Medicine & Life Sciences
Activities of Daily Living
14%
Biological Factors
15%
Biomarkers
9%
Chronic Disease
11%
Confidence Intervals
5%
Coronavirus
25%
Cross-Sectional Studies
6%
Databases
21%
Delivery of Health Care
6%
Elderly
20%
Empowerment
9%
Exercise
9%
Financial Management
8%
Focus Groups
7%
Habits
9%
Health
29%
Health Literacy
6%
Health Personnel
13%
Health Services Accessibility
5%
Incidence
14%
Indonesia
100%
Intention
46%
Learning
7%
Loneliness
19%
Maintenance
21%
Marital Status
16%
Mental Health
23%
Mobile Applications
39%
Mobile Health Units
14%
Odds Ratio
6%
Pandemics
10%
Personality
13%
Program Evaluation
8%
Psychology
10%
PubMed
15%
Research Design
11%
SARS Virus
8%
Sleep
11%
Smokers
25%
Smoking
32%
Smoking Cessation
30%
Social Support
14%
Software Design
28%
Spirituality
19%
Students
21%
Technology
22%
Telemedicine
33%
Tobacco Products
9%
Virus Diseases
22%
Volunteers
12%
Social Sciences
acceptance
21%
Access to Health Care
9%
adolescent
17%
biological factors
12%
Chronic Diseases
11%
communication
15%
economy
9%
entrepreneur
21%
entrepreneurship
28%
evaluation
21%
evidence
14%
fishery
15%
government policy
12%
habits
14%
health
39%
health care
15%
Healthcare
15%
household income
16%
incidence
25%
inclusion
6%
income
10%
Indonesia
68%
interview
6%
long-distance travel
12%
marital status
9%
mental health
20%
minimum wage
9%
personality traits
9%
process management
35%
psychological factors
10%
quantitative method
7%
recreational activity
8%
regression
11%
rural area
24%
search engine
9%
sleep
10%
social factors
8%
social media
23%
social support
8%
spirituality
10%
student
7%
time series analysis
7%
university
13%
video
22%
village
24%
well-being
6%
worker
7%
working adolescent
10%
Business & Economics
Communication Channels
34%
Follower
7%
Indonesia
25%
Instagram
44%
Job Market
5%
Job Mobility
5%
Media Ownership
6%
Mismatch
31%
Multinomial Logistic Regression
5%
Overeducation
42%
Penalty
26%
Social Media
27%
Wage Differences
5%
Wages
20%
Work Environment
5%
Workers
9%
