Don harps on mathematical modelling in predicting human health

Don harps on mathematical modelling in predicting human health
NAN-HG-5
Prediction
By Aminu Ahmed Garko
Minna, Nov. 1, 2017 ( NAN) Prof. Usman Abubakar of the Department of Mathematics, Federal University of Technology, Minna, says mathematical modelling can contribute in predicting human health and environmental conditions.
Abubakar said this in a statement made available to the News Agency of Nigeria (NAN) on Wednesday by the Public Relations Office of the university.
It quoted the don as saying this at the 57th Inaugural Lecture of the university in Minna.
The lecture was titled: “Predictive Stochastic Modelling Of Leprosy Disease, Human Health Condition And Desertification In Nigeria: The Untapped Open Secret Ingredients”.
Abubakar disclosed that he had through mathematical modelling, studied the leprosy disease and human health condition focusing on the stages when patients were under treatment, recovered, relapsed or died due to the disease, it said.
The statement added the don also predicted the levels of likelihood of having leprosy patients with grade one and grade two disabilities, just as he had studied blood inventory in General Hospital, Minna, and human daily health condition.
On desertification in Nigeria, Abubakar applied mathematical modelling through which he projected the amount of land lost in the savannah region of the country, according to the statement.
The lecturer, however, observed that there was a gap between mathematical model builders and the intended model users, due largely to the inability of the latter to understand fundamental mathematics.
He therefore called on government and non- governmental organisations to extensively utilise the quantitative information emanating from mathematical models.
The Vice-Chancellor of the University, Prof. Musbau Akanji, commended Abubakar for his efforts and thanked members of the university community and the general public for attending the lecture. (NAN)
AAG/MST
Edited by Muhammad Suleiman Tola