Analisis Dinamik pada Model Kanker Serviks dengan Vaksinasi dan Screening

Kristanti, Karunia Theda; Trisilowati, Trisilowati; Widodo, Agus

doi:10.12962/limits.v17i2.6901

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The model to be built is in the form of a five-dimensional system of differential equations. The model is a modification of the mathematical model of the spread of disease that is commonly used, namely the SIR model with assumptions from the model built by Hasnawati (2017) and Kristanti (2020).…”

Section: Figure 1 Flowchart Of Dynamic Analysis Process Research Methodsmentioning

confidence: 99%

“…Thus the interpretation is obtained that cervical cancer will persist in this population. Kristanti (2020) builds a mathematical model of the spread of cervical cancer which includes vaccination and early detection. This model describes the process of infection that occurs due to direct contact through sexual intercourse between susceptible women and infected men and vulnerable men with infected women.…”

Section: Preliminarymentioning

confidence: 99%

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Dynamical Analysis Of Cervical Cancer Disease Model With Treatment

Darajat

2023

Mathline

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This study proposes a model of cervical cancer due to infection with the Human Papilloma Virus (HPV). Various new assumptions are considered to get the model as ideal as possible. Among them, the transmission process depends on interactions with individuals infected with HPV, and the chance of cure is quite high with treatment. In this case, treatment can be in the form of radiotherapy, chemoradiation, chemotherapy, and palliative care. Five subpopulations were constructed, namely the subpopulation of susceptible individuals (S), the subpopulation of vaccinated individuals (V), the subpopulation of individuals infected with HPV (H), the subpopulation of individuals with cervical cancer (K), and the subpopulation of cured individuals (R). The model is formed into a five-dimensional nonlinear differential equation system. Dynamic analysis is carried out by determining the model’s equilibrium point and the conditions for the existence and local stability of the equilibrium point. The results of the analysis show that the system has two equilibrium points, namely the disease-free equilibrium point and the endemic equilibrium point. The disease-free equilibrium point exists unconditionally and is shown to be stable under certain conditions. The endemic equilibrium point exists fR_0>1 and is unstable because it has positive eigenvalues. Thus, based on the model that has been formed, the spread of cervical cancer can be controlled with treatment and the number of individuals being vaccinated is increasing.

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Section: Figure 1 Flowchart Of Dynamic Analysis Process Research Methodsmentioning

confidence: 99%

Section: Preliminarymentioning

confidence: 99%

Dynamical Analysis Of Cervical Cancer Disease Model With Treatment

Darajat

2023

Mathline

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Potency of active compounds extract of soursop leaves (Annona muricata) as a candidate for cervical cancer drug in Silico

Afnani,

Emilia,

Damayanti

et al. 2024

E3S Web Conf.

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Cervical cancer is a cancer caused by an infection derived from the Human Papillomavirus (HPV) that proliferates in the cervical mucosa. Cervical cancer ranks among the two highest incidences experienced by women, with 23.4% and an average death rate of 13.9%. Vascular endothelial growth factor (VEGF) is an important protein that plays a role in the pathology of angiogenesis in tumor growth and metastasis. Various efforts have been made to minimize mortality from cervical cancer, but they have caused side effects. Indonesia is rich in a diversity of flora that has the potential to be used as a natural medicine, for example, soursop leaves (Annona muricata). The study aimed to predict the compound extract of soursop leaves as a candidate drug for cervical cancer based on a silico approach. The prediction of phytochemical properties is made based on the five laws of Lipinski as seen from the values of absorption, distribution, and metabolism with Swiss ADME. The in-silico method was conducted with the assistance of computer devices, databases, and software like Autodock, PyRx, PyMol, and Discovery Studio. The target proteins used are VEGFR1 (PDB: 3HNG) and VEGFR-2 (PDB: 3VHE). The results showed that kaempferol, sativene, and thiazole-2,4(3H,5H)-dione, 5-benzylideno-3-[(ethylphenylamino)methyl] meet the five laws of Lipinski. The compound kaempferol has the lowest binding affinity, with a value of -8.5 kcal/mol on VEGFR-1 and -10.2 kcal/mol on VEGFR-2. On the other side, sunitib interactions with VEGFR-1 were -10.0 kcal/mol and -9.4 kcal/mol, respectively. Based on the results, can be concluded that kaempferol has a high potential to be a drug candidate for cervical cancer.

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Analisis Dinamik pada Model Kanker Serviks dengan Vaksinasi dan Screening

Cited by 2 publications

References 3 publications

Dynamical Analysis Of Cervical Cancer Disease Model With Treatment

Dynamical Analysis Of Cervical Cancer Disease Model With Treatment

Potency of active compounds extract of soursop leaves (Annona muricata) as a candidate for cervical cancer drug in Silico

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