| Literature DB >> 32257150 |
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Year: 2020 PMID: 32257150 PMCID: PMC7125421 DOI: 10.7189/jogh.10.010335
Source DB: PubMed Journal: J Glob Health ISSN: 2047-2978 Impact factor: 7.664
A dynamics of the epidemic of COVID-19 in any given country, based on a realistic scenario of about 26% of day-to-day growth of the number of cases
| Time | Number infected | Number sick | Approximate number requiring intensive care |
|---|---|---|---|
| Day 0 | 1 | 0 | 0 |
| Day 7 | 10 | 1 | 0 |
| Day 14 | 100 | 10 | 0 |
| Day 21 | 1000 | 100 | 5 |
| Day 28 | 10 000 | 1000 | 50 |
| Day 35 | 100 000 | 10 000 | 500 |
| Day 42 | 1 000 000 | 100 000 | 5000 |
| Day 49 | 10 000 000 | 1 000 000 | 50 000 |
Age distribution of deaths from COVID-19 in Italy and China*
| Italy (up to March 17), an analysis of 1625 deaths | China (up to February 11), an analysis of 1023 deaths | |||
|---|---|---|---|---|
| 0-9 | 0 | 0 | 0 | 0 |
| 10-19 | 0 | 0 | 1 (0.1%) | 0.2% |
| 20-29 | 0 | 0 | 7 (0.7%) | 0.2% |
| 30-39 | 4 (0.3%) | 0.3% | 18 (1.8%) | 0.2% |
| 40-49 | 10 (0.6%) | 0.4% | 38 (3.7%) | 0.4% |
| 50-59 | 43 (2.7%) | 1.0% | 130 (12.7%) | 1.3% |
| 60-69 | 139 (8.6%) | 3.5% | 309 (30.2%) | 3.6% |
| 70-79 | 578 (35.6%) | 12.8% | 312 (30.5%) | 8.0% |
| 80+ | 850 (52.3%) | 20.2% | 208 (20.3%) | 14.8% |
*Adapted from Onder et al. [24].