Table 1.
Observed all-cause mortality during the 2nd and 3rd waves of the COVID-19 pandemic in Hungary and excess all-cause mortality compared to mortality of the same weeks of 2015–2019
| Second wave | Third wave | |||||
|---|---|---|---|---|---|---|
| Observed deaths | Excess deaths (95% CI) | Vaccination coverage (%)* | Observed deaths | Excess deaths (95% CI) | Vaccination coverage (%)* | |
| Age groups (years) | ||||||
| 85+ | 14685 | 3280 (2849–3711) | <10 | 11245 | −1300 (−164–−953) | 65 |
| 75-84 | 17189 | 4885 (4397–5364) | <10 | 14829 | 1189 (776–1602) | 65 |
| 65-74 | 13483 | 3585 (3199–3971) | <10 | 13409 | 2494 (2119–2851) | 50–65 |
| 55-64 | 6519 | 1048 (819–1258) | <10 | 6784 | 1172 (949–1376) | 35–50 |
| 45-54 | 2538 | 341 (227–454) | <10 | 2776 | 434 (320–548) | 20–30 |
| 35-44 | 766 | 160 (91–228) | <10 | 901 | 240 (175–306) | 20 |
| 0-34 | 524 | 58 (14–116) | <10 | 507 | 9 (−39–56) | 10–20 |
| Total | 55704 | 9771 (9554–9988) | <10 | 50451 | 8143 (7953–8333) | 30 |
Excess absolute weekly deaths were estimated for each age stratum separately using generalized linear models (Poisson distribution with log link) with age-specific mortality counts as the dependent variable; age groups and time period (COVID-19 vs. control) as factors; and the natural log transformed values of the age-specific background population as offset. The p-values are p < 0.001
95% CI: 95% confidence interval; COVID-19 coronavirus disease 2019
*Approximate cumulative uptake data of first vaccination are presented at the end of the respective wave [10]