Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On a coupled time-dependent SIR models fitting with New York and
  New-Jersey states COVID-19 data   This article describes a simple Susceptible Infected Recovered (SIR) model
fitting with COVID-19 data for the month of march 2020 in New York (NY) state.
The model is a classical SIR, but is non-autonomous; the rate of susceptible
people becoming infected is adjusted over time in order to fit the available
data. The death rate is also secondarily adjusted. Our fitting is made under
the assumption that due to limiting number of tests, a large part of the
infected population has not been tested positive. In the last part, we extend
the model to take into account the daily fluxes between New Jersey (NJ) and NY
states and fit the data for both states. Our simple model fits the available
data, and illustrates typical dynamics of the disease: exponential increase,
apex and decrease. The model highlights a decrease in the transmission rate
over the period which gives a quantitative illustration about how lockdown
policies reduce the spread of the pandemic. The coupled model with NY and NJ
states shows a wave in NJ following the NY wave, illustrating the mechanism of
spread from one attractive hot spot to its neighbor. }

37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
1
The categories of this paper are: cs
12
The categories of this paper are: nucl-th