A Covid-19 Identification Framework for Vulnerable Using Technology
Intervention
SWATANTRA KUMAR SAHU
Department of Physical Science
Mahatma Gandhi Chitrakoot Gramoday Vishwavidyalaya
4VX3+4HM, Janki Kund, Chitrakoot, Madhya Pradesh 485334
INDIA
NEERAJ SAHU
Department of Computer Science & Engineering
G H Raisoni University
Anjangaon Bari Rd, Badnera, Amravati, Maharashtra 444701
INDIA
BRIJESH BAKARIYA
Department of Computer Science and Engineering
I.K. Gujral Punjab Technical University
Campus, Hoshiarpur, Punjab
INDIA
Abstract: - The World Health Organization (WHO) mentioned the Global Outbreak Alert and Response Network
(GOARN) has launched a GOARN COVID-19 Knowledge hub. Fever, dry cough, and tiredness are the most
common symptoms of COVID-19. Another report from WHO says that laboratory testing guidance for COVID-
19 in suspected human cases. Recognizing that the global spread of COVID-19 has increased the number of
suspected cases. Thus, a well-formed people support framework is required to safeguard the vulnerable from
COVID-19-like disasters in the future. This short paper reports the research findings we conducted by laying out
a safeguard and sensible framework for people's well-being during disastrous times. The proposed framework is
a fuzzy soft algorithm to improve possible COVID-19 case identification more quickly using a smartphone. The
proposed framework has a parameter of fuzzy soft set values like Fever, dry cough, tiredness,etc fed by the user
in the mobile application that is identified by using a fuzzy soft algorithm.
Key-Words: - Covid-19, Smartphone, Latitude, Longitude, GPS, Fuzzy Soft.
Received: July 23, 2023. Revised: November 12, 2023. Accepted: December 14, 2023. Published: January 29, 2024.
1 Introduction
This short paper reports the efforts of the authors to
ensure the well-being of public health. The proposed
framework provides a comprehensive solution for
COVID-19 case identification during disastrous
Circumstances. The proposed system ensures that the
proper help reaches the people during critical times
before it is too late. The world is greatly affected by
COVID-19, the first patient of this coronavirus is
found in the city of Wuhan, Hubei
Province, China. This virus is then spread all over
around 215 countries of the World [1]-[2].
As a result, to curb these unprecedented pandemics
various measures are taken like Social Distancing,
Lock-Down which significantly affecting not only
human health but the economics, transportation,
education, etc. The government is looking for
solutions to deal with this Coronavirus outbreak to
provide proper healthcare solutions to the citizens
[3].
Engineering World
DOI:10.37394/232025.2024.6.1
Swatantra Kumar Sahu, Neeraj Sahu, Brijesh Bakariya
E-ISSN: 2692-5079
1
Volume 6, 2024
A huge attack on human health has been noticed
globally due to the novel Coronavirus “COVID-19”
as named by WHO (World Health Organization).
COVID-19 outbreak emerged from a seafood and
animal market situated in the city of Wuhan, Hubei
Province, China, and investigations are ongoing to
determine the origins of the infection [4].
A Smartphone has various types of features such as
phone calls, messages, various applications, etc.
Smartphones will browse the web run computer code
programs sort of a laptop. Smartphones use slightly
screens to permit users to move with them [5].
There are thousands of Smartphone apps in
conjunction with games, personal-use, and business-
use programs that everyone runs on the phone.
Latitude and longitude measurements are the key
points of our proposed model. This model is used for
an earth [6]-[7].
Fig 1: Latitude and Longitude
2 Problem Formulation
GPS is for the radio navigation system for navigating
a path or track. It uses radio waves between satellites
and a receiver within your phone to produce location
and time data for any software package that has
to use it.
Definition 1: Let U be the initial universe set and the
group of parameters is E. Let P (U) be the set of all
fuzzy sets of U and A ⊂ E. A pair (F, A) isa fuzzy
soft set over U, wherever F could be a mapping given
by F: A→P (U).
Example 1: In reality, taint a lot of data is fuzzy, we
can't portray fuzzy data with just two numbers 0 and
1, and we regularly utilize a participation work rather
than the fresh numbers 0 and 1 to describe it. At that
point, the fuzzy soft set (F,A) can portray the "appeal
of the houses" under the Fuzzy conditions.
F(e1) = { h1 /0.5, h2/0.7, h3 /0.6,h4/0.8, h5/0.3}
F(e2) = { h1 /0.9, h2/0.4, h3 /0.8, h4/0.3, h5/0.2}
F(e3) = { h1 /0.5, h2/0.4,h3 /0.8, h4/0.5, h5/0.8}
The likeness proportion of two Fuzzy Soft Sets can
be applied to distinguish whether an evil individual is
experiencing a specific ailment or not. An evil
individual having certain side effects, is experiencing
COVID-19, First, the Fuzzy Soft Sets is developed
for both sick and sick people.
2.1 Algorithm
CIFS (COVID-19 Identification through Fuzzy Soft)
Input: Parameters of Fuzzy Soft F
Output: Distance and Similarity between observed
and expected set
1. Develop a Fuzzy Soft Set (F1, E) over the
universe U dependent on a specialist
2. Develop a Fuzzy Soft Set (F2, E) over the
universe U dependent on manifestations
3. Ascertain the separations of (F1, E), (F2, E),
(F3, E)
4. Ascertain likeness proportion of (F1, E), (F2,
E), (F3, E)
5. Use similitude to assess the outcomes
6. Calculate Distances and Similarities between
((F1, E), (F2, E)) and ((F1, E), (F3, E)).
3 Problem Solution
Our work is a very new and effective measure
because it is entirely based on earth position value
and mobile technology. For demonstration purposes,
the six parameters of three Fuzzy soft sets each are
created and presented in Table 1.
Table 1. Status Activity Demonstration e1
S.No
Status
Fuzzy
soft set
1
Yes
(F1, E)
Engineering World
DOI:10.37394/232025.2024.6.1
Swatantra Kumar Sahu, Neeraj Sahu, Brijesh Bakariya
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Volume 6, 2024
2
No
(F1,E)
0.6
3
Yes
(F2,E)
0.7
4
No
(F2,E)
0.2
5
Yes
(F3,E)
0.6
6
No
(F3,E)
0.4
Table 2.Status Activity Demonstration e2
S.No
Status
Fuzzy
soft set
e2
1
Yes
(F1, E)
0.3
2
No
(F1,E)
0.5
3
Yes
(F2,E)
0.5
4
No
(F2,E)
0.3
5
Yes
(F3,E)
0.5
6
No
(F3,E)
0.3
Table 3. Status Activity Demonstration e3
S.No
Status
Fuzzy
soft set
e3
1
Yes
(F1, E)
0
2
No
(F1,E)
0.8
3
Yes
(F2,E)
0.9
4
No
(F2,E)
0.3
5
Yes
(F3,E)
0.7
6
No
(F3,E)
0.2
The activity includes the aggregated data collected
from all three fuzzy soft sets concerning a particular
status. A fuzzy soft set for (F1, E) over U for COVID-
19 symptoms as per medical expert opinion and fuzzy
soft set for (F2, E), (F3, E), over U based on data of
an ill person.
Table 4 Status Activity Demonstration e4
S.No
Status
Fuzzy
soft set
e4
1
Yes
(F1, E)
0.6
2
No
(F1,E)
0.7
3
Yes
(F2,E)
0.2
4
No
(F2,E)
0.8
5
Yes
(F3,E)
0.6
6
No
(F3,E)
0.3
Table 5. Status Activity Demonstration e5
S.No
Status
Fuzzy
soft set
e5
1
Yes
(F1, E)
2
No
(F1,E)
3
Yes
(F2,E)
4
No
(F2,E)
5
Yes
(F3,E)
6
No
(F3,E)
Table 6. Status Activity Demonstration e6
S.No
Status
Fuzzy
soft set
1
Yes
(F1, E)
2
No
(F1,E)
3
Yes
(F2,E)
4
No
(F2,E)
5
Yes
(F3,E)
6
No
(F3,E)
The data in the table are self-explanatory and we
likewise used this innovation and client input six
boundaries, which educated the indications regarding
COVID-19 in individuals to the android application
introduced regarding the matter's cell phone.
Positions of the people are recorded using GPS
Coordinates to display their latitude and longitude for
further analysis.
The distance d1 between
( , )iixy
and
''
( , )iixy
is
defined as follows:
22
''
1
1
i i i i
n
i
d x x y y
The Similarity calculation between data points xi,xj
:
S(i,j)= −||xi – xj||2
Figure 2 shows the distance calculations that the
likenesses between two sets ((F1, E) and (F3, E)) of
indications are most extreme, in this way, we
presume that the individual is conceivably
experiencing COVID-19.
Figure 3 shows the similarity calculations between
two sets i.e. ((F1, E) and (F3, E)). In this, it is observed
the similarity between these sets.
Engineering World
DOI:10.37394/232025.2024.6.1
Swatantra Kumar Sahu, Neeraj Sahu, Brijesh Bakariya
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Volume 6, 2024
Fig 2: Distance measurement between two sets
Fig 3: Similarity measurement between two sets
4 Conclusion
During the COVID-19 outbreak, our work is a very
new and effective measure because it is entirely
based on earth position value and mobile technology.
We know that today a mobile phone is an essential
part of our daily routine life and more than 70%
person use a mobile phone India. Like a word
association theory of psychology, using a mobile
there may be information transfer between a mobile
phone and its COVID-19 volunteer. So, we can say
that our GPS Coordinates latitude and longitude
provide a solution to safety and security to the people.
In some cases where identification is hardly available
due to conditions as COVID-19 being positive in a
public place and the possibility are very high to
spread so identification and separation are required
from public places and identified persons that is very
harmful to the public health.
Acknowledgement:
This research is at G H Raisoni University Amrawati,
Maharashtra India. The authors would like to thank
VC and referees for their helpful Staff.
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0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0,45
d2 d3 d4 d5 d6
Distance
di((F1,E),(F2,E)) di((F1,E),(F3,E))
0
0,2
0,4
0,6
0,8
1
s2 s3 s4 s5 s6
Similarity
si((F1, E), (F2, E)) si((F1, E), (F3, E))
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DOI:10.37394/232025.2024.6.1
Swatantra Kumar Sahu, Neeraj Sahu, Brijesh Bakariya
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The authors equally contributed in the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare
that are relevant to the content of this article.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
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DOI:10.37394/232025.2024.6.1
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