Analysis Of Infant Mortality In The Vicinity Of Jimma Zone

111ere has been an explosion of interest in fhe (oialysi,;' o{s/o·j,(vl!l'dCa'a in'the' Ihl"t 35 );e{o,rnwhich is resulting in the development of many nell' theoretical ideas (md usejitl methods,rnspecially in the study of the relationship between survival times and explonat01:l' variables,rn111C application of survival data analysis is common in different fields ranging fj-omrnEconomics to Engineering. The value of survival analysis techniques is wide in medicalrnstatistics. The focus o.f this thesis is on the application of survival data analysis to the datarngeneratedfj-om epidemiological study conducted/i-om 1992 to 1994 in Jimll1a, Keffct-Shekarnand Iliubabour zones,rnJlethodological procedures to handle problell1s originated fj-OIl1 surviml data are givenrnbriefly. A review on determinal1fS o.f hlfcll1t survival/i-om related studies is made. The mainrnobjectives o.f the thesis are to determine the survival pattel'l1 up to first birthday andrninvestigate the possible risk factors that contribute most to the early mortality.rnDemographic, socioeconomic, Environmental status, health service usage and traditionalrnpractice indicator variables are considered. The basic Cox regression model is/iffed to getrnthe effect of a variable, a({justedfor other variables, Results are given both in numericalrnestimates and graphical presentations where applicable.rnThe descriptive analysis shows that neonatal mortality rate is 26.6 pel' 1000 live births,rnpostnatal mortality rate is 73,1 per 1000 live births, and the overall 111fant Mortality Ratern(IMR) is 101,9 pel' 1000 live births. The cumulative survival probabilities arern11rn().9855(.·.e~O.{)013). 0.9736(s.e~0.0018), O. 9039(.1. e. =0.(033) for days 7, N! and 36{),rnre.~peClively.rnThe final Cox's regression model sholl's that breastIeeding practice, '{{ccination status atrnbirth. weight at birth. .klll/ily size, death of previous children, sex of {[Ii iJ?fant, maternal age,rnmarital status, visit to maternal clinic, sll'allowing blllter, place of deliveJ}" and availabilityrnof latrine facility are significaJ1lly important variables in determining iJifaJ7fs' chance ofrnsurvival. Analysis by age of iJ?fams sholl'S that socioeconomic and environmental variablesrnare iJif/uential at later ages of life. Also analysis by place of residence sholl'S that the effectrn-of these variables is important only at urban areas.rnFinally, relevant discussion is made and possible recommendations are given according~l'rnto interested policy makers and/i'ont-line health workers.

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