ABSTRACT
The spread of coronavirus disease (COVID-19/SARS-CoV-2) in Nigeria from index to community cases is becoming alarming that what the future holds should be brought to bear. An analytical study and time prediction model have been conducted on the epidemiological spread of coronavirus (COVID-19/SARS-CoV-2) with data collected from records of selected epicentres in Nigeria. The data was collected between March 1 and May 31, 2020. It can be shown that the highest daily infection in March was recorded on the 28th with 32 infections while the highest fatality rate was recorded on 24th with a rate of 2.3% and recorded daily infection of 10. As at the 31st, a total number of 139 confirmed cases were recorded in Nigeria with a fatality and discharge rates of 1.4 and 6.5% respectively. It can be deduced that the highest daily infection in Nigeria in April was recorded on 30th, with daily infection of 204 confirmed cases. The highest discharge rate of 34.4% was recorded on 16th, with a fatality rate of 2.9% while the highest fatality rate of April was 3.5% recorded on 18th, which has a discharge rate of 30.6% and a daily infection record of 49. As of April 30, 2020, Nigeria had recorded a total of 1932 confirmed cases with 58 deaths. It can also be deduced that the highest daily infection in Nigeria in May was recorded on 30th, with daily infection of 553 confirmed cases. It can also be observed that the highest discharge and fatality rates for May 2020 are 29.6% and 3.6% recorded on 31st and 2nd respectively. As of May 31, 2020, the total infection stood at 10162 confirmed cases and there seems to be a continuing upward trajectory for the situation under investigation. It can also be observed that the rate of discharged cases continued to surpass those of the fatality for the months of investigation. No doubts that the COVID-19/SARS-CoV-2 was first recorded in the Ogun State of Nigeria, but Lagos state has surpassed both the daily infections and the cumulative infections for the country. With collected data, MLR simple linear regression extension was used to estimate an outcome or target variable based on two or more independent variables. The variables which are the three months data collected from daily infections, totally confirmed case, total deaths and total discharged cases between March 1, 2020, and May 31, 2020, were used to propose regression equations for the prediction of the cases under study for anytime period.
ABSTRACT
Cardiovascular Disease (CVD), which is also known as Heart Disease has been the most common cause of death among diabetic and sickle cell anemia (SCA) patients around the world. CVD includes coronary artery disease, stroke, and peripheral artery disease while SCA includes hemolysis. These are the main types of CVD, which is similar to hypertension because of the common risk factors they have, such as obesity, arterial remodeling, abnormal cholesterol levels, etc. Diabetes and SCA belong to the largest health emergencies of the 21st century. With the high rate of people with diabetes and SCA, the rate of Cardiovascular Disease increases rapidly. The rates of CVD in high-income countries generally have low CVD because of the monitoring systems for noncommunicable diseases like CVD. However, the appearance of the novel COVID-19/SARS-CoV-2 has changed the narrative. With COVID-19/SARSCoV-2 attacking more on people with previous health conditions associated to cardiovascular conditions, the backbone of high-income nations is broken and those leaving with high immune conditions are at less risk whether in the high income or low-income environments. The objective of this research is to review the Cardiovascular Disease conditions to the novel COVID-19/SARS-CoV-2 in Diabetic and SCA patients. This is due to the prevalence of this medical situation in the developing world or low income and densely populated countries.