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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Mathematical Modeling of Rhesus Agglutinogen Dynamics in the Human Population</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Olena Kiseleva</string-name>
          <email>kiseleva47@ukr.net</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oleksandr Kuzenkov</string-name>
          <email>kuzenkov1986@gmail.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sergiy Yakovlev</string-name>
          <email>s.yakovlev@khai.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>National Aerospace University “Kharkiv Aviation Institute”</institution>
          ,
          <addr-line>Kharkiv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Oles Honchar Dnipro National University</institution>
          ,
          <addr-line>Dnipro</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The work is devoted to the development of a research methodology for one class of degenerate biological models. The work examines the critical states of systems consisting of several subpopulations, as well as the conditions under which bifurcations (catastrophes) are possible in the system.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Mathematical modeling</kwd>
        <kwd>Rhesus factor</kwd>
        <kwd>bifurcation</kwd>
        <kwd>1 human population</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>The Rhesus factor, aF one of the quality indicators of blood, was first identified during the study of
the body of the Rhesus monkey. Rhesus factor is an antigen (protein) located on the surface of red
blood cells (erythrocytes). Scientists Landsteiner (Nobel prize winner for the discovery of the blood
group) and Wiener found it about 55 years ago. Their discovery helped establish that about 85% of
people have the Rh factor and are therefore Rh-positive, while the other 15% who do not have it
are Rh-negative. For the most part, neither a positive nor a negative Rh factor poses any threat to a
person.</p>
      <p>To understand the reasons for the phenomenon discussed above, consider a separate couple of a
man and a woman, in which the man is Rh-positive and the woman is Rh-negative. In this case,
theoretically, a Rhesus conflict between the organism of the mother and the child is possible. It
begins when the child imitates the Rh factor of the father, which happens in most cases, because
this genetic information is contained directly in the sperm shell. If the Rhesus gene is inherited
from the father, the baby's blood in the mother's womb will become incompatible with her blood.</p>
      <p>The essence of the conflict is that the Rh factor of the fetus, passing through the placental
barrier, enters the blood of the mother, her body, perceiving the fetus as a foreign body, produces
protective antibodies (bilirubin). Bilirubin can affect the brain of the unborn child and cause
hearing and vision defects in it. At the same time, since the number of fetal erythrocytes
continuously increases, the liver and spleen, trying to quickly produce red blood cells, increase
significantly in size. Over time, the content of erythrocytes and hemoglobin in the child's blood
decreases and their level becomes dangerously low. Rh-conflict can sometimes cause dropsy in
children or a tumor of the fetus, lead to a fatal case in an infant.</p>
      <p>During the first pregnancy, Rhesus conflict develops quite rarely, because the mother's immune
system encounters foreign erythrocytes (red blood cells) for the first time, and, accordingly, the
mother's body produces few antibodies that are unfavorable for her baby. With the next pregnancy,
the probability of a threat during the conflict increases significantly. Since the antibodies are still in
the woman's blood, they break through the placental barrier and begin to destroy the red blood
cells of the unborn baby.</p>
      <p>The mass share of people with a positive Rh factor is approximately 85% of the total population
of the planet, respectively, 15% of representatives of the Rh − race. It is clear that if Rh +
representatives were determined only by a combination of dominant alleles YY , the frequency of
0000-0003-4303-1707 (O. Kiseleva); 0000-0002-6378-7993 (O.Kuzenkov); 0000-0003-1707-843X (S. Yakovlev)
© 2023 Copyright for this paper by its authors.</p>
      <p>Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).</p>
      <p>CEUR Workshop Proceedings (CEUR-WS.org)
birth of babies with Rh − would be (0,15)2 = 0,0225 an order of magnitude less than known
statistical data. And therefore, among the representatives there are individuals represented by a
mixed genotype Yy , but at the same time have phenotypic features of the subpopulation Rh + .</p>
      <p>Applied problems, for which the mathematical model of intergroup interactions [3], [5-6] is
applicable, take place in various fields of science, such as genetics [4], biology, demographic studies
[7], ecology, etc.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Problem statement</title>
      <p>Consider an Rh-positive person as two possible combinations:
• two dominant genes YY and a combination of a dominant and a recessive gene Yy, the
subgroups corresponding to them will acquire the values x1, x2, respectively;
• Rh-negative people represented by a set of two recessive genes yy and subgroup x3.</p>
      <p>From now on, we will consider the system of interaction of two genomes - positive and negative
Rh. Suppose that we have 100 people in a certain spatial area, 85 of whom are Rh+, and 15 are Rh-.
In the corresponding system, there are 200 genes, 30 of which are recessive and are represented by
the x3 subpopulation. And the total number N of the recessive gene y must satisfy the condition
(N/200)^2=0.15. It is easy to show that the number of recessive genes will be N=77.5, 30 of which
are represented by Rh-negative people with the yy gene combination. Therefore, in order to
maintain the ratio (Rh+)/(Rh-)=85/15, there must be 15% Rh-negative people with the yy genome,
47.5% Rh+ people with a mixed Yy genotype, and 37.5% Rh+ and combination of the YY genome.</p>
      <p>The main tasks of the study are:
• development of a mathematical model of Rhesus agglutinogen dynamics among the human
population;
• identification of parameters and initial conditions of the mathematical model
• resolution of the numerical experiment
• analysis of the obtained results</p>
    </sec>
    <sec id="sec-3">
      <title>3. Mathematical modeling</title>
      <p>
        The research is based on the idea of a population as a set of individuals, which can be conditionally
divided into n subpopulations that are genetically more or less homogeneous, but differ
significantly from each other. They are not reproductively isolated, and there is a certain
probability of the offspring of an individual from the i-th subpopulation entering the j-th
subpopulation. The differential model of the system can be written in a general form as follows [1]:
dx j =  Aji  fi (x) , j = 1, n , (
        <xref ref-type="bibr" rid="ref1">1</xref>
        )
      </p>
      <p>n
dt i=1
where xj is the size of the j-th subpopulation, and fi(x) is a function describing the total
reproductive capabilities of the i-th subpopulation, and Aji is the proportion of the offspring of the
i-th subpopulation that goes to the j-th.</p>
      <p>We assume that for any i
where ai reflects the reproductive capabilities of the subpopulation with the index i and K is the
capacity of the habitat of the population.</p>
      <p>
        According to (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ), the growth of a subpopulation approaches zero in the case when its
number approaches zero or when the total number of all subpopulations approaches the maximum
possible ecological capacity of the environment K.
      </p>
      <p>
        The system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) is not Voltaire in the sense that its trajectories can cross the coordinate axes
and, for example, the local behavior of the system in the vicinity of the coordinate origin is
determined by its properties not only in the first quarter.
      </p>
      <p>
        To study the equilibrium points [2] of the system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ), we use the standard Lyapunov
analysis. It is easy to see that one of the equilibrium points is the zero point (origin of coordinates).
      </p>
      <p>
        In addition, there is an infinite number of equilibrium points that lie on the plane
 xi = K . (
        <xref ref-type="bibr" rid="ref3">3</xref>
        )
      </p>
      <p>i</p>
      <p>The nature of the location of the equilibrium points is quite natural from an ecological point of
view. Of course, in the case of a complete absence of individuals of this species, they cannot arise
from nothing. If the subpopulations occupy the same ecological niche and do not differ in the
resources they consume, their arbitrary distribution of numbers in this niche is balanced.</p>
      <p>
        Theorem 1. The system (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) is degenerate in the neighborhood of singular points of the
stationary hyperplane (
        <xref ref-type="bibr" rid="ref3">3</xref>
        ).
      </p>
      <p>
        Proof. The general form of the i-th component of the Jacobian matrix of systems (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) is as
follows:
Since J ij does not directly depend on j , is valid
from which it follows that the column vectors of the Jacobian matrix are linearly dependent,
      </p>
      <p>Det(J ) = 0 ,
and therefore the system is degenerate at singular points of the stationary hyperplane
n
 xi = K .</p>
      <p>i=1
The theorem is proved.</p>
      <p>
        We consider the model of Rhesus agglutinogen dynamics in the form of a system of intergroup
dynamics (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ) with a logistic function (
        <xref ref-type="bibr" rid="ref2">2</xref>
        ) in basic quality, which in the case will take the form

x1 = (a1 A11x1 + a2 A12x2 + a3 A13x3 )1− x1 + x2 + x3 
  K 
x2 = (a1 A21x1 + a2 A22x2 + a3 A23x3 )1− x1 + x2 + x3  .


  K 

x3 = (a1 A31x1 + a2 A32x2 + a3 A33x3 )1− x1 + x2 + x3 
  K 
(
        <xref ref-type="bibr" rid="ref4">4</xref>
        )
      </p>
    </sec>
    <sec id="sec-4">
      <title>4. Solving of the problem</title>
      <p>
        When determining the coefficients Aij of system (
        <xref ref-type="bibr" rid="ref4">4</xref>
        ), we will be guided by known data on the
equilibrium distribution of subpopulations of people with different indicators of the Rh factor. The
coefficient Aij should be proportional to the mass fraction of the j-th subpopulation in the
equilibrium distribution x1 : x2 : x3 = 37,5 : 47,5 :15 and the mass fraction of the increase of the
subpopulation with the index i during interaction with other subpopulations. The structure of the
corresponding interaction is presented in Table 1.
      </p>
      <p>Taking into account the peculiarities of the interaction of Rhesus-agglutinogen among the
human population and the stationary distribution x1 : x2 : x3 = 0,375 : 0,475 : 0,15 , the parameters of
the growth rate will be presented in the following form:
where ai is the reproductive potential of the i-th subpopulation;</p>
      <p>Fi [0;1] - probability of Rhesus conflict;
Qi - compatibility of the i-th subpopulation in the equilibrium distribution.</p>
      <p>_____
The values of parameters Fi , ai , i = 1,2,3 are as follows:</p>
      <p>F1 = 0,34 , F2 = 0,17 ,</p>
      <p>F3 = 0 ,
a1 = 0,66 ,
a2 = 0,83 ,
a3 = 1 .</p>
      <p>Proceeding from the provisions set out above, as well as from the assumption that the capacity
of the area of human existence is limited to some finite value (this value is in most cases sufficiently
large compared to the value of the initial conditions).</p>
      <p>The range capacity value was conditionally chosen equal to 100. We have a differential model of
the dynamics of the Rhesus factor among the human population in the following form:
 dx1 = (0,67 x1 + 0,18x2 ) 1 − x1 + x2 + x3 </p>
      <p>
 dt  100 </p>
    </sec>
    <sec id="sec-5">
      <title>5. Numerical results</title>
      <p>In Figure 1 presents the dynamics of the system with rather small compared to the parameter K
and different initial conditions. As we can see, with the passage of time, not only is the numerical
priority of the respective subpopulations established, but also the final ratios are almost
indistinguishable from each other.
b) x10 = 1,00; x20 = 2,00; x30 = 3,00</p>
      <p>Note that in real ecological systems, the initial number of subpopulations can be arbitrary and
even exceed the range's capacity.</p>
      <p>Another factor of the system, on which the end point on the attractor significantly depends, are
its parameters. Figure 2 shows the diagram of the dependence of the final equilibrium point on the
coefficients A33 of the system and a3 respectively.</p>
      <p>a)
a)
b)
b)</p>
      <p>When the coefficient A33 (Figure 2a) changes, the relative share of the third subpopulation
increases exponentially. Moreover, not only the first, but also the second derivative of the
corresponding curve reaches a positive value. The other two curves, gradually decreasing, maintain
a proportional relationship between them. It can be concluded that the transition coefficients in
general and in particular A33 are such parameters of the system that have a significant impact on
its dynamics, therefore, by influencing them, it is possible to effectively control the system.</p>
      <p>The graph (Figure 2b) illustrates the change in the end point of equilibrium when the parameter
a3 changes. The end point clearly depends on the propagation speed parameter ai , but it varies
only within certain limits. Despite the fact that the influence of the system coefficients is quite
significant, the topology of the phase portraits does not undergo significant changes. Such changes
occur only when parameters pass through bifurcation values, along with a qualitative change in the
topological structure of the system's phase portrait.</p>
    </sec>
    <sec id="sec-6">
      <title>6. Conclusions</title>
      <p>Based on a mathematical model of subpopulation dynamics with a logistic function as a basic
quality, the system of Rhesus agglutinogen dynamics among the human population was
investigated. The applied part of the problem is studied in detail, as a result of which an applied
interpretation of the equilibrium points of the model is given and a methodology for parameter
identification is proposed. A number of model stability studies were conducted, the results of which
showed that the mathematical model of Rhesus agglutinogen dynamics is sufficiently resistant to
disturbances and external influences.</p>
      <p>It was found that t →  the ratio of people with different indicators Rh does not significantly
depend on the initial state of the system (initial ratio of numbers of subpopulations). The
dependence of the final ratio of subpopulations of people with different indicators Rh on the
reproduction rate coefficients and transition coefficients was investigated. According to the
research results, it can be stated that the transition coefficients are decisive for the system, and
when the growth rate coefficient changes, the dynamic changes, but the phase portrait of the
system can undergo irreversible changes only when its sign changes.</p>
    </sec>
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