| t01 |
health, mental, COVID-19, mental_health, working, outbreak, risk, %, people, china |
35 |
23 |
| t02 |
PTSD, %, SARS, stress, CI, 95, psychological_distress, symptoms, psychiatric, MERS |
32 |
2 |
| t03 |
months, 6, exercise, capacity, HRQOL, function, hrqol, impairment, discharge, patients |
18 |
2 |
| t04 |
social, support, social_support, depressive_symptoms, recovery, levels, depressive, disasters, low, risk |
17 |
3 |
| t05 |
psychological, staff, nurses, intervention, medical, patients, anxiety, group, ward, = |
18 |
13 |
| t06 |
coping, women, strategies, optimism, cognitive, students, responses, loss, life, dispositional_optimism |
20 |
3 |
| t07 |
sleep, sleep_quality, quality, disturbance(s), fmw, sleep_disturbances, capital, PSQI, social_capital |
12 |
6 |
| t08 |
suicide(s), disaster, victims, adolescents, economic, prescription, HK, celebrity, charcoal |
13 |
1 |
| t09 |
rumor, social_media, media, twitter, engagement, facebook, TKR, AA, social, misinformation |
10 |
2 |
| t10 |
validity, WURSS-21, WURSS-44, reliability, korean, psychometric, scales, responsiveness, SF-8, jackson |
12 |
0 |
| t11 |
physical_symptoms, mood, sickness, attachment, sickness_symptoms, war, association, mood_disorders, exposed, hospital_personnel |
13 |
1 |
| t12 |
fear(s), olfactory, OC, taste, smell, phobia, alleles, swine, disorders |
11 |
2 |
| t13 |
studies, literature, older, older_adults, research, meta-analysis, incidents, review, work-related, violence |
9 |
1 |
| t14 |
fertility, fertiqol, #, experiencing, isolation, homelessness, cues, count, cycles, cdcgrandrounds |
10 |
3 |
| t15 |
MEG3, times, cells, digoxin, HT22, rheumatoid, ht22_cells, arthritis, morphine, pregnancy |
6 |
0 |
