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Analysis of the Impact of Immunization Programme on Some Prevalent Childhood Diseases (A case study of Aboh Mbaise General Hospital, Imo State from 1998-2012)

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Author Affiliations

  • 1Department of Statistics, Imo State University, PMB 2000, Owerri NIGERIA
  • 2Department of Statistics, Imo State University, PMB 2000, Owerri NIGERIA
  • 3Department of Statistics, Imo State University, PMB 2000, Owerri NIGERIA
  • 4Federal Polytechnic Ekewe, PMB 110, Yenagoa, Bayelsa State, NIGERIA

Res. J. Mathematical & Statistical Sci., Volume 1, Issue (9), Pages 30-41, October,12 (2013)

Abstract

This study attempts with how statistical measures are applied to the study of infants immunized under National Proramme on immunization and total number of infants with the six childhood diseases in Aboh Mbaise General Hospital, Imo State from 1998 – 2012. The sttistil softwe pkges wee used fo the nlysis. The use of Btlet’s test of homogeneity of variance shows variation in the data, and the test for normality assumption failed. The Non - parametric Kruskal Wallis test nd the spemn’s nk o rrelation coefficient were adopted in the analysis, and their formulas were explicitly derived. The number of infants responding to the immunization programme is increasing over the years, while the number of infants that are contracting the six childhood diseases are decreasing over the years under study. These findings indicate the effectiveness of the immunization programme. The number of infants with the six childhood diseases depends on the number of infants immunized, except for Measles vaccine which didn’t hve  signifint impt on Mesles, othe vines hd  significant impact on the diseases they are meant to prevent. This development would explain for the high number of infants with measles. The kruskal - wallis test revealed that the various va ccines for infant immunization are significant, and further analysis using the pair - wise comparisons revealed that all the various vaccines are significant, except for; BCG and DPT, BCG and Measles and DPT and OPV that are not significant. Also, the variou s diseases contracted by infants differ, and further analysis showed that all the various diseases are significant, except for; measles and tetanus, pertussis and Tuberculosis, pertussis and poliomyelitis, pertussis and diphtheria, poliomyelitis and tetanu s, poliomyelitis and diphtheria and tetanus and diphtheria that are the same(insignificant).

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