Table 1.
Examples from several countries of the proposed method for calculating the percent of the population infected with SARS-CoV2 from the number of deaths, 4 June 2020.
| 1. Location | 2. Number of Reported Covid19 Cases | 3. Population a (‘Pop’ in Box) | 4. Percentage of Population Reported as Covid19 Cases (Column 2/Column 3) ×100 | 5. Number Reported Covid19 Deaths (‘D’ in Box) | 6. Calculated Percentage of Population Infected Using Proposed Method a (95% CI) (Calculated as ‘PIP’ in Box) | 7. Ratio of Percentage Infected to Reported as Cases (95% CI) (Column 6/Column 4) |
|---|---|---|---|---|---|---|
| Switzerland b | 30,974 | 8,688,200 | 0.36% | 1922 | 3.2% (2.7–4.2) | 9 (8–12) |
| Zurich | 3631 | 1,553,600 | 0.23% | 130 | 1.2% (1.0–1.6) | 5 (4–7) |
| Geneve | 5158 | 509,100 | 1.0% | 281 | 8.1% (6.7–10.4) | 8 (7–10) |
| Spain c | 233037 | 46,660,000 | 0.50% | 27940 | 8.8% (7.3–11.3) | 18 (15–23) |
| Madrid | 67049 | 6,685,471 | 1.0% | 8931 | 19.6% (16.3–25.2) | 20 (16–25) |
| Galicia | 9077 | 2,698,764 | 0.34% | 608 | 3.3% (2.8–4.3) | 10 (8–13) |
| Kenya d | 8250 | 53,916,841 | 0.015% | 167 | 0.046% (0.038–0.058%) | 3 (2–4) |
a IFR used in calculation of summary estimate from meta-analysis 0.68% (95% CI 0.53–0.82%) [22]; b Swiss cases and deaths of 4 June 2020, https://ddrobotec.maps.arcgis.com/apps/opsdashboard/index.html#/5ed2e108dbab4235a7318d1cfe147e7a. Population from 2020 https://www.bfs.admin.ch/bfs/en/home/statistics/population/population-projections/cantonal-projections.html; c Data on Covid19 cases in Spain on June 4 and population projections for 2019 from https://www.zoho.com/covid/spain/ and https://www.statista.com/statistics/445549/population-of-spain-by-autonomous-community/; d Data for Kenya taken on 7 July from https://www.worldometers.info/coronavirus/#countries. 7 July was chosen because it was approximately 3 weeks after the last day of the serosurvey to account for a lag in time from infection to death [21].