Table 2. Estimation of the direct impacts of COVID-19 on non-respiratory conditions.
| Cause of Death | No. estimated excess deaths (95% prediction interval) | % of excess deaths directly attributable to COVID-19 (95% prediction interval)* |
|---|---|---|
| All-cause | 1,065,200 (909,800–121,8000) | 84% (65, 94) |
| Alzheimer’s | 25,300 (12,600–37,600) | 70% (45, 89) |
| Diabetes | 24,700 (15,900–33,300) | 70% (45, 93) |
| Heart diseases | 51,300 (7,400–94,300) | 73% (32, 94) |
| Cerebrovascular diseases | 16,600 (5,300–27,800) | 26% (−17, 62) |
| External causes | 102,800 (81,400–123,700) | −48% (−64, −23)† |
| Cancer | 4,300 (−18,100–26,500) | N/A‡ |
Regression estimates of the direct impact of COVID-19 on cause-specific excess mortality, where weekly cause-specific excess mortality is regressed against COVID-19 intensity, strength of interventions, and ICU occupancy, using gam models. Estimates are based on comparison of predictions from the full model with counterfactual predictions where the COVID-19 term is set to zero.
COVID-19 intensity is significant but negatively associated with excess mortality from external causes, hence the estimated attributable fraction is negative.
COVID-19 intensity is not retained in the cancer model.