Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A quantitative assessment of epidemiological parameters to model COVID-
  19 burden   Solid estimates describing the clinical course of SARS-CoV-2 infections are
still lacking due to under-ascertainment of asymptomatic and mild-disease
cases. In this work, we quantify age-specific probabilities of transitions
between stages defining the natural history of SARS-CoV-2 infection from 1,965
SARS-CoV-2 positive individuals identified in Italy between March and April
2020 among contacts of confirmed cases. Infected contacts of cases were
confirmed via RT-PCR tests as part of contact tracing activities or
retrospectively via IgG serological tests and followed-up for symptoms and
clinical outcomes. In addition, we provide estimates of time intervals between
key events defining the clinical progression of cases as obtained from a larger
sample, consisting of 95,371 infections ascertained between February and July
2020. We found that being older than 60 years of age was associated with a
39.9% (95%CI: 36.2-43.6%) likelihood of developing respiratory symptoms or
fever >= 37.5 {\deg}C after SARS-CoV-2 infection; the 22.3% (95%CI: 19.3-25.6%)
of the infections in this age group required hospital care and the 1% (95%CI:
0.4-2.1%) were admitted to an intensive care unit (ICU). The corresponding
proportions in individuals younger than 60 years were estimated at 27.9%
(95%CI: 25.4-30.4%), 8.8% (95%CI: 7.3-10.5%) and 0.4% (95%CI: 0.1-0.9%),
respectively. The infection fatality ratio (IFR) ranged from 0.2% (95%CI:
0.0-0.6%) in individuals younger than 60 years to 12.3% (95%CI: 6.9-19.7%) for
those aged 80 years or more; the case fatality ratio (CFR) in these two age
classes was 0.6% (95%CI: 0.1-2%) and 19.2% (95% CI: 10.9-30.1%), respectively.
The median length of stay in hospital was 10 (IQR 3-21) days; the length of
stay in ICU was 11 (IQR 6-19) days. The obtained estimates could be
instrumental to refine mathematical modeling work supporting public health
decisions.

34
The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th