This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
air pollution | 1071 |
air quality | 493 |
indoor air | 340 |
flow rate | 189 |
air velocity | 170 |
pressure difference | 169 |
air travel | 167 |
particulate matter | 165 |
air filter | 158 |
health effects | 154 |
airborne transmission | 153 |
supply air | 150 |
pressure drop | 138 |
hong kong | 137 |
acute respiratory | 134 |
relative humidity | 129 |
air conditioning | 128 |
public health | 125 |
air pollutants | 123 |
physical distancing | 121 |
air flow | 120 |
outdoor air | 120 |
ambient air | 117 |
respiratory syndrome | 117 |
particle size | 109 |
exhaled air | 104 |
negative pressure | 103 |
hepa filter | 102 |
ventilation system | 98 |
respiratory tract | 96 |
united states | 96 |
human health | 96 |
severe acute | 96 |
fresh air | 95 |
infectious diseases | 95 |
air supply | 94 |
control measures | 92 |
natural ventilation | 91 |
ventilation systems | 89 |
indoor environments | 86 |
oxidative stress | 86 |
isolation ward | 85 |
indoor environment | 84 |
cord uid | 82 |
term exposure | 82 |
doc id | 82 |
air samples | 72 |
air curtains | 71 |
world health | 71 |
tracer gas | 71 |
filter paper | 70 |
displacement ventilation | 69 |
infection control | 68 |
systematic review | 68 |
influenza virus | 67 |
air change | 67 |
health care | 65 |
ventilation rate | 64 |
airborne particles | 64 |
infectious disease | 64 |
air filters | 63 |
heat exchanger | 62 |
filter media | 61 |
mechanical ventilation | 61 |
respiratory infections | 61 |
stack effect | 61 |
health organization | 61 |
air temperature | 60 |
temperature difference | 60 |
air heat | 59 |
particle diameter | 58 |
respiratory diseases | 58 |
air purifier | 58 |
airborne bacteria | 58 |
bioaerosol sampling | 57 |
buffer room | 57 |
air angle | 57 |
office buildings | 57 |
return air | 56 |
particulate air | 55 |
air pollutant | 55 |
breathing zone | 54 |
collection efficiency | 53 |
conditioning system | 53 |
exhaled contaminants | 53 |
droplet nuclei | 53 |
sick building | 53 |
building syndrome | 52 |
disease transmission | 52 |
ventilation rates | 52 |
exposed controls | 52 |
air exchange | 52 |
particle concentration | 52 |
fungal spores | 50 |
pulmonary disease | 49 |
outside air | 49 |
airborne microorganisms | 49 |
airborne pathogens | 48 |
change rate | 47 |
aip desk | 47 |
indirect exposure | 47 |
environmental factors | 46 |
mixing ventilation | 46 |
carbon monoxide | 45 |
volatile organic | 45 |
pig farmers | 45 |
human pathogens | 45 |
infectious agents | 44 |
cabin air | 44 |
lung cancer | 44 |
sea level | 43 |
patient exhaled | 43 |
mass fraction | 43 |
respiratory disease | 43 |
per person | 43 |
experimental data | 43 |
pollutant concentrations | 43 |
air infiltration | 42 |
exhaust air | 42 |
pollution exposure | 41 |
infection risk | 41 |
size distribution | 41 |
air handling | 41 |
chronic obstructive | 41 |
climate change | 41 |
risk perception | 40 |
nitrogen dioxide | 40 |
isolation room | 40 |
fluid dynamics | 40 |
risk factors | 40 |
environmental conditions | 39 |
carbon dioxide | 39 |
obstructive pulmonary | 39 |
air distribution | 39 |
indoor environmental | 38 |
commercial aircraft | 38 |
filtration efficiency | 38 |
mycobacterium tuberculosis | 38 |
organic compounds | 38 |
per hour | 38 |
local air | 37 |
environmental quality | 37 |
hepa filters | 37 |
may also | 37 |
respiratory symptoms | 37 |
even though | 37 |
electric field | 36 |
central air | 36 |
filtration velocity | 36 |
respiratory droplets | 36 |
clean air | 36 |
epithelial cells | 36 |
exchange rate | 36 |
novel coronavirus | 36 |
pig buildings | 35 |
sbs symptoms | 35 |
electrostatic cleaner | 35 |
coronavirus disease | 35 |
adverse health | 35 |
smaller particles | 35 |
wind speed | 34 |
hvac system | 34 |
built environment | 34 |
normalized exposure | 34 |
target cells | 34 |
air cleaning | 34 |
aerosol transmission | 33 |
fine particulate | 33 |
important role | 33 |
flow rates | 33 |
health impacts | 33 |
air sampling | 33 |
upper respiratory | 33 |
wind direction | 33 |
heat transfer | 33 |
bioaerosol particles | 33 |
mm hg | 33 |
pollution levels | 32 |
door opening | 32 |
airborne infection | 32 |
air ventilation | 32 |
conditioning systems | 31 |
case study | 31 |
health risks | 31 |
risk assessment | 31 |
computational fluid | 31 |
respiratory health | 31 |
direct exposure | 31 |
exposure assessment | 30 |
target person | 30 |
pollution control | 30 |
thermal comfort | 30 |
energy consumption | 30 |
personal exposure | 29 |
high efficiency | 29 |
supply chain | 29 |
immune response | 29 |
water vapor | 29 |
maximum value | 29 |
czech republic | 29 |
exhaled pollutants | 29 |
health impact | 29 |
cystic fibrosis | 29 |
arbsw system | 29 |
pg ml | 29 |
disease control | 28 |
lung function | 28 |
air volume | 28 |
impact assessment | 28 |
co concentration | 28 |
particles will | 28 |
increased risk | 28 |
bioaerosol exposure | 27 |
new york | 27 |
air transportation | 27 |
case fatality | 27 |
viral infections | 27 |
buoyant flow | 27 |
glass fiber | 27 |
middle east | 27 |
exhaled flow | 27 |
intensive care | 27 |
heat recovery | 27 |
human body | 26 |
heavy metals | 26 |
table shows | 26 |
staphylococcus aureus | 26 |
total number | 26 |
air stream | 26 |
sulfur dioxide | 26 |
sampling time | 26 |
nasopharynx samples | 26 |
crew members | 26 |
airborne viruses | 26 |
air system | 26 |
aerodynamic diameter | 26 |
air purification | 26 |
larger particles | 25 |
polluted area | 25 |
lower respiratory | 25 |
air flows | 25 |
hospital admissions | 25 |
health risk | 25 |
nasopharyngeal flora | 25 |
related air | 25 |
efficiency particulate | 25 |
health authorities | 25 |
ultrafine particles | 25 |
infiltration rate | 25 |
proposed method | 25 |
isolation rooms | 25 |
virus transmission | 25 |
recent years | 25 |
indoor airborne | 25 |
microbial contamination | 25 |
building materials | 25 |
adverse effects | 25 |
handling unit | 25 |
activated carbon | 25 |
heat exchangers | 24 |
recirculated air | 24 |
per year | 24 |
allergic rhinitis | 24 |
social distancing | 24 |
infected person | 24 |
life expectancy | 24 |
statistically significant | 24 |
office workers | 24 |
direct contact | 24 |
air circulation | 24 |
efficiency air | 24 |
lung disease | 24 |
drag coefficient | 24 |
turbulent flow | 24 |
much higher | 23 |
air disinfection | 23 |
positive pressure | 23 |
aircraft cabin | 23 |
several studies | 23 |
fixed effects | 23 |
dust collecting | 23 |
respiratory viruses | 23 |
collector cone | 23 |
airborne spread | 23 |
will also | 23 |
air filtration | 23 |
environmental protection | 23 |
room temperature | 23 |
size range | 23 |
pressure isolation | 23 |
without air | 22 |
consulting desk | 22 |
indoor bioaerosol | 22 |
high levels | 22 |
virus particles | 22 |
airborne bacterial | 22 |
urban areas | 22 |
boundary conditions | 22 |
mechanically ventilated | 22 |
health problems | 22 |
open spaces | 22 |
cohort study | 22 |
reynolds number | 22 |
experimental results | 22 |
airflow rate | 22 |
three different | 22 |
avian influenza | 22 |
exhaled breath | 22 |
nucleic acid | 22 |
thermal plume | 21 |
measured using | 21 |
remain suspended | 21 |
pm concentration | 21 |
tract infections | 21 |
fiber filter | 21 |
dust holding | 21 |
flight crew | 21 |
widely used | 21 |
air next | 21 |
aerosol particles | 21 |
indoor airflow | 21 |
air dehumidification | 21 |
high level | 21 |
flow field | 21 |
recent study | 21 |
heart disease | 21 |
integrated air | 21 |
environmental surfaces | 21 |
respiratory failure | 21 |
nasal cavity | 20 |
mainstream area | 20 |
road transport | 20 |
urban air | 20 |
small particles | 20 |
syndrome coronavirus | 20 |
hvac systems | 20 |
different types | 20 |
air pressure | 20 |
land use | 20 |
human activities | 20 |
supply chains | 20 |
residential buildings | 20 |
settling velocity | 20 |
significantly higher | 20 |
time series | 20 |
risk factor | 20 |
developing countries | 20 |
concentration levels | 20 |
spring festival | 20 |
holding capacity | 20 |
atmospheric pressure | 19 |
fine particles | 19 |
icu admission | 19 |
pollutant concentration | 19 |
high air | 19 |
office building | 19 |
polluted air | 19 |
ward cubicle | 19 |
index case | 19 |
airborne infectious | 19 |
elevator doors | 19 |
liquid membrane | 19 |
east respiratory | 19 |
surface area | 19 |
pollution source | 19 |
respiratory system | 19 |
viral load | 19 |
health outcomes | 19 |
particle deposition | 19 |
previous studies | 19 |
particle concentrations | 19 |
care workers | 19 |
chronic exposure | 19 |
microbial communities | 19 |
mass transfer | 19 |
resistance genes | 19 |
fluid flow | 19 |
air curtain | 19 |
fibrous filter | 19 |
environmental pollution | 19 |
airborne microbes | 19 |
hydrogen peroxide | 19 |
poor ventilation | 19 |
air decontamination | 19 |
outside temperature | 19 |
will increase | 19 |
control group | 19 |
ventilation strategies | 19 |
ventilated rooms | 19 |
environmental health | 18 |
influenza season | 18 |
common cold | 18 |
liquid film | 18 |
tube length | 18 |
respiratory syncytial | 18 |
air inlet | 18 |
large number | 18 |
ultraviolet germicidal | 18 |
th floor | 18 |
epidemiological studies | 18 |
tall buildings | 18 |
air sampler | 18 |
flow cytometry | 18 |
healthcare facilities | 18 |
syncytial virus | 18 |
copyright holder | 18 |
authors declare | 18 |
significant difference | 18 |
vaccine effectiveness | 18 |
optimal control | 18 |
may occur | 18 |
boundary layer | 18 |
wastewater treatment | 18 |
glass fibrous | 18 |
occupational exposure | 18 |
moisture transfer | 18 |
cross section | 18 |
wind tunnel | 18 |
filter material | 18 |
two times | 18 |
operating room | 18 |
long distances | 17 |
granted medrxiv | 17 |
sars virus | 17 |
ventilation air | 17 |
average concentration | 17 |
lassa fever | 17 |
high voltage | 17 |
will occur | 17 |
immune system | 17 |
contaminant transport | 17 |
healthcare workers | 17 |
particle counting | 17 |
lockdown measures | 17 |
threshold local | 17 |
atmospheric dust | 17 |
author funder | 17 |
airborne microbial | 17 |
following equation | 17 |
air conditioners | 17 |
recent studies | 17 |
public buildings | 17 |
room air | 17 |
mathematical model | 17 |
unidirectional flow | 17 |
nitrogen oxides | 17 |
flow cleanroom | 17 |
medical personnel | 17 |
pig farmer | 17 |
face masks | 17 |
high concentration | 17 |
ambient particulate | 17 |
germicidal irradiation | 17 |
high risk | 17 |
uniform distribution | 17 |
growth rate | 17 |
care facilities | 17 |
air recirculation | 17 |
highly infectious | 17 |
cosmic radiation | 17 |
weather conditions | 17 |
simulation results | 16 |
carbon nanotube | 16 |
airborne route | 16 |
air activity | 16 |
monitoring stations | 16 |
calculated using | 16 |
healthy subjects | 16 |
medical staff | 16 |
dust particles | 16 |
counting efficiency | 16 |
emergency medical | 16 |
deposited particles | 16 |
carbon nanotubes | 16 |
normal individuals | 16 |
climatic conditions | 16 |
mainly due | 16 |
quality index | 16 |
cohort studies | 16 |
rise buildings | 16 |
aromatic hydrocarbons | 16 |
dental offices | 16 |
also used | 16 |
drag force | 16 |
fatality ratio | 16 |
face velocity | 16 |
air cargo | 16 |
respiratory viral | 16 |
significant differences | 16 |
healthy individuals | 16 |
nonuniform distribution | 16 |
wastewater workers | 16 |
field measurements | 16 |
particle counter | 16 |
distancing measures | 16 |
bioaerosol sampler | 16 |
indoor bioaerosols | 16 |
wind velocity | 16 |
air diffuser | 16 |
much larger | 16 |
air movement | 15 |
cabin environment | 15 |
may cause | 15 |
closed spaces | 15 |
spatial distribution | 15 |
microbial growth | 15 |
occupational asthma | 15 |
infectious risk | 15 |
york city | 15 |
susceptible individuals | 15 |
clean area | 15 |
bth region | 15 |
high temperature | 15 |
isolation wards | 15 |
wide range | 15 |
disease severity | 15 |
chain reaction | 15 |
body plume | 15 |
concentration level | 15 |
air transport | 15 |
respiratory distress | 15 |
separation velocity | 15 |
flow velocity | 15 |
polycyclic aromatic | 15 |
microbial community | 15 |
removal efficiency | 15 |
uv systems | 15 |
population density | 15 |
big data | 15 |
house dust | 15 |
windward side | 15 |
rights reserved | 15 |
experimental studies | 15 |
infected patients | 15 |
droplet transmission | 15 |
innate immune | 15 |
flight transmission | 15 |
bioaerosol concentrations | 15 |
may lead | 15 |
two different | 15 |
lives saved | 15 |
clostridium difficile | 15 |
food industry | 15 |
diesel exhaust | 15 |
close contact | 15 |
cut flower | 15 |
global burden | 15 |
hypoxic challenge | 15 |
distancing fraction | 15 |
temperature variation | 15 |
mount etna | 15 |
temperature gradient | 15 |
virus infection | 15 |
commonly used | 15 |
study found | 14 |
supplied air | 14 |
particle distribution | 14 |
public transport | 14 |
rise residential | 14 |
ventilation cases | 14 |
suspended particulate | 14 |
bioaerosol samplers | 14 |
million deaths | 14 |
incubation period | 14 |
bioaerosol concentration | 14 |
much less | 14 |
general population | 14 |
ventilation efficiency | 14 |
epidemiological evidence | 14 |
several factors | 14 |
infected cells | 14 |
also called | 14 |
allowed without | 14 |
may affect | 14 |
supply outlet | 14 |
airline companies | 14 |
airborne fungal | 14 |
economic costs | 14 |
nosocomial infections | 14 |
influenza viruses | 14 |
pollution co | 14 |
disinfection systems | 14 |
airborne disease | 14 |
benefit analysis | 14 |
airflow patterns | 14 |
short term | 14 |
number concentration | 14 |
results showed | 14 |
first floor | 14 |
high occupancy | 14 |
wind directions | 14 |
liquid flow | 14 |
protection agency | 14 |
aerosol collection | 14 |
exposed individuals | 14 |
primary air | 14 |
consulting ward | 14 |
critical review | 14 |
also shown | 14 |
personal samplers | 14 |
occupancy buildings | 14 |
experimental study | 14 |
uv irradiation | 14 |
premature mortality | 14 |
fibrous layer | 14 |
early stage | 14 |
seasonal influenza | 14 |
person distance | 14 |
medical equipment | 14 |
smoke particles | 14 |
wind pressure | 14 |
delivery window | 14 |
ventilation duration | 14 |
health benefits | 14 |
see table | 14 |
reuse allowed | 14 |
polymerase chain | 14 |
influencing factors | 14 |
aircraft cabins | 14 |
mass spectrometry | 14 |
present study | 14 |
pulmonary function | 14 |
exposure cases | 14 |
meteorological factors | 14 |
close proximity | 14 |
without permission | 14 |
airway inflammation | 14 |
human activity | 14 |
handling units | 14 |
bacterial cells | 13 |
deaths per | 13 |
infectious aerosols | 13 |
air return | 13 |
high altitude | 13 |
pandemic influenza | 13 |
peer review | 13 |
respiratory virus | 13 |
significant reduction | 13 |
pressure room | 13 |
fungal growth | 13 |
tobacco smoke | 13 |
medrxiv preprint | 13 |
patient sera | 13 |
heat pump | 13 |
airborne virus | 13 |
licl solution | 13 |
quality standards | 13 |
pollution concentrations | 13 |
open space | 13 |
air contamination | 13 |
energy saving | 13 |
hospital ward | 13 |
impact scope | 13 |
long term | 13 |
major role | 13 |
numerical investigation | 13 |
laminar flow | 13 |
viral infection | 13 |
energy performances | 13 |
following exposure | 13 |
road traffic | 13 |
ebola virus | 13 |
symptoms among | 13 |
correction coefficient | 13 |
economic activity | 13 |
flight deck | 13 |
prevention measures | 13 |
viral particles | 13 |
coating areal | 13 |
transmission routes | 13 |
differential abundance | 13 |
nitrogen oxide | 13 |
steady state | 13 |
matter air | 13 |
emergency department | 13 |
distancing policy | 13 |
future research | 13 |
escherichia coli | 13 |
emission rate | 13 |
active sampling | 13 |
alpha diversity | 13 |
antiviral drug | 13 |
door leakage | 13 |
residential areas | 13 |
relative abundance | 13 |
potentially polluted | 13 |
low pressure | 13 |
stale air | 13 |
per unit | 13 |
higher risk | 13 |
commercial air | 13 |
legionella pneumophila | 13 |
airborne particle | 12 |
upper floors | 12 |
supply outlets | 12 |
forming units | 12 |
aspergillus fumigatus | 12 |
contaminated surfaces | 12 |
commercial buildings | 12 |
occupied spaces | 12 |
decontamination technologies | 12 |
much lower | 12 |
pollutant exposure | 12 |
resistant staphylococcus | 12 |
exposure studies | 12 |
airflow pattern | 12 |
respiratory infection | 12 |
elevated levels | 12 |
particle removal | 12 |
occupational health | 12 |
air leakage | 12 |
air will | 12 |
dehumidification system | 12 |
airborne fungi | 12 |
calculated value | 12 |
sampling devices | 12 |
oxygen therapy | 12 |
air ducts | 12 |
studies suggest | 12 |
high concentrations | 12 |
temperature span | 12 |
climatic zones | 12 |
streptococcus pneumoniae | 12 |
contagious diseases | 12 |
particle transport | 12 |
microbial volatile | 12 |
social media | 12 |
relative pressure | 12 |
mathematical models | 12 |
operating theatres | 12 |
infected individuals | 12 |
surface contamination | 12 |
size distributions | 12 |
uv rays | 12 |
operating conditions | 12 |
health consequences | 12 |
significant effect | 12 |
tb transmission | 12 |
generation rate | 12 |
important factor | 12 |
supplementary material | 12 |
particle number | 12 |
mucous membrane | 12 |
air patients | 12 |
agar plate | 12 |
eddy area | 12 |
numerical simulation | 12 |
data collected | 12 |
differential pressure | 12 |
exhaust grilles | 12 |
human exposure | 12 |
air currents | 12 |
calculation method | 12 |
full fresh | 12 |
airborne diseases | 12 |
indoor pollutants | 12 |
air patient | 12 |
hypobaric hypoxia | 12 |
several hours | 12 |
oxygen flow | 12 |
biological particles | 12 |
infl uenza | 12 |
ozone exposure | 12 |
two beds | 12 |
adaptive immune | 12 |
causal effect | 12 |
autoimmune diseases | 12 |
bacterial community | 12 |
cooling capacity | 12 |
respiratory pathogens | 12 |
diffusion coefficient | 12 |
airborne influenza | 12 |
health symptoms | 12 |
uvgi systems | 12 |
per day | 12 |
cnt filter | 12 |
boundary condition | 12 |
black carbon | 12 |
related health | 12 |
bacterial bioaerosol | 12 |
two patients | 12 |
filter medium | 12 |
uv radiation | 12 |
leakage area | 12 |
many cases | 12 |
large droplets | 11 |
cabin pressure | 11 |
number concentrations | 11 |
energy efficiency | 11 |
relative abundances | 11 |
scientific community | 11 |
health concerns | 11 |
respiratory illness | 11 |
transmission dynamics | 11 |
kong planning | 11 |
northern italy | 11 |
time period | 11 |
level ozone | 11 |
open door | 11 |
heat source | 11 |
centrifugal force | 11 |
sagittal plane | 11 |
air flowing | 11 |
air may | 11 |
average concentrations | 11 |
biomass burning | 11 |
building height | 11 |
million people | 11 |
asthma symptoms | 11 |
bacillus anthracis | 11 |
immune responses | 11 |
lung diseases | 11 |
detailed information | 11 |
data analysis | 11 |
uv light | 11 |
cleaning technology | 11 |
human beings | 11 |
governing equations | 11 |
sampling device | 11 |
premature deaths | 11 |
improved air | 11 |
flower industry | 11 |
co concentrations | 11 |
culture medium | 11 |
years ago | 11 |
pressure drops | 11 |
nlrp inflammasome | 11 |
acquired infections | 11 |
adequate ventilation | 11 |
also important | 11 |
task force | 11 |
ambient temperature | 11 |
may increase | 11 |
th percentile | 11 |
culturable bacteria | 11 |
meningococcal disease | 11 |
air force | 11 |
influenza infections | 11 |
co levels | 11 |
ultraviolet light | 11 |
antibiotic resistance | 11 |
air velocities | 11 |
fungal contamination | 11 |
supplementary oxygen | 11 |
chronic respiratory | 11 |
farmer samples | 11 |
oxygen species | 11 |
treatment plants | 11 |
best results | 11 |
large particles | 11 |
distress syndrome | 11 |
many countries | 11 |
cumulative sampling | 11 |
bacterial concentration | 11 |
treatment room | 11 |
average temperature | 11 |
work environment | 11 |
forest fires | 11 |
inertial impaction | 11 |
small droplets | 11 |
pulmonary tuberculosis | 11 |
material balance | 11 |
sectional area | 11 |
operating rooms | 11 |
ionization electrode | 11 |
bioaerosol dynamics | 11 |
three groups | 11 |
results show | 11 |
protective equipment | 11 |
fiber diameter | 11 |
low air | 11 |
air within | 11 |
building occupants | 11 |
borne diseases | 11 |
particles larger | 11 |
anthropogenic activities | 11 |
cigarette smoke | 11 |
pollution may | 11 |
contaminated air | 11 |
cardiovascular disease | 11 |
dust source | 11 |
exposed control | 11 |
low levels | 11 |
chemical composition | 11 |
emission sources | 11 |
copd patients | 11 |
unit increase | 11 |
immunosuppressive drugs | 11 |
times higher | 11 |
water pollution | 11 |
public transportation | 11 |
per cubic | 11 |
health professionals | 11 |
air outlet | 11 |
reactive oxygen | 11 |
portable air | 11 |
background concentration | 11 |
microbial air | 11 |
microbial diversity | 11 |
air changes | 11 |
two sides | 11 |
differentiating direct | 11 |
planning department | 11 |
ventilation design | 11 |
deposition efficiency | 11 |
household air | 11 |
exposure levels | 11 |
communicable diseases | 11 |
care unit | 11 |
cardiovascular diseases | 11 |
important factors | 11 |
poor air | 11 |
aerobiology chamber | 10 |
capacity reduction | 10 |
global warming | 10 |
microbiological air | 10 |
meteorological conditions | 10 |
cabin ventilation | 10 |
exhaled droplets | 10 |
air density | 10 |
health concern | 10 |
exhalation port | 10 |
poorly ventilated | 10 |
exhaled jet | 10 |
velocity field | 10 |
sars transmission | 10 |
leeward side | 10 |
agar plates | 10 |
personal protective | 10 |
control system | 10 |
particle dispersion | 10 |
air exhaust | 10 |
nan doi | 10 |
multidisciplinary systematic | 10 |
current knowledge | 10 |
charged cnts | 10 |
carbon filter | 10 |
airborne human | 10 |
bacterial communities | 10 |
small enough | 10 |
diameter less | 10 |
particles may | 10 |
term effects | 10 |
evidence suggests | 10 |
must also | 10 |
negative controls | 10 |
closed environments | 10 |
dependent variable | 10 |
microporous membrane | 10 |
laser light | 10 |
sliding door | 10 |
statistical analysis | 10 |
cooling coils | 10 |
airborne survival | 10 |
linearly proportional | 10 |
face mask | 10 |
cabin crew | 10 |
infectious particles | 10 |
renewable energy | 10 |
another study | 10 |
diameter cm | 10 |
attributable risk | 10 |
outward leakage | 10 |
air communities | 10 |
asthma control | 10 |
international air | 10 |
sars coronavirus | 10 |
may contribute | 10 |
virus count | 10 |
generate ros | 10 |
stainless steel | 10 |
also found | 10 |
reproduction number | 10 |
transmission route | 10 |
hotel buildings | 10 |
collecting plate | 10 |
indoor fungi | 10 |
genome sequencing | 10 |
inflammasome activation | 10 |
emission reduction | 10 |
infiltration rates | 10 |
indoor spaces | 10 |
conventional spirometry | 10 |
better understand | 10 |
hospital wards | 10 |
also known | 10 |
cross infection | 10 |
exposure may | 10 |
cruise ships | 10 |
thoracic society | 10 |
high humidity | 10 |
prospective study | 10 |
may result | 10 |
tube diameter | 10 |
primary energy | 10 |
human respiratory | 10 |
contributing factor | 10 |
calculated result | 10 |
floor level | 10 |
ambient ultrafine | 10 |
ambient pm | 10 |
two types | 10 |
infection transmission | 10 |
base case | 10 |
study period | 10 |
global air | 10 |
daily mortality | 10 |
airliner cabin | 10 |
pm exposure | 10 |
settle plates | 10 |
environmental impact | 10 |
machine learning | 10 |
public places | 10 |
molecular diffusion | 10 |
tunnel experiments | 10 |
absolute pressure | 10 |
pm pollution | 10 |
also observed | 10 |
air supplied | 10 |
eahx systems | 10 |
tidal volume | 10 |
infection prevention | 10 |
pm concentrations | 10 |
sampling methods | 10 |
healthcare professionals | 10 |
time spent | 10 |
field campaigns | 10 |
contaminant concentration | 10 |
ozone layer | 10 |
slip correction | 10 |
elevator shaft | 10 |
sized particles | 10 |
cm air | 10 |
cladosporium spp | 10 |
low humidity | 10 |
will become | 10 |
remain airborne | 10 |
aeromedical evacuation | 10 |
inlet air | 10 |
areal density | 10 |
passive sampling | 10 |
warm air | 10 |
particulate pollution | 10 |
heat flux | 10 |
pollution concentration | 10 |
significantly lower | 10 |
inadequate ventilation | 10 |
scientific evidence | 10 |
fungal bioaerosol | 10 |
supported liquid | 10 |
control policy | 10 |
numerical model | 10 |
exposure time | 10 |
filtration area | 10 |
emission rates | 10 |
will cause | 10 |
two main | 10 |
gas exchange | 10 |
upper room | 10 |
bioaerosol material | 10 |
standard deviation | 10 |
field studies | 10 |
version posted | 10 |
total heat | 10 |
microbial recovery | 10 |
heat exchange | 10 |
air area | 10 |
mean concentration | 9 |
corona discharge | 9 |
many factors | 9 |
conditioning engineers | 9 |
rise building | 9 |
confined spaces | 9 |
pulmonary diseases | 9 |
general hospital | 9 |
rapid spread | 9 |
surgical masks | 9 |
strong link | 9 |
winter season | 9 |
deposited onto | 9 |
building ventilation | 9 |
previous study | 9 |
air purifiers | 9 |
upper airways | 9 |
cleaning system | 9 |
pristine filter | 9 |
wide variety | 9 |
molecular weight | 9 |
compressed air | 9 |
fuel combustion | 9 |
good samaritan | 9 |
slightly larger | 9 |
toxic effects | 9 |
influenza spread | 9 |
random forest | 9 |
antiretinal antibodies | 9 |
vegetative bacteria | 9 |
acid rain | 9 |
external costs | 9 |
ventilation strategy | 9 |
following expression | 9 |
organic chemicals | 9 |
solar radiation | 9 |
dental office | 9 |
pollution effects | 9 |
floor area | 9 |
residual lifetime | 9 |
sampling performance | 9 |
th century | 9 |
pollutant exchange | 9 |
clinical characteristics | 9 |
environmental implications | 9 |
see text | 9 |
size ranges | 9 |
real time | 9 |
avian flu | 9 |
along building | 9 |
particle collection | 9 |
airborne infections | 9 |
pc cm | 9 |
population size | 9 |
entrance doors | 9 |
conditioned air | 9 |
filtration performance | 9 |
ca membrane | 9 |
liquid medium | 9 |
posted august | 9 |
problems related | 9 |
low level | 9 |
cnt filters | 9 |
factors affecting | 9 |
first aid | 9 |
dry cough | 9 |
different air | 9 |
human coronavirus | 9 |
lower limit | 9 |
also pointed | 9 |
damaged buildings | 9 |
potential transmission | 9 |
commercially available | 9 |
heat wall | 9 |
two air | 9 |
reduce exposure | 9 |
mental health | 9 |
cfd simulation | 9 |
surface temperature | 9 |
bioaerosol samples | 9 |
significantly reduced | 9 |
pathogen transmission | 9 |
air humidity | 9 |
mean age | 9 |
vapor pressure | 9 |
per minute | 9 |
infectious respiratory | 9 |
another important | 9 |
viral respiratory | 9 |
electrostatic precipitation | 9 |
hypersensitivity pneumonitis | 9 |
fan coil | 9 |
enclosed environments | 9 |
air intake | 9 |
optimal physical | 9 |
airborne contaminants | 9 |
cubic meter | 9 |
air samplers | 9 |
improve air | 9 |
anthropogenic sources | 9 |
china academy | 9 |
air entering | 9 |
nasopharyngeal samples | 9 |
partial pressure | 9 |
microbial ecology | 9 |
gaseous pollutants | 9 |
three times | 9 |
potential role | 9 |
many studies | 9 |
higher floors | 9 |
attack rate | 9 |
dust collector | 9 |
eahx system | 9 |
infected people | 9 |
results obtained | 9 |
ventilated room | 9 |
simple method | 9 |
uv air | 9 |
important parameter | 9 |
infectious airborne | 9 |
exposure limits | 9 |
air isolation | 9 |
environmental contamination | 9 |
human lung | 9 |
preventive measures | 9 |
suspended particles | 9 |
unit dispersion | 9 |
supply flow | 9 |
different supply | 9 |
biologic warfare | 9 |
exchange rates | 9 |
fungal species | 9 |
viral hemorrhagic | 9 |
whole tree | 9 |
initial concentration | 9 |
smoke particulates | 9 |
systematic reviews | 9 |
may help | 9 |
disease spread | 9 |
time pcr | 9 |
case studies | 9 |
aerosol dispersal | 9 |
determine whether | 9 |
guest rooms | 9 |
thermal performance | 9 |
developed countries | 9 |
pressure differences | 9 |
small size | 9 |
commercial flights | 9 |
exposure misclassification | 9 |
less likely | 9 |
viral aerosols | 9 |
diversity measures | 9 |
particle counts | 9 |
particles generated | 9 |
ashrae standard | 9 |
elevator halls | 9 |
infection risks | 9 |
displacement ventilated | 9 |
cooling coil | 9 |
pressure coefficients | 9 |
observational study | 9 |
traffic restrictions | 9 |
middle ear | 9 |
outdoor environments | 9 |
deposition rate | 9 |
health effect | 9 |
public concern | 9 |
coil unit | 9 |
global health | 9 |
dust mite | 9 |
health hazards | 9 |
higher concentrations | 9 |
particles smaller | 9 |
distributed lag | 9 |
mass flow | 9 |
systems may | 9 |
tight door | 9 |
clinical features | 9 |
diameter larger | 9 |
american society | 9 |
analytical methods | 9 |
expiratory flow | 9 |
standard errors | 9 |
tensile strength | 9 |
indoor space | 9 |
pseudomonas aeruginosa | 9 |
healthcare environments | 9 |
corona virus | 9 |
cfd model | 9 |
acute exposure | 9 |
total pressure | 9 |
reduce air | 9 |
time needed | 9 |
inflammatory responses | 9 |
pressure distribution | 9 |
residential building | 9 |
possible transmission | 9 |
inflammatory response | 9 |
field test | 8 |
geometric mean | 8 |
scientific literature | 8 |
surgical mask | 8 |
critically ill | 8 |
speed air | 8 |
one study | 8 |
series study | 8 |
general inpatient | 8 |
air exchanges | 8 |
stachybotrys chartarum | 8 |
analysis methods | 8 |
competing interests | 8 |
comparative study | 8 |
national standard | 8 |
among occupants | 8 |
severe air | 8 |
square root | 8 |
human nasal | 8 |
cell death | 8 |
person contaminant | 8 |
free path | 8 |
will decrease | 8 |
help reduce | 8 |
lung fibrosis | 8 |
air min | 8 |
significantly reduce | 8 |
chronic diseases | 8 |
severe disease | 8 |
changes per | 8 |
potential health | 8 |
current covid | 8 |
finite volume | 8 |
olympic games | 8 |
benchmark case | 8 |
may become | 8 |
build simul | 8 |
total population | 8 |
south china | 8 |
msv year | 8 |
circulation air | 8 |
health doi | 8 |
second air | 8 |
room without | 8 |
aerosols produced | 8 |
negative air | 8 |
convective heat | 8 |
bioaerosol collection | 8 |
ros production | 8 |
target cell | 8 |
borne transmission | 8 |
rated flow | 8 |
normalized concentration | 8 |
los angeles | 8 |
expiratory droplets | 8 |
data indicate | 8 |
patients whose | 8 |
fatality rate | 8 |
fatigue syndrome | 8 |
may include | 8 |
time monitoring | 8 |
throughput sequencing | 8 |
results indicated | 8 |
composite membrane | 8 |
particle surface | 8 |
two cases | 8 |
chronic fatigue | 8 |
medical clearance | 8 |
childhood asthma | 8 |
filter samples | 8 |
bed hospital | 8 |
differentially abundant | 8 |
acceptable indoor | 8 |
incidence rate | 8 |
autoimmune retinopathy | 8 |
smoke exposure | 8 |
forced ventilation | 8 |
aerosol sampling | 8 |
cross point | 8 |
annual average | 8 |
range transport | 8 |
commercial airliner | 8 |
zone ventilation | 8 |
flow behavior | 8 |
convective flow | 8 |
airline passengers | 8 |
supplementary appendix | 8 |
study showed | 8 |
flower production | 8 |
clearance rate | 8 |
swine confinement | 8 |
cfu cm | 8 |
distribution calculation | 8 |
human mobility | 8 |
particles released | 8 |
next section | 8 |
term health | 8 |
acute lower | 8 |
warfare casualties | 8 |
infectious patients | 8 |
aerosol technology | 8 |
outdoor environment | 8 |
also suggested | 8 |
related deaths | 8 |
airline travel | 8 |
ionizing radiation | 8 |
pressure differential | 8 |
total air | 8 |
infected patient | 8 |
composting facilities | 8 |
starting point | 8 |
power plant | 8 |
studies considered | 8 |
serum samples | 8 |
medical care | 8 |
building research | 8 |
virus spread | 8 |
leakage areas | 8 |
gas concentration | 8 |
flow dynamics | 8 |
floriculture industry | 8 |
age groups | 8 |
authors concluded | 8 |
human occupants | 8 |
national institute | 8 |
literature review | 8 |
upper part | 8 |
indirect contact | 8 |
compact city | 8 |
thermal energy | 8 |
climatic areas | 8 |
regression model | 8 |
optimal policy | 8 |
civil aviation | 8 |
theoretical value | 8 |
respiratory illnesses | 8 |
sick passenger | 8 |
rare earth | 8 |
virus survival | 8 |
efficiency filter | 8 |
maximum likelihood | 8 |
take place | 8 |
long flights | 8 |
highest levels | 8 |
air grille | 8 |
boosted regression | 8 |
plume generated | 8 |
important source | 8 |
incompressible navier | 8 |
pm air | 8 |
relatively low | 8 |
million premature | 8 |
different environmental | 8 |
european cohorts | 8 |
office environment | 8 |
dry air | 8 |
energy recovery | 8 |
two meters | 8 |
calculation result | 8 |
natural experiment | 8 |
respiratory protection | 8 |
transient simulations | 8 |
indoor sources | 8 |
next step | 8 |
human exhaled | 8 |
urban area | 8 |
transfer coefficient | 8 |
long time | 8 |
extreme air | 8 |
considered pm | 8 |
one side | 8 |
table summarizes | 8 |
environmental monitoring | 8 |
two methods | 8 |
airborne concentrations | 8 |
significant risk | 8 |
environmental control | 8 |
control strategies | 8 |
concentration field | 8 |
deaths averted | 8 |
droplet size | 8 |
mean free | 8 |
high density | 8 |
raw material | 8 |
based methods | 8 |
blood gas | 8 |
ill patients | 8 |
viral simulant | 8 |
county level | 8 |
resource management | 8 |
entry screening | 8 |
emergency room | 8 |
mortality rates | 8 |
infections among | 8 |
airflow distribution | 8 |
air cleaner | 8 |
rise hospitals | 8 |
discrete phase | 8 |
continuous monitoring | 8 |
influenza infection | 8 |
mucous membranes | 8 |
including air | 8 |
total resistance | 8 |
higher air | 8 |
iaq audit | 8 |
window leakage | 8 |
occur due | 8 |
electrostatic precipitator | 8 |
like symptoms | 8 |
sars outbreak | 8 |
air microbiome | 8 |
highly contagious | 8 |
south korea | 8 |
pore size | 8 |
specific humidity | 8 |
coal fires | 8 |
next generation | 8 |
particle density | 8 |
attributable fraction | 8 |
confinement buildings | 8 |
mean residual | 8 |
bacteriophage ms | 8 |
heating coil | 8 |
inflammatory airway | 8 |
particles collected | 8 |
reduced air | 8 |
soy agar | 8 |
parallel trend | 8 |
infection spread | 8 |
principal coordinate | 8 |
data set | 8 |
microbial pollution | 8 |
pairwise distances | 8 |
may play | 8 |
base study | 8 |
sample collection | 8 |
ventilation mode | 8 |
hospital admission | 8 |
light sheet | 8 |
tract symptoms | 8 |
activity level | 8 |
energy performance | 8 |
transmitted via | 8 |
allows us | 8 |
travel restrictions | 8 |
care system | 8 |
quality within | 8 |
air conditions | 8 |
average mass | 8 |
university hospital | 8 |
perceived air | 8 |
air cleanliness | 8 |
air sample | 8 |
biological agents | 8 |
three kinds | 8 |
center point | 8 |
environmental samples | 8 |
drinking water | 8 |
enclosure line | 8 |
occupational safety | 8 |
sampling sites | 8 |
room height | 7 |
chronic rhinosinusitis | 7 |
nucleic acids | 7 |
uv lamps | 7 |
special attention | 7 |
water bodies | 7 |
least one | 7 |
major cities | 7 |
bioaerosol levels | 7 |
ventilated spaces | 7 |
particles per | 7 |
negative health | 7 |
risks associated | 7 |
allergic patients | 7 |
human microbiome | 7 |
slightly higher | 7 |
symptomatic patients | 7 |
artificial lung | 7 |
latent load | 7 |
gradient boosted | 7 |
rad laboratories | 7 |
pressure flow | 7 |
sampling protocol | 7 |
rate coefficient | 7 |
collected particles | 7 |
gases emitted | 7 |
current ventilation | 7 |
surrounding air | 7 |
primary diagnosis | 7 |
pd whole | 7 |
microbial exposure | 7 |
east asia | 7 |
natural disasters | 7 |
beta diversity | 7 |
median sagittal | 7 |
chest tightness | 7 |
linear models | 7 |
sampling period | 7 |
sided natural | 7 |
engineered nanoparticles | 7 |
heat sources | 7 |
diseases caused | 7 |
airborne particulate | 7 |
operating costs | 7 |
pian rosa | 7 |
severe pneumonia | 7 |
potential effects | 7 |
industrial activities | 7 |
every min | 7 |
influenza outbreak | 7 |
surgical facemask | 7 |
many people | 7 |
aerosols generated | 7 |
mass fractions | 7 |
average value | 7 |
listeria monocytogenes | 7 |
shear forces | 7 |
rsv activity | 7 |
infants hospitalized | 7 |
response function | 7 |
based samplers | 7 |
final year | 7 |
novel air | 7 |
opening windows | 7 |
different indoor | 7 |
assessing nitrogen | 7 |
occupied space | 7 |
long distance | 7 |
international travel | 7 |
mass transit | 7 |
inflammatory effects | 7 |
unifrac distance | 7 |
leakage data | 7 |
commercial flight | 7 |
room systems | 7 |
fossil fuel | 7 |
patients infected | 7 |
outbreak associated | 7 |
nitric oxide | 7 |
epidemic spread | 7 |
bacterial concentrations | 7 |
percentage change | 7 |
pollution states | 7 |
widely accepted | 7 |
silver nanoparticles | 7 |
regional air | 7 |
meteorological data | 7 |
simulation scenario | 7 |
higher prevalence | 7 |
health endpoints | 7 |
medical kit | 7 |
significant improvement | 7 |
open windows | 7 |
whose primary | 7 |
analyzed using | 7 |
good agreement | 7 |
different ventilation | 7 |
bacterial diversity | 7 |
experimental measurements | 7 |
health regulations | 7 |
laminar airflow | 7 |
health measures | 7 |
laboratory conditions | 7 |
qiime script | 7 |
initial pressure | 7 |
limit value | 7 |
crisis resource | 7 |
escape project | 7 |
among children | 7 |
term air | 7 |
particle filtration | 7 |
logistic model | 7 |
concentration increased | 7 |
human influenza | 7 |
different climatic | 7 |
large numbers | 7 |
chronic bronchitis | 7 |
manufacturing process | 7 |
public awareness | 7 |
international standards | 7 |
drainage flow | 7 |
new zealand | 7 |
infectious risks | 7 |
mass movement | 7 |
polyvinyl chloride | 7 |
control study | 7 |
may indicate | 7 |
aerosol chamber | 7 |
industrial emissions | 7 |
flights lasting | 7 |
power plants | 7 |
hygrothermal response | 7 |
ventilation assessment | 7 |
cut flowers | 7 |
infectious agent | 7 |
sectional study | 7 |
radioactive material | 7 |
mostly used | 7 |
much faster | 7 |
airborne aspergillus | 7 |
deposition amount | 7 |
aerosol science | 7 |
comparatively large | 7 |
physicochemical properties | 7 |
sample recovery | 7 |
aviation supply | 7 |
low flow | 7 |
environmental justice | 7 |
particle sizes | 7 |
transition metals | 7 |
potential risks | 7 |
fatality risk | 7 |
matter exposure | 7 |
air per | 7 |
venous thromboembolism | 7 |
tryptic soy | 7 |
severe copd | 7 |
gu zhenchao | 7 |
higher level | 7 |
quality control | 7 |
driving force | 7 |
exhaust opening | 7 |
fev fvc | 7 |
hemorrhagic fevers | 7 |
particle trajectory | 7 |
exhaust airflow | 7 |
excess fraction | 7 |
mean values | 7 |
prospective cohort | 7 |
indoor fungal | 7 |
among different | 7 |
ultraviolet ray | 7 |
artificial lungs | 7 |
low relative | 7 |
sore throat | 7 |
gel electrophoresis | 7 |
us military | 7 |
cleaning area | 7 |
patients may | 7 |
gompertz model | 7 |
also shows | 7 |
tuberculosis transmission | 7 |
takes place | 7 |
fungal fragments | 7 |
airway pressure | 7 |
type diabetes | 7 |
basement floors | 7 |
become airborne | 7 |
cytokine production | 7 |
air enters | 7 |
parallel flow | 7 |
disease due | 7 |
invalid layer | 7 |
biological aerosol | 7 |
time scale | 7 |
average altitude | 7 |
generation zone | 7 |
pollutant dispersion | 7 |
gene expression | 7 |
rsv positive | 7 |
culture media | 7 |
three types | 7 |
next spirometer | 7 |
heterogeneous effects | 7 |
empirical evidence | 7 |
base scenario | 7 |
trace elements | 7 |
lung inflammation | 7 |
distance metric | 7 |
may show | 7 |
ashrae handbook | 7 |
stage ionization | 7 |
saliva droplets | 7 |
stokes equations | 7 |
liquid supply | 7 |
loss rate | 7 |
cryptococcus neoformans | 7 |
quality guidelines | 7 |
herd immunity | 7 |
lower zone | 7 |
important issue | 7 |
indoor particle | 7 |
input data | 7 |
influenza patients | 7 |
pulse oximetry | 7 |
phage particles | 7 |
conditioning ventilation | 7 |
change rates | 7 |
microbial contaminants | 7 |
inner wall | 7 |
much greater | 7 |
dioxide concentrations | 7 |
highly contaminated | 7 |
gulf war | 7 |
gelatin filters | 7 |
whisper swivel | 7 |
us epa | 7 |
international civil | 7 |
bioaerosol health | 7 |
two studies | 7 |
increased ventilation | 7 |
acid extraction | 7 |
air ions | 7 |
zone center | 7 |
eustachian tube | 7 |
quality data | 7 |
particulate pollutants | 7 |
target trial | 7 |
indoor microbiome | 7 |
human transmission | 7 |
time detection | 7 |
relative importance | 7 |
respiratory infectious | 7 |
mean air | 7 |
liquid droplets | 7 |
taxonomic assignment | 7 |
heating capacity | 7 |
community structure | 7 |
absolute humidity | 7 |
will focus | 7 |
inpatient hospitalizations | 7 |
long periods | 7 |
coated filter | 7 |
airway diseases | 7 |
large scale | 7 |
motor vehicles | 7 |
school children | 7 |
longer time | 7 |
air problems | 7 |
ultraviolet radiation | 7 |
pollution sources | 7 |
sensible heat | 7 |
species diversity | 7 |
relatively large | 7 |
opportunistic pathogens | 7 |
large public | 7 |
abiotic particles | 7 |
cold storage | 7 |
young children | 7 |
using two | 7 |
flow resistance | 7 |
differentiate direct | 7 |
air particles | 7 |
consulting wards | 7 |
solid fraction | 7 |
gas chromatography | 7 |
slit sampler | 7 |
quality monitoring | 7 |
well mixed | 7 |
traffic conditions | 7 |
ebola outbreak | 7 |
antiviral drugs | 7 |
dilution air | 7 |
symptom scores | 7 |
hospital operating | 7 |
ii electrostatic | 7 |
annual mean | 7 |
colony concentration | 7 |
contact transmission | 7 |
innate immunity | 7 |
measured pollution | 7 |
inner tube | 7 |
rain water | 7 |
response relationships | 7 |
toxicological effects | 7 |
aerosolized bacteria | 7 |
adjacent areas | 7 |
building air | 7 |
results indicate | 7 |
data provided | 7 |
poor indoor | 7 |
two major | 7 |
influenza admissions | 7 |
voltage static | 7 |
air parameters | 7 |
stable liquid | 7 |
range airborne | 7 |
nasal resistance | 7 |
knowledge gaps | 7 |
skin test | 7 |
airborne transmitted | 7 |
static samplers | 7 |
gravitational settling | 7 |
ventilated space | 7 |
air duct | 7 |
long range | 7 |
fluorescent lamp | 7 |
two groups | 7 |
pollutants like | 7 |
initial velocity | 7 |
solid fuel | 7 |
average air | 7 |
transport intensity | 7 |
electricity demand | 7 |
long enough | 7 |
physical activity | 7 |
ros generation | 7 |
mortality risk | 7 |
pressure ventilation | 7 |
new studies | 7 |
nanotube filter | 7 |
sampling medium | 7 |
animal facilities | 7 |
particles cm | 7 |
median value | 7 |
tissue culture | 7 |
personalized ventilation | 7 |
harvard university | 7 |
liquid drainage | 7 |
syndrome virus | 7 |
daily mean | 7 |
oxygen reservoir | 7 |
global influenza | 7 |
sampling method | 7 |
home address | 7 |
mainly used | 7 |
negative bacteria | 7 |
enthalpy exchanger | 7 |
di water | 7 |
common hepa | 7 |
fungal aerosols | 7 |
particles deposited | 7 |
will result | 7 |
continuous air | 6 |
using air | 6 |
ventilator mask | 6 |
controlled trial | 6 |
culturable bioaerosol | 6 |
particle loss | 6 |
fungal communities | 6 |
airflow velocity | 6 |
acute viral | 6 |
total energy | 6 |
potential risk | 6 |
increased levels | 6 |
associated health | 6 |
volcanic gases | 6 |
available data | 6 |
surveillance data | 6 |
air tightness | 6 |
schematic diagram | 6 |
amoy gardens | 6 |
shower heads | 6 |
potentially infectious | 6 |
precautionary principle | 6 |
better ventilation | 6 |
indoor emissions | 6 |
save energy | 6 |
surface disinfection | 6 |
airborne biological | 6 |
spread across | 6 |
strongly influenced | 6 |
air balance | 6 |
hospital building | 6 |
built forms | 6 |
detailed design | 6 |
including pm | 6 |
international health | 6 |
one kind | 6 |
causal relationship | 6 |
crucial role | 6 |
high altitudes | 6 |
standard dust | 6 |
combined effect | 6 |
mainly depends | 6 |
ten times | 6 |
office work | 6 |
nosocomial outbreak | 6 |
tuberculin skin | 6 |
surface cooler | 6 |
site measurements | 6 |
much smaller | 6 |
experimental set | 6 |
controlled exposure | 6 |
gas simulation | 6 |
supply openings | 6 |
independent air | 6 |
common colds | 6 |
atmospheric temperature | 6 |
jet plume | 6 |
aboard aircraft | 6 |
time scales | 6 |
short time | 6 |
cabin pressurization | 6 |
meteorological normalisation | 6 |
turbulence intensity | 6 |
microbial content | 6 |
weather controls | 6 |
also reduce | 6 |
wetted wall | 6 |
settle plate | 6 |
different countries | 6 |
disease progression | 6 |
pathogenic bacteria | 6 |
infectious isolation | 6 |
community composition | 6 |
exhaust system | 6 |
stratospheric ozone | 6 |
architectural design | 6 |
ischemic heart | 6 |
housing units | 6 |
calculated results | 6 |
experimental group | 6 |
air must | 6 |
field measurement | 6 |
human occupancy | 6 |
pollution perception | 6 |
travel intensity | 6 |
sampling efficiency | 6 |
influenza pandemic | 6 |
airflow rates | 6 |
eddy current | 6 |
alveolar region | 6 |
cleaner air | 6 |
poisson pseudo | 6 |
antiviral efficiency | 6 |
airborne contagion | 6 |
aerosols containing | 6 |
sars patients | 6 |
arterial blood | 6 |
interior surface | 6 |
taxa identified | 6 |
filtration efficiencies | 6 |
various indoor | 6 |
refrigeration system | 6 |
exhaust vents | 6 |
linear relationship | 6 |
liquid membranes | 6 |
rrna genes | 6 |
taxonomic profile | 6 |
sampling points | 6 |
statistical life | 6 |
genetic data | 6 |
questionnaire survey | 6 |
radiant panel | 6 |
nuclear power | 6 |
severe respiratory | 6 |
air molecules | 6 |
severe covid | 6 |
low molecular | 6 |
bacterial pathogens | 6 |
source control | 6 |
european commission | 6 |
protective layers | 6 |
design parameters | 6 |
virtual impactors | 6 |
economic recovery | 6 |
two important | 6 |
following conclusions | 6 |
year fixed | 6 |
may represent | 6 |
supply velocity | 6 |
study also | 6 |
mechanical ventilator | 6 |
flower farms | 6 |
pollution reduction | 6 |
also measured | 6 |
heavy traffic | 6 |
laser desorption | 6 |
problems associated | 6 |
paper filter | 6 |
humid air | 6 |
indoor surfaces | 6 |
will make | 6 |
northern china | 6 |
horizontal plane | 6 |
based analysis | 6 |
anthracis spores | 6 |
greatest temperature | 6 |
induction air | 6 |
indoor aerosol | 6 |
airflow around | 6 |
moisture permeation | 6 |
numerical analysis | 6 |
kinetic energy | 6 |
experimental conditions | 6 |
heme oxygenase | 6 |
deaths due | 6 |
also cause | 6 |
neurodegenerative diseases | 6 |
weighted unifrac | 6 |
turbulence model | 6 |
comfort level | 6 |
also one | 6 |
data sets | 6 |
like illness | 6 |
thermal conditions | 6 |
moisture load | 6 |
medical procedures | 6 |
potential impact | 6 |
strong association | 6 |
endsealing glue | 6 |
transmission via | 6 |
different wind | 6 |
give rise | 6 |
department visits | 6 |
international airport | 6 |
water damage | 6 |
respiratory droplet | 6 |
recommended value | 6 |
vary considerably | 6 |
secondary airborne | 6 |
energy demand | 6 |
generation sequencing | 6 |
spherical particle | 6 |
external window | 6 |
cold air | 6 |
may reduce | 6 |
current pandemic | 6 |
examples include | 6 |
sustainable development | 6 |
currently available | 6 |
distance zones | 6 |
duct length | 6 |
secondary flow | 6 |
work exposures | 6 |
air carriers | 6 |
large surface | 6 |
jet aircraft | 6 |
dust storms | 6 |
lower chamber | 6 |
placed inside | 6 |
studies show | 6 |
differential equations | 6 |
regression analysis | 6 |
working area | 6 |
pt pore | 6 |
direct association | 6 |
gut microbiota | 6 |
climate classification | 6 |
air outlets | 6 |
drainage liquid | 6 |
bioaerosol monitoring | 6 |
pressure within | 6 |
air monitoring | 6 |
water activity | 6 |
intensive land | 6 |
infectious virus | 6 |
diseases transmitted | 6 |
healthcare settings | 6 |
successfully used | 6 |
liquid collection | 6 |
tuberculosis patients | 6 |
human behavior | 6 |
computational time | 6 |
flow direction | 6 |
study conducted | 6 |
deposition onto | 6 |
united kingdom | 6 |
potential source | 6 |
deaths annually | 6 |
viable microorganisms | 6 |
contact rate | 6 |
mean level | 6 |
air services | 6 |
respirable pathogens | 6 |
velocity increases | 6 |
illumina sequencing | 6 |
lapse rate | 6 |
decay rate | 6 |
well known | 6 |
transmission aboard | 6 |
dna fragments | 6 |
another example | 6 |
averted due | 6 |
particle clearance | 6 |
air throughout | 6 |
document titled | 6 |
transfer efficiency | 6 |
located within | 6 |
droplet borne | 6 |
aerosol concentration | 6 |
cfd simulations | 6 |
largest nosocomial | 6 |
petri dishes | 6 |
frequently used | 6 |
ventive active | 6 |
hygienic specification | 6 |
diseases associated | 6 |
low emission | 6 |
many airlines | 6 |
income countries | 6 |
graphene oxide | 6 |
second floor | 6 |
particle mass | 6 |
independent variables | 6 |
european countries | 6 |
pathogens indoors | 6 |
analysis system | 6 |
increased incidence | 6 |
elpi tm | 6 |
disease outbreak | 6 |
purification efficiency | 6 |
return diffuser | 6 |
indoor climate | 6 |
air volumes | 6 |
extremely high | 6 |
particle tracing | 6 |
gattii species | 6 |
air dispersion | 6 |
toward understanding | 6 |
many patients | 6 |
regional office | 6 |
effective control | 6 |
new delhi | 6 |
tunnel heat | 6 |
collection medium | 6 |
respiratory problems | 6 |
health issues | 6 |
heart rate | 6 |
high induction | 6 |
considered constant | 6 |
cleanliness level | 6 |
european union | 6 |
pandemic flu | 6 |
related symptoms | 6 |
particle generation | 6 |
numerical study | 6 |
surgical facemasks | 6 |
fibrous filters | 6 |
maximum difference | 6 |
respiratory conditions | 6 |
haemophilus influenza | 6 |
disease burden | 6 |
studies conducted | 6 |
horizontal adjacent | 6 |
using standard | 6 |
diameter range | 6 |
total area | 6 |
university students | 6 |
gastrointestinal tract | 6 |
microbial agents | 6 |
vacuum cleaner | 6 |
pathogen spread | 6 |
accountability studies | 6 |
difference profile | 6 |
haul flights | 6 |
world bank | 6 |
flow near | 6 |
also associated | 6 |
room volume | 6 |
using high | 6 |
industrial environments | 6 |
large openings | 6 |
controlling infection | 6 |
environment may | 6 |
southeast asia | 6 |
source heat | 6 |
cascade impactor | 6 |
healthy people | 6 |
improving closed | 6 |
syndrome symptoms | 6 |
mean count | 6 |
among office | 6 |
effective dose | 6 |
adjacent units | 6 |
peak expiratory | 6 |
contaminated water | 6 |
average diameter | 6 |
test results | 6 |
particle velocity | 6 |
ultraviolet irradiation | 6 |
two large | 6 |
north america | 6 |
flight attendant | 6 |
mortality rate | 6 |
passengers seated | 6 |
industrial facilities | 6 |
volcanic eruption | 6 |
cm item | 6 |
study population | 6 |
cerebrovascular disease | 6 |
cfd analysis | 6 |
inversely proportional | 6 |
diabetes mellitus | 6 |
two particles | 6 |
thermal environment | 6 |
mass transport | 6 |
found value | 6 |
may get | 6 |
environ res | 6 |
many aspects | 6 |
pressurized water | 6 |
long duration | 6 |
electron microscopy | 6 |
chemical pollutants | 6 |
outtake flow | 6 |
indoor pollution | 6 |
lower floors | 6 |
person may | 6 |
pollutants flowed | 6 |
deep vein | 6 |
inhaled particles | 6 |
source term | 6 |
aircraft flights | 6 |
densely populated | 6 |
fitting effect | 6 |
inpatient ward | 6 |
following sections | 6 |
pediatric patients | 6 |
studies showed | 6 |
significant effects | 6 |
million covid | 6 |
italian localities | 6 |
assessed using | 6 |
transit stations | 6 |
related illnesses | 6 |
point source | 6 |
correction factor | 6 |
bronchial epithelial | 6 |
positive effect | 6 |
secondhand smoking | 6 |
flight medical | 6 |
py script | 6 |
also provide | 6 |
cell membrane | 6 |
untreated patients | 6 |
building design | 6 |
lower section | 6 |
floriculture supply | 6 |
improving air | 6 |
dispersion distance | 6 |
mean temperature | 6 |
respiratory mortality | 6 |
rate ratio | 6 |
lower airways | 6 |
building envelope | 6 |
particles emitted | 6 |
mean concentrations | 6 |
walled carbon | 6 |
publicly available | 6 |
energy conservation | 6 |
diameter smaller | 6 |
low concentration | 6 |
gas mixture | 6 |
significant impact | 6 |
function tests | 6 |
outlet temperature | 6 |
flow patterns | 6 |
ventilation measures | 6 |
fine particle | 6 |
lighthouse particle | 6 |
aviation organization | 6 |
atmospheric air | 6 |
upper airway | 6 |
also need | 6 |
first two | 6 |
pollution increases | 6 |
cyclone sampler | 6 |
per week | 6 |
gypsum board | 6 |
specific heat | 6 |
absolute value | 6 |
bus environment | 6 |
distribution method | 6 |
fungal colonization | 6 |
epithelial cell | 6 |
air cleaners | 6 |
airborne pathogen | 6 |
increased prevalence | 6 |
human skin | 6 |
air space | 6 |
pulmonary embolism | 6 |
induced asthma | 6 |
low risk | 6 |
venous thrombosis | 6 |
door tightness | 6 |
significantly larger | 6 |
dimensional model | 6 |
secondary vehicles | 6 |
pcr amplification | 6 |
response relationship | 6 |
cause mortality | 6 |
size droplets | 6 |
online version | 6 |
face shields | 6 |
international legislation | 6 |
operating theatre | 6 |
predictor variables | 6 |
isolation measures | 6 |
economic factors | 6 |
air transmission | 6 |
vein thrombosis | 6 |
study revealed | 6 |
surface sampling | 6 |
montreal protocol | 6 |
hospitalized patients | 6 |
architectural studies | 6 |
systematic analysis | 6 |
pollution emissions | 6 |
viral dynamics | 6 |
time bioaerosol | 6 |
airborne microorganism | 6 |
high throughput | 6 |
microorganisms present | 6 |
different levels | 6 |
altitude simulation | 6 |
pollution level | 6 |
flow along | 6 |
time step | 6 |
lung injury | 6 |
energy sources | 6 |
cruise ship | 6 |
phylogenetic diversity | 6 |
peak time | 6 |
aerosol particle | 6 |
creative commons | 6 |
basement floor | 6 |
exchanges per | 6 |
sampling techniques | 6 |
increasing supply | 6 |
mixed condition | 6 |
three scenarios | 6 |
ventilation method | 6 |
influenza aboard | 6 |
vehicular traffic | 6 |
laden air | 6 |
trend assumption | 6 |
positive patient | 6 |
fungal spore | 6 |
will change | 6 |
forces acting | 6 |
research studies | 6 |
ats ers | 6 |
studies using | 6 |
last decade | 6 |
dispersion induced | 6 |
us department | 6 |
adaptive immunity | 6 |
vice versa | 6 |
medical emergencies | 6 |
illness among | 6 |
enrichment ratio | 6 |
much attention | 6 |
exhale air | 6 |
potentially important | 6 |
airway epithelial | 6 |
key role | 6 |
electric strength | 6 |
mathematical modeling | 6 |
nadph oxidase | 6 |
environmental impacts | 6 |
asthma air | 6 |
air diffusers | 5 |
readily available | 5 |
flight pao | 5 |
outflow valves | 5 |
thermal plumes | 5 |
large area | 5 |
release rate | 5 |
prediction model | 5 |
solar energy | 5 |
thermal performances | 5 |
extensively studied | 5 |
smaller droplets | 5 |
air speed | 5 |
paid attention | 5 |
study office | 5 |
bronchoscopy rooms | 5 |
capture efficiency | 5 |
air mixing | 5 |
constant temperature | 5 |
probability distributions | 5 |
northern hemisphere | 5 |
iaq issues | 5 |
studies indicate | 5 |
inanimate surfaces | 5 |
using different | 5 |
federal aviation | 5 |
immediate vicinity | 5 |
inoculation chamber | 5 |
factors involved | 5 |
medical facilities | 5 |
pollution events | 5 |
reduced lung | 5 |
particle resuspension | 5 |
cleaning products | 5 |
humid climates | 5 |
ventilation effectiveness | 5 |
samples collected | 5 |
longer term | 5 |
proposed model | 5 |
bacterial flora | 5 |
valve mask | 5 |
archimedes number | 5 |
first filter | 5 |
coriolis air | 5 |
great potential | 5 |
various resistances | 5 |
uni en | 5 |
gas phase | 5 |
also increase | 5 |
used ventilation | 5 |
outwardly opening | 5 |
strategic planning | 5 |
actual measurement | 5 |
also contribute | 5 |
patient will | 5 |
control volume | 5 |
high filtration | 5 |
commercial facilities | 5 |
related macular | 5 |
particle bounce | 5 |
flight crews | 5 |
upper section | 5 |
ward doors | 5 |
current state | 5 |
mouth nose | 5 |
building envelopes | 5 |
different methods | 5 |
intestinal microbiota | 5 |
particular reference | 5 |
aerosol generation | 5 |
may require | 5 |
health issue | 5 |
occupational diseases | 5 |
vertical plane | 5 |
dust mites | 5 |
colony forming | 5 |
stranded dna | 5 |
air particulate | 5 |
also present | 5 |
patient information | 5 |
actual separation | 5 |
negative differential | 5 |
air mass | 5 |
two people | 5 |
nuclear microporous | 5 |
health study | 5 |
aspect ratio | 5 |
thermal environments | 5 |
extremely low | 5 |
heart failure | 5 |