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Der Begriff Gesundheit wurde von der WHO definiert als „nicht nur die Abwesenheit von Krankheit, sondern, positiv als Naturrecht formuliert, vollständiges körperliches, seelisches und soziales Wohlbefinden“. Deswegen hat die WHO mit dem Gesundheitsministerium in Syrien das Programm „Gesunde Dörfer“ seit 1996 gestaltet. Es zielt darauf, den wirtschaftlichen, sozialen und gesundheitlichen Zustand der Landbevölkerung zu verbessern, insbesondere soll es den großen Unterschied zwischen Stadt und Land vermindern. Das Projekt stellt sich die Aufgabe, den Einfluss des Programms auf Wirtschafts- und Gesundheitsparameter im Vergleich mit anderen Kontrolledörfern zu analysieren. Hierzu werden Umfragedaten in Syrien ausgewertet. Die Auswertung der Befragung in der vorliegenden Arbeit zeigte, dass das Programm seine Ziele bezüglich der Verbesserung der Gesundheits- und Lebensqualität erreicht Erfolgreich war das Programm „Gesunde Dörfer“ auch, mit Ausnahme der nördlichen und östlichen Region, in der Verringerung der Anzahl arbeitender Kinder, in der Förderung der Frauen eine Beschäftigung aufzunehmen bzw. ein Studium zu absolvieren sowie in der Reduzierung der Analphabetenrate.
This thesis rests on two large Active Galactic Nuclei (AGNs) surveys. The first survey deals with galaxies that host low-level AGNs (LLAGN) and aims at identifying such galaxies by quantifying their variability. While numerous studies have shown that AGNs can be variable at all wavelengths, the nature of the variability is still not well understood. Studying the properties of LLAGNs may help to understand better galaxy evolution, and how AGNs transit between active and inactive states. In this thesis, we develop a method to extract variability properties of AGNs. Using multi-epoch deep photometric observations, we subtract the contribution of the host galaxy at each epoch to extract variability and estimate AGN accretion rates. This pipeline will be a powerful tool in connection with future deep surveys such as PANSTARS. The second study in this thesis describes a survey of X-ray selected AGN hosts at redshifts z>1.5 and compares them to quiescent galaxies. This survey aims at studying environments, sizes and morphologies of star-forming high-redshift AGN hosts in the COSMOS Survey at the epoch of peak AGN activity. Between redshifts 1.5<z<3.8, the COSMOS HST/ACS imaging probes the UV regime, where separating the AGN flux from its host galaxy is very challenging. Nevertheless, we successfully derived the structural properties of 249 AGN hosts using two-dimensional surface-brightness profile fitting with the GALFIT package. This is the largest sample of AGN hosts at redshift z>1.5 to date. We analyzed the evolution of structural parameters of AGN and non-AGN host galaxies with redshift, and compared their disturbance rates to identify the more probable AGN triggering mechanism in the 43.5<log_10 L_X<45 luminosity range. We also conducted mock AGN and quiescent galaxies observations to determine errors and corrections for the derived parameters. We find that the size-absolute magnitude relations of AGN hosts and non-AGN galaxies are very similar, with estimated mean sizes in both samples decreasing by ~50% between redshifts z=1.5 and z=3.5. Morphological classification of both active and quiescent galaxies shows that the majority of the AGN host galaxies are disc-dominated, with disturbance rates that are significantly lower than among the non-AGN galaxies. Such a finding suggests that Major Mergers are probably not responsible for triggering AGN accretion in most of these galaxies. Other secular mechanisms should therefore be responsible.