Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Interactive Dashboard for Real-Time Analytics and Monitoring of
  COVID-19 Outbreak in India: A proof of Concept   Data analysis and visualization are essential for exploring and communicating
findings in medical research, especially in epidemiological surveillance. Data
on COVID-19 diagnosed cases and mortality, from crowdsourced website COVID-19
India Tracker, Census 2011, and Google Mobility reports have been used to
develop a real-time analytics and monitoring system for the COVID-19 outbreak
in India. We have developed a dashboard application for data visualization and
analysis of several indicators to follow the SARS-CoV-2 epidemic using data
science techniques. A district-level tool for basic epidemiological
surveillance, in an interactive and user-friendly manner which includes time
trends, epidemic curves, key epidemiological parameters such as growth rate,
doubling time, and effective reproduction number have been estimated. This
demonstrates the application of data science methods and epidemiological
techniques in public health decision-making while addressing the gap of timely
and reliable decision aiding tools.

23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph