Independently estimated IFRs and predicted IFRs adjusted by health system capacity
| Sampling | Location | Income group | Independently estimated IFR | Predicted IFR | Sampling | Location | Income group | Independently estimated IFR | Predicted IFR | ||
| Random | Sweden | HIC | 0.87% | 0.98% | Blood donors | The Netherlands | HIC | 0.98% | 0.93% | ||
| Random | Belgium | HIC | 1.48% | 0.96% | Blood donors | Denmark | HIC | 0.57% | 0.94% | ||
| Random | Iceland | HIC | 0.46% | 0.73% | Santa Clara, USA | HIC | 0.18% | 0.79% | |||
| Random | Switzerland | HIC | 0.73% | 0.92% | Shoppers | New York State, USA | HIC | 0.68% | 0.79% | ||
| Random | Spain | HIC | 1.15% | 0.99% | Shoppers | New York City, USA | HIC | 0.61% | 0.79% | ||
| Random | Brazil | UMIC | 1.00% | 0.80% | SIR | France | HIC | 0.80% | 0.97% | ||
| Random, local | Brazil, Rio Grande do Sul | UMIC | 0.83% | 0.80% | Adjusted CFR | USA | HIC | 1.30% | 0.79% | ||
| Random, local | Indiana, USA | HIC | 0.58% | 0.79% | Adjusted CFR | UK | HIC | 1.00% | 0.91% | ||
| Random, local | Iran | UMIC | 0.41% | 0.65% | Adjusted CFR | Beijing, China | UMIC | 1.15% | 0.88% | ||
| Random, local | Germany | HIC | 0.36% | 1.13% | Adjusted CFR | Italy | HIC | 1.60% | 1.15% | ||
| Blood donors | Czech Republic | HIC | 0.68% | 0.87% | Travellers | Japan | HIC | 0.45% | 1.31% | ||
| Blood donors | Slovenia | HIC | 0.16% | 0.95% | Travellers | China | UMIC | 0.66% | 0.88% | ||
| Blood donors | Spain (2) | HIC | 1.30% | 0.99% | Excluding mortality | Italy (2) | HIC | 0.95% | 1.15% | ||
| Blood donors | Sweden (2) | HIC | 0.63% | 0.98% | Model | Northern Italy | HIC | 1.29% | 1.15% | ||
| Blood donors | Luxembourg | HIC | 0.84% | 0.75% | Model | France (2) | HIC | 0.70% | 0.97% | ||
| Blood donors | Wuhan, China | UMIC | 0.35% | 0.88% | PFR | New York City, USA | HIC | 0.93% | 0.79% |
The table lists all independently estimated IFRs retrieved in an internet search on July 2 and listed in Meyerowitz-Katz and Merone 17 reporting type of study, location and income region. It compares the independent results with our predicted health system-adjusted IFR.
CFR, case fatality rate; HIC, high-income country; IFR, infection fatality rate; PFR, population fatality rate; SIR, susceptible, infectious, recovered model; UMIC, upper middle-income country.