Saving lives during the COVID-19 pandemic: the benefits of the first Swiss lockdown

Swiss Journal of Economics and Statistics

Table 3 Descriptive statistics by age group after adjusting the data (by May 15)

	Age groups
	0–9	10–19	20–29	30–39	40–49	50–64	65–79	80+	Total
Panel A: positive cases
Number of cases	6871	26507	29366	31733	36911	42203	13181	12189	198961
Share of total cases	3.45%	13.32%	14.76%	15.95%	18.55%	21.21%	6.63%	6.13%	100%
Panel B: hospitalizations and ICU
Hospitalizations	26	33	110	136	258	866	1275	1187	3891
Hospitalizations/cases	0.38%	0.12%	0.37%	0.43%	0.70%	2.05%	9.67%	9.74%	1.96%
ICU	1	1	5	15	27	132	239	78	498
ICU/cases	0.01%	0.00%	0.02%	0.05%	0.07%	0.31%	1.81%	0.64%	0.25%
Average days in ICU	–	–	–	4.33	10.50	16.25	11.41	8.66	11.30
Panel C: deaths
Number of deaths	0	0	0	5	4	71	403	1112	1,595
Deaths/cases	0.00%	0.00%	0.00%	0.02%	0.01%	0.17%	3.06%	9.12%	0.80%
Share of women	0.00%	0.00%	0.00%	40.00%	25.00%	25.35%	31.27%	47.48%	42.32%

Note: This table summarizes the dataset which combines the individual-level data released by the Federal Office of Public Health (February 25–May 15, 2020) and the seroprevalence results inferred from Stringhini et al. (2020). Panel A displays the number of estimated positive cases, as well as the share of total cases attributed to each age group. Panel B shows the number of patients requiring hospitalization or intensive care in each age group, also expressed as a share of the total number of cases in the corresponding age group. In case of access to intensive care units, the data even report the exact dates of entry and exit, allowing to compute the average length of stay. Finally, panel C displays the number of COVID-related deaths in each age group, indicating the corresponding imputed infection fatality rate and the share of total fatalities occurred among women