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 |
---|---|
public health | 1137 |
pandemic influenza | 1095 |
influenza pandemic | 699 |
infl uenza | 657 |
influenza virus | 650 |
mental health | 633 |
social distancing | 493 |
united states | 452 |
health care | 409 |
influenza viruses | 395 |
seasonal influenza | 335 |
infectious diseases | 287 |
avian influenza | 283 |
world health | 266 |
hong kong | 252 |
coronavirus disease | 252 |
health organization | 224 |
pandemic preparedness | 206 |
doc id | 205 |
cord uid | 205 |
acute respiratory | 202 |
pandemic response | 201 |
infectious disease | 196 |
respiratory syndrome | 187 |
climate change | 179 |
cruise ship | 173 |
novel coronavirus | 171 |
social media | 170 |
supply chain | 153 |
severe acute | 151 |
risk factors | 147 |
influenza vaccine | 142 |
general public | 133 |
risk communication | 132 |
systematic review | 128 |
virus infection | 127 |
pandemic virus | 127 |
healthcare workers | 127 |
confirmed cases | 127 |
global health | 124 |
pandemic will | 122 |
may also | 120 |
health systems | 119 |
coronavirus pandemic | 119 |
disease control | 118 |
supply chains | 117 |
school closure | 116 |
global pandemic | 114 |
pandemic planning | 113 |
swine flu | 113 |
health system | 109 |
data collection | 109 |
pandemic period | 109 |
new york | 108 |
fatality rate | 107 |
ship employees | 106 |
influenza infection | 106 |
exercise frequency | 105 |
current pandemic | 101 |
clinical trials | 101 |
case fatality | 100 |
contact tracing | 100 |
respiratory tract | 100 |
health crisis | 100 |
human influenza | 99 |
protective equipment | 99 |
swine influenza | 97 |
mortality rates | 97 |
young adults | 95 |
psychological distress | 94 |
hospitality industry | 93 |
many countries | 91 |
first wave | 91 |
health emergency | 90 |
personal protective | 87 |
family members | 87 |
general population | 86 |
missing data | 86 |
social isolation | 85 |
antiviral drugs | 85 |
pandemic severity | 84 |
highly pathogenic | 84 |
high risk | 84 |
life satisfaction | 84 |
attack rate | 83 |
intensive care | 82 |
pandemic infl | 82 |
influenza pandemics | 82 |
health services | 81 |
pandemic vaccine | 81 |
will need | 81 |
care workers | 81 |
years old | 80 |
statistically significant | 80 |
perceived control | 79 |
economic impact | 79 |
immune response | 78 |
emerging infectious | 77 |
infection control | 77 |
pandemic may | 76 |
health security | 75 |
influenza vaccines | 75 |
health outcomes | 75 |
million people | 74 |
second wave | 73 |
age groups | 73 |
uenza virus | 72 |
hotel industry | 71 |
income countries | 71 |
influenza vaccination | 71 |
rights reserved | 71 |
next pandemic | 71 |
mortality rate | 71 |
lessons learned | 70 |
medical care | 70 |
even though | 69 |
antiviral treatment | 69 |
developing countries | 69 |
spanish flu | 68 |
like illness | 67 |
may lead | 67 |
mitigation strategies | 67 |
united kingdom | 67 |
will also | 66 |
psychological distance | 66 |
general health | 66 |
decision making | 66 |
physical activity | 65 |
higher risk | 65 |
disgust proneness | 64 |
south korea | 64 |
case study | 64 |
mdck cells | 64 |
healthcare providers | 63 |
severe disease | 63 |
perceived severity | 63 |
amino acid | 63 |
pregnant women | 63 |
infected cells | 62 |
healthcare systems | 62 |
per cent | 62 |
physical distancing | 62 |
life course | 62 |
increased risk | 62 |
will likely | 62 |
emotional distress | 61 |
future research | 61 |
air pollution | 60 |
pathogenic avian | 60 |
herd immunity | 60 |
control measures | 59 |
perceived stress | 59 |
high levels | 59 |
mitigation measures | 58 |
risk perception | 58 |
pandemic risk | 58 |
loved ones | 58 |
air quality | 58 |
disease outbreaks | 57 |
emergency response | 57 |
cruise line | 57 |
psychological impact | 57 |
social support | 57 |
time series | 57 |
depressive symptoms | 56 |
stress disorder | 56 |
posttraumatic stress | 56 |
disease severity | 56 |
pandemic mortality | 55 |
neuraminidase inhibitors | 55 |
health authorities | 55 |
cancer patients | 55 |
crisis management | 55 |
influenza outbreaks | 55 |
early stages | 55 |
virus replication | 54 |
reproduction number | 54 |
young people | 54 |
will help | 54 |
per week | 53 |
ill patients | 53 |
pandemic plans | 53 |
influenza preparedness | 53 |
significantly higher | 53 |
older adults | 52 |
travel restrictions | 52 |
per day | 52 |
surveillance system | 52 |
seasonal infl | 52 |
total number | 51 |
critically ill | 51 |
attack rates | 51 |
domestic violence | 51 |
daily life | 51 |
pandemic situation | 50 |
black death | 50 |
future pandemic | 50 |
cultural trauma | 50 |
influenza surveillance | 50 |
healthcare system | 50 |
age group | 50 |
world war | 50 |
previous pandemics | 50 |
present study | 50 |
patient care | 49 |
syndrome coronavirus | 49 |
health measures | 49 |
cell culture | 49 |
labor market | 49 |
primary care | 49 |
viruses isolated | 49 |
th century | 49 |
ebola virus | 49 |
middle east | 49 |
health problems | 48 |
novel influenza | 48 |
regional pandemic | 48 |
policy makers | 48 |
less likely | 47 |
real time | 47 |
data analysis | 47 |
human transmission | 47 |
death rates | 47 |
north america | 47 |
risk management | 47 |
health professionals | 47 |
disaster management | 46 |
immune system | 46 |
large number | 46 |
distancing measures | 46 |
health workers | 46 |
psychological effects | 46 |
flu pandemic | 46 |
national authorities | 46 |
private practice | 45 |
perceived general | 45 |
mood states | 45 |
factors associated | 45 |
long term | 45 |
vaccine production | 45 |
care system | 45 |
medical staff | 44 |
safety behaviors | 44 |
future pandemics | 44 |
will continue | 44 |
pandemic potential | 44 |
health status | 44 |
secondary bacterial | 44 |
many people | 44 |
viral shedding | 43 |
home orders | 43 |
medical students | 43 |
natural disasters | 43 |
wide range | 43 |
ae log | 43 |
lower respiratory | 43 |
national health | 43 |
excess mortality | 43 |
disease spread | 42 |
gene segments | 42 |
disease outbreak | 42 |
care providers | 42 |
new zealand | 42 |
face mask | 41 |
european countries | 41 |
health interventions | 41 |
population density | 41 |
economic activity | 41 |
public policy | 41 |
response strategies | 41 |
economic growth | 41 |
health service | 41 |
crew members | 41 |
home confinement | 41 |
hospitalized patients | 41 |
million deaths | 41 |
bacterial pneumonia | 40 |
will increase | 40 |
fossil fuel | 40 |
high mortality | 40 |
community transmission | 40 |
current situation | 40 |
different countries | 40 |
may need | 40 |
vaccine strain | 40 |
school closures | 40 |
health crises | 40 |
national institute | 40 |
care facilities | 39 |
sustainable development | 39 |
health consequences | 39 |
current crisis | 39 |
sars outbreak | 39 |
severe influenza | 39 |
social science | 39 |
body weight | 39 |
origin influenza | 39 |
one hand | 39 |
informed consent | 39 |
productivity losses | 39 |
sustainable energy | 39 |
chronic pain | 39 |
young children | 38 |
communicable diseases | 38 |
built environment | 38 |
clinical management | 38 |
respiratory viruses | 38 |
service delivery | 38 |
statistical analysis | 38 |
pandemic strain | 38 |
international health | 38 |
see table | 38 |
immune responses | 38 |
pharmaceutical interventions | 38 |
breast cancer | 38 |
healthcare facilities | 38 |
epithelial cells | 38 |
health risks | 38 |
economic crisis | 38 |
severe illness | 38 |
people will | 37 |
economic impacts | 37 |
pandemic flu | 37 |
line companies | 37 |
past pandemics | 37 |
response efforts | 37 |
health officials | 37 |
european union | 37 |
lockdown measures | 37 |
weight loss | 37 |
protective behaviors | 37 |
sample size | 37 |
hand hygiene | 37 |
clinical research | 37 |
severe pneumonia | 37 |
antigenic drift | 37 |
united nations | 37 |
face masks | 37 |
first time | 37 |
antibody response | 37 |
uenza viruses | 36 |
influenza epidemic | 36 |
st century | 36 |
viral load | 36 |
health response | 36 |
influenza season | 36 |
risk groups | 36 |
infected individuals | 36 |
artificial intelligence | 36 |
respondents reported | 36 |
authors declare | 36 |
critical care | 36 |
literature review | 36 |
human rights | 36 |
pandemic outbreaks | 36 |
current covid | 36 |
made available | 35 |
health emergencies | 35 |
severely ill | 35 |
clinical practice | 35 |
human beings | 35 |
different kinds | 35 |
big data | 35 |
great depression | 35 |
significant differences | 35 |
infected patients | 35 |
response measures | 35 |
viral pneumonia | 35 |
care unit | 35 |
first months | 35 |
covid pandemic | 35 |
health conditions | 35 |
higher education | 35 |
previous studies | 35 |
disease surveillance | 34 |
health organisation | 34 |
table shows | 34 |
clinical trial | 34 |
east respiratory | 34 |
may provide | 34 |
fi rst | 34 |
pandemic outbreak | 34 |
cancer care | 34 |
cohort study | 34 |
important role | 34 |
high level | 34 |
new normal | 34 |
uenza pandemic | 34 |
policy responses | 34 |
peer review | 34 |
incubation period | 34 |
ethical issues | 33 |
traumatic stress | 33 |
coronavirus anxiety | 33 |
performed using | 33 |
one another | 33 |
death rate | 33 |
virus strains | 33 |
respiratory illness | 33 |
coronavirus outbreak | 33 |
logistic regression | 33 |
upper respiratory | 33 |
fast set | 33 |
care systems | 33 |
host response | 33 |
risk assessment | 33 |
peak prevalence | 33 |
influenza transmission | 33 |
developed countries | 33 |
previously described | 33 |
within hours | 33 |
virus infections | 33 |
model parameters | 33 |
music therapy | 33 |
influenza mortality | 33 |
will require | 33 |
new virus | 32 |
simulation model | 32 |
results suggest | 32 |
economic consequences | 32 |
avian flu | 32 |
greenhouse gas | 32 |
gross domestic | 32 |
health issues | 32 |
domestic product | 32 |
clinical attack | 32 |
health regulations | 32 |
infection rates | 32 |
pandemic wave | 32 |
next influenza | 32 |
hand washing | 31 |
global warming | 31 |
pdm virus | 31 |
vulnerable groups | 31 |
transmission rate | 31 |
international travel | 31 |
socioeconomic status | 31 |
term effects | 31 |
behaviour change | 31 |
yellow fever | 31 |
financial crisis | 31 |
related pneumonia | 31 |
early phase | 31 |
first pandemic | 31 |
radiology practices | 31 |
confirmed covid | 31 |
clinical severity | 31 |
antiviral drug | 31 |
exercise behavior | 31 |
influenza strains | 31 |
current study | 31 |
emergency department | 30 |
disease transmission | 30 |
human capital | 30 |
particularly important | 30 |
pandemic disgust | 30 |
energy transitions | 30 |
live attenuated | 30 |
human population | 30 |
long time | 30 |
health effects | 30 |
online shopping | 30 |
global public | 30 |
basic reproduction | 30 |
least one | 30 |
east asia | 30 |
influenza epidemics | 30 |
york city | 30 |
time pcr | 30 |
national pandemic | 30 |
skull base | 30 |
competing interests | 30 |
social networks | 30 |
research priorities | 30 |
financial support | 30 |
direct contact | 30 |
medical supplies | 30 |
low levels | 30 |
long run | 30 |
global mortality | 30 |
respiratory disease | 30 |
measures taken | 30 |
task force | 29 |
antibody titers | 29 |
containment measures | 29 |
virus isolation | 29 |
greater risk | 29 |
severe cases | 29 |
among health | 29 |
results indicate | 29 |
risk factor | 29 |
epidemic size | 29 |
sectional study | 29 |
rural areas | 29 |
world bank | 29 |
mortality associated | 29 |
phylogenetic analysis | 29 |
medical conditions | 29 |
fossil fuels | 29 |
will take | 29 |
twentieth century | 29 |
adjuvanted vaccine | 29 |
syndromic surveillance | 29 |
historical data | 29 |
healthcare services | 29 |
cleavage site | 29 |
asian countries | 29 |
spanish influenza | 29 |
chicken eggs | 29 |
us government | 29 |
public transport | 29 |
clinical features | 29 |
will become | 29 |
two weeks | 29 |
viral infection | 29 |
economic recovery | 29 |
ha gene | 29 |
vulnerable populations | 29 |
results show | 28 |
medical education | 28 |
higher levels | 28 |
pandemic plan | 28 |
help us | 28 |
parameter values | 28 |
private sector | 28 |
see also | 28 |
large scale | 28 |
renewable energy | 28 |
may occur | 28 |
better understand | 28 |
much higher | 28 |
travel behavior | 28 |
per year | 28 |
children aged | 28 |
media coverage | 28 |
substance use | 28 |
death toll | 28 |
disease burden | 28 |
bacterial infection | 28 |
negative impact | 28 |
viral rna | 28 |
recent years | 28 |
rapid review | 28 |
universal influenza | 28 |
reproductive number | 28 |
health policy | 27 |
human infection | 27 |
na genes | 27 |
fatality rates | 27 |
epidemiological data | 27 |
time rt | 27 |
partial lockdown | 27 |
term consequences | 27 |
best practices | 27 |
adjustment disorder | 27 |
mortality risk | 27 |
research time | 27 |
hospital admission | 27 |
respiratory distress | 27 |
vaccine development | 27 |
household transmission | 27 |
different types | 27 |
median age | 27 |
contingency planning | 27 |
ebola outbreak | 27 |
take place | 27 |
deaths due | 27 |
family member | 27 |
pandemic date | 27 |
global spread | 27 |
physical health | 27 |
fatal cases | 27 |
respiratory failure | 27 |
sore throat | 27 |
findings suggest | 27 |
pandemic covid | 27 |
southern china | 27 |
older people | 26 |
treatment effect | 26 |
management strategies | 26 |
data collected | 26 |
antiviral agents | 26 |
local health | 26 |
coping strategies | 26 |
likert scale | 26 |
takes place | 26 |
virus transmission | 26 |
will affect | 26 |
economic development | 26 |
disaster risk | 26 |
ae lg | 26 |
social life | 26 |
protection motivation | 26 |
health personnel | 26 |
gas emissions | 26 |
bacterial infections | 26 |
response rate | 26 |
significant increase | 26 |
online survey | 26 |
saudi arabia | 26 |
will provide | 26 |
global scale | 26 |
operating room | 26 |
mental well | 26 |
study found | 26 |
member states | 26 |
scientific community | 26 |
close contact | 26 |
time period | 26 |
consumption willingness | 26 |
job loss | 26 |
emerging infections | 26 |
global economy | 26 |
preventive measures | 26 |
per person | 26 |
also important | 26 |
emergency preparedness | 26 |
acquired pneumonia | 26 |
severe pandemic | 26 |
psychological science | 26 |
widely used | 26 |
american college | 25 |
drug resistance | 25 |
may result | 25 |
human mobility | 25 |
spanish infl | 25 |
controlled trial | 25 |
healthcare professionals | 25 |
surveillance systems | 25 |
preparedness plans | 25 |
antibody responses | 25 |
deaths worldwide | 25 |
oseltamivir resistance | 25 |
many individuals | 25 |
lifelong learning | 25 |
urgent need | 25 |
neuraminidase inhibitor | 25 |
pandemic scenario | 25 |
prepandemic exercise | 25 |
social responsibility | 25 |
total cost | 25 |
sensitivity analysis | 25 |
diabetes mellitus | 25 |
affected regions | 25 |
influenza infections | 25 |
contracting covid | 25 |
pandemic alert | 25 |
outcomes among | 25 |
one day | 25 |
supplementary table | 25 |
virus ns | 25 |
study participants | 25 |
patients may | 25 |
early detection | 25 |
virus disease | 25 |
pandemic phase | 25 |
times higher | 25 |
pandemic consumption | 25 |
generalized anxiety | 25 |
negative effects | 25 |
pandemic preparation | 25 |
working group | 24 |
another study | 24 |
related deaths | 24 |
health sector | 24 |
mass media | 24 |
study period | 24 |
prime minister | 24 |
health risk | 24 |
civil society | 24 |
primary viral | 24 |
social contact | 24 |
pandemic era | 24 |
short term | 24 |
anxiety disorder | 24 |
heart disease | 24 |
shed light | 24 |
people may | 24 |
every day | 24 |
novel swine | 24 |
vaccine candidates | 24 |
action plan | 24 |
among others | 24 |
countries like | 24 |
new coronavirus | 24 |
large numbers | 24 |
adverse effects | 24 |
total score | 24 |
rapid spread | 24 |
resistant viruses | 24 |
reverse genetics | 24 |
respiratory symptoms | 24 |
mdck pf | 24 |
clinical samples | 24 |
essential services | 24 |
laboratory testing | 24 |
applied biosystems | 24 |
york times | 24 |
tested positive | 24 |
west africa | 24 |
human services | 24 |
data sources | 23 |
preparedness planning | 23 |
influenza outbreak | 23 |
human health | 23 |
closely related | 23 |
new pandemic | 23 |
economic effects | 23 |
symptomatic cases | 23 |
health impact | 23 |
social distance | 23 |
rna viruses | 23 |
motivation theory | 23 |
new south | 23 |
personality disorder | 23 |
respiratory infections | 23 |
research questions | 23 |
virus infected | 23 |
included papers | 23 |
based models | 23 |
lao pdr | 23 |
strongly agree | 23 |
clinical signs | 23 |
receptor binding | 23 |
global supply | 23 |
southeast asia | 23 |
focus groups | 23 |
simulation models | 23 |
human populations | 23 |
virus strain | 23 |
national level | 23 |
uenza surveillance | 23 |
health protection | 23 |
global population | 23 |
information sharing | 23 |
relatively low | 23 |
economic losses | 23 |
also found | 23 |
antiviral therapy | 23 |
hospitalization rates | 23 |
embryonated chicken | 23 |
decision makers | 23 |
open access | 23 |
cell index | 23 |
significant difference | 23 |
standard deviation | 23 |
urban areas | 23 |
recent study | 23 |
passive immunotherapy | 23 |
will occur | 23 |
fake news | 23 |
deaths per | 23 |
additional file | 23 |
new influenza | 23 |
first case | 23 |
modeling approaches | 23 |
severe outcomes | 23 |
cell death | 23 |
preparedness plan | 23 |
lung injury | 23 |
health education | 23 |
symptom onset | 23 |
strongly disagree | 22 |
excess demand | 22 |
highly contagious | 22 |
health research | 22 |
study also | 22 |
ae ae | 22 |
might also | 22 |
nasal washes | 22 |
human macrophages | 22 |
statistical analyses | 22 |
global influenza | 22 |
cytopathic effect | 22 |
virus isolates | 22 |
allows us | 22 |
commonly used | 22 |
conspiracy theories | 22 |
internal genes | 22 |
influenza pneumonia | 22 |
basic reproductive | 22 |
disease pandemic | 22 |
south wales | 22 |
distancing interventions | 22 |
risk perceptions | 22 |
pandemic might | 22 |
care professionals | 22 |
pulmonary disease | 22 |
timely manner | 22 |
taken together | 22 |
higher rates | 22 |
human seasonal | 22 |
among children | 22 |
national institutes | 22 |
control strategies | 22 |
resource allocation | 22 |
mass vaccination | 22 |
respiratory syncytial | 22 |
gynecologic oncology | 22 |
cell lines | 22 |
aged years | 22 |
communication strategies | 22 |
early intervention | 21 |
world population | 21 |
environmental factors | 21 |
human cases | 21 |
general equilibrium | 21 |
collected data | 21 |
health departments | 21 |
virus titers | 21 |
novel actors | 21 |
social change | 21 |
medical research | 21 |
may help | 21 |
institutional review | 21 |
copyright holder | 21 |
per million | 21 |
mechanical ventilation | 21 |
survey data | 21 |
viral infections | 21 |
cruise tourism | 21 |
economic history | 21 |
patient safety | 21 |
mathematical models | 21 |
chain management | 21 |
response plan | 21 |
four days | 21 |
host cell | 21 |
high yield | 21 |
distress among | 21 |
media platforms | 21 |
qualitative research | 21 |
creative commons | 21 |
health surveillance | 21 |
people living | 21 |
available data | 21 |
clinical characteristics | 21 |
health information | 21 |
took place | 21 |
icu beds | 21 |
case studies | 21 |
available online | 21 |
myocardial infarction | 21 |
novel virus | 21 |
worth noting | 21 |
intervention strategies | 21 |
psychological scientists | 21 |
elective surgeries | 21 |
early days | 21 |
early warning | 21 |
natural history | 21 |
pandemic management | 21 |
moderating effect | 21 |
antiviral resistance | 21 |
population health | 21 |
varying degrees | 21 |
will depend | 21 |
effective response | 21 |
surge capacity | 21 |
will lead | 21 |
elective surgery | 21 |
pandemic situations | 21 |
rapidly evolving | 21 |
across countries | 21 |
versus ae | 20 |
losses due | 20 |
environmental impacts | 20 |
log tcid | 20 |
ebola response | 20 |
north american | 20 |
chronic obstructive | 20 |
confi rmed | 20 |
machine learning | 20 |
spread rapidly | 20 |
descriptive statistics | 20 |
low level | 20 |
among people | 20 |
suspected cases | 20 |
regarding covid | 20 |
severe covid | 20 |
depression among | 20 |
acute lung | 20 |
new technologies | 20 |
mental illness | 20 |
ae ml | 20 |
psychological responses | 20 |
granted medrxiv | 20 |
medical services | 20 |
limited resources | 20 |
chronic diseases | 20 |
health infrastructure | 20 |
starting point | 20 |
many cases | 20 |
family therapy | 20 |
per capita | 20 |
publicly available | 20 |
health insurance | 20 |
ad hoc | 20 |
april th | 20 |
set infa | 20 |
transmission dynamics | 20 |
stimulus packages | 20 |
ongoing pandemic | 20 |
distress syndrome | 20 |
isolation rate | 20 |
severity assessment | 20 |
may well | 20 |
years ago | 20 |
social sciences | 20 |
one health | 20 |
innate immune | 20 |
sequence analysis | 20 |
breast imaging | 20 |
business continuity | 20 |
new cases | 20 |
like viruses | 20 |
family functioning | 20 |
author funder | 20 |
school students | 20 |
among healthcare | 20 |
air travel | 20 |
mdck cell | 20 |
research agenda | 20 |
rates among | 20 |
may cause | 20 |
significantly reduced | 20 |
infected cases | 20 |
attenuated influenza | 20 |
early stage | 20 |
food supply | 20 |
psychological outcomes | 20 |
health agencies | 20 |
news media | 20 |
pandemic viruses | 20 |
issues related | 20 |
mild symptoms | 19 |
pi models | 19 |
economic costs | 19 |
syncytial virus | 19 |
longer term | 19 |
southern hemisphere | 19 |
cfr ma | 19 |
growth rate | 19 |
limited number | 19 |
viral strains | 19 |
infectious period | 19 |
infected mice | 19 |
digital media | 19 |
individuals may | 19 |
hemorrhagic fever | 19 |
ic values | 19 |
political economy | 19 |
fatality ratio | 19 |
pdm viruses | 19 |
nasal swabs | 19 |
johns hopkins | 19 |
must also | 19 |
identifi ed | 19 |
cardiac surgery | 19 |
pain management | 19 |
human resource | 19 |
two doses | 19 |
sars epidemic | 19 |
acute stress | 19 |
chicken embryos | 19 |
health threat | 19 |
severely affected | 19 |
natural selection | 19 |
critical illness | 19 |
ethical principles | 19 |
uenza cases | 19 |
environmental policies | 19 |
prophylactic absenteeism | 19 |
side effects | 19 |
emerging diseases | 19 |
among patients | 19 |
influenza seasons | 19 |
pediatric pandemic | 19 |
much lower | 19 |
intimate partner | 19 |
public awareness | 19 |
human infections | 19 |
care ethics | 19 |
global community | 19 |
chain reaction | 19 |
information regarding | 19 |
health doi | 19 |
will allow | 19 |
may contribute | 19 |
reactive antibody | 19 |
pandemic strains | 19 |
nan doi | 19 |
antigenic cartography | 19 |
give rise | 19 |
australian government | 19 |
stress levels | 19 |
may increase | 19 |
significantly lower | 19 |
protective measures | 19 |
local governments | 19 |
related productivity | 19 |
na gene | 19 |
perceived risk | 19 |
contingency plans | 19 |
electronic medical | 19 |
influenza strain | 19 |
serum samples | 19 |
vaccination program | 19 |
internalizing symptoms | 19 |
deep learning | 19 |
development goals | 19 |
classical swine | 19 |
resistant virus | 19 |
virus may | 19 |
days post | 19 |
determine whether | 19 |
entire population | 19 |
infected persons | 19 |
community health | 19 |
health equity | 19 |
total costs | 19 |
ns protein | 19 |
focus group | 19 |
pandemic crisis | 19 |
every year | 18 |
pandemic continues | 18 |
severity index | 18 |
last years | 18 |
operating capacity | 18 |
care units | 18 |
community mitigation | 18 |
better prepared | 18 |
increasing number | 18 |
study conducted | 18 |
education system | 18 |
days per | 18 |
significantly associated | 18 |
economic activities | 18 |
human life | 18 |
swine origin | 18 |
sleep disturbances | 18 |
metapopulation models | 18 |
east asian | 18 |
service provision | 18 |
seven days | 18 |
one hundred | 18 |
polymerase chain | 18 |
transition point | 18 |
oseltamivir treatment | 18 |
water consumption | 18 |
work hours | 18 |
sentinel ducks | 18 |
infection prevention | 18 |
study design | 18 |
epidemic influenza | 18 |
reported cases | 18 |
pf cells | 18 |
tm assay | 18 |
among young | 18 |
several studies | 18 |
within days | 18 |
outpatient clinics | 18 |
one month | 18 |
inactivated influenza | 18 |
evidence suggests | 18 |
randomized controlled | 18 |
future studies | 18 |
anxiety symptoms | 18 |
viruses circulating | 18 |
ethics committee | 18 |
obstructive pulmonary | 18 |
population size | 18 |
also made | 18 |
training programs | 18 |
severity pandemics | 18 |
stress symptoms | 18 |
staphylococcus aureus | 18 |
tourism industry | 18 |
viral loads | 18 |
health agency | 18 |
working hours | 18 |
chronic conditions | 18 |
referral centers | 18 |
energy transition | 18 |
similar pandemic | 18 |
among adults | 18 |
hurricane katrina | 18 |
health disaster | 18 |
infected people | 18 |
ae versus | 18 |
per month | 18 |
respiratory infection | 18 |
influenza plan | 18 |
virus vaccine | 18 |
internal consistency | 18 |
global response | 18 |
cardiovascular disease | 18 |
health impacts | 18 |
may affect | 18 |
wearing masks | 18 |
corona virus | 18 |
assessed using | 18 |
data needs | 18 |
also likely | 18 |
several countries | 18 |
black americans | 18 |
first century | 18 |
special issue | 18 |
confidence intervals | 18 |
fluor tm | 18 |
law enforcement | 18 |
co emissions | 18 |
war i | 18 |
low severity | 18 |
six months | 18 |
life tedium | 18 |
digital divide | 18 |
term care | 18 |
may become | 18 |
participants reported | 18 |
urban system | 18 |
oxygen saturation | 18 |
health experts | 18 |
total population | 18 |
ae ng | 17 |
first cases | 17 |
cell cultures | 17 |
protective immunity | 17 |
food insecurity | 17 |
program directors | 17 |
chinese government | 17 |
parameter estimates | 17 |
remains neutral | 17 |
study treatment | 17 |
population level | 17 |
african countries | 17 |
better understanding | 17 |
infectious agents | 17 |
jurisdictional claims | 17 |
published maps | 17 |
climate crisis | 17 |
readily available | 17 |
hospital beds | 17 |
tertiary care | 17 |
na mutation | 17 |
effective vaccine | 17 |
diagnostic tests | 17 |
tourism crisis | 17 |
pandemic occurs | 17 |
local transmission | 17 |
kerala model | 17 |
two days | 17 |
clinical course | 17 |
lung disease | 17 |
new data | 17 |
may require | 17 |
health policies | 17 |
develop new | 17 |
medical personnel | 17 |
point likert | 17 |
sail order | 17 |
real world | 17 |
respiratory diseases | 17 |
laiv candidates | 17 |
transmission model | 17 |
health facilities | 17 |
decision support | 17 |
nasopharyngeal swab | 17 |
epidemic curve | 17 |
substance abuse | 17 |
acid changes | 17 |
viet nam | 17 |
vaccine strains | 17 |
modelling study | 17 |
clinical symptoms | 17 |
drug administration | 17 |
one year | 17 |
related ices | 17 |
springer nature | 17 |
survey results | 17 |
antiviral prophylaxis | 17 |
public communications | 17 |
emerging influenza | 17 |
information technology | 17 |
uenza infection | 17 |
economic downturn | 17 |
public places | 17 |
rapid response | 17 |
healthy adults | 17 |
i will | 17 |
time frame | 17 |
south america | 17 |
social determinants | 17 |
european commission | 17 |
disease modeling | 17 |
patients hospitalized | 17 |
hiv aids | 17 |
infectious virus | 17 |
short time | 17 |
recent studies | 17 |
various aspects | 17 |
gene expression | 17 |
excess deaths | 17 |
health challenges | 17 |
sensitivity analyses | 17 |
nonpharmaceutical interventions | 17 |
pandemic lockdown | 17 |
institutional affiliations | 17 |
well known | 17 |
health disparities | 17 |
green recovery | 17 |
will result | 17 |
general practitioners | 17 |
statistical significance | 17 |
anxiety among | 17 |
migratory ducks | 17 |
rapid antigen | 17 |
behavioral changes | 17 |
sustainable consumption | 17 |
response efficacy | 17 |
resistant influenza | 17 |
higher scores | 17 |
inclusion criteria | 17 |
national security | 17 |
small businesses | 17 |
bibliometric analysis | 17 |
near future | 17 |
living conditions | 17 |
will never | 17 |
study aims | 17 |
eu uk | 17 |
social interaction | 17 |
one study | 17 |
personality disorders | 17 |
federal government | 17 |
pb gene | 17 |
ffp respirators | 17 |
version posted | 17 |
small number | 17 |
resilience factors | 17 |
production capacity | 17 |
inactivated vaccine | 17 |
virus spread | 17 |
medical records | 17 |
will make | 17 |
pandemic spread | 17 |
basic needs | 17 |
research institute | 17 |
mainstream media | 17 |
nature remains | 17 |
two months | 17 |
healthcare personnel | 17 |
amino acids | 17 |
pandemic caused | 16 |
two main | 16 |
advisory committee | 16 |
least two | 16 |
gene segment | 16 |
national governments | 16 |
negative psychological | 16 |
among individuals | 16 |
across different | 16 |
social norms | 16 |
monoclonal antibodies | 16 |
less severe | 16 |
emergency management | 16 |
day post | 16 |
uk government | 16 |
rate among | 16 |
following infection | 16 |
limited activities | 16 |
critical role | 16 |
low risk | 16 |
research findings | 16 |
much less | 16 |
ili cases | 16 |
quarantine measures | 16 |
may experience | 16 |
antigenic shift | 16 |
demographic characteristics | 16 |
potential pandemic | 16 |
ha cleavage | 16 |
zika virus | 16 |
test results | 16 |
different ways | 16 |
psychological well | 16 |
mainland china | 16 |
potential impact | 16 |
chronic illness | 16 |
i i | 16 |
employees stuck | 16 |
latin america | 16 |
antibiotic treatment | 16 |
influenza vii | 16 |
one week | 16 |
will reduce | 16 |
many ways | 16 |
energy policy | 16 |
patients infected | 16 |
cases per | 16 |
significant impact | 16 |
surveillance data | 16 |
conceptual framework | 16 |
pain intensity | 16 |
economic disruptions | 16 |
highly effective | 16 |
specific igy | 16 |
mental disorders | 16 |
viral replication | 16 |
three times | 16 |
green deal | 16 |
human contact | 16 |
several factors | 16 |
exponential growth | 16 |
online learning | 16 |
health behaviours | 16 |
clean energy | 16 |
alcohol use | 16 |
different regions | 16 |
health threats | 16 |
disease caused | 16 |
service providers | 16 |
underlying health | 16 |
indirect effects | 16 |
using data | 16 |
behavioral responses | 16 |
supplementary material | 16 |
affected countries | 16 |
spread across | 16 |
will remain | 16 |
highest risk | 16 |
paris agreement | 16 |
nucleic acid | 16 |
environmental efforts | 16 |
disease prevention | 16 |
canadian medical | 16 |
elective cases | 16 |
data will | 16 |
measures will | 16 |
high severity | 16 |
government response | 16 |
media outlets | 16 |
short period | 16 |
young adult | 16 |
life events | 15 |
secondary cases | 15 |
geometric mean | 15 |
standard errors | 15 |
partner violence | 15 |
pandemic information | 15 |
low self | 15 |
tertiary referral | 15 |
second vaccination | 15 |
case series | 15 |
past decade | 15 |
saharan africa | 15 |
health anxiety | 15 |
chain disruptions | 15 |
genetic reassortment | 15 |
health disasters | 15 |
relatively small | 15 |
series data | 15 |
patients without | 15 |
early phases | 15 |
circulating influenza | 15 |
especially important | 15 |
pandemic due | 15 |
care delivery | 15 |
political ideology | 15 |
prior immunity | 15 |
policy measures | 15 |
personal hygiene | 15 |
discount rate | 15 |
vaccination campaign | 15 |
suicidal ideation | 15 |
effective communication | 15 |
world economy | 15 |
health questionnaire | 15 |
will change | 15 |
pandemic emergency | 15 |
seasonal epidemics | 15 |
positive samples | 15 |
significant reduction | 15 |
blood pressure | 15 |
initial stage | 15 |
full lockdown | 15 |
questions regarding | 15 |
infection rate | 15 |
pandemic vaccination | 15 |
recovery packages | 15 |
associated factors | 15 |
peak period | 15 |
uenza pandemics | 15 |
public healthcare | 15 |
stockpiled ventilators | 15 |
several years | 15 |
review board | 15 |
oxygen therapy | 15 |
also provide | 15 |
pandemic threats | 15 |
coronavirus crisis | 15 |
regression model | 15 |
elderly patients | 15 |
related factors | 15 |
contact reduction | 15 |
child health | 15 |
ha protein | 15 |
different influenza | 15 |
available resources | 15 |
surgical care | 15 |
pandemic world | 15 |
crucial role | 15 |
alert level | 15 |
sandwich elisa | 15 |
digital technologies | 15 |
energy consumption | 15 |
college students | 15 |
risk reduction | 15 |
land use | 15 |
see supplementary | 15 |
viral culture | 15 |
risks associated | 15 |
foreseeable future | 15 |
natural hazards | 15 |
us department | 15 |
management system | 15 |
case counts | 15 |
antigenic changes | 15 |
containing pandemic | 15 |
precautionary measures | 15 |
antigenic sites | 15 |
local government | 15 |
scientific evidence | 15 |
results showed | 15 |
vast majority | 15 |
surgical training | 15 |
signifi cantly | 15 |
among older | 15 |
front line | 15 |
healthcare delivery | 15 |
inflammatory response | 15 |
existing immunity | 15 |
risk group | 15 |
time point | 15 |
west african | 15 |
hygiene measures | 15 |
two groups | 15 |
pandemic threat | 15 |
hours post | 15 |
economic evaluation | 15 |
year old | 15 |
aged children | 15 |
mortality among | 15 |
science research | 15 |
past years | 15 |
surgical procedures | 15 |
also used | 15 |
factors including | 15 |
household members | 15 |
related stress | 15 |
hotel firms | 15 |
social interactions | 15 |
mice infected | 15 |
alcohol consumption | 15 |
also increased | 15 |
personal protection | 15 |
close proximity | 15 |
mortality patterns | 15 |
nasopharyngeal swabs | 15 |
samples collected | 15 |
pandemic time | 15 |
everyday life | 15 |
government agencies | 15 |
concerns regarding | 14 |
respiratory rate | 14 |
selection bias | 14 |
primary influenza | 14 |
pandemic vaccines | 14 |
pandemic event | 14 |
well plates | 14 |
human host | 14 |
humanitarian response | 14 |
clinical care | 14 |
chronic lung | 14 |
alveolar epithelial | 14 |
receptor specificity | 14 |
patients presenting | 14 |
major cities | 14 |
associated hospitalizations | 14 |
influenza risk | 14 |
south africa | 14 |
video conferencing | 14 |
severe complications | 14 |
hospital discharge | 14 |
patients admitted | 14 |
will probably | 14 |
placebo group | 14 |
may serve | 14 |
becomes available | 14 |
emerging pandemic | 14 |
infect dis | 14 |
cruise ships | 14 |
information systems | 14 |
lockdown period | 14 |
occupational medicine | 14 |
private practices | 14 |
regional level | 14 |
international trade | 14 |
better prepare | 14 |
among residents | 14 |
international spread | 14 |
insurance industry | 14 |
digital transformation | 14 |
new information | 14 |
clinical specimens | 14 |
affected individuals | 14 |
international community | 14 |
social research | 14 |
mental model | 14 |
latent period | 14 |
ns gene | 14 |
pandemic declaration | 14 |
demographic data | 14 |
also showed | 14 |
close contacts | 14 |
study showed | 14 |
real options | 14 |
whole world | 14 |
accommodation platforms | 14 |
reverse transcription | 14 |
sleep quality | 14 |
infected person | 14 |
water resources | 14 |
clinical studies | 14 |
animal models | 14 |
data show | 14 |
significantly different | 14 |
resource exporters | 14 |
systematic reviews | 14 |
lung tissue | 14 |
agent based | 14 |
health management | 14 |
streptococcus pneumoniae | 14 |
different groups | 14 |
high degree | 14 |
may feel | 14 |
confidence interval | 14 |
contingencies management | 14 |
pandemic affected | 14 |
room temperature | 14 |
adult hope | 14 |
negative effect | 14 |
countries worldwide | 14 |
respondents also | 14 |
term impacts | 14 |
data analytics | 14 |
energy efficiency | 14 |
protective behaviours | 14 |
just like | 14 |
relevant information | 14 |
ethical approval | 14 |
pediatric orthopaedic | 14 |
transmission rates | 14 |
media reports | 14 |
energy social | 14 |
type diabetes | 14 |
yersinia pestis | 14 |
third wave | 14 |
ongoing research | 14 |
may vary | 14 |
government department | 14 |
human resources | 14 |
term impact | 14 |
throat swabs | 14 |
crisis communication | 14 |
safety nets | 14 |
swine viruses | 14 |
first confirmed | 14 |
cytokine storm | 14 |
fair allocation | 14 |
private radiology | 14 |
xtd tm | 14 |
homeland security | 14 |
evidence base | 14 |
energy systems | 14 |
seasonal flu | 14 |
hope scale | 14 |
communication framework | 14 |
accommodation sector | 14 |
preparedness activities | 14 |
financial losses | 14 |
daily routine | 14 |
many different | 14 |
wild birds | 14 |
hemagglutination inhibition | 14 |
coping appraisal | 14 |
age distribution | 14 |
resource management | 14 |
eating habits | 14 |
significantly increased | 14 |
new ways | 14 |
ex vivo | 14 |
entry screening | 14 |
tell us | 14 |
time spent | 14 |
allowed us | 14 |
clinical data | 14 |
wild type | 14 |
individual level | 14 |
loved one | 14 |
phylogenetic analyses | 14 |
canine kidney | 14 |
low pathogenic | 14 |
one needs | 14 |
international organizations | 14 |
will see | 14 |
next section | 14 |
attitudes toward | 14 |
local level | 14 |
additional ventilators | 14 |
personality traits | 14 |
urban form | 14 |
allantoic fluid | 14 |
total environment | 14 |
course perspective | 14 |
secondary infections | 14 |
neutralizing antibodies | 13 |
adverse events | 13 |
pandemic distress | 13 |
may include | 13 |
phylogenetic trees | 13 |
fort dix | 13 |
older individuals | 13 |
see appendix | 13 |
also asked | 13 |
coronavirus safety | 13 |
uenza season | 13 |
sensing receptors | 13 |
patients will | 13 |
environmental sustainability | 13 |
human lung | 13 |
primary healthcare | 13 |
local communities | 13 |
two different | 13 |
also provided | 13 |
pandemic phases | 13 |
vaccine supply | 13 |
reflective learning | 13 |
patient management | 13 |
new insights | 13 |
children may | 13 |
pandemic disease | 13 |
public transportation | 13 |
social practices | 13 |
results obtained | 13 |
analysis revealed | 13 |
adults aged | 13 |
conducted using | 13 |
data may | 13 |
binding site | 13 |
one case | 13 |
spread throughout | 13 |
positive results | 13 |
high rate | 13 |
position statement | 13 |
government officials | 13 |
various countries | 13 |
densely populated | 13 |
people worldwide | 13 |
based interventions | 13 |
action plans | 13 |
previously reported | 13 |
based approach | 13 |
scarce resources | 13 |
infection status | 13 |
northern italy | 13 |
many years | 13 |
local public | 13 |
public opinion | 13 |
northern hemisphere | 13 |
communication technologies | 13 |
hubei province | 13 |
future outbreaks | 13 |
crisis will | 13 |
pandemic control | 13 |
examine whether | 13 |
working paper | 13 |
patient health | 13 |
treated mice | 13 |
severe pandemics | 13 |
susceptible population | 13 |
blood samples | 13 |
public engagement | 13 |
three waves | 13 |
local levels | 13 |
negative consequences | 13 |
longitudinal study | 13 |
may still | 13 |
asymptomatic cases | 13 |
medical attention | 13 |
nearly half | 13 |
almost half | 13 |
guidance document | 13 |
computable general | 13 |
risk attitudes | 13 |
kong influenza | 13 |
operative volume | 13 |
sierra leone | 13 |
financial resources | 13 |
hpai virus | 13 |
information system | 13 |
may th | 13 |
rapid assessment | 13 |
international collaboration | 13 |
public realm | 13 |
influenza neuraminidase | 13 |
pandemic emotional | 13 |
business owners | 13 |
mouse model | 13 |
elderly people | 13 |
research council | 13 |
darby canine | 13 |
viral titers | 13 |
previous study | 13 |
pandemic began | 13 |
mortality impact | 13 |
six countries | 13 |
million cases | 13 |
regulatory agencies | 13 |
genetic characteristics | 13 |
government work | 13 |
virus outbreak | 13 |
rgy sub | 13 |
month period | 13 |
moving forward | 13 |
cancer treatment | 13 |
different age | 13 |
cost effectiveness | 13 |
recent pandemic | 13 |
household incidence | 13 |
social service | 13 |
i feel | 13 |
physical contact | 13 |
confirmed case | 13 |
high prevalence | 13 |
influenza activity | 13 |
guinea pigs | 13 |
imported cases | 13 |
odds ratios | 13 |
binding specificity | 13 |
epidemiological characteristics | 13 |
across multiple | 13 |
monte carlo | 13 |
significance level | 13 |
plaque assay | 13 |
immunology societies | 13 |
life cycle | 13 |
diamond princess | 13 |
local epidemic | 13 |
lower income | 13 |
communicable disease | 13 |
air traffic | 13 |
unique opportunity | 13 |
regression analysis | 13 |
health approach | 13 |
new jersey | 13 |
whenever possible | 13 |
bird flu | 13 |
healthcare resources | 13 |
vaccine candidate | 13 |
reduce transmission | 13 |
public gatherings | 13 |
us population | 13 |
public information | 13 |
patients treated | 13 |
risk populations | 13 |
health individualism | 13 |
reported higher | 13 |
vaccine groups | 13 |
high school | 13 |
significant association | 13 |
management plan | 13 |
drinking water | 13 |
energy companies | 13 |
hospital capacity | 13 |
rapidly changing | 13 |
randomly selected | 13 |
post covid | 13 |
research design | 13 |
will enable | 13 |
behavioral aspects | 13 |
screen time | 13 |
health burden | 13 |
case scenario | 13 |
epidemiological parameters | 13 |
pandemic compared | 13 |
mathematical modeling | 13 |
african ebola | 13 |
medical association | 13 |
study aimed | 13 |
influenza control | 13 |
airborne transmission | 13 |
working conditions | 13 |
first reported | 13 |
vice versa | 13 |
small proportion | 13 |
prior pandemics | 13 |
significant decrease | 13 |
neurosurgical practice | 13 |
based model | 13 |
global impact | 13 |
also included | 13 |
single dose | 13 |
international cooperation | 13 |
make decisions | 13 |
hospital cardiac | 13 |
global economic | 13 |
outpatient services | 13 |
endothelial cells | 13 |
two years | 13 |
health concerns | 13 |
provide care | 13 |
will covid | 13 |
immunized mice | 13 |
na inhibitors | 13 |
capacity building | 13 |
see section | 13 |
multiple imputation | 13 |
coming months | 13 |
research will | 13 |
community contact | 13 |
reported deaths | 13 |
health communication | 13 |
also reported | 13 |
accurate information | 13 |
swab specimens | 13 |
best practice | 13 |
grocery shopping | 13 |
pandemic prevention | 13 |
perceived low | 12 |
reverse transcriptase | 12 |
school aged | 12 |
highly infectious | 12 |
important factor | 12 |
interpandemic influenza | 12 |
innate sensing | 12 |
table provides | 12 |
ae lm | 12 |
ion channel | 12 |
final manuscript | 12 |
research projects | 12 |
staff members | 12 |
bbc news | 12 |
virus hemagglutinin | 12 |
main text | 12 |
will still | 12 |
will vary | 12 |
viral transmission | 12 |
impulsive buying | 12 |
content analysis | 12 |
many others | 12 |
oseltamivir carboxylate | 12 |
identifi cation | 12 |
incidence rate | 12 |
music therapists | 12 |
chronic stress | 12 |
hospitalised patients | 12 |
risk preferences | 12 |
clinical outcomes | 12 |
pandemic economic | 12 |
human respiratory | 12 |
community level | 12 |
hospital resources | 12 |
higher mortality | 12 |
wt virus | 12 |
medical resources | 12 |
virus detection | 12 |
peripheral blood | 12 |
hi antibody | 12 |
among neurosurgeons | 12 |
paramount importance | 12 |
many aspects | 12 |
interventions will | 12 |
qualitative study | 12 |
uenza epidemics | 12 |
ae years | 12 |
inactivated vaccines | 12 |
resplex ii | 12 |
signaling pathways | 12 |
every country | 12 |
seasonal strains | 12 |
global surveillance | 12 |
primary human | 12 |
great recession | 12 |
general practitioner | 12 |
care services | 12 |
will undoubtedly | 12 |
communication inequalities | 12 |
job losses | 12 |
data available | 12 |
social costs | 12 |
natural gas | 12 |
pandemic levels | 12 |
remote working | 12 |
forgotten pandemic | 12 |
point scale | 12 |
study protocol | 12 |
acute critical | 12 |
nasal discharge | 12 |
human behavior | 12 |
collect data | 12 |
also provides | 12 |
anxiety depression | 12 |
vaccine administration | 12 |
pandemic led | 12 |
effective intervention | 12 |
collective memory | 12 |
psychological support | 12 |
reassortant viruses | 12 |
classical reassortment | 12 |
matched vaccine | 12 |
term renting | 12 |
food security | 12 |
current stress | 12 |
online teaching | 12 |
death risk | 12 |
pandemic anxiety | 12 |
care resources | 12 |
take care | 12 |
commons licence | 12 |
ship employee | 12 |
influenza antigenic | 12 |
also help | 12 |
also significantly | 12 |
normal life | 12 |
epidemic risk | 12 |
full genome | 12 |
fold higher | 12 |
related symptoms | 12 |
scientific research | 12 |
provide evidence | 12 |
will experience | 12 |
educational attainment | 12 |
note springer | 12 |
previous research | 12 |
public policies | 12 |
existing medical | 12 |
distancing requirements | 12 |
knowledge regarding | 12 |
first quarter | 12 |
lockdown scenario | 12 |
empirical evidence | 12 |
one person | 12 |
surgical mask | 12 |
potential impacts | 12 |
working population | 12 |
baseline scenario | 12 |
several months | 12 |
risk patients | 12 |
oral health | 12 |
research topics | 12 |
index case | 12 |
key role | 12 |
learning process | 12 |
rgvac ins | 12 |
emergency medical | 12 |
disease parameters | 12 |
randomised controlled | 12 |
hopkins university | 12 |
large proportion | 12 |
stress management | 12 |
case rate | 12 |
surgical masks | 12 |
great deal | 12 |
monoclonal antibody | 12 |
will come | 12 |
weather conditions | 12 |
normal circumstances | 12 |
five countries | 12 |
research approaches | 12 |
neuraminidase assay | 12 |
situation report | 12 |
economic loss | 12 |
also need | 12 |
research ethics | 12 |
emerging viruses | 12 |
epidemic curves | 12 |
human airway | 12 |
pandemic periods | 12 |
cumulative incidence | 12 |
local food | 12 |
control group | 12 |
social relationships | 12 |
five years | 12 |
emergency room | 12 |
currently available | 12 |
national influenza | 12 |
older children | 12 |
related mortality | 12 |
significant increases | 12 |
china hospitality | 12 |
chinese people | 12 |
economic implications | 12 |
online questionnaire | 12 |
antiviral efficacy | 12 |
different stages | 12 |
results indicated | 12 |
life expectancy | 12 |
maricopa county | 12 |
one million | 12 |
four times | 12 |
dental care | 12 |
pay attention | 12 |
effect size | 12 |
new disease | 12 |
nasal swab | 12 |
much larger | 12 |
pandemic among | 12 |
global level | 12 |
future influenza | 12 |
reactive protein | 12 |
erk activation | 12 |
might affect | 12 |
natural resources | 12 |
migrant workers | 12 |
prior protection | 12 |
severe respiratory | 12 |
crisis preparedness | 12 |
medical workers | 12 |
growth rates | 12 |
initial stages | 12 |
nervous system | 12 |
much greater | 12 |
pandemic also | 12 |
climate changes | 12 |
base case | 12 |
score sheet | 12 |
initial case | 12 |
american association | 12 |
elective procedures | 12 |
child care | 12 |
population groups | 12 |
hospitality association | 12 |
one way | 12 |
medical community | 12 |
daily basis | 12 |
electricity demand | 12 |
global governance | 12 |
severity categories | 12 |
changes will | 12 |
first step | 12 |
also identified | 12 |
energy sector | 12 |
preliminary results | 12 |
data support | 12 |
negative correlation | 12 |
healthy controls | 12 |
pandemic mitigation | 12 |
family life | 12 |
lung cancer | 12 |
virus isolated | 12 |
vulnerable people | 12 |
run effects | 12 |
cyber security | 12 |
clinical settings | 12 |
like symptoms | 12 |
allow us | 12 |
pandemic impact | 12 |
pandemic responses | 12 |
symptoms among | 12 |
molecular biology | 12 |
also consider | 12 |
state hospitals | 12 |
rated health | 12 |
data sets | 12 |
signifi cant | 12 |
medium businesses | 12 |
seeking expressions | 12 |
medical centers | 12 |
disease dynamics | 12 |
health sciences | 12 |
different levels | 12 |
social capital | 12 |
hotel brands | 12 |
radiology department | 12 |
ebola epidemic | 12 |
several limitations | 12 |
panic buying | 12 |
multiple levels | 12 |
sendai framework | 12 |
may change | 12 |
different scenarios | 12 |
african americans | 12 |
high quality | 12 |
years later | 12 |
key questions | 12 |
internet access | 12 |
type i | 11 |
nationwide survey | 11 |
international concern | 11 |
pediatric patients | 11 |
poyang lake | 11 |
might increase | 11 |
perceived threat | 11 |
wicked problems | 11 |
energy demand | 11 |
vaccination strategies | 11 |
rgvac sub | 11 |
global covid | 11 |
many governments | 11 |
protection agency | 11 |
priority public | 11 |
uenza seasons | 11 |
human activity | 11 |
baseline health | 11 |
next generation | 11 |
policy recommendations | 11 |
public perceptions | 11 |
trauma drama | 11 |
neonatal outcomes | 11 |
psychological stress | 11 |
like virus | 11 |
second dose | 11 |
time periods | 11 |
since march | 11 |
pandemic strategies | 11 |
another pandemic | 11 |
data protection | 11 |
historical pandemics | 11 |
european energy | 11 |
tissue culture | 11 |
specific mortality | 11 |
trial data | 11 |
make sense | 11 |
billion people | 11 |
published data | 11 |
mechanical ventilators | 11 |
triple reassortant | 11 |
annual influenza | 11 |
lasting effects | 11 |
health behaviors | 11 |
highly sensitive | 11 |
relevant data | 11 |
limited data | 11 |
current state | 11 |
opportunity costs | 11 |
ii cells | 11 |
individuals infected | 11 |
epidemic outbreaks | 11 |
increased stress | 11 |
key factors | 11 |
online publication | 11 |
hypothetical strategy | 11 |
pandemic contingency | 11 |
like covid | 11 |
resource constraints | 11 |
slightly lower | 11 |
hospital stay | 11 |
emergency planning | 11 |
principal component | 11 |
antonine plague | 11 |
mathematical model | 11 |
european centre | 11 |
provide information | 11 |
related stressors | 11 |
potential solutions | 11 |
extreme measures | 11 |
factor analysis | 11 |
high perceived | 11 |
consumer behavior | 11 |
research community | 11 |
bubonic plague | 11 |
comprehensive plan | 11 |
industry will | 11 |
research conducted | 11 |
entire world | 11 |
influenza patients | 11 |
treatment strategy | 11 |
nursing home | 11 |
data suggest | 11 |
countries around | 11 |
first vaccination | 11 |
national academy | 11 |
higher probability | 11 |
influenza research | 11 |
line health | 11 |
care facility | 11 |
old embryonated | 11 |
data regarding | 11 |
guinea pig | 11 |
aerosol transmission | 11 |
patient access | 11 |
different aspects | 11 |
time points | 11 |
nasal congestion | 11 |
sialic acid | 11 |
infant mortality | 11 |
might expect | 11 |
pandemic effects | 11 |
cases will | 11 |
human disease | 11 |
circulating virus | 11 |
many patients | 11 |
indian subcontinent | 11 |
cell line | 11 |
food production | 11 |
international public | 11 |
greatest risk | 11 |
population will | 11 |
local community | 11 |
fi tness | 11 |
uncomplicated influenza | 11 |
second half | 11 |
transit stations | 11 |
disease emergence | 11 |
highest number | 11 |
epidemiological models | 11 |
widespread use | 11 |
selective cox | 11 |
type ii | 11 |
cardiac arrest | 11 |
pandemic waves | 11 |
chest radiography | 11 |
economic recession | 11 |
steering committee | 11 |
including social | 11 |
much smaller | 11 |
different ages | 11 |
also shows | 11 |
within months | 11 |
among medical | 11 |
therapy professionals | 11 |
time reverse | 11 |
hi titres | 11 |
three categories | 11 |
ah pdm | 11 |
mass gathering | 11 |
disproportionately affected | 11 |
reduce covid | 11 |
belief model | 11 |
one third | 11 |
vaccination programs | 11 |
survey conducted | 11 |
go back | 11 |
response indicators | 11 |
especially among | 11 |
younger adults | 11 |
pivotal role | 11 |
bacterial pathogens | 11 |
rapid detection | 11 |
covid crisis | 11 |
excess death | 11 |
increased demand | 11 |
annual temperature | 11 |
home order | 11 |
declares covid | 11 |
novel pandemic | 11 |
ethical standards | 11 |
square test | 11 |
virus pb | 11 |
national survey | 11 |
ns genes | 11 |
stress among | 11 |
environmental conditions | 11 |
similar pandemics | 11 |
body temperature | 11 |
google scholar | 11 |
lower mortality | 11 |
just transition | 11 |
antiviral stockpile | 11 |
paradigm shift | 11 |
health condition | 11 |
educational institutions | 11 |
emergency risk | 11 |
complicating influenza | 11 |
three types | 11 |
detection limit | 11 |
summer wave | 11 |
household contacts | 11 |
acute influenza | 11 |
model parameter | 11 |
position paper | 11 |
risk preference | 11 |
public perception | 11 |
pilot study | 11 |
expert panel | 11 |
policy objectives | 11 |
social activities | 11 |
health belief | 11 |
clinical study | 11 |
birth cohorts | 11 |
negatively affected | 11 |
high rates | 11 |
first place | 11 |
social class | 11 |
infectious dose | 11 |
immediate psychological | 11 |
health behaviour | 11 |
influenza mitigation | 11 |
june th | 11 |
antibiotic therapy | 11 |
virus gene | 11 |
global catastrophic | 11 |
donald trump | 11 |
type virus | 11 |
mitigation strategy | 11 |
twice daily | 11 |
potential effects | 11 |
will emerge | 11 |
future crises | 11 |
inhibition assay | 11 |
economic analysis | 11 |
among humans | 11 |
measures adopted | 11 |
least three | 11 |
ethical concerns | 11 |
cell surface | 11 |
countries may | 11 |
three groups | 11 |
pathogenic influenza | 11 |
rapid diagnosis | 11 |
medical professionals | 11 |
response strategy | 11 |
response system | 11 |
time workers | 11 |
must take | 11 |
personal risk | 11 |
planning efforts | 11 |
warning systems | 11 |
last decade | 11 |
large amount | 11 |
general hospital | 11 |
exercise one | 11 |
pandemic events | 11 |
online platforms | 11 |
energy use | 11 |
family therapists | 11 |
western africa | 11 |
advisory group | 11 |
component analysis | 11 |
tenure clock | 11 |
tract infections | 11 |
two major | 11 |
countries across | 11 |
first two | 11 |
sequence data | 11 |
infected individual | 11 |
long period | 11 |
key points | 11 |
immunotherapy program | 11 |
energy research | 11 |
stressful life | 11 |
policy changes | 11 |
research activities | 11 |
business models | 11 |
management framework | 11 |
state health | 11 |
surveillance network | 11 |
disease model | 11 |
national public | 11 |
high number | 11 |
revenue losses | 11 |
reproduction numbers | 11 |
environmental studies | 11 |
situational awareness | 11 |
high fever | 11 |
cdc experts | 11 |
described previously | 11 |
support systems | 11 |
several days | 11 |
circulating strains | 11 |
might change | 11 |
publication output | 11 |
uk alert | 11 |
none declared | 11 |
scientific knowledge | 11 |
influenza may | 11 |
suspected covid | 11 |
specific attack | 11 |
therapeutic strategies | 11 |
another important | 11 |
another example | 11 |
baby boomers | 11 |
significant challenges | 11 |
us centers | 11 |
new covid | 11 |
drug use | 11 |
related complications | 11 |
unemployment rate | 11 |
look like | 11 |
different subtypes | 11 |
school children | 11 |
elevation myocardial | 11 |
respondents declared | 10 |
recent pandemics | 10 |
disease outcomes | 10 |
pandemic anxieties | 10 |
investigate whether | 10 |
human history | 10 |
collective action | 10 |
mask wearing | 10 |
among chinese | 10 |
information sources | 10 |
different parts | 10 |
government also | 10 |
poor health | 10 |
climate action | 10 |
policy response | 10 |
multiple countries | 10 |
higher exercise | 10 |
help people | 10 |
also led | 10 |
operating rooms | 10 |
quantitative analysis | 10 |
uninfected cells | 10 |
viral na | 10 |
uk health | 10 |
social cohesion | 10 |
high case | 10 |
first covid | 10 |
collecting data | 10 |
important factors | 10 |
strains isolated | 10 |
humanitarian coordination | 10 |
virus yield | 10 |
global tourism | 10 |
average annual | 10 |
natural disaster | 10 |
neuropathic pain | 10 |
ml clotted | 10 |
increase due | 10 |
workforce reduction | 10 |
racial disparities | 10 |
antigenic sin | 10 |
private practitioners | 10 |
help reduce | 10 |
sector will | 10 |
prevention measures | 10 |
strategic planning | 10 |
previously healthy | 10 |
vaccine doses | 10 |
emerging pathogens | 10 |
ari onset | 10 |
significant decline | 10 |
preliminary data | 10 |
time interval | 10 |
create new | 10 |
daily routines | 10 |
critical review | 10 |
exceptional virulence | 10 |
global burden | 10 |
opposition parties | 10 |
assessment framework | 10 |
among us | 10 |
decisions regarding | 10 |
questions related | 10 |
currently circulating | 10 |
across many | 10 |
significant predictors | 10 |
response plans | 10 |
economic crises | 10 |
strongly agreed | 10 |
ci ae | 10 |
occupational health | 10 |
terrorist attacks | 10 |
past influenza | 10 |
viral strain | 10 |
graphpad prism | 10 |
clinical isolates | 10 |
virtual learning | 10 |
chronic respiratory | 10 |
effects may | 10 |
data access | 10 |
support services | 10 |
pandemic requires | 10 |
modern world | 10 |
risk population | 10 |
health problem | 10 |
online grocery | 10 |
sample collection | 10 |
urgently needed | 10 |
may therefore | 10 |
european society | 10 |
predictive modeling | 10 |
intranasal administration | 10 |
younger individuals | 10 |
global trade | 10 |
rapidly spreading | 10 |
nursing homes | 10 |
well established | 10 |
data suggests | 10 |
public trust | 10 |
inflammatory cytokines | 10 |
different forms | 10 |
confirmed patients | 10 |
less effective | 10 |
ipv victims | 10 |
normal distribution | 10 |
become available | 10 |
social security | 10 |