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<p style="text-align: justify;">Lipemic serum caused by lipoprotein particles such as chylomicrons, VLDL (Very Low-Density Lipoprotein) and triglycerides. This situation causes interference chromophoric photometric analysis, interference on the wavelength and light scattering caused by the presence of lipid particles. This study aims to determine and differences glucose levels in lipemic serum with and without the addition of gamma-cyclodextrin incubation temperature 23oC. The study's pre-experimental use research design static group comparison. The samples were all lipemic serum many as 20 samples. The research findings were the glucose levels without adding the flocculant Gamma-cyclodextrin incubation temperature 23oC was 267,19 mg/dl. Whereas the glucose levels with adding the flocculant Gamma-cyclodextrin incubation temperature 23oC was 169,23 mg/dl. The difference of glucose levels with or without adding the flocculant Gamma-cyclodextrin incubation temperature 23oC was 97,96 mg/dl(35,23%).

Based on the official Nigeria Centre for Disease Control (NCDC) data, the current research paper modeled the confirmed cases of the novel coronavirus disease 2019 (COVID-19) in Nigeria. Ten different curve regression models including linear, logarithmic, inverse, quadratic, cubic, compound, power, S-curve, growth, and exponential were used to fit the obtained official data. The cubic (R2 = 0.999) model gave the best fit for the entire country. However, the growth and exponential had the lowest standard error of estimate (0.958) and thus may best be used. The equations for these models were e0.78897+0.0944x and 2.2011e0.0944x respectively. In terms of confirmed cases in individual State, quadratic, cubic, compound, growth, power and exponential models generally best describe the official data for many states except for the state of Kogi which is best fitted with S-curve and inverse models.  The error between the model and the official data curve is quite small especially for compound, power, growth and exponential models. The computed models will help to realized forward prediction and backward inference of the epidemic situation in Nigeria, and the relevant analysis help Federal and State governments to make vital decisions on how to manage the lockdown in the country.

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Serum using is preferred for urea level because it does not use anticoagulants which can interfere with activity and  reaction to the results. The tubes that are widely used to collect blood into serum are  vacutainer serum separator and  vacutainer plain.This researche aims to determine the degree of agreement s between vacutainer serum separator and vacutainer plain usage on serum urea level result.This research was cross sectional design and hold on October 2020 with subject were taken from  thirty blood samples of health analyst students which taken randomly and had no history of disease or kidney function disorder. Each student was taken 6 ml of blood drawn using a venoject with each vacutainer containing 3 ml, so we had 60 data. The data were analyzed by descriptively and inferentially using the Interclass Correlation Coefficient (ICC) statistical test. From the descriptive analysis, the difference in mean levels was 0.35 mg/dL and the ICC statistical test resulted in a degree of agreement 0.745. The data were analyzed by descriptively and inferentially using the Interclass Correlation Coefficient (ICC) statistical test. From the descriptive analysis, the difference in mean levels was 0.35 mg/dL and the ICC statistical test resulted in a degree of agreement was 0.745. The calculation of the average working time between the vacutainer serum separator and the vacutainer plain was 4 minutes 38 seconds and 35 minutes 58 seconds. The analysis concluded that the vacutainer serum separator and the vacutainer plain could be used as an alternative of blood collecting tubes for urea level testing which proved to be no significant difference in the results from this research. Keywords : Urea level,  Vacutainer Serum Separator,  Vacutainer Plain