Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: System inference for the spatio-temporal evolution of infectious
  diseases: Michigan in the time of COVID-19   We extend the classical SIR model of infectious disease spread to account for
time dependence in the parameters, which also include diffusivities. The
temporal dependence accounts for the changing characteristics of testing,
quarantine and treatment protocols, while diffusivity incorporates a mobile
population. This model has been applied to data on the evolution of the
COVID-19 pandemic in the US state of Michigan. For system inference, we use
recent advances; specifically our framework for Variational System
Identification (Wang et al., Comp. Meth. App. Mech. Eng., 356, 44-74, 2019;
arXiv:2001.04816 [cs.CE]) as well as Bayesian machine learning methods.

12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
1
The categories of this paper are: cs
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics