Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: From predictions to prescriptions: A data-driven response to COVID-19   The COVID-19 pandemic has created unprecedented challenges worldwide.
Strained healthcare providers make difficult decisions on patient triage,
treatment and care management on a daily basis. Policy makers have imposed
social distancing measures to slow the disease, at a steep economic price. We
design analytical tools to support these decisions and combat the pandemic.
Specifically, we propose a comprehensive data-driven approach to understand the
clinical characteristics of COVID-19, predict its mortality, forecast its
evolution, and ultimately alleviate its impact. By leveraging cohort-level
clinical data, patient-level hospital data, and census-level epidemiological
data, we develop an integrated four-step approach, combining descriptive,
predictive and prescriptive analytics. First, we aggregate hundreds of clinical
studies into the most comprehensive database on COVID-19 to paint a new
macroscopic picture of the disease. Second, we build personalized calculators
to predict the risk of infection and mortality as a function of demographics,
symptoms, comorbidities, and lab values. Third, we develop a novel
epidemiological model to project the pandemic's spread and inform social
distancing policies. Fourth, we propose an optimization model to re-allocate
ventilators and alleviate shortages. Our results have been used at the clinical
level by several hospitals to triage patients, guide care management, plan ICU
capacity, and re-distribute ventilators. At the policy level, they are
currently supporting safe back-to-work policies at a major institution and
equitable vaccine distribution planning at a major pharmaceutical company, and
have been integrated into the US Center for Disease Control's pandemic
forecast.

22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
1
The categories of this paper are: cs
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys