MATHEMATICAL MODELING OF CANCER PROGRESSION AT ANGAU MEMORIAL PROVINCIAL HOSPITAL

Abstract

The spread of cancer is still an important health concern in Papua New Guinea since it is becoming more common and causes deaths because of delay treatments, not enough testing, and a lack of treatment choices. In order to avoid this sickness of life to live longer, it is very important to avoid risk factors like smoking of tobacco, chewing of betel nuts, getting infected by bacteria and not complete treatment rates which includes cervical, breast, oral, vaginal, and kidney cancers. There are still important ways for early detection of a cancer patient, public awareness, or people’s power despite recent developments, such as the spread of cancer with radiation treatment facilities or the new formation of cancer treatment inside health Department Programs in the Province.

Decreasing the way of drinking medication leads to common cancers including the breast, oral, or cervical tumors are often occurred because of not avoiding risk factors as illness becomes as common sickness for ordinary people. Such still remained as the common problems yet to be solved, especially in rural areas where access to health services is less due to transportation and roads, even though people are learning because of slow developments, yet the assessment, or treatments of tumor growth rate throughout Papua New Guinea in particular has the outcome of both systematic health care limitations and growing weight for someone with cancer. Because according to the significant part of common habits of chewing of betel nut products, oral tumor rates stands-out among the as largest through the world, however cervical cancer also continue to be the main cause of most common cause of cancer-related deaths amongst many women in today’s society.

This research is carried out to model the cancer progression in Angau Memorial Provincial Hospital using two equations, Gompertz modeling for dynamic tumor growth and (Two-compartments) for modeling. The key objectives of this research are basically to see how the two equations can be used to model the treatment response, cancer cell population and how the immune system respond to medication. nevertheless, some important options for improvements have been given by new programs including specialized screening measures and World Health Organization cancer protective measure and basically this research is carried out to predict whether there will be an increasing progression of cancer in the future leading to more death rates or there will be a decreasing case of cancer resulting in less death rates.