|
older adults |
9 |
|
walkability |
9 |
|
physical activity |
8 |
|
geographic information systems |
7 |
|
mental health |
7 |
|
environmental audits |
6 |
|
living arrangements |
6 |
|
mediation |
6 |
|
walking |
6 |
|
china |
5 |
|
hong kong |
5 |
|
mega-city |
5 |
|
neighborhood environment |
5 |
|
social support |
5 |
|
ultra-dense urban areas |
5 |
|
active transport |
4 |
|
built environment |
4 |
|
chronic disease |
4 |
|
mediation analysis |
4 |
|
mobility |
4 |
|
recreation |
4 |
|
ultra-dense cities |
4 |
|
walking for transport and recreation |
4 |
|
accelerometers |
3 |
|
accelerometry |
3 |
|
active lifestyle |
3 |
|
europe |
3 |
|
neighbourhood satisfaction |
3 |
|
physical environment |
3 |
|
sedentary behaviour |
3 |
|
social environment |
3 |
|
socio-ecological models |
3 |
|
urban planning |
3 |
|
depression in old age - environmental aspects |
2 |
|
diurnal patterns |
2 |
|
elderly |
2 |
|
epidemiology |
2 |
|
eq-5d-5l |
2 |
|
health-related quality of life |
2 |
|
housework |
2 |
|
life satisfaction |
2 |
|
psychological wellbeing |
2 |
|
sitting time |
2 |
|
work-family relation, quality of life |
2 |
|
accuracy |
1 |
|
acute infectious diseases |
1 |
|
adjuvant cancer therapy |
1 |
|
ai |
1 |
|
analysis |
1 |
|
antenatal |
1 |
|
app |
1 |
|
application |
1 |
|
artificial intelligence |
1 |
|
asia |
1 |
|
attitude |
1 |
|
blood sugar |
1 |
|
cancer |
1 |
|
case study |
1 |
|
childhood asthma |
1 |
|
china medical insurance research association (chira) database |
1 |
|
chinese population |
1 |
|
choice |
1 |
|
chronic non-communicable diseases |
1 |
|
college student |
1 |
|
college students |
1 |
|
communication |
1 |
|
congenital heart disease |
1 |
|
control |
1 |
|
convenience |
1 |
|
coronavirus |
1 |
|
coronavirus disease |
1 |
|
cost-effectiveness |
1 |
|
cost-effectiveness analysis |
1 |
|
covid-19 |
1 |
|
covid-19 vaccine |
1 |
|
covid-19 vaccine preference |
1 |
|
data mining |
1 |
|
deep learning |
1 |
|
delivery |
1 |
|
depression therapy |
1 |
|
diabetes |
1 |
|
diagnosis |
1 |
|
diagnostic imaging |
1 |
|
digital epidemiology |
1 |
|
discrete choice |
1 |
|
discrete choice experiment |
1 |
|
discrete latent traits |
1 |
|
disease diagnosis |
1 |
|
ealth-related quality of life |
1 |
|
economic burden |
1 |
|
end-of-life |
1 |
|
end-stage |
1 |
|
environmental tobacco smoke |
1 |
|
euroqol (eq-5d) |
1 |
|
exercise |
1 |
|
facemask shortage |
1 |
|
fasting plasma glucose |
1 |
|
first-hand smoke |
1 |
|
general population |
1 |
|
gestational diabetes |
1 |
|
gestational diabetes mellitus |
1 |
|
global health |
1 |
|
google trends |
1 |
|
health care |
1 |
|
health care system |
1 |
|
health communication |
1 |
|
health information |
1 |
|
health insurance |
1 |
|
health policy |
1 |
|
healthcare preferences |
1 |
|
healthcare providers |
1 |
|
hemodialysis |
1 |
|
hemorrhoidal disease |
1 |
|
hesitancy |
1 |
|
hierarchical medical system |
1 |
|
hospice |
1 |
|
hospice care |
1 |
|
hpv vaccination |
1 |
|
hrqol |
1 |
|
human clinicians |
1 |
|
humidity |
1 |
|
image interpretation, computer-assisted |
1 |
|
inequality |
1 |
|
infoveillance |
1 |
|
innovation |
1 |
|
inpatient costs |
1 |
|
intermediate role |
1 |
|
international physical activity questionnaire |
1 |
|
ketogenic diet |
1 |
|
latent-class conditional logit |
1 |
|
lifestyles |
1 |
|
likert scale |
1 |
|
low-carbohydrate diet |
1 |
|
major diseases |
1 |
|
mass media |
1 |
|
maternal health care |
1 |
|
media |
1 |
|
mendelian randomization |
1 |
|
mental illness |
1 |
|
meta-analysis |
1 |
|
meteorological factors |
1 |
|
misconception |
1 |
|
model |
1 |
|
multinomial logit analysis |
1 |
|
news |
1 |
|
news coverage |
1 |
|
novel coronavirus-infected pneumonia |
1 |
|
nucleic test |
1 |
|
online education |
1 |
|
online prenatal education |
1 |
|
outbreak |
1 |
|
parent-child attachment |
1 |
|
patient |
1 |
|
patient preference |
1 |
|
patient-centered care |
1 |
|
patients |
1 |
|
patients with fever |
1 |
|
patients' preferences |
1 |
|
perinatal depression |
1 |
|
post-traumatic stress disorder |
1 |
|
pre-pregnancy smoking |
1 |
|
preference |
1 |
|
pregnancy |
1 |
|
pregnant |
1 |
|
pregnant women |
1 |
|
propensity score matching |
1 |
|
public concerns |
1 |
|
public crisis |
1 |
|
public health |
1 |
|
public health intervention |
1 |
|
questionnaire |
1 |
|
randomized controlled trials |
1 |
|
renal disease |
1 |
|
resource |
1 |
|
risk |
1 |
|
rural |
1 |
|
sars-cov-2 |
1 |
|
school bonding |
1 |
|
search peaks |
1 |
|
second-hand smoke |
1 |
|
secondhand tobacco smoke |
1 |
|
sentiment |
1 |
|
sentiment analysis |
1 |
|
sharing economy |
1 |
|
smoking status |
1 |
|
social adaptation |
1 |
|
social media |
1 |
|
structural equating modeling |
1 |
|
surgery |
1 |
|
surveillance |
1 |
|
systematic review |
1 |
|
telehealth |
1 |
|
temperature |
1 |
|
test kits |
1 |
|
third-hand smoke |
1 |
|
time-series |
1 |
|
topic modeling |
1 |
|
traditional medicine |
1 |
|
transmission |
1 |
|
trimesters |
1 |
|
universal facemask wearing policy |
1 |
|
vaccine |
1 |
|
vaccine acceptance |
1 |
|
vaccine hesitancy |
1 |
|
vaccine preference |
1 |
|
vascular access |
1 |
|
virtual reality |
1 |
|
virus |
1 |
|
weather |
1 |
|
weibo |
1 |
|
women |
1 |
