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 | 1018 |
pandemic influenza | 347 |
health care | 246 |
infectious disease | 217 |
respiratory syndrome | 186 |
hand hygiene | 164 |
infectious diseases | 162 |
health literacy | 162 |
influenza pandemic | 159 |
hiv aids | 154 |
influenza vaccination | 154 |
psychological distress | 137 |
health system | 133 |
sickness absence | 127 |
hong kong | 122 |
middle east | 121 |
world health | 117 |
seasonal influenza | 111 |
risk perception | 107 |
avian influenza | 107 |
health organization | 103 |
acute respiratory | 102 |
east respiratory | 101 |
behaviour change | 99 |
health systems | 95 |
mental health | 94 |
severe acute | 91 |
disease control | 91 |
health behaviors | 90 |
general public | 86 |
pandemic preparedness | 85 |
additional file | 83 |
one health | 82 |
systematic review | 81 |
sierra leone | 80 |
risk factors | 80 |
evd survivors | 79 |
data collection | 79 |
ev cases | 78 |
bmc public | 78 |
united states | 77 |
health doi | 73 |
doc id | 73 |
cord uid | 73 |
social distancing | 68 |
syndrome coronavirus | 66 |
healthcare workers | 66 |
confirmed cases | 65 |
competing interests | 62 |
south korea | 62 |
surveillance system | 62 |
social determinants | 62 |
health emergency | 61 |
emergency response | 60 |
sample size | 60 |
influenza surveillance | 59 |
vaccination coverage | 59 |
infection control | 59 |
general population | 58 |
disease outbreaks | 58 |
influenza vaccine | 57 |
health behavior | 57 |
statistically significant | 56 |
health policy | 55 |
emerging infectious | 54 |
charcoal burning | 54 |
sars outbreak | 54 |
data analysis | 54 |
health status | 54 |
pathogen genomics | 53 |
health professionals | 53 |
present study | 52 |
global health | 52 |
severe ev | 51 |
attack rate | 51 |
study design | 51 |
authors declare | 51 |
ebola virus | 51 |
youth welfare | 50 |
sectional study | 49 |
health outcomes | 49 |
secondary distribution | 48 |
control measures | 48 |
saudi arabia | 47 |
current study | 47 |
chronic disease | 45 |
school closure | 44 |
young children | 44 |
health workers | 43 |
virus disease | 43 |
hygiene practice | 42 |
protection motivation | 42 |
care workers | 42 |
risk communication | 42 |
primary care | 42 |
hand washing | 41 |
health security | 41 |
logistic regression | 41 |
iv coverage | 40 |
intimate partner | 40 |
aboriginal children | 40 |
project scientists | 40 |
partner violence | 40 |
final manuscript | 40 |
disease outbreak | 40 |
health emergencies | 40 |
productivity losses | 39 |
gdd rcs | 39 |
chronic diseases | 38 |
health approach | 38 |
people living | 38 |
age groups | 38 |
motivation theory | 37 |
wildlife officials | 37 |
health research | 37 |
social support | 37 |
age group | 36 |
years old | 36 |
sadc countries | 36 |
health authorities | 36 |
surveillance systems | 35 |
time series | 35 |
significantly higher | 35 |
influenza season | 35 |
close contacts | 35 |
novel coronavirus | 35 |
educational attainment | 35 |
incubation period | 35 |
ebola outbreak | 34 |
gdd program | 34 |
resilient health | 34 |
european union | 34 |
health facilities | 34 |
authors read | 34 |
health service | 34 |
influenza viruses | 34 |
health agencies | 33 |
factors associated | 33 |
swine flu | 33 |
national health | 33 |
change theories | 33 |
disease transmission | 32 |
preventive behaviours | 32 |
mortality rates | 32 |
one study | 32 |
prior knowledge | 32 |
mild ev | 32 |
informed consent | 32 |
physical aggression | 31 |
previous studies | 31 |
autonomous motivation | 30 |
bat contact | 30 |
related stigma | 30 |
disease surveillance | 30 |
facemask wearing | 30 |
regression analysis | 30 |
eu health | 30 |
mitigation strategies | 29 |
health personnel | 29 |
food safety | 29 |
reproduction number | 29 |
stay home | 29 |
hiv testing | 29 |
influenza virus | 29 |
emergency preparedness | 29 |
burning suicides | 29 |
less likely | 29 |
rural areas | 28 |
epidemic period | 28 |
drug use | 28 |
information system | 28 |
demographic characteristics | 28 |
care providers | 27 |
jurisdictional claims | 27 |
ethics committee | 27 |
sentinel surveillance | 27 |
west africa | 27 |
high risk | 27 |
health services | 27 |
remains neutral | 27 |
controlled trial | 27 |
surveillance data | 27 |
coronavirus disease | 27 |
published maps | 27 |
study showed | 27 |
institutional affiliations | 27 |
nature remains | 27 |
influenza activity | 27 |
disease prevention | 27 |
springer nature | 27 |
per cent | 26 |
towards covid | 26 |
aboriginal populations | 26 |
member states | 26 |
lao pdr | 26 |
preventive measures | 26 |
high psychological | 26 |
monetary incentives | 26 |
anticipated compliance | 26 |
care system | 26 |
future research | 26 |
malaria cases | 26 |
supplementary information | 26 |
health education | 26 |
health information | 26 |
online survey | 26 |
health belief | 25 |
mean age | 25 |
attitude towards | 25 |
response rate | 25 |
capacity building | 25 |
significant difference | 25 |
developing countries | 25 |
medical staff | 25 |
zoonotic pathogens | 25 |
care seeking | 25 |
study period | 25 |
county cdcs | 25 |
belief model | 25 |
publication history | 25 |
local health | 24 |
infl uenza | 24 |
pathogen surveillance | 24 |
total cost | 24 |
phepr messages | 24 |
may also | 24 |
confidence interval | 24 |
household practices | 24 |
like illness | 24 |
risk perceptions | 24 |
qualitative study | 24 |
community health | 24 |
per person | 24 |
genome sequencing | 23 |
google scholar | 23 |
statistical analysis | 23 |
first nations | 23 |
influenza infection | 23 |
educational level | 23 |
welfare staff | 23 |
injecting drug | 22 |
information sources | 22 |
health threats | 22 |
ebola survivors | 22 |
least one | 22 |
randomized controlled | 22 |
southeast asia | 22 |
simulation model | 22 |
lessons learned | 22 |
influenza preparedness | 22 |
syndromic surveillance | 22 |
respiratory illness | 22 |
process model | 22 |
missed opportunity | 22 |
clinical symptoms | 22 |
mouth disease | 22 |
health mandate | 22 |
contact tracing | 22 |
bat consumption | 22 |
national influenza | 22 |
epidemiological data | 22 |
culturally appropriate | 21 |
health threat | 21 |
general health | 21 |
sectional survey | 21 |
parameter values | 21 |
tb control | 21 |
human health | 21 |
economic activity | 21 |
among evd | 21 |
perceived risk | 21 |
performed using | 21 |
significant differences | 21 |
response efficacy | 21 |
research ethics | 21 |
high levels | 21 |
intensive care | 21 |
internalised stigma | 21 |
task load | 21 |
mortality rate | 21 |
health measures | 21 |
common cold | 21 |
global burden | 20 |
stakeholder groups | 20 |
infection waves | 20 |
healthcare providers | 20 |
otitis media | 20 |
activity status | 20 |
note springer | 20 |
health behaviours | 20 |
planned behaviour | 20 |
general practitioners | 20 |
disease management | 20 |
older cohort | 20 |
practice scores | 20 |
pneumococcal vaccination | 20 |
social network | 20 |
social isolation | 20 |
total number | 20 |
wildlife surveillance | 20 |
aboriginal communities | 20 |
pandemic response | 20 |
health officials | 20 |
enacted stigma | 20 |
system resilience | 19 |
vaccination uptake | 19 |
key informants | 19 |
see table | 19 |
factors influencing | 19 |
ethics approval | 19 |
epidemiological characteristics | 19 |
total costs | 19 |
evd outbreak | 19 |
delayed treatment | 19 |
hospital workers | 19 |
pi models | 19 |
close contact | 19 |
health questionnaire | 19 |
health problems | 19 |
traumatic stress | 19 |
jiangsu province | 19 |
also found | 19 |
data sharing | 19 |
risk factor | 19 |
health interventions | 19 |
literature review | 19 |
i hospitalizations | 19 |
intervention strategies | 19 |
among health | 19 |
medical center | 19 |
torres strait | 19 |
high level | 19 |
among healthcare | 19 |
emergency management | 19 |
losses due | 19 |
health policies | 18 |
low levels | 18 |
seasonal threshold | 18 |
zoonotic pathogen | 18 |
hiv infection | 18 |
behavioral control | 18 |
income countries | 18 |
vaccination among | 18 |
focus groups | 18 |
two studies | 18 |
corresponding author | 18 |
perceived behavioral | 18 |
descriptive statistics | 18 |
important role | 18 |
toronto area | 18 |
north america | 18 |
natural hazards | 18 |
health promotion | 18 |
two groups | 18 |
physical activity | 18 |
see additional | 18 |
hiv self | 18 |
influenza epidemic | 18 |
perceived severity | 18 |
medical care | 18 |
written informed | 18 |
subjective norm | 18 |
greater toronto | 18 |
data providers | 18 |
older adults | 18 |
ethnic minority | 18 |
low severity | 18 |
health organizations | 18 |
throat swabs | 18 |
severity pandemics | 18 |
health surveillance | 18 |
higher levels | 17 |
vaccine uptake | 17 |
point likert | 17 |
model parameters | 17 |
lang son | 17 |
aged years | 17 |
distancing interventions | 17 |
participants reported | 17 |
sentinel sites | 17 |
peer referral | 17 |
better understanding | 17 |
good knowledge | 17 |
disease spread | 17 |
european countries | 17 |
past months | 17 |
good hand | 17 |
cohort study | 17 |
washing hands | 17 |
among idus | 17 |
older age | 17 |
health behaviour | 17 |
hiv prevention | 17 |
public perceptions | 17 |
dg sanco | 17 |
asymptomatic carriers | 17 |
square test | 17 |
related productivity | 17 |
health practice | 17 |
statistical analyses | 17 |
risk groups | 17 |
significantly associated | 17 |
decision making | 17 |
care unit | 16 |
health departments | 16 |
telephone survey | 16 |
animal health | 16 |
health response | 16 |
parallel process | 16 |
salmonella outbreak | 16 |
service provision | 16 |
pharmaceutical interventions | 16 |
high severity | 16 |
drug resistance | 16 |
population health | 16 |
statistical significance | 16 |
nucleic acid | 16 |
younger cohort | 16 |
distress among | 16 |
many countries | 16 |
community members | 16 |
second life | 16 |
social media | 16 |
data provider | 16 |
table shows | 16 |
scoping review | 16 |
among men | 16 |
case fatality | 16 |
simulation models | 16 |
search strategy | 16 |
health protection | 16 |
extended parallel | 16 |
human enterovirus | 16 |
higher risk | 16 |
malaria elimination | 16 |
demographic data | 16 |
hiv among | 16 |
restrictive measures | 16 |
seven days | 16 |
phe preparedness | 16 |
influenza prevention | 15 |
demographic variables | 15 |
pandemic preparation | 15 |
aids epidemic | 15 |
whole genome | 15 |
final version | 15 |
future studies | 15 |
data collected | 15 |
cross sectional | 15 |
attack rates | 15 |
south africa | 15 |
tic practices | 15 |
high rates | 15 |
antiviral treatment | 15 |
change theory | 15 |
antiviral drugs | 15 |
factor analysis | 15 |
economic position | 15 |
autonomy support | 15 |
viet nam | 15 |
case study | 15 |
network laboratories | 15 |
significant predictors | 15 |
time points | 15 |
zoonotic disease | 15 |
social cognitive | 15 |
indigenous australians | 15 |
care facilities | 15 |
internal market | 15 |
research team | 15 |
health sector | 15 |
policy outputs | 15 |
women experiencing | 15 |
stress disorder | 15 |
family member | 15 |
studies reported | 15 |
another study | 15 |
policy makers | 15 |
suspected cases | 15 |
confidence intervals | 15 |
gender difference | 15 |
higher education | 14 |
pandemic threats | 14 |
literature search | 14 |
zoonotic diseases | 14 |
health needs | 14 |
hair cortisol | 14 |
reasonable request | 14 |
next manuscript | 14 |
perceived autonomy | 14 |
study also | 14 |
biomed central | 14 |
economic status | 14 |
temporal variations | 14 |
increased risk | 14 |
highly pathogenic | 14 |
urban areas | 14 |
financial support | 14 |
new zealand | 14 |
health experts | 14 |
low self | 14 |
integrated model | 14 |
ili patients | 14 |
qualitative research | 14 |
attitudes towards | 14 |
emergency department | 14 |
eu public | 14 |
coping appraisal | 14 |
communicable diseases | 14 |
heart disease | 14 |
search terms | 14 |
will help | 14 |
kobe city | 14 |
novel influenza | 14 |
virus infection | 14 |
seasonal migration | 14 |
strait islander | 14 |
human behaviour | 14 |
standard deviation | 14 |
information accompanies | 14 |
among women | 14 |
weather variables | 14 |
european centre | 14 |
infection prevention | 14 |
private sector | 14 |
hygiene behaviour | 14 |
western australia | 14 |
education level | 14 |
systematic reviews | 14 |
medical research | 14 |
influenza epidemics | 14 |
burning suicide | 14 |
local level | 14 |
different levels | 14 |
virus isolation | 14 |
community contact | 13 |
review board | 13 |
sars survivors | 13 |
qualitative data | 13 |
health actions | 13 |
previous study | 13 |
domestic violence | 13 |
odds ratio | 13 |
mers outbreak | 13 |
based interventions | 13 |
correlation coefficients | 13 |
distributed software | 13 |
recent years | 13 |
reported eating | 13 |
study conducted | 13 |
pneumococcal vaccine | 13 |
influenza cases | 13 |
respiratory infection | 13 |
odds ratios | 13 |
ebola epidemic | 13 |
six countries | 13 |
mechanical ventilation | 13 |
international health | 13 |
virological surveillance | 13 |
global pandemic | 13 |
early detection | 13 |
stigma among | 13 |
human transmission | 13 |
healthcare system | 13 |
study reported | 13 |
tb cases | 13 |
clinical characteristics | 13 |
second wave | 13 |
early warning | 13 |
temporal patterns | 13 |
published studies | 13 |
tb patients | 13 |
preventive behavior | 13 |
treatment delay | 13 |
health organisation | 13 |
influenza outbreak | 13 |
sars epidemic | 13 |
even though | 13 |
perceived susceptibility | 13 |
infected cases | 13 |
elderly population | 13 |
psychological impact | 13 |
secondary attack | 13 |
independent predictors | 13 |
health individualism | 13 |
behavioural science | 13 |
independent variables | 13 |
mers patients | 12 |
scientific evidence | 12 |
disease modellers | 12 |
regression model | 12 |
coronavirus infection | 12 |
preparedness plans | 12 |
east area | 12 |
months post | 12 |
control group | 12 |
eating bats | 12 |
per day | 12 |
fear control | 12 |
priority interfaces | 12 |
cov infection | 12 |
laboratory capacity | 12 |
times higher | 12 |
western area | 12 |
health issues | 12 |
wide range | 12 |
true vs | 12 |
related industry | 12 |
local levels | 12 |
freely available | 12 |
commit suicide | 12 |
individual patient | 12 |
contact reduction | 12 |
marital status | 12 |
bush meat | 12 |
human influenza | 12 |
knowledge regarding | 12 |
regarding covid | 12 |
sequence data | 12 |
local government | 12 |
informed care | 12 |
preparedness planning | 12 |
health facility | 12 |
respiratory disease | 12 |
risk assessment | 12 |
score sheet | 12 |
general practice | 12 |
salmonella infection | 12 |
ning ming | 12 |
perceived low | 12 |
seeking behaviors | 12 |
aboriginal health | 12 |
past decade | 12 |
indigenous populations | 12 |
respiratory tract | 12 |
health practitioners | 12 |
total sample | 12 |
vs false | 12 |
severity categories | 12 |
medium businesses | 12 |
hendra virus | 12 |
secondary school | 12 |
systematic analysis | 12 |
basic reproduction | 12 |
emergency plan | 12 |
mathematical models | 12 |
preventive practices | 12 |
national surveillance | 12 |
likert scale | 12 |
face masks | 12 |
strongly agree | 12 |
hivst kits | 12 |
drug users | 12 |
adjusted odds | 12 |
raw data | 12 |
personal protective | 12 |
staff members | 12 |
health commission | 12 |
family members | 12 |
public places | 12 |
antiviral prophylaxis | 11 |
environmental factors | 11 |
improving health | 11 |
sichuan province | 11 |
five countries | 11 |
horse industry | 11 |
health activities | 11 |
patient management | 11 |
life expectancy | 11 |
important factor | 11 |
emergency plans | 11 |
protective equipment | 11 |
pathogen sequence | 11 |
disease detection | 11 |
township hospitals | 11 |
clinical practice | 11 |
mem method | 11 |
business owners | 11 |
human infection | 11 |
series analysis | 11 |
disease study | 11 |
among ebola | 11 |
human mobility | 11 |
using data | 11 |
studies used | 11 |
shared understanding | 11 |
results showed | 11 |
infected individuals | 11 |
several limitations | 11 |
pandemic severity | 11 |
survey data | 11 |
study population | 11 |
severe cases | 11 |
peer review | 11 |
composite parameter | 11 |
average epidemic | 11 |
intensity thresholds | 11 |
danger control | 11 |
commonly cited | 11 |
south east | 11 |
pilot study | 11 |
aids patients | 11 |
consumption behaviors | 11 |
current review | 11 |
salmonella infections | 11 |
pandemic vaccine | 11 |
local public | 11 |
early stage | 11 |
sample sizes | 11 |
laboratory confirmed | 11 |
intervention studies | 11 |
categorical variables | 11 |
primary health | 11 |
pregnant women | 11 |
surveillance programme | 11 |
horse owners | 11 |
field model | 11 |
positive attitude | 11 |
icu admission | 11 |
health community | 11 |
take full | 11 |
poor health | 11 |
protective behaviours | 11 |
practices towards | 11 |
global public | 11 |
respiratory viruses | 11 |
random sampling | 11 |
capital city | 11 |
cognitive theory | 11 |
using spss | 11 |
democratic republic | 11 |
full advantage | 11 |
health related | 11 |
i i | 11 |
global disease | 11 |
relevant information | 11 |
national institute | 11 |
longitudinal study | 11 |
focus group | 11 |
personal hygiene | 11 |
conceptual framework | 11 |
ili surveillance | 11 |
health department | 11 |
regression analyses | 11 |
face mask | 11 |
vp gene | 11 |
small sample | 11 |
based surveillance | 11 |
sars crisis | 11 |
multiple infection | 11 |
different types | 10 |
highest number | 10 |
incentives plus | 10 |
dependent variable | 10 |
first months | 10 |
ming county | 10 |
surveillance network | 10 |
health worker | 10 |
data sources | 10 |
prolonged cough | 10 |
analysed using | 10 |
health center | 10 |
new york | 10 |
african countries | 10 |
pooled estimate | 10 |
child welfare | 10 |
early stages | 10 |
cm use | 10 |
surveillance programs | 10 |
online submission | 10 |
digital network | 10 |
cases reported | 10 |
regression models | 10 |
epidemic threshold | 10 |
effective strategies | 10 |
institutional review | 10 |
outbreak investigations | 10 |
health insurance | 10 |
baseline survey | 10 |
recent study | 10 |
missed opportunities | 10 |
nipah virus | 10 |
transmission dynamics | 10 |
perceived health | 10 |
higher knowledge | 10 |
ecological region | 10 |
january th | 10 |
welfare institutions | 10 |
posttraumatic stress | 10 |
blood samples | 10 |
pathogenic avian | 10 |
samples collected | 10 |
epidemic method | 10 |
influenza transmission | 10 |
confirmed patients | 10 |
stochastic model | 10 |
equine influenza | 10 |
social science | 10 |
computational burden | 10 |
index msm | 10 |
bat guano | 10 |
participants will | 10 |
missing data | 10 |
health relevant | 10 |
big data | 10 |
case management | 10 |
management information | 10 |
health regulations | 10 |
south wales | 10 |
medical treatment | 10 |
multiple logistic | 10 |
real time | 10 |
client physical | 10 |
good practice | 10 |
first draft | 10 |
east asia | 10 |
case detection | 10 |
virus infections | 10 |
predict project | 10 |
response plans | 10 |
health impact | 10 |
response capacity | 10 |
wealth index | 10 |
moving epidemic | 10 |
reviewed literature | 10 |
treatment delays | 10 |
familial factors | 10 |
health alert | 10 |
specific knowledge | 10 |
younger people | 10 |
enterovirus infection | 10 |
thorough peer | 10 |
industry type | 10 |
comparative study | 10 |
peak activity | 10 |
toward covid | 10 |
new south | 10 |
included studies | 10 |
human cases | 10 |
space constraints | 10 |
poisson regression | 10 |
zoonosis awareness | 10 |
randomly selected | 10 |
analyzed using | 10 |
plus peer | 10 |
immediate publication | 10 |
highly effective | 10 |
china cdc | 10 |
sociodemographic characteristics | 10 |
vast majority | 10 |
pandemic potential | 10 |
health workforce | 10 |
convenient online | 10 |
needing help | 10 |
first author | 10 |
improve health | 10 |
study found | 10 |
also showed | 10 |
health preparedness | 10 |
among adults | 10 |
respondents reported | 10 |
pandemic planning | 10 |
blood smear | 10 |
senior center | 10 |
disease threats | 10 |
theory within | 10 |
cited theories | 9 |
survey instrument | 9 |
study aimed | 9 |
clinical care | 9 |
sore throat | 9 |
unintended consequences | 9 |
climate change | 9 |
contact experiences | 9 |
reproduction numbers | 9 |
sexual behavior | 9 |
inclusion criteria | 9 |
model parameter | 9 |
within aboriginal | 9 |
virtual communities | 9 |
public support | 9 |
law distribution | 9 |
chinese government | 9 |
quantitative data | 9 |
contaminated salmon | 9 |
significance level | 9 |
univariate analysis | 9 |
key populations | 9 |
health responses | 9 |
health communication | 9 |
three studies | 9 |
identified within | 9 |
several studies | 9 |
i cases | 9 |
lower levels | 9 |
seasonal patterns | 9 |
livestock species | 9 |
seek health | 9 |
st century | 9 |
control groups | 9 |
among survivors | 9 |
city medical | 9 |
continuous school | 9 |
twin pairs | 9 |
will require | 9 |
health crises | 9 |
decision makers | 9 |
health centers | 9 |
malaria diagnosis | 9 |
government department | 9 |
zoonosis transmission | 9 |
large number | 9 |
virtual community | 9 |
sequencing technologies | 9 |
pre pub | 9 |
ethical approval | 9 |
coverage among | 9 |
individual level | 9 |
tb diagnosis | 9 |
strongly disagree | 9 |
united nations | 9 |
relatively low | 9 |
advisory committee | 9 |
northern province | 9 |
west african | 9 |
young adults | 9 |
staff training | 9 |
among msm | 9 |
healthcare services | 9 |
hev outbreaks | 9 |
findings indicate | 9 |
target population | 9 |
respiratory infections | 9 |
sensitive infection | 9 |
seasonal variation | 9 |
study date | 9 |
asian countries | 9 |
indigenous health | 9 |
survey among | 9 |
ear health | 9 |
correlation coefficient | 9 |
blood smears | 9 |
several factors | 9 |
wildlife pathogen | 9 |
offi cials | 9 |
aggression towards | 9 |
also reported | 9 |
healthcare neglect | 9 |
sexually transmitted | 9 |
four studies | 9 |
impact assessment | 9 |
dependent variables | 9 |
data access | 9 |
general servicemen | 9 |
care professionals | 9 |
results suggest | 9 |
advisor advocate | 9 |
laboratory diagnosis | 9 |
commonly applied | 9 |
towards pandemic | 9 |
weekly ili | 9 |
action plan | 9 |
reference laboratory | 9 |
year period | 9 |
pandemic period | 9 |
public communications | 9 |
health advisor | 9 |
added value | 9 |
sentinel clinics | 9 |
corona virus | 9 |
control practitioners | 9 |
first language | 9 |
rapid assessment | 9 |
older people | 9 |
reasoned action | 9 |
public response | 9 |
biomedical knowledge | 9 |
employment status | 9 |
limited access | 9 |
workforce reduction | 9 |
aboriginal people | 9 |
first case | 9 |
culturally safe | 9 |
social sciences | 9 |
ipv interventions | 9 |
population size | 9 |
client aggression | 9 |
care settings | 9 |
limited health | 9 |
provincial cdcs | 9 |
health metrics | 9 |
communication strategies | 9 |
care services | 9 |
assessed using | 9 |
national survey | 9 |
seasonal epidemics | 9 |
long term | 9 |
verbal abuse | 9 |
health framework | 9 |
hygiene practices | 9 |
health decision | 9 |
distancing measures | 9 |
health offi | 9 |
eu policy | 9 |
people aged | 9 |
intervention measures | 9 |
kampong cham | 9 |
real world | 9 |
within days | 9 |
medical education | 9 |
factors related | 9 |
tb dispensary | 9 |
outbreak response | 9 |
sick leave | 9 |
results indicate | 9 |
model assumptions | 9 |
study participants | 9 |
statistical methods | 9 |
intellectual content | 9 |
standard secondary | 9 |
socioeconomic status | 9 |
control programs | 9 |
indigenous participants | 9 |
pub key | 9 |
multivariate logistic | 9 |
family cluster | 9 |
calculated using | 9 |
perceived efficacy | 9 |
data end | 9 |
case definition | 9 |
study protocol | 9 |
malaria control | 8 |
exclusion criteria | 8 |
lung disease | 8 |
mainland china | 8 |
gender differences | 8 |
findings suggest | 8 |
education levels | 8 |
critical role | 8 |
chronic obstructive | 8 |
quality improvement | 8 |
load index | 8 |
underlying medical | 8 |
coverage rates | 8 |
year old | 8 |
public sector | 8 |
subject matter | 8 |
recall bias | 8 |
information sharing | 8 |
hospital preparedness | 8 |
review papers | 8 |
infectious respiratory | 8 |
vaccine coverage | 8 |
among patients | 8 |
public education | 8 |
may result | 8 |
salmonella thompson | 8 |
eid threats | 8 |
health programs | 8 |
maastricht treaty | 8 |
kitchen hygiene | 8 |
vaccination status | 8 |
next pandemic | 8 |
precaution adoption | 8 |
long treatment | 8 |
towards youth | 8 |
son province | 8 |
tobacco smoke | 8 |
minority groups | 8 |
laboratory testing | 8 |
thematic analysis | 8 |
tertiary hospitals | 8 |
hospital outbreak | 8 |
data used | 8 |
allowed us | 8 |
professionals working | 8 |
mental disorders | 8 |
tested positive | 8 |
one year | 8 |
surge capacity | 8 |
flu outbreak | 8 |
alcohol consumption | 8 |
ebola response | 8 |
three times | 8 |
intervention strategy | 8 |
resource allocation | 8 |
welfare employees | 8 |
lower level | 8 |
major pandemic | 8 |
respiratory diseases | 8 |
specific capacities | 8 |
united kingdom | 8 |
mers survivors | 8 |
viral load | 8 |
stigma scale | 8 |
different regions | 8 |
conducting wildlife | 8 |
livestock management | 8 |
disease patients | 8 |
behavioral aspects | 8 |
research agenda | 8 |
specific health | 8 |
influenza among | 8 |
adult population | 8 |
perceptions towards | 8 |
collected using | 8 |
particularly important | 8 |
three months | 8 |
cases occurred | 8 |
factors affecting | 8 |
th april | 8 |
secondary care | 8 |
behavioural responses | 8 |
making process | 8 |
human rights | 8 |
european commission | 8 |
also identified | 8 |
eid control | 8 |
exposure groups | 8 |
family planning | 8 |
system delay | 8 |
surveillance efforts | 8 |
statistical package | 8 |
latin america | 8 |
absence among | 8 |
change models | 8 |
emergency departments | 8 |
tertiary education | 8 |
higher proportion | 8 |
may help | 8 |
one review | 8 |
total score | 8 |
epidemiological investigation | 8 |
pandemic risk | 8 |
rural cambodia | 8 |
chiang rai | 8 |
free text | 8 |
household members | 8 |
ipv programming | 8 |
european public | 8 |
starting point | 8 |
key role | 8 |
descriptive study | 8 |
health conditions | 8 |
epidemiological parameters | 8 |
within mz | 8 |
communicable disease | 8 |
northern territory | 8 |
factor scores | 8 |
child health | 8 |
korean version | 8 |
commonly used | 8 |
death among | 8 |
health specialists | 8 |
total task | 8 |
vulnerable populations | 8 |
identifiable data | 8 |
arabia reported | 8 |
effective communication | 8 |
planned behavior | 8 |
first wave | 8 |
implementation process | 8 |
time periods | 8 |
influenza seasons | 8 |
developed countries | 8 |
infection among | 8 |
emerging health | 8 |
recommended group | 8 |
yemeni hcps | 8 |
testing among | 8 |
human research | 8 |
indirect effects | 8 |
geographic regions | 8 |
data support | 8 |
effective intervention | 8 |
pacific region | 8 |
content analysis | 8 |
control processes | 8 |
advisory committees | 8 |
higher among | 8 |
health informatics | 8 |
supplementary material | 8 |
influenza vaccines | 8 |
vapour pressure | 8 |
wearing behavior | 8 |
across different | 8 |
health issue | 8 |
data collectors | 8 |
ipv prevention | 8 |
conducted using | 8 |
collect data | 8 |
low vulnerability | 8 |
papers included | 8 |
cortisol concentration | 8 |
antimicrobial resistance | 8 |
also included | 8 |
confi rmed | 8 |
relevant eu | 8 |
primary healthcare | 8 |
study aims | 8 |
knowledge score | 8 |
three consecutive | 8 |
received training | 8 |
disease emergence | 8 |
current status | 8 |
publishing house | 8 |
medium business | 8 |
human enteroviruses | 8 |
response system | 8 |
among people | 8 |
natural history | 7 |
influenza outbreaks | 7 |
outbreak detection | 7 |
suicide method | 7 |
among hiv | 7 |
will need | 7 |
gdd rc | 7 |
patients infected | 7 |
open source | 7 |
data interpretation | 7 |
worth noting | 7 |
research project | 7 |
study may | 7 |
human resources | 7 |
national pandemic | 7 |
time period | 7 |
study provides | 7 |
factors including | 7 |
continuous variables | 7 |
behavioural changes | 7 |
backward stepwise | 7 |
last decade | 7 |
respiratory symptoms | 7 |
regional office | 7 |
exact test | 7 |
upper limit | 7 |
twin study | 7 |
chronic hepatitis | 7 |
among small | 7 |
international development | 7 |
high priority | 7 |
adequate knowledge | 7 |
enterovirus cases | 7 |
significant change | 7 |
summer months | 7 |
ili activity | 7 |
immunization program | 7 |
vaccine development | 7 |
study findings | 7 |
grey literature | 7 |
previously described | 7 |
food preparation | 7 |
isolation rates | 7 |
ebola risk | 7 |
international concern | 7 |
one hand | 7 |
health condition | 7 |
relatively small | 7 |
ill patients | 7 |
test results | 7 |
islander children | 7 |
nile virus | 7 |
world settings | 7 |
symptomatic cases | 7 |
health providers | 7 |
public knowledge | 7 |
health resources | 7 |
level information | 7 |
technical support | 7 |
individual health | 7 |
clinical management | 7 |
full text | 7 |
syncytial virus | 7 |
economic analysis | 7 |
standard deviations | 7 |
health advice | 7 |
sampling method | 7 |
across reviews | 7 |
regional centers | 7 |
experiencing ipv | 7 |
vulnerable migrants | 7 |
stress levels | 7 |
level health | 7 |
eu national | 7 |
coronavirus pneumonia | 7 |
health capacity | 7 |
seeking behavior | 7 |
aggregate data | 7 |
rate per | 7 |
policy development | 7 |
significantly lower | 7 |
address ipv | 7 |
informal healthcare | 7 |
juvenile justice | 7 |
perceived threat | 7 |
local epidemic | 7 |
origin influenza | 7 |
study using | 7 |
higher rates | 7 |
path analysis | 7 |
knowledge among | 7 |
data generated | 7 |
kong older | 7 |
home advice | 7 |
indigenous people | 7 |
age distribution | 7 |
response context | 7 |
four regions | 7 |
test kits | 7 |
ethical challenges | 7 |
injection equipment | 7 |
australian pandemic | 7 |
ict use | 7 |
two weeks | 7 |
health management | 7 |
susceptible individual | 7 |
working age | 7 |
virologic data | 7 |
fear appeals | 7 |
new infections | 7 |
first step | 7 |
like illnesses | 7 |
chulalongkorn university | 7 |
medical conditions | 7 |
management system | 7 |
disease caused | 7 |
experiencing intimate | 7 |
provincial health | 7 |
response efforts | 7 |
eu policies | 7 |
measured using | 7 |
human development | 7 |
economic impact | 7 |
sexual partners | 7 |
included articles | 7 |
model fit | 7 |
long delays | 7 |
english language | 7 |
adoption process | 7 |
will allow | 7 |
take part | 7 |
county hospitals | 7 |
related information | 7 |
tb among | 7 |
flu pandemic | 7 |
west nile | 7 |
identifiable phi | 7 |
per week | 7 |
effective hand | 7 |
confirmed influenza | 7 |
human infectious | 7 |
among youth | 7 |
preventive behaviour | 7 |
healthcare professionals | 7 |
rectal swabs | 7 |
outpatient consultations | 7 |
pattern ii | 7 |
high prevalence | 7 |
infected patients | 7 |
medical students | 7 |
also observed | 7 |
individuals within | 7 |
seasonal peak | 7 |
clinical features | 7 |
related health | 7 |
mers death | 7 |
made available | 7 |
behavioural scientists | 7 |
response bias | 7 |
participating businesses | 7 |
outbreak period | 7 |
provider state | 7 |
winter months | 7 |
better understand | 7 |
personal computers | 7 |
across countries | 7 |
household questionnaire | 7 |
saharan africa | 7 |
susceptible population | 7 |
positively associated | 7 |
higher motivation | 7 |
predictive value | 7 |
among children | 7 |
epidemic curve | 7 |
text review | 7 |
health perspective | 7 |
influenza control | 7 |
health infrastructure | 7 |
younger age | 7 |
renal disease | 7 |
early phase | 7 |
level public | 7 |
information behavior | 7 |
increasing trend | 7 |
nantong prefecture | 7 |
target groups | 7 |
intervention design | 7 |
also asked | 7 |
severe complications | 7 |
adequate level | 7 |
care centers | 7 |
will also | 7 |
related knowledge | 7 |
lowest total | 7 |
year age | 7 |
past three | 7 |
related deaths | 7 |
infectious pathogen | 7 |
sentinel hospitals | 7 |
diagnostic delay | 7 |
best practices | 7 |
research council | 7 |
case studies | 7 |
preparedness plan | 7 |
social workers | 7 |
pneumococcal polysaccharide | 7 |
significant association | 7 |
health intervention | 7 |
building capacity | 7 |
small proportion | 7 |
included within | 7 |
among key | 7 |
based secondary | 7 |
quality control | 7 |
disease epidemic | 7 |
related variables | 7 |
healthcare facilities | 7 |
preparedness capacity | 7 |
limited capacity | 7 |
per month | 7 |
general hospital | 7 |
collect information | 7 |
australian government | 7 |
observational study | 7 |
electronic health | 7 |
suicide victims | 7 |
traumatic experiences | 7 |
also important | 7 |
influenza risk | 7 |
welfare system | 7 |
residential care | 7 |
use among | 7 |
low health | 7 |
small number | 7 |
systems strengthening | 7 |
many people | 7 |
pandemic management | 7 |
patients among | 7 |
related questions | 7 |
research group | 7 |
quality assurance | 7 |
fatality rate | 7 |
retrospective studies | 7 |
core public | 7 |
time rt | 7 |
virus circulation | 7 |
i think | 7 |
reported days | 7 |
specific mortality | 7 |
studies included | 7 |
resistant infection | 7 |
temporal variation | 7 |
respiratory syncytial | 7 |
reduce risk | 7 |
human behavior | 7 |
three main | 7 |
global trends | 7 |
directorate general | 7 |
population density | 6 |
limited number | 6 |
suicide deaths | 6 |
boundary violations | 6 |
health crisis | 6 |
sd monetary | 6 |
international classification | 6 |
febrile illness | 6 |
emergency contexts | 6 |
practices among | 6 |
mental pressure | 6 |
influential policy | 6 |
distributed processing | 6 |
perceived effectiveness | 6 |
research findings | 6 |
selection bias | 6 |
online platform | 6 |
traditional media | 6 |
hygiene compliance | 6 |
patients aged | 6 |
hubei province | 6 |
information systems | 6 |
annual influenza | 6 |
results show | 6 |
novel avian | 6 |
human infections | 6 |
twenty years | 6 |
among older | 6 |
practices regarding | 6 |
contact patterns | 6 |
three regions | 6 |
current analysis | 6 |
ethical review | 6 |
precautionary measures | 6 |
data reported | 6 |
environmental health | 6 |
highest level | 6 |
practices related | 6 |
northern region | 6 |
higher odds | 6 |
preparedness efforts | 6 |
social norms | 6 |
among chinese | 6 |
guangzhou cdc | 6 |
educational tool | 6 |
disease burden | 6 |
health spending | 6 |
system actors | 6 |
bivariate analysis | 6 |
higher scores | 6 |
richard title | 6 |
center staff | 6 |
pathogen transmission | 6 |
eastern province | 6 |
canadian aboriginal | 6 |
medical costs | 6 |
sociodemographic factors | 6 |
effective interventions | 6 |
mers infection | 6 |
hospital emergency | 6 |
analysis revealed | 6 |
term sickness | 6 |
severe enterovirus | 6 |
health implications | 6 |
included papers | 6 |
data processing | 6 |
case reports | 6 |
related outcomes | 6 |
diagnostic tests | 6 |
tb care | 6 |
key outcomes | 6 |
simple random | 6 |
four weeks | 6 |
eid events | 6 |
mean score | 6 |
public policy | 6 |
based information | 6 |
previous research | 6 |
research methods | 6 |
ngs technologies | 6 |
wearing face | 6 |
east queensland | 6 |
tic concepts | 6 |
influenza mitigation | 6 |
indigenous communities | 6 |
service delivery | 6 |
gbd study | 6 |
enclosed public | 6 |
five studies | 6 |
review committee | 6 |
mild cases | 6 |
attitude scores | 6 |
coordination among | 6 |
information seeking | 6 |
author details | 6 |
violent suicide | 6 |
cases occurring | 6 |
care physicians | 6 |
per year | 6 |
strongly associated | 6 |
us centers | 6 |
key stakeholders | 6 |
expert perceptions | 6 |
another limitation | 6 |
point scale | 6 |
written consent | 6 |
getting ebola | 6 |
emerging pandemic | 6 |
medical emergency | 6 |
survey respondents | 6 |
health purposes | 6 |
health burden | 6 |
prevention strategies | 6 |
explanatory factors | 6 |
clinic staff | 6 |
tracing team | 6 |
community mitigation | 6 |
safety authority | 6 |
management team | 6 |
pandemic infl | 6 |
mask use | 6 |
prevent influenza | 6 |
among hcws | 6 |
immunodeficiency virus | 6 |
genomic literacy | 6 |
european parliament | 6 |
secondary cases | 6 |
high intensity | 6 |
relative importance | 6 |
central level | 6 |
present findings | 6 |
health challenges | 6 |
multiple times | 6 |
young people | 6 |
face interviews | 6 |
local community | 6 |
relevant articles | 6 |
rural china | 6 |
found dead | 6 |
results indicated | 6 |
respondents indicated | 6 |
center general | 6 |
pattern i | 6 |
role modelling | 6 |
overcrowded housing | 6 |
tobacco control | 6 |
severe pandemics | 6 |
maximum score | 6 |
preventable diseases | 6 |
disease modelling | 6 |
scores compared | 6 |
population mortality | 6 |
immunization practices | 6 |
healthcare access | 6 |
incidence rates | 6 |
public respond | 6 |
social networks | 6 |
wash hands | 6 |
hospital phe | 6 |
level actions | 6 |
related behaviours | 6 |
military health | 6 |
sectional telephone | 6 |
community transmission | 6 |
rates among | 6 |
first outbreak | 6 |
may increase | 6 |
health programme | 6 |
pandemic costs | 6 |
preparedness activities | 6 |
telephone surveys | 6 |
studies using | 6 |
participants received | 6 |
training programs | 6 |
contact probability | 6 |
major public | 6 |
indigenous individuals | 6 |
coping strategies | 6 |
salt water | 6 |
skin lesions | 6 |
performed better | 6 |
care resources | 6 |
based intervention | 6 |
time constraints | 6 |
new data | 6 |
program information | 6 |
among physicians | 6 |
good level | 6 |
precautionary principle | 6 |
infected persons | 6 |
demographic parameters | 6 |
seeking behaviour | 6 |
animal disease | 6 |
multivariable logistic | 6 |
intervention group | 6 |
become ill | 6 |
theories identified | 6 |
antiviral drug | 6 |
natural disasters | 6 |
social services | 6 |
epidemiological surveillance | 6 |
time spent | 6 |
data showed | 6 |
human immunodeficiency | 6 |
southern hemisphere | 6 |
higher score | 6 |
severe manifestations | 6 |
phepr communications | 6 |
influenza pandemics | 6 |
suicide risk | 6 |
behavioural change | 6 |
northern hemisphere | 6 |
molecular epidemiology | 6 |
health clinic | 6 |
water sources | 6 |
five districts | 6 |
pandemic virus | 6 |
critically reviewed | 6 |
final sample | 6 |
sputum smear | 6 |
legal challenges | 6 |
interrupted time | 6 |
statistical power | 6 |
emergency room | 6 |
national level | 6 |
risk management | 6 |
median age | 6 |
national university | 6 |
affected communities | 6 |
direct contact | 6 |
survey tool | 6 |
information cycle | 6 |
ethical issues | 6 |
preventive advice | 6 |
dinner gatherings | 6 |
one week | 6 |
information needs | 6 |
community engagement | 6 |
behavior among | 6 |
ili proportions | 6 |
national public | 6 |
load score | 6 |
exposed persons | 6 |
bat meat | 6 |
ili sentinel | 6 |
public place | 6 |
healthcare costs | 6 |
provinces reported | 6 |
modeling assumptions | 6 |
actions implemented | 6 |
good health | 6 |
results also | 6 |
kap surveys | 6 |
professional experience | 6 |
cham province | 6 |
reported higher | 6 |
evidence base | 6 |
theories within | 6 |
one third | 6 |
control strategies | 6 |
inform public | 6 |
general practitioner | 6 |
available evidence | 6 |
lebanese physicians | 6 |
isolation rate | 6 |
decision aid | 6 |
takes place | 6 |
eat bats | 6 |
clinical predictors | 6 |
knowledge scores | 6 |
next influenza | 6 |
two core | 6 |
working experience | 6 |
cluster cases | 6 |
consent form | 6 |
severity category | 6 |
wearing facemasks | 6 |
meteorological factors | 6 |
available data | 6 |
disaster preparedness | 6 |
readily available | 6 |
community level | 6 |
external funding | 6 |
mycobacterium tuberculosis | 6 |
ethical use | 6 |
influenza symptoms | 6 |
analysis showed | 6 |
related factors | 6 |
alternative medicine | 6 |
definite diagnosis | 6 |
antiviral resistance | 6 |
service sector | 6 |
adverse events | 6 |
hospital classification | 6 |
social security | 6 |
every year | 6 |
may provide | 6 |
control system | 6 |
software package | 6 |
shared understandings | 6 |
one month | 6 |
practice guidelines | 6 |
response strategies | 6 |
among different | 6 |
recovery stage | 6 |
health staff | 6 |
border measures | 6 |
highest among | 6 |
kampot province | 6 |
source code | 6 |
old female | 6 |
economic development | 6 |
liver clinic | 6 |
rate among | 6 |
determination theory | 6 |
clinical data | 6 |
hiv stigma | 6 |
seasonal iv | 6 |
international organization | 6 |
emerging influenza | 6 |
datasets used | 6 |
determine whether | 6 |
policies actions | 6 |
planning commission | 6 |
cited herein | 6 |
relatively high | 6 |
digital health | 6 |
disease emergencies | 6 |
study results | 6 |
news media | 6 |
existing pi | 6 |
health educators | 6 |
may affect | 6 |
preventive behaviors | 6 |
social research | 6 |
less physical | 6 |
symptomatic individuals | 5 |
salmonella typhimurium | 5 |
uscdc collaboration | 5 |
optaids project | 5 |
first survey | 5 |
cost components | 5 |
identify potential | 5 |
work experience | 5 |
security efforts | 5 |
adverse effects | 5 |
polymerase chain | 5 |
economically beneficial | 5 |
ipv using | 5 |
broad range | 5 |
temporal pattern | 5 |
inadvertent disclosure | 5 |
large numbers | 5 |
tobacco advertising | 5 |
bse vcjd | 5 |
patient health | 5 |
communities may | 5 |
among general | 5 |
mean number | 5 |
epidemiological analysis | 5 |
elevator button | 5 |
filter question | 5 |
animal interfaces | 5 |
support among | 5 |
influenza center | 5 |
physical health | 5 |
educational background | 5 |
clinical manifestations | 5 |
significant correlation | 5 |
member state | 5 |
person compared | 5 |
alcohol use | 5 |
broad support | 5 |
national civil | 5 |
disease natural | 5 |
white paper | 5 |
limited destinations | 5 |
civil servant | 5 |
questions related | 5 |
among individuals | 5 |
survey conducted | 5 |
community services | 5 |
contact information | 5 |
african ebola | 5 |
upper level | 5 |
among injecting | 5 |
first pages | 5 |
suicide seasonality | 5 |
significantly reduced | 5 |
medicine use | 5 |
growth rate | 5 |
government officials | 5 |
behavior change | 5 |
shared environmental | 5 |
mobile phones | 5 |
preventive actions | 5 |
three areas | 5 |
care provider | 5 |
different ways | 5 |
random sample | 5 |
among young | 5 |
emergency center | 5 |
genomic epidemiology | 5 |
relative humidity | 5 |
positive association | 5 |
measurement tools | 5 |
disease survivors | 5 |
herbal medicine | 5 |
state residents | 5 |
different scenarios | 5 |
aids burden | 5 |
disease containment | 5 |
epidemic dynamics | 5 |
eating bush | 5 |
remote community | 5 |
severity assessment | 5 |
severe respiratory | 5 |
tuberculosis patients | 5 |
disease threat | 5 |
redundant messages | 5 |
crisis management | 5 |
polysaccharide vaccine | 5 |
seasonal vaccine | 5 |
enterovirus infections | 5 |
accept pre | 5 |
central nervous | 5 |
high proportion | 5 |
wildlife official | 5 |
pandemic mitigation | 5 |
last years | 5 |
patient care | 5 |
severe disease | 5 |
tb suspects | 5 |
residential building | 5 |
project scientist | 5 |
working women | 5 |
essential services | 5 |
diseases may | 5 |
several times | 5 |
healthy people | 5 |
past experience | 5 |
rainy season | 5 |
literacy model | 5 |
spss software | 5 |
work together | 5 |
average number | 5 |
effective response | 5 |
land use | 5 |
inappropriate use | 5 |
respondent knew | 5 |
causal pathways | 5 |
significantly less | 5 |
assumptions regarding | 5 |
behaviours towards | 5 |
data obtained | 5 |
among aboriginal | 5 |
operational models | 5 |
psychosocial settings | 5 |
nearly half | 5 |
provide technical | 5 |
percentage positive | 5 |
four hundred | 5 |
shared water | 5 |
sleep quality | 5 |
health researchers | 5 |
vaccination campaign | 5 |
diseases control | 5 |
cross cultural | 5 |
whose main | 5 |
applied theories | 5 |
governmental funding | 5 |
differential equation | 5 |
idus will | 5 |
ethical considerations | 5 |
existing models | 5 |
ibm spss | 5 |
health inequalities | 5 |
text screening | 5 |
physiological stress | 5 |
also significant | 5 |
hospital hygienists | 5 |
large sample | 5 |
meteorological variables | 5 |
influenza reference | 5 |
border hiv | 5 |
health campaigns | 5 |
also examined | 5 |
way forward | 5 |
treatment level | 5 |
southern province | 5 |
complementary medicine | 5 |
selected based | 5 |
monthly patterns | 5 |
mers cases | 5 |
union health | 5 |
economic impacts | 5 |
study indicated | 5 |
results presented | 5 |
health effects | 5 |
period began | 5 |
matter experts | 5 |
cohort differences | 5 |
rural communities | 5 |
practices associated | 5 |
surveillance database | 5 |
lifestyle factors | 5 |
ili values | 5 |
disease models | 5 |
business characteristics | 5 |
used ict | 5 |
high incidence | 5 |
vaccination recommendations | 5 |
modelling studies | 5 |
linear regression | 5 |
increasing communication | 5 |
new infection | 5 |
ngs data | 5 |
adults aged | 5 |
medical services | 5 |
based study | 5 |
personal risk | 5 |
attitudes scores | 5 |
prevent seasonal | 5 |
international organizations | 5 |
national institutes | 5 |
year follow | 5 |
potential barriers | 5 |
wear facemasks | 5 |
preventive medicine | 5 |
higher perceived | 5 |
low level | 5 |
secondary education | 5 |
malaria transmission | 5 |
portuguese population | 5 |
online teaching | 5 |
many different | 5 |
sickness absences | 5 |
multivariate analysis | 5 |
growing interest | 5 |
inverse variance | 5 |
health expert | 5 |
significant health | 5 |
series model | 5 |
mass media | 5 |
input data | 5 |
reduce transmission | 5 |
american health | 5 |
study designs | 5 |
medical record | 5 |
year olds | 5 |
educational levels | 5 |
million cases | 5 |
attitude toward | 5 |
bivariate associations | 5 |
professional groups | 5 |
health context | 5 |
fatality ratio | 5 |
computer simulation | 5 |
compared using | 5 |
protective behaviour | 5 |
sample collection | 5 |
health authority | 5 |
absence proportion | 5 |
one author | 5 |
software version | 5 |
clinical trial | 5 |
containing pandemic | 5 |
negatively associated | 5 |
policy decisions | 5 |
lagos state | 5 |
direct effect | 5 |
daily patterns | 5 |
older respondents | 5 |
building efforts | 5 |
will provide | 5 |
thank dr | 5 |
twin control | 5 |
epidemic weeks | 5 |
preparation areas | 5 |
previous influenza | 5 |
sensitive pathogen | 5 |
asymptomatic carrier | 5 |
represented within | 5 |
health events | 5 |
perceived behavior | 5 |
hev vp | 5 |
ethical committee | 5 |
evolutionary responses | 5 |
may therefore | 5 |
medical microbiologists | 5 |
conducted among | 5 |
key components | 5 |
one child | 5 |
behavior control | 5 |
among yemeni | 5 |
obstructive pulmonary | 5 |
ecos panel | 5 |
southern thailand | 5 |
three different | 5 |
normal distribution | 5 |
arnhem land | 5 |
group discussions | 5 |
trained interviewers | 5 |
higher practice | 5 |
also used | 5 |
awareness regarding | 5 |
information regarding | 5 |
perceived response | 5 |
chain reaction | 5 |
two clusters | 5 |
cov outbreak | 5 |
service providers | 5 |
behaviour within | 5 |
improve global | 5 |
community containment | 5 |
promising approach | 5 |
nasopharyngeal swabs | 5 |
deeper understanding | 5 |
european food | 5 |
original search | 5 |
working days | 5 |
hiv prevalence | 5 |
remote communities | 5 |
strategic plans | 5 |
study recruitment | 5 |
better health | 5 |
hiv transmission | 5 |
mental illness | 5 |
two cross | 5 |
participants provided | 5 |
social behavioral | 5 |
australian aboriginal | 5 |
parasitic diseases | 5 |
will likely | 5 |
health genomics | 5 |
coverage goals | 5 |
analysis due | 5 |
stress symptoms | 5 |
i know | 5 |
incentives arm | 5 |
communicating phepr | 5 |
factors may | 5 |
molecular biologists | 5 |
confirmed diagnosis | 5 |
study subjects | 5 |
strongly perceived | 5 |
pulmonary disease | 5 |
final report | 5 |
rti consultation | 5 |
laboratory data | 5 |
systems need | 5 |
significant predictor | 5 |
physical violence | 5 |
china date | 5 |
increased motivation | 5 |
educational differences | 5 |
tuberculosis control | 5 |
sexual violence | 5 |
ebola treatment | 5 |
cost per | 5 |
infection wave | 5 |
communicate phepr | 5 |
disease dynamics | 5 |
including diabetes | 5 |
usual working | 5 |
independent predictor | 5 |
lower risk | 5 |
residential youth | 5 |
excess mortality | 5 |
critically ill | 5 |
based model | 5 |
severe epidemics | 5 |
monitoring system | 5 |
disability pensioning | 5 |
two stakeholder | 5 |
kong chinese | 5 |
rapid survey | 5 |
care delivery | 5 |
respir viruses | 5 |
increasing age | 5 |
two consecutive | 5 |
highly contagious | 5 |
ili cases | 5 |
australian indigenous | 5 |
subjective norms | 5 |
expert opinion | 5 |
minimum sample | 5 |
may influence | 5 |
psychological outcomes | 5 |
pharmaceutical measures | 5 |
antibody levels | 5 |
strong correlation | 5 |
significant associations | 5 |
may occur | 5 |
usual care | 5 |
salmonella enteritidis | 5 |
published articles | 5 |
hospitalization patterns | 5 |
multiple reviews | 5 |
meaning units | 5 |
rural settings | 5 |
bats live | 5 |
ei control | 5 |
smear preparation | 5 |
health messages | 5 |
similar results | 5 |
hev enteroviruses | 5 |
control procedures | 5 |
home environment | 5 |
case report | 5 |
cases per | 5 |
influenza type | 5 |
biases associated | 5 |
risk communications | 5 |
laboratory surveillance | 5 |
health knowledge | 5 |
health capacities | 5 |
google search | 5 |
statistical software | 5 |
scale ranging | 5 |
local infection | 5 |
women preferred | 5 |
scale salmonella | 5 |
wildlife disease | 5 |
chiang mai | 5 |
greater proportion | 5 |
testing services | 5 |
confirmed human | 5 |
asymptomatic infection | 5 |
may reduce | 5 |
capacities identified | 5 |
per capita | 5 |
may reflect | 5 |
review date | 5 |
productivity loss | 5 |
fatal cases | 5 |
old male | 5 |
prospective study | 5 |
new media | 5 |
contextual translation | 5 |
control study | 5 |
care utilization | 5 |
health technology | 5 |
took place | 5 |
county tb | 5 |
study area | 5 |
short period | 5 |
food products | 5 |
university hospital | 5 |
medical publishing | 5 |
care setting | 5 |
guangxi province | 5 |
health strategy | 5 |
travel history | 5 |
chinese medicine | 5 |
vesicle swabs | 5 |
determined using | 5 |
consecutive weeks | 5 |
isolation period | 5 |
vulnerable population | 5 |
least seven | 5 |
acid test | 5 |
perceptions regarding | 5 |
eid prevention | 5 |
warning system | 5 |
demographic information | 5 |
significant independent | 5 |
chinese national | 5 |
diseases surveillance | 5 |
field investigation | 5 |
healthcare emergencies | 5 |
selection process | 5 |
future pandemics | 5 |
among persons | 5 |
moderate level | 5 |
per arm | 5 |
tools used | 5 |
age population | 5 |
mathematical modelling | 5 |
royal college | 5 |
among participants | 5 |
inclusion exclusion | 5 |
anyone else | 5 |
research literature | 5 |
priority groups | 5 |
individuals years | 5 |
publicly available | 5 |
overall response | 5 |
entire province | 5 |
pattern iii | 5 |
emerging diseases | 5 |
participating health | 5 |
three seasons | 5 |
national centre | 5 |
sectional studies | 5 |
provincial reference | 5 |
surveillance purposes | 5 |
core themes | 5 |
disease risk | 5 |
strong public | 5 |
occurring psychological | 5 |
binary variable | 5 |
two family | 5 |
healthcare delivery | 5 |
pandemic cost | 5 |
key areas | 5 |
pandemic spread | 5 |
th march | 5 |
processing model | 5 |
community action | 5 |
safety decision | 5 |
sensitivity analyses | 5 |
support scale | 5 |
local governments | 5 |
system strengthening | 5 |
environmental samples | 5 |
overall mortality | 5 |
pan american | 5 |
ahi cases | 5 |
ground frost | 5 |
time point | 5 |
ear disease | 5 |
six studies | 5 |
spss inc | 5 |
rapid containment | 5 |
high school | 5 |
air frost | 5 |
several years | 5 |
public engagement | 5 |
disability weights | 5 |
transmission characteristics | 5 |
data must | 5 |
two methods | 5 |
theories across | 5 |
health action | 5 |
demographic factors | 5 |
three years | 5 |
average peak | 5 |
agriculture policy | 5 |
remaining articles | 5 |
infection outbreaks | 5 |
current pandemic | 5 |
two rounds | 5 |
study shows | 5 |
item general | 5 |
regarding wildlife | 5 |
york city | 5 |
quarantine orders | 5 |
overall population | 5 |
preparedness programmes | 5 |
attitudes toward | 5 |
main reason | 5 |
surveillance program | 5 |
main outcome | 5 |
indigenous key | 5 |
epidemic weekly | 5 |
data tools | 5 |
reported herein | 5 |
factors underlying | 5 |
burning charcoal | 5 |
clinical responder | 5 |
news website | 5 |
significant proportion | 5 |
associated factors | 5 |
positivity rate | 5 |
infection rate | 5 |
working men | 5 |
study demonstrated | 5 |
village health | 5 |
pandemic situation | 5 |
control practices | 5 |
border healthcare | 5 |
cooperative agreement | 5 |
ethics committees | 5 |
time scan | 5 |
social factors | 5 |
routine public | 5 |
statistical modelling | 5 |
developing om | 5 |
series data | 5 |
first cases | 5 |
system capacities | 5 |
vaccine among | 5 |
four geographic | 5 |
emergency communication | 4 |
twin pair | 4 |
seasonal component | 4 |
physical exercise | 4 |
details key | 4 |
burnout among | 4 |
indirect transmission | 4 |
traumatic experience | 4 |
facemask use | 4 |
event recovery | 4 |
different stages | 4 |
past experiences | 4 |
care workforce | 4 |
data set | 4 |
surveillance information | 4 |
death associated | 4 |
different media | 4 |
respondents exhibited | 4 |
tb service | 4 |
approach will | 4 |
social contact | 4 |
two families | 4 |
factors increased | 4 |
empirical research | 4 |
may lead | 4 |
phylogenetic analysis | 4 |
expert advisory | 4 |
explanatory power | 4 |
infect anyone | 4 |
age category | 4 |
healthcare staff | 4 |
four levels | 4 |
model used | 4 |
available documentation | 4 |
everyday life | 4 |
national strategic | 4 |
anxiety among | 4 |
global mortality | 4 |
rmed cases | 4 |
report anticipated | 4 |
related activities | 4 |
regional differences | 4 |
pi model | 4 |
appointed health | 4 |
differences among | 4 |
new jersey | 4 |
chronic kidney | 4 |
information technology | 4 |
mutually exclusive | 4 |
certain groups | 4 |
wgs data | 4 |
based self | 4 |
highest mortality | 4 |
southwest nigeria | 4 |
respiratory hygiene | 4 |
formal education | 4 |
analysis approach | 4 |
average length | 4 |
action plans | 4 |
emerg infect | 4 |
fact sheet | 4 |
gender bias | 4 |
perceived self | 4 |
current preventive | 4 |
low vaccination | 4 |
free tb | 4 |
infections occurred | 4 |
community psychobehavioral | 4 |
strains isolated | 4 |
preparedness capacities | 4 |
decision support | 4 |
next step | 4 |
sectional data | 4 |
psychological behaviour | 4 |
patient information | 4 |
diabetes mellitus | 4 |
health communications | 4 |
community setting | 4 |
behavior composite | 4 |
two regions | 4 |
chronic conditions | 4 |
manuscript drafting | 4 |
demonstration program | 4 |
indexes will | 4 |
may explain | 4 |
service workers | 4 |
health pandemic | 4 |
need help | 4 |
acid detection | 4 |
elderly patients | 4 |
conceptualize manuscript | 4 |
critical issues | 4 |
line list | 4 |
service policy | 4 |
avoidance behaviors | 4 |
health agency | 4 |
community clinic | 4 |
may indicate | 4 |
generation sequencing | 4 |
based ipv | 4 |
vaccination process | 4 |
salmonella serotypes | 4 |
human primates | 4 |
hiv seroprevalence | 4 |
reference centers | 4 |
contact transmission | 4 |
among hcps | 4 |
district hospital | 4 |
prevention measures | 4 |
suspected case | 4 |
using online | 4 |
effective public | 4 |
pandemic time | 4 |
survey questions | 4 |
european guidelines | 4 |
true false | 4 |
mathematical modellers | 4 |
surveys conducted | 4 |
communication routes | 4 |
strengthen health | 4 |
government area | 4 |
mobility data | 4 |
clear need | 4 |
online health | 4 |
regarding pandemic | 4 |
four types | 4 |
related mortality | 4 |
suggested improvements | 4 |
cognitive variables | 4 |
delivery systems | 4 |
migration patterns | 4 |
also considered | 4 |
death certificate | 4 |
primary research | 4 |
injection drug | 4 |
surface samples | 4 |
much greater | 4 |
positive predictive | 4 |
virus transmission | 4 |
canadian perspective | 4 |
questions included | 4 |
training sessions | 4 |
disease syndromes | 4 |
snow lying | 4 |
policy decision | 4 |
approximately half | 4 |
census data | 4 |
street intercept | 4 |