2020
DOI: 10.1134/s2070048220040067
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Development and Analysis of a Mathematical Model for the Population Dynamics of Diabetes Mellitus During Pregnancy

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Cited by 20 publications
(10 citation statements)
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“…i.e., the solutions of Model (2.1) are always non-negative. Alternatively, the general solution of initial value problems for the non-homogeneous constant coefficient linear system is given by variation of constants formula [14] x i = e At x i (0) + e At t 0 e −As c i ds.…”
Section: Positivity and Boundedness Of The Solutionsmentioning
confidence: 99%
See 2 more Smart Citations
“…i.e., the solutions of Model (2.1) are always non-negative. Alternatively, the general solution of initial value problems for the non-homogeneous constant coefficient linear system is given by variation of constants formula [14] x i = e At x i (0) + e At t 0 e −As c i ds.…”
Section: Positivity and Boundedness Of The Solutionsmentioning
confidence: 99%
“…Unlike infectious diseases, mathematical modelling is seldom applied to NCDs. It has been shown recently that the population dynamics of NCDs can be described and are better modelled by linear systems [2,[11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%
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“…In 2021, Avendaño-Valencia et al [13] developed a video-based eye-tracking method with the help of a Heteroscedastic Auto-Regressive with eXogeneous input model for detection of diabetes complications associated with the nervous system. Some of the previous diabetic population models were governed by ordinary differential equations [14][15][16][17][18][19][20][21]. These ordinary differential equations models considered the progression of diabetes instantaneously.…”
Section: Introductionmentioning
confidence: 99%
“…They proposed to study an optimal control approach with delay in state and control variables in a discrete mathematical model of kouidere et al [5], that time with delay represent the measuring the extent of interaction with the means of treatment or awareness campaigns. Also, many researches have focused on this topic and other related topics, and Sweatman et al [14] introduce a mathematical model of diabetes and dietrelated lipid metabolism, leptin sensitivity, insulin sensitivity and VLDLTG clearance predict pathways to health and type II diabetes, and also Auni Aslah Mat Daud et al [46] proposed a mathematical model of the population dynamics of DM during pregnancy is developed and analyzed. Four independent variables have been considered, namely the numbers of nonpregnancy nondiabetic women, diabetic nonpregnant women, diabetic pregnant women and diabetic pregnant women with complication.…”
Section: Introductionmentioning
confidence: 99%