The correlation of values of CD4 Count, platelet, PT, APTT, fibrinogen and factor viii was carried out. One hundred and sixty four subjects were sampled, comprising one hundred and fourteen HIV positive subjects and fifty HIV negative subjects which served as the control. PT, APTT, Fibrinogen, Factor VIII, Platelet and CD4 count were analyzed using standard techniques. The results showed that HIV positive subjects had a significantly lower CD4 count (360.00±107.09) and Platelet count (157 ± 98.40) when compared with the HIV negative subjects (940 ± 220.05) and (228 ± 62.04) respectively. Also PT and APTT were significantly higher (P<0.05) in HIV positive subjects (19.56 ± 3.14) and (42.86 ± 7.10) respectively when compared with the HIV negative subjects (14.90 ± 1.91) and (37.90 ± 3.98) respectively. Whereas, there were no significant changes (P> 0.05) in fibrinogen and factor viii concentration between the HIV Positive subjects and the HIV negative subjects. Among the HIV positive subjects, platelet count did not differ significantly (p> 0.05) between those with CD4 count < 200 cells/µl and those with CD4 count ≥ 200 cells/ µl. However, PT and APTT showed significant changes (22.40 ± 2.96) and (48.20 ± 8.01) respectively, in HIV Positive subjects with CD4 count <200 cells/µl. Furthermore, there were positive correlation between PT and APTT, PT and CD4 count, APTT and CD4 count, Platelet and CD4 count (P<0.01) respectively while there were no correlation between other coagulation parameters tested(P > 0.01).

The effect of viral hepatitis on some coagulation parameters APTT, PT,TT,Fibrinogen and platelets were determined among blood donors at FMC Umuahia. One hundred and sixty three blood donors were sampled comprising One hundred and thirteen as follows; (HAV 16, HBV 65 and HCV 32) and fifty non hepatitis subjects who served as control. The parameters were analysed using standard haematology technique. Results obtained showed no statistical significant changes in the coagulation parameters in HAV subjects (32.8±2.6) secs, 12.4±1.5 (secs), 16.7±1.3 secs, 2.9±0.2g/L and 249±73 10 9 /L when compared with control group 34.1±3.1 secs 13.4±1.7 secs 16.7±1.5 secs 2.5±0.6g/L and (263±74) 10 9 /L respectively for the parameters as stated above (P > 0.05), significant change in HBV infection 42.4±5.8 (secs); 22.3±10.7 (secs); 23.9±4.7 (secs); 1.8±1.1(g/L); and 162±144(10 9 /L) when compared with the control 34.1±3.1 (secs); 13.4±171 (secs); 16.7±1.5 (secs); 2.5±0.6 g/L); 26. ±74 (10 9 /L) respectively at P<0.05. The HCV infection showed the same significant changes in all the coagulation factors estimated; 45.0±6.3 (secs); 20.9±4.9 (secs); 24.6±5.6 (secs); 1.6±0.6 (g/L) and 170±61 (10 9 g/L) when compared with the same control group. The APTT showed a positive relationship with PT and TT and a negative relationship with fibrinogen and platelets. PT had a strong positive correlation with TT and a negative relationship with fibrinogen and platelet. TT showed a strong negative relationship with fibrinogen and platelet. The result showed an alteration in the levels of coagulation factors following viral infection of the liver.

This study was carried out to determine the comparative study of cd8+ cell count and leukopoietin levels in human immunodeficiency virus infection in

The issues concerning global rainfall distribution and warming/climate change cannot be over emphasized since it affects virtually every part of live. The study used rainfall pattern in two states of Nigeria. Data on the monthly rainfall distribution in Imo and Rivers state, for a period of 37 years was examined. The result showed a continuous increase in the pattern of rainfall for a period of thirty seven years within the period under study. However the pattern was inconsistence for the remaining years with some kind of fluctuations. The monthly mean series plots showed a clear presence of trend with the peak period being September annually in both series with coefficient of determination- R square value of 83% and 86% for Imo and Rivers series respectively. The yearly mean series plots showed a clear irregular variation over the years in both series. The irregularity in the pattern of rainfall calls for serious commitment in joining the force for climate change abatement process. Pearson correlation coefficient between the two series is 0.80 (substantial correlation), which is the same result with cross correlation between the two rainfall series (0.79988 approx. 0.80). The series reveal the following characteristics: high correlations appear seasonality of order 12 in the monthly mean plots (every September), irregular variation and trend curve which is quadratic trend. ARIMAX model with independent variable was employed to identify the best bivariate time series model for prediction purpose. The result reveal an increase in Rivers series (Yt ) would tend to a linear combination of some increase of the preceding Imo series (It ) values which is vise visa. SARIMAX (1, 2) and SARIMAX (2, 1) models are identified as the best model with respect to Rivers on Imo series rainfall; via Imo on Rivers series rainfall.