|
air pollution |
4 |
|
aigc |
3 |
|
anthropogenic methane |
3 |
|
ch4 |
3 |
|
covid-19 |
3 |
|
data-driven |
3 |
|
deep learning |
3 |
|
global warming |
3 |
|
greenhouse gases |
3 |
|
hybrid model |
3 |
|
large language model |
3 |
|
meteorology |
3 |
|
physics-based urban building energy modeling |
3 |
|
remote sensing |
3 |
|
sectoral emissions |
3 |
|
age at menopause |
2 |
|
ambient air pollution |
2 |
|
ambient pm 2.5 |
2 |
|
blood pressure |
2 |
|
cancer mortality |
2 |
|
children |
2 |
|
children and adolescents |
2 |
|
chronic kidney disease |
2 |
|
habitual exercise |
2 |
|
humidity |
2 |
|
hypertension |
2 |
|
longitudinal cohort |
2 |
|
lung function |
2 |
|
no 2 |
2 |
|
o 3 |
2 |
|
particulate matter |
2 |
|
pm 2.5 |
2 |
|
pollutant emission |
2 |
|
quality improvement |
2 |
|
renal function |
2 |
|
respiratory health |
2 |
|
risk |
2 |
|
taiwan |
2 |
|
adults |
1 |
|
air quality |
1 |
|
air quality improvement |
1 |
|
ambient particulate matter |
1 |
|
ambient pm2.5 |
1 |
|
ambient temperature |
1 |
|
blood coagulability |
1 |
|
cardiovascular diseases |
1 |
|
cause-specific mortality |
1 |
|
china |
1 |
|
chinese adults |
1 |
|
chronic |
1 |
|
chronic obstructive pulmonary disease |
1 |
|
cohort |
1 |
|
cohort studies |
1 |
|
college involvement |
1 |
|
copd |
1 |
|
covid-19 incidence |
1 |
|
covid-19 mortality |
1 |
|
covid-19 transmission |
1 |
|
disease burden |
1 |
|
distributed lag non-linear model |
1 |
|
duration of sunshine |
1 |
|
dyslipidaemia |
1 |
|
dyslipidemia |
1 |
|
effect modification |
1 |
|
effective reproduction number |
1 |
|
egfr |
1 |
|
epidemiology |
1 |
|
estimated glomerular filtration rate |
1 |
|
exercise |
1 |
|
exercises |
1 |
|
fine particulate matter |
1 |
|
first-year |
1 |
|
gastrointestinal cancer mortality |
1 |
|
global burden of disease study |
1 |
|
global health |
1 |
|
glucose |
1 |
|
gout |
1 |
|
gpa |
1 |
|
habitual physical activity |
1 |
|
hand, foot, and mouth disease |
1 |
|
health & safety |
1 |
|
health economics |
1 |
|
health policy |
1 |
|
health protocols |
1 |
|
immune-mediated inflammatory disease |
1 |
|
implementation of physical distancing interventions |
1 |
|
imported scale |
1 |
|
incense burning |
1 |
|
incidence |
1 |
|
incident type 2 diabetes |
1 |
|
influencing factors |
1 |
|
interaction effects |
1 |
|
kidney |
1 |
|
life-course exposure |
1 |
|
live cancer mortality |
1 |
|
liver enzyme |
1 |
|
long-term exposure |
1 |
|
longitudinal cohort study |
1 |
|
longitudinal studies |
1 |
|
low back pain |
1 |
|
malaria incidence |
1 |
|
medical students |
1 |
|
meteorological factors |
1 |
|
mixed generalized additive model |
1 |
|
mortality |
1 |
|
non-pharmaceutical interventions |
1 |
|
osteoarthritis |
1 |
|
physical activity |
1 |
|
platelet count |
1 |
|
pm 2.5 |
1 |
|
pm air pollution 2.5 |
1 |
|
pm 10 |
1 |
|
pm air pollution 2.5 |
1 |
|
pneumonia |
1 |
|
population density |
1 |
|
precipitation |
1 |
|
prevalence |
1 |
|
psoriasis |
1 |
|
relative humidity |
1 |
|
respiratory diseases and symptoms |
1 |
|
rheumatoid arthritis |
1 |
|
risk factors |
1 |
|
sanitizers and disinfectants |
1 |
|
seasonal-trend decomposition procedure based on loess |
1 |
|
seasonality |
1 |
|
self-concept |
1 |
|
semen quality |
1 |
|
side effects |
1 |
|
sleep |
1 |
|
spatiotemporal pattern |
1 |
|
sperm morphology |
1 |
|
systemic inflammation |
1 |
|
temperature |
1 |
|
temporal trend |
1 |
|
time course |
1 |
|
time-varying effective reproduction number (rt) |
1 |
|
timescale-dependent relationship |
1 |
|
trend |
1 |
|
tuberculosis |
1 |
|
type 2 diabetes |
1 |
|
wavelet analysis |
1 |
|
white blood cell |
1 |
|
white blood cell count |
1 |
|
wind speed |
1 |
|
years lived with disability (ylds) |
1 |
|
young adult |
1 |
