Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Can Self Reported Symptoms Predict Daily COVID-19 Cases?   The COVID-19 pandemic has impacted lives and economies across the globe,
leading to many deaths. While vaccination is an important intervention, its
roll-out is slow and unequal across the globe. Therefore, extensive testing
still remains one of the key methods to monitor and contain the virus. Testing
on a large scale is expensive and arduous. Hence, we need alternate methods to
estimate the number of cases. Online surveys have been shown to be an effective
method for data collection amidst the pandemic. In this work, we develop
machine learning models to estimate the prevalence of COVID-19 using
self-reported symptoms. Our best model predicts the daily cases with a mean
absolute error (MAE) of 226.30 (normalized MAE of 27.09%) per state, which
demonstrates the possibility of predicting the actual number of confirmed cases
by utilizing self-reported symptoms. The models are developed at two levels of
data granularity - local models, which are trained at the state level, and a
single global model which is trained on the combined data aggregated across all
states. Our results indicate a lower error on the local models as opposed to
the global model. In addition, we also show that the most important symptoms
(features) vary considerably from state to state. This work demonstrates that
the models developed on crowd-sourced data, curated via online platforms, can
complement the existing epidemiological surveillance infrastructure in a
cost-effective manner. The code is publicly available at
https://github.com/parthpatwa/Can-Self-Reported-Symptoms-Predict-Daily-COVID-19-Cases.

18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
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The categories of this paper are: q-fin
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The categories of this paper are: eess