Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nowcasting COVID-19 incidence indicators during the Italian first
  outbreak   A novel parametric regression model is proposed to fit incidence data
typically collected during epidemics. The proposal is motivated by real-time
monitoring and short-term forecasting of the main epidemiological indicators
within the first outbreak of COVID-19 in Italy. Accurate short-term
predictions, including the potential effect of exogenous or external variables
are provided; this ensures to accurately predict important characteristics of
the epidemic (e.g., peak time and height), allowing for a better allocation of
health resources over time. Parameters estimation is carried out in a maximum
likelihood framework. All computational details required to reproduce the
approach and replicate the results are provided.

29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an