Sample characteristics of all tracked individuals and COVID-19 confirmed cases
| Variables | All sample (n=14 264) | COVID-19 confirmed cases (n=551) | ||||||
| % or mean | SD | Min | Max | % or mean | SD | Min | Max | |
| COVID-19 infections | 551 (3.9%) | 551 (100%) | ||||||
| COVID-19 deaths | 62 (0.4%) | 62 (11.3%) | ||||||
| Male | 9109 (63.9%) | 293 (53.2%) | ||||||
| Age, years | ||||||||
| ≤17 | 1794 (12.6%) | 33 (6.0%) | ||||||
| 18–44 | 9049 (63.6%) | 218 (39.6%) | ||||||
| 45–60 | 2766 (19.4%) | 214 (38.8%) | ||||||
| >60 | 632 (4.4%) | 86 (15.6%) | ||||||
| Job type | ||||||||
| Civil servant, non-health worker | 62 (0.4%) | 14 (2.5%) | ||||||
| Health worker | 58 (0.4%) | 12 (2.2%) | ||||||
| Professional worker | 59 (0.4%) | 5 (0.9%) | ||||||
| Labourer | 4092 (28.7%) | 347 (63.0%) | ||||||
| Trader | 2349 (16.5%) | 295 (53.5%) | ||||||
| Farmer | 2265 (15.9%) | 37 (6.7%) | ||||||
| Housewife | 2085 (14.6%) | 170 (30.9%) | ||||||
| Student | 2864 (20.0%) | 42 (7.6%) | ||||||
| Retired | 227 (1.6%) | 25 (4.5%) | ||||||
| Had contact with confirmed COVID-19 case | 512 (3.6%) | 159 (28.9%) | ||||||
| Had contact with suspected COVID-19 case | 354 (2.5%) | 92 (16.7%) | ||||||
| Visited animal market | 14 (0.1%) | 1 (0.2%) | ||||||
| Symptoms | ||||||||
| Fever | 983 (6.9%) | 212 (38.5%) | ||||||
| Cough | 1200 (8.4%) | 178 (32.3%) | ||||||
| Runny nose | 549 (3.8%) | 58 (10.5%) | ||||||
| Sore throat | 288 (2.0%) | 40 (7.3%) | ||||||
| Shortness of breath | 640 (4.5%) | 147 (26.7%) | ||||||
| Shivering | 121 (0.8%) | 17 (3.1%) | ||||||
| Headache | 180 (1.3%) | 30 (5.4%) | ||||||
| Fatigue | 457 (3.2%) | 76 (13.8%) | ||||||
| Muscle aches | 133 (0.9%) | 21 (3.8%) | ||||||
| Nausea | 241 (1.7%) | 55 (10.0%) | ||||||
| Abdominal pain | 113 (0.8%) | 20 (3.6%) | ||||||
| Diarrhoea | 68 (0.5%) | 14 (2.5%) | ||||||
| Having at least one symptom | 1824 (12.8%) | 299 (45.7%) | ||||||
| Presence of comorbidities | ||||||||
| Diabetes | 2026 (14.2%) | 267 (48.5%) | ||||||
| Heart diseases | 80 (0.6%) | 8 (1.5%) | ||||||
| Hypertension | 3213 (22.5%) | 333 (60.4%) | ||||||
| Chronic kidney diseases | 19 (0.1%) | 4 (0.7%) | ||||||
| Autoimmune diseases | 15 (0.1%) | 2 (0.4%) | ||||||
| Chronic obstructive pulmonary disease | 32 (0.2%) | 4 (0.7%) | ||||||
| Medical doctor diagnosis before RT-PCR | ||||||||
| Pneumonia | 648 (4.5%) | 222 (40.3%) | ||||||
| Acute respiratory distress syndrome | 23 (0.2%) | 7 (1.3%) | ||||||
| Respiratory failure | 0.8% | 11 (2.0%) | ||||||
| Inpatient | 5.8% | 276 (50.1%) | ||||||
| intensive care unit | 0.2% | 6 (1.4%) | ||||||
| Village determinants | ||||||||
| Number of community-based health interventions | 134 | 20 | 0 | 149 | 111 | 41 | 0 | 147 |
| Number of indigenous sociocultural activities | 11 | 5 | 3 | 32 | 14 | 6 | 4 | 32 |
| Distance to a COVID-19 referral hospital (km) | 10 | 9.1 | 0.0 | 43.0 | 3.9 | 4.6 | 0.0 | 36.5 |
| Number of health workers | 8 | 9 | 0 | 69 | 13 | 14 | 1 | 69 |
| Village poverty | 0.2 | 0.04 | 0.01 | 0.4 | 0.2 | 0.05 | 0.03 | 0.3 |
| Distance to a COVID-19 epicentre city (km) | 34.2 | 16.0 | 1.0 | 79.0 | 18.8 | 10.0 | 4.0 | 68.0 |
| N (villages) | 390 | 152 | ||||||
RT-PCR, reverse transcription PCR.