Author name:
ميعاد نعمت احمد بهرام
Supervisor name:
فاضل محسن يوسف الموسوي
Abstract:
تعد الوفيات من اهم المؤشرات التي تعكس الاوضاع الاقتصادية والاجتماعية في اي مجتمع كان ومدى صحة ووعي سكانه ورفاهيتهم وهو مكسب الدراسة واهميتها وان الهدف من البحث هو دراسة العامل المتناقص للنمو السكاني والمتمثل بالوفيات التي غالبا ما تتعرض بياناتها الى | statistical studies has been Expanded to include many fields and sectors, including the population sector, where the researchers have interested to study of the census and measurements related to the problems such as briths, deaths and migration of the population sector, because of its great importance in the field of planning and management. The research as a part of series of researchers that are interested on the side of the demographic characterization. The research tackled declining factor of the population growth which represented the deaths, which are often their data are subject to different types of errors, that are notably the lack of registration of the facts, especially in developing countries, so this research focuses on the spatial variation of the deaths in the district of Khanaqin during the period 1987 - 1997 - 2007 - - 2,014 which targeted the knowledge of trends and its temporal and spatial variations aspects of the level of the city based on a set of standards for deaths and identifying the typical and age variations of the deceased and the causes of death and their relationship to the surrounding environment. The study depends on the data recording of vital events in the death registration offices which belong to the administrative aspects of khanaqeen As well as it has been depending on the field study to fill what is missing from the data. The study has showed that the deaths value that have been collected during the study period (3880) and crude death rate for the years (1987 - 1997 - 2007 - 2014) was (8.8 per thousand, 4.8 per thousand 0.6 per thousand, 4.6 per thousand), which in turn, did not score a chronologically organized trend where it is characterized the variation between high and low, as well as the number of deaths have been varied according to months of the year and the seasons as it is recorded the highest proportion of deaths in January and December, and it shows that winter and summer record the highest rate of deaths. The study also reveals that the superiority of the male deaths to female deaths for all years of study at a rate (64.1%, 56.9%, 65.6%, 53.6%) for males for years (1987 - 1997 - 2007 - 2014) vs. (35, 9% 43.1%, 34.4%, 46.4%) of females for years above of the total deaths of the city And for the age pattern of deaths, the study also showed the relative importance of variation for age groups in terms of reality, including the value of the deaths, the study has shown that age group (15 - 44 ) has topped the other age groups at a rate (27.6%) of the total deaths, followed by category ( 65 years and over) by (21.6%) of the total of deaths Regarding the cause of deaths it has been shown by the study, that deaths due to diseases accounted for (7.63%) for the year 1987, and (7.49%) for the year 1997, and (50.7%) for the year 2007, (61.9% ) for the year 2014, and the circulatory system diseases and blood diseases topped the other types of diseases at a rate (22.6%, 27.7%, 24.1%, 28.7%) for the years (1987 - 1997 - 2007 - 2014) of the total deaths diseases, followed by cancerous diseases at a rate (18.6%, 15%, 15.3%, 15.1%) for the years (1987 - 1997 - 2007 - 2014) of the total deaths diseases. While deaths due to accidents accounted for the proportion (50.3%) for the year 1987, and (36.3%) for the year 1997 (49.3%) for the year 2007, (38.1%) for the year 2014 of the total deaths,whilethe deaths of gunshot incidents and other accidents rate topped the rate of (41.3%, 24.9%, 45.1%, 44.5%) for the years (1987 - 1997 - 2007 - 2014) of the total deaths incidents. The study shows through statistical methods that used in data analysis that there is strong correlation and relationship of significance found between the dependent variable analysis (the number of deaths) and independent Almngiberat (cancer X1. Degenerative diseases X2. Communicable Diseases X3. Numbers of deaths by accidents and numbers of deaths by terrorism X5. Number of deaths naturally X6), and it is found through multiple regression that the independent variables application (cancer x1. degenerative diseases X2. diseases transitional X3. Deaths by accidents deaths by terrorism X5. number of deaths naturally X6) has a larger impact in influencing the approved variable (number of deaths) and (1%) only attributed to other factors, the model was unable to count. the study clarifies that the distribution of deaths, according to the administrative units has been marked by variations where the center of the city ranked first in the number of deaths for all years of the study, as the percentage recorded (40.5%, 49.5%, 38.1%, 37%) years (1987 - 1997 - 2007 - 2014) of the total deaths amount. It has been shown by study that the geographical distribution of deaths due to the disease, according to the administrative units has been marked by variation , where it shows out the high percentage in the center of Khanaqeen all the years of study, with the percentage of registered (35.4%, 36.8%, 34.1%.33 0.1%) for the years (1987 - 1997 - 2007 - 2014) of the total deaths due to the elimination of diseases, and the lowest geographical distribution of deaths due to the disease in hand by Mo amounted to (4.6%, 3.7%, 3.1% , 4.8%) for the years above of the total deaths due to the elimination of diseases, while the geographical distribution is characterized due to accidents where the variations also topped in the center to all other administrative units which record (45.3%, 45.1%, 38.4 %, 45.5%) for the years (1987 - 1997 - 2007 - 2014) of the total deaths due to accidents this study revealed the impact of climate especially temperatures as the most influential factor in natural deaths average compared with other natural factors in addition to the impact of different human factors the level of living standards (household income) and the level of education, occupation and place of residence and the housing situation and the level of provided health services
