Table 2.
Age-standardised estimates for case severity and fatality of COVID-19 for 16 included countries
| Proportion of infected individuals hospitaliseda (%) | Proportion of hospitalised cases requiring critical careb (%) | Proportion of individuals requiring critical care diec (%) | Infection fatality ratio (IFR)d (%) | |
|---|---|---|---|---|
| High-income | ||||
| Australia | 5.34 | 29.3 | 59.6 | 0.93 |
| Belgium | 6.01 | 31.5 | 59.6 | 1.13 |
| Chile | 4.69 | 25.8 | 59.5 | 0.72 |
| The Netherlands | 6.12 | 30.6 | 59.6 | 1.12 |
| Upper-middle income | ||||
| Colombia | 3.93 | 23.3 | 59.4 | 0.54 |
| Mexico | 3.57 | 22.3 | 59.4 | 0.47 |
| South Africa | 3.09 | 19.1 | 59.2 | 0.35 |
| Sri Lanka | 4.38 | 24.2 | 59.5 | 0.63 |
| Lower-middle income | ||||
| Bangladesh | 3.10 | 19.6 | 59.3 | 0.36 |
| India | 3.35 | 20.3 | 59.3 | 0.41 |
| Nigeria | 1.96 | 16.3 | 59.1 | 0.19 |
| Pakistan | 2.55 | 19.0 | 59.2 | 0.29 |
| Low-income | ||||
| Afghanistan | 1.86 | 16.4 | 59.1 | 0.18 |
| Burkina Faso | 1.81 | 16.0 | 59.0 | 0.17 |
| Tanzania | 1.90 | 16.3 | 59.0 | 0.18 |
| Uganda | 1.61 | 15.1 | 58.9 | 0.15 |
All estimates are standardised according to the age structure of the respective country
aAge-specific proportions of infected individuals hospitalised were taken from Verity et al. [18]. These proportions were adjusted for under-ascertainment and corrected for demography. We assumed that cases defined as severe would be hospitalised
bAge-specific proportions of hospitalised cases requiring critical care were taken from Imperial COVID-19 Response Team Report [4]
cAge-specific proportions of individuals requiring critical care die were calculated by dividing the IFRs with proportions of infected individuals hospitalised and proportions of hospitalised cases requiring critical care
dAge-specific IFRs were taken from Verity et al. [18]