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This work shows how to drastically reduce infection of a disease adopting Engineering approaches vis-a-vis integration, differentials, and probabilities.

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Volume 5, Issue 6, June – 2020 International Journal of Innovative Science and Research Technology
ISSN No:-2456-2165

Palliative Care and COVID-19 Modeling
A Systematic model of Entrepreneurs living in area'X' in Nigeria.
Kolawole Peter Akeredolu, Nigeria.


Abstract:- This work provides a simplified approach to III. RESULTS
Palliative care and disease modeling using the methods
of Partial Differential Equations, Probability and  Sub-Groups
Integration. A1 =Pub (beer parlor) owners.
A2 =Super market owners.
It gives us a picture of how a particular group of A3 =Farm owners.
Entrepreneurs who are engaged in different business
activities was further divided into three sub-groups.  Assumptions
1.) Each Sub-Group population=1000 People.
The conclusion part of this work describes 2.) Activities=Spread rates.
extensively the benefits of disease modeling in terms of 3.a.)A1 Spread Rate at an instant time (t)=500 out of 1000.
Human's economic development and soundness of 3.b.)A2 Spread Rate at an instant time(t)=300 out of 1000.
Health. 3.c.)A3 Spread Rate at an instant time(t)=200 out of 1000.
4.) Z1,Z2, Z3 are Spread Rates at instant time(t) for A1,
While it recommends the adoption of disease A2, A3.
mathematical modeling as a contingency when 5.) R=Palliatives (Testing, Foods and Basic needs, Soaps,
considering Government's timely interventions to the Hand sanitizers, Personal Protective Equipments,Grants
People and Resource Management as it facilitates other and Loans,etc).
disease modeling techniques such as Statistical and
Economic.  Initial Conditions
A1(0)=A2(0)=A3(0)=1000.
#Sub-
groups#InitialConditions#PalliativeCare#COVID-19  Partial Differential Equations
Modeling#Benefits#Economy#Testing#Recovery 1.)ӘA/Әt=[ӘA1/Әt1+ӘA2/Әt2 +ӘA3/Әt3]
rates#R(t)=R(0)e^kt 2.)ӘR/Әt =[ӘR1/Әt1+ӘR2/Әt2 +ӘR3/Әt3].

 Background of Study:  Probability of spread:
Recently, COVID-19 has become the Spotlight of P(A1)=SpreadRateattime(t)/A1Population=Z1/A1(0)=500/
what to model among the Engineers and Scientists as 1000. =0.5
regards the peculiarities of diseases ravaging the social P(A2)=Spread Rate at time
system and it has now became imperative to in-put our (t)/A2Population=Z2/A2(0)=300/1000=0.3
concerted efforts to get over this Challenge. P(A3)=Spread at time (t)/A3 Population
=Z3/A3(0)=200/1000 =0.2
I. INTRODUCTION
 Comments on the PDE and Probability methods.
In this work, I shall describe ' in section 2.1',the  The PDE 1 and 2 was employed to determine what
solutions to COVID-19 Spread and it's impacts on people group of people to give what palliative at what time .
using the available mathematical tools and some verifiable  The Probability method tell us what degree of attention
assumptions. or quantity of palliatives to give the known group of
people at this time.
Also in the later section,I will conclude with the
importance of disease mathematical modeling.  Constant of Integration
The nature of constant of Integration depends on what
II. METHODS more or less palliatives to give a particular group at a given
time (t).
Sources:
Sub-grouping. Entrepreneurs in area'X'in Nigeria This constant is denoted by [k, -k]. whichever case we
Tools. Wikipedia and Library are dealing with at this time (t).




IJISRT20JUN834 www.ijisrt.com 1480

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