Local Stability of Equilibrium Points of a SIR Mathematical Model of Infectious Diseases

In this paper, we studied a SIR mathematical model of infectious diseases. We formulate a theorem on existence and uniqueness of solutions and establish the proof of the theorem We showed that the model has two equilibrium points: disease-free and endemic equilibrium. Local stability of the equilibrium points was obtained using reliable Jacobian matrices and basic reproduction number (R0). The analysis reveals that the disease- free equilibrium is locally asymptotically stable if R0 lt1, the infection is temporalwill disappear with time. On the other hand, if nbspR0 gt1, the number of infections rises, an epidemic results and the nbspendemic equilibrium is locally stable.nbspnbs

Oral health awareness, practices and status of patients with diabetes attending a tertiary health institution in Nigeria

Background: Despite the reported increasing prevalence of diabetes mellitus, very few studies have documented report on oral health awareness and oral health conditions of individuals with diabetes mellitus from our environment. Thus this study aimed at assessing the oral health awareness, practices and status of individuals with diabetes mellitus attending a tertiary health facility in Nigeria.Methods: A cross sectional survey of 143 patients with diabetes attending the medical outpatients' clinic of the hospital. Information was obtained from participants using pretested structured questionnaires and oral examination. Tests of associations were determined using Chi-square and student t test.Results: One-fifth (20.3%) of the respondents were aware of good oral health preventing oral diseases in diabetes. Thirty-five (24.5%) knew that diabetes could worsen oral health condition and only 3 (2.1%) could correctly explain the association between diabetes and oral health conditions. Forty-three (30.1%) had participated in an oral health education program focused on diabetes and oral health. The majority (88.6%) had calculus accumulation while none had a healthy periodontium.Conclusion: Oral health awareness, practices and status of patients with diabetes were poor in our environment. Thus, these individuals need to be better informed of the relationship between oral health and diabetes.Keywords: Oral disease; diabetes; awareness; oral health educatio

Defeating the Credit Card Scams Through Machine Learning Algorithms

Credit card fraud is a significant problem that is not going to go away. It is a growing problem and surged during the Covid-19 pandemic since more transactions are done without cash in hand now. Credit card frauds are complicated to distinguish as the characteristics of legitimate and fraudulent transactions are very similar. The performance evaluation of various Machine Learning (ML)-based credit card fraud recognition schemes are significantly pretentious due to data processing, including collecting variables and corresponding ML mechanism being used. One possible way to counter this problem is to apply ML algorithms such as Support Vector Machine (SVM), K nearest neighbor (KNN), Naive Bayes, and logistic regression. This research work aims to compare the ML as mentioned earlier models and its impact on credit card scam detection, especially in situations with imbalanced datasets. Moreover, we have proposed state of the art data balancing algorithm to solve data unbalancing problems in such situations. Our experiments show that the logistic regression has an accuracy of 99.91%, and naive bays have an accuracy of 97.65%. K nearest neighbor has an accuracy is 99.92%, support vector machine has an accuracy of 99.95%. The precision and accuracy comparison of our proposed approach shows that our model is state of the art

Characterization of lipid parameters in diabetes mellitus – a Nigerian report

<p>Abstract</p> <p>Background</p> <p>Diabetes mellitus (DM) is a disorder that is often associated with cardiovascular events and underlying lipid abnormalities. Cardiovascular complications are common causes of DM deaths in Nigeria yet dyslipidaemia is one aspect of DM that is underdiagnosed and undertreated in our patients. This report seeks to determine the prevalence and pattern of lipid abnormalities in Nigerians with types I and 2 DM.</p> <p>Methods</p> <p>A total of 600 patients with DM aged between 22 – 79 years were evaluated for lipid abnormalities. The anthropometric indices, glycosylated haemoglobin, pattern of DM treatment and co-morbidities were noted. Total cholesterol (TCHOL), triglyceride (TG), high density lipoproteins (HDL-C), low density lipoproteins cholesterol (LDL-C) levels and the atherogenic indices levels were documented. Test statistic used included student's t test and χ².</p> <p>Results</p> <p>Well over half (89%) of the study subjects had lipid abnormalities and there was no statistically significant difference in the proportions of subjects with type 1 and 2 DM with lipid abnormalities. Elevated LDL-C, TCHOL, TG and reduced HDL-C were noted in 74%, 42%, 13%, and 53% respectively of the study subjects. The commonly noted combined lipid abnormalities were elevated TG and reduced HDL-C. Hypertension, significant histories of smoking and alcohol ingestion were found to be potential determinants of the occurrence of dyslipidaemia. Age, sex, type of DM and anthropometric indices were found to be determinants of the the pattern of dyslipidaemia. Only a small proportion – (8%)-of the subjects with dyslipidaemia were on treatment for it.</p> <p>Conclusion</p> <p>Having defined the scope of dyslipidaemia in our patients and also highlighting its gross undertreatment, we hope that our data will help sensitize health care practitioners on screening for and treating dyslipidaemia. Elevated LDL-C and reduced HDL-C should be the primary targets of treatment in our patients with dyslipidaemia.</p

Clinical outcomes in hypertensive or diabetes patients who concomitantly use complementary medicines in Lagos, Nigeria

Background: The use of complementary medicines in addition to medical prescription by patients with hypertension, diabetes and other chronic diseases presents a challenge for healthcare providers in Nigeria and globally. There is very little data on the clinical outcomes in these patients.Objectives: To evaluate clinical outcomes in hypertensive or diabetic patients who use complimentary medicines in Lagos Nigeria .Design: Observational cross-sectional study.Setting: Lagos University Teaching Hospital Medical Outpatient Clinics.Subjects: Five hundred patients attending Lagos University Teaching Hospital Medical out-patient clinics with a diagnosis of diabetes mellitus or hypertension or diabetic hypertensive were studied.Main outcome measures: The effect of complementary medicines use on blood pressure and blood glucose control were evaluated.Results: The mean arterial blood pressure of non-users of complementary medicine was 115.329 mmHg and that of users was 105.138mmHg. Also the mean fasting blood sugar of non-users was 129.515mg/dl and that of users was 131.453mg/dl. (P&gt;0.05).Conclusion: Although not statistically significant, complimentary medicines were found to be of advantage to hypertensive patients but not diabetic patients

Context-Aware Driver Distraction Severity Classification using LSTM Network

Advanced Driving Assistance Systems (ADAS) has been a critical component in vehicles and vital to the safety of vehicle drivers and public road transportation systems. In this paper, we present a deep learning technique that classifies drivers’ distraction behaviour using three contextual awareness parameters: speed, manoeuver and event type. Using a video coding taxonomy, we study drivers’ distractions based on events information from Regions of Interest (RoI) such as hand gestures, facial orientation and eye gaze estimation. Furthermore, a novel probabilistic (Bayesian) model based on the Long shortterm memory (LSTM) network is developed for classifying driver’s distraction severity. This paper also proposes the use of frame-based contextual data from the multi-view TeleFOT naturalistic driving study (NDS) data monitoring to classify the severity of driver distractions. Our proposed methodology entails recurrent deep neural network layers trained to predict driver distraction severity from time series data

Diabetes Care in Nigeria

Background: Diabetes is a noncommunicable disease that has attained great significance in the sub-Saharan region, with Nigeria being the most affected. Many persons with the condition suffer a reduced life expectancy and quality of life. Diabetes places an extra burden on the individuals and families affected, especially for the majority of patients unable to access quality health care. Objective: To describe the elements of diabetes management in Nigeria, areas for improvement, and proposed strategies to optimize care. Methods: A systematic literature search was performed on diabetes in Nigeria. Local and nonindexed literature, PubMed, and Google Scholar were used to source information on the subject. Findings: Diabetes-related morbidity and mortality continue to increase due to population expansion, urban migration, declining physical activity, and dietary factors. The organization of diabetes care is poorly coordinated, especially at the primary and secondary tiers of the public health care system, with consequent poor outcomes. Thus life expectancy (just about 50 years), which is low in the region, is further reduced by the double jeopardy of communicable (eg, tuberculosis, HIV/AIDS, and malaria) and noncommunicable diseases, such as diabetes and its closely related comorbidity, hypertension. Conclusions: The way forward is to improve maternal and child care, promote screening of at-risk populations, and develop strategies for primary prevention and early intervention to optimize glycemic control. Greater commitment to health care by the government and nongovernmental organizations and greater awareness by Nigerians should facilitate the desired improvements in disease prevention and glycemic control in those who are already affected

Prevalence of obesity and ethno-geographic variation in body sizes of Nigerians with type 2 diabetes mellitus - a multi-centre study

BACKGROUND: Excess weight gain is common in people with type 2 diabetes mellitus (DM) but little is known about its ethno-geographic variation among the Nigerian populace. We aimed to report the prevalence and regional variation of overweight/obesity among subjects with type 2 DM in all the six geo-political regions of Nigeria.METHOD: Basic demographic and anthropometric data were consecutively collected from patients with type 2 DM attending out-patient clinics of seven designated teaching hospitals in the six geographic regions of the country using a pre-agreed method of measurement of anthropometry including waist circumference. The study was hospital-based descriptive cross-sectional in design. Body Mass Index (BMI) was categorised using the WHO criteria. Based on recommendations of the International Diabetes Federation (IDF) cut-off values for waist circumference, values &gt;94 cm and &gt; 80 cm were taken as abnormal for men and women respectively.RESULTS: A total of 709 subjects with DM comprising 378 (53.3%) females and 331 (46.7%) males (female: male ratio 1:1.14) with an overall mean age (SD) of 51.9 (13.9) years were evaluated. The prevalence of excess body weight among Nigerian subjects with type 2 DM was: peripheral (417 or 58.8%) and abdominal obesity (449 or 63.3%). Also, there was a significant wide variation in excess weight gain (both peripheral and central) across ethno-geographic regions (p=0.001) and between both sexes (p=0.001). In both peripheral and abdominal obesities, whether intra or inter centres, the female subjects with type 2 DM demonstrated relatively higher proportions of anthropometric measures. Generally, subjects from south-south and south-east Nigeria had higher BMI and abdominal obesity compared to those from south-west who had the lowest. The female subjects with type 2 DM were heavier peripherally and centrally compared to their male counterparts.CONCLUSION: The prevalence of peripheral and central obesity among Nigerians living with type 2 DM (especially the female subjects) is unacceptably high. Additionally, there is a wide variation in the proportion and absolute values of both peripheral and central obesity across different parts of Nigeria.KEY WORDS: Obesity, Prevalence, Ethno-Geographic Variation, Nigerians, Type 2 Diabetes Mellitu