreak on the Diamond Princess cruise ship: 5 estimating the epidemic potential and effectiveness of public health countermeasures SARS-CoV-2 routes of 9 transmission and recommendations for preventing acquisition: joint British Infection Association 10 (BIA), Healthcare Infection Society (HIS), Infection Prevention Society (IPS) and Royal College of 11 Pathologists (RCPath) guidance The Sources and Modes of Infection The coronavirus pandemic and aerosols: Does 14 COVID-19 transmit via expiratory particles? Airborne transmission of SARS-CoV-2: The world should face the reality Predominant airborne transmission and insignificant fomite transmission of SARS-CoV-2 in a two-19 bus COVID-19 outbreak originating from the same pre-symptomatic index case Insufficient ventilation led to a probable long-23 range airborne transmission of SARS-CoV-2 on two buses The size and the duration of air-carriage of respiratory droplets and droplet-nuclei Exhaled droplets due to talking and coughing Transport of expiratory droplets in an aircraft cabin An advanced numerical model for the assessment of 31 airborne transmission of influenza in bus microenvironments Modeling and mitigating airborne pathogen risk factors in school buses Droplet expulsion from the respiratory tract Aerosol emission 38 and superemission during human speech increase with voice loudness 41 Dispersion and exposure to a cough-generated aerosol in a simulated medical examination room Modality of human expired aerosol size distributions Characterization of expiration air jets and droplet size 48 distributions immediately at the mouth opening Characterizations of particle size distribution of the droplets 50 exhaled by sneeze Scheuch, 1 Inhaling to mitigate exhaled bioaerosols Effect of airway opening on production of exhaled particles Size distribution of exhaled 7 particles in the range from 0.01 to 2.0μm Singing and the dissemination of tuberculosis, American Review of 9 Respiratory Disease Size distribution and sites of origin of droplets expelled from the human 12 respiratory tract during expiratory activities Quantity, size distribution, and 14 characteristics of cough-generated aerosol produced by patients with an upper respiratory tract 15 infection Turbulent gas clouds and respiratory pathogen emissions: potential implications for 17 reducing transmission of COVID-19 A study of the dispersion of expiratory aerosols in unidirectional downward 19 and ceiling-return type airflows using a multiphase approach Person to person droplets transmission characteristics in unidirectional 21 ventilated protective isolation room: The impact of initial droplet size Study on transport characteristics of saliva droplets produced by 24 coughing in a calm indoor environment Study on the initial 26 velocity distribution of exhaled air from coughing and speaking Human exhalation characterization with the aid of 29 schlieren imaging technique Distribution of exhaled 31 contaminants and personal exposure in a room using three different air distribution strategies Atmospheric chemistry and physics, from air pollution to climate change Aerosol Technology: properties, behavior, and measurement of airborne particles Dilution of respiratory solutes in exhaled condensates Toward understanding the risk of secondary airborne 41 infection: emission of respirable pathogens Short-range airborne route dominates exposure of 44 respiratory infection during close contact Numerical simulations of biological droplet transport in an indoor 46 environment Study of SARS transmission via liquid droplets 48 in air How far droplets can move in indoor 50 environments -revisiting the Wells evaporation-falling curve Transport and removal of expiratory droplets in hospital ward 1 environment Numerical study of the transport of droplets or particles generated by 3 respiratory system indoors Simulation of aerosol 5 transmission on a Boeing 737 airplane with intervention measures for COVID-19 mitigation The effect of opening window position on aerosol transmission in an enclosed bus 8 under windless environment Transmission of pathogen-10 laden expiratory droplets in a coach bus Spatial Distribution of Exhalation Droplets in the Bus 12 in Different Seasons 15 Risk assessment of airborne COVID-19 exposure in social settings The effects of diffuser type on thermal flow and contaminant transport 17 in high-speed train (HST) cabins -a numerical study Dispersion of coughed droplets in a fully-occupied high-speed rail cabin Numerical analysis of droplets exhaled by train cabin 22 passengers Ventilation strategies and air quality management in 24 passenger aircraft cabins: A review of experimental approaches and numerical simulations, Science 25 and Technology for the Prediction of the spread of Corona-virus carrying droplets in a bus-A computational based 28 artificial intelligence approach Tracing surface and 31 airborne SARS-CoV-2 RNA inside public buses and subway trains Presence of 36 SARS-CoV-2 in the air of public places and transportation SARS-CoV-2 and Public Transport in Italy Air and surface measurements 44 of SARS-CoV-2 inside a bus during normal operation High attack rate of SARS-CoV-2 infections during a 48 bus tour in Japan The Significance of Duration of Exposure and 50 Circulation of Fresh Air in SARS-CoV-2 Transmission Among Healthcare Workers COVID-19 Transmission during 1 Transportation of 1st to 12th Grade Students: Experience of an Independent School in Virginia Daily use of public transportation and incidence of 4 symptomatic COVID-19 among healthcare workers during the peak of a pandemic wave in Zurich Face coverings and respiratory tract droplet dispersion Neighborhood-10 level disparities and subway utilization during the COVID-19 pandemic Correlation of subway turnstile entries 13 and COVID-19 incidence and deaths in Socioeconomic disparities in subway use and 16 COVID-19 outcomes in New York City, medRxiv : the preprint server for health sciences Subway Ridership, Crowding, or Population Density: Determinants of COVID-18 Asymptomatic transmission of 20 SARS-CoV-2 on evacuation flight Risk of 22 symptomatic COVID-19 due to aircraft transmission: a retrospective cohort study of contact-traced 23 flights during England's containment phase, Influenza Other Respir In-flight transmission of SARS-CoV-2 Transmission of SARS-CoV-2 During Long-Haul Flight Absence of in-flight transmission of SARS-CoV-2 likely due to use of face masks on board Lack of COVID-19 transmission on an international flight Early transmission patterns of coronavirus disease 2019 39 (COVID-19) in travellers from Wuhan to Thailand Probability and estimated risk of SARS-CoV-2 transmission in the air travel system Transmission of SARS-CoV-2 during air travel: a descriptive and modelling study Flight-Associated Transmission of Severe Acute Respiratory Syndrome 48 Coronavirus 2 Corroborated by Whole-Genome Sequencing Transmission of SARS-CoV-2 during a 2-h 52 domestic flight to Okinawa Potential transmission of SARS-CoV-2 on a flight from Singapore to 4 An epidemiological investigation CoV-2 transmission on an international flight and among a tourist group A case series of flight attendants at risk of 10 COVID-19 in South Korea in 2020 In-flight transmission of 13 COVID-19 on flights to Greece: An epidemiological analysis SARS-CoV-2 infection among returnees on charter flights to 23 Japan from Hubei High prevalence of 27 SARS-CoV-2 infection in repatriation flights to Greece from three European countries SARS-CoV-2 infection prevalence on repatriation flights from Wuhan City SARS-CoV-2 Infection among Travelers 40 Returning from Wuhan, China Routes of transmission of influenza 42 A H1N1, SARS CoV, and norovirus in air cabin: comparative analyses Logistic 45 growth of a surface contamination network and its role in disease spread Effects of air temperature and 48 relative humidity on coronavirus survival on surfaces Survival of the 1 enveloped virus Phi6 in droplets as a function of relative humidity, absolute humidity, and 2 temperature Humidity-dependent decay of viruses, but not bacteria, in aerosols and droplets 4 follows disinfection kinetics Relationship between humidity and influenza A viability in 6 droplets and implications for influenza's seasonality Influence of wind and relative humidity on the social 8 distancing effectiveness to prevent COVID-19 airborne transmission: A numerical study An overview on the role of relative humidity in airborne 11 transmission of SARS-CoV-2 in indoor environments Association of the infection probability of COVID-19 with ventilation rates in 14 confined spaces Risk of transmission of airborne infection during train commute based on mathematical 16 model Testing of commercial masks and respirators and cotton 18 mask insert materials using SARS-CoV-2 virion-sized particulates: comparison of ideal aerosol 19 filtration efficiency versus fitted filtration efficiency Ability of fabric face mask materials to filter ultrafine 21 particles at coughing velocity Filtration efficiencies of nanoscale 23 aerosol by cloth mask materials used to slow the spread of SARS-CoV-2 Household materials selection for homemade cloth face coverings and 27 their filtration efficiency enhancement with triboelectric charging An analytical model for the effective filtration efficiency of single and multiple face 30 masks considering leakage Effectiveness of facemasks to reduce exposure hazards 32 for airborne infections among general populations Efficacy of masks 34 and face coverings in controlling outward aerosol particle emission from expiratory activities Respiratory virus 38 shedding in exhaled breath and efficacy of face masks Modelling the impact of the mandatory use of 40 face coverings on public transport and in retail outlets in the UK on COVID-19-related infections, 41 hospital admissions and mortality In-flight transmission of SARS-CoV-2: a review of the attack 43 rates and available data on the efficacy of face masks Face masks 45 effectively limit the probability of SARS-CoV-2 transmission