Data Analysis

The data was analyzed using the Quasi-Poisson models. This method was used to evaluate the mortality rates with an emphasis on the place of research and its timing. The number of displaced people in the survey was a variable to explain the trends. The projected mortality rates for future five periods were computed and analyzed against the civilian data obtained from the UN publications about the Darfur conflict. This was aimed at obtaining the number of deaths. We found that 63 out of 107 mortality rates surveys met the criteria to be used.

Result Findings and Discussion

The study established that there was a reduction in mortality rates between the periods of 2004 and 2008. This disparity was brought about by the deployment of humanitarian aid workers whom in their absence, mortality rates soared. A reduction in mortality rates was however observed to be more important to violence related deaths than for diseases. There was a direct co-relation between displacement and increased rate of deaths as a result of diseases. There was however a resultant decrease in number of deaths from displacement. A figure of 298,271was estimated to be the excess number of deaths.

We found out that mortality rate figures have been greatly used for political reasons hence the disparity between mortality rate figures of the government and other humanitarian bodies. The mortality rate figures of 2004 have been majorly as a result of the violence because it was at the inception of the war. 2005 mortality rate figures have majorly been as a result of diseases as the humanitarian crisis deepened. The most vulnerable population was the displaced because they didn't have access to any basic social amenities; therefore leaving them vulnerable to diseases....

This led to the worsening of mortality rate cases between the periods of 2006-2007.
Conclusion

This study is stretched along the period from the start of the conflict to the present. This is a positive analysis unlike previous studies which haven't factored in the effects of violence and disasters in the conflict. With this approach, conflict-related mortality is deemed more consistent with time and geography. This was not the case in past studies. In addition, the affected population of civilians also varies with time. In future analysis, the estimation of cause-death effect on mortality rates would help in understanding conflicts and their dynamics. The findings for this research study are assumed to be credible because the validation process was repeated to ensure credibility of the data. Before the sampling was done, rates were calculated and their limitations established. The clusters were also verified to be on the basis of population size. All houses including those that didn't have children below the age of 5 years were also included. UN's series 18 about the conflict was also used a secondary source of data to determine the number of affected people and the level of the humanitarian crisis.

The findings expressed in this study can therefore be used by governments and humanitarian organizations in assessing the situation in Darfur. Credible data is given regarding the trends of mortality rates and governments could use this information to assist in averting more death of civilians. The study also identifies humanitarian aid as basic for a reduction in mortality rates. This information would help boost efforts to avert more deaths in conflict ridden areas.

Works cited

Flint, Julie. Darfur: a New History of a Long…