Wastewater-based monitoring of illicit drug consumption in Istanbul: Preliminary results from two districts.

Wastewater-based epidemiology is a well-established and complementary approach for monitoring illicit drug use in the general population. In this study, amphetamine (AMP), methamphetamine (METH), 3,4-methylenedioxymethamphetamine (MDMA), cocaine (COC) (from benzoylecgonine), and cannabis (from THC-COOH) consumption levels were investigated for the first time in Turkey (Istanbul). A solid-phase extraction method was applied to influent wastewater samples collected from two districts, Beyoglu and Catalca. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis was conducted with electrospray ionization in positive mode. Calibration curves were acquired in linear form with >0.999 correlation coefficients. Limit of detection levels were measured as 0.91-151 ng/L, and limit of quantitation levels were in the range of 3 to 500 ng/L. Solid-phase extraction recovery and repeatability experiments were achieved by spiking the mix solution to different concentrations (50, 250, 750 ng/L) in 50 mL tap water and wastewater (500, 1000 ng/L) samples in six replicates. The method was optimized, and recoveries were found to be over 80% for all six substances with up to 11.9% relative standard deviation. According to the real sample results, cannabis was found to be the most abused illicit substance among the analytes. The mean consumptions of the two districts, including seven consecutive days for AMP, METH, MDMA, COC, and cannabis, were found to be 27.2, 322, 331, 385, and 1224 mg/day/1000 inhabitants, respectively. In this presented study, all targeted compounds were analyzed simultaneously with the same analytical conditions. To the best of our knowledge, this report is the first to present illicit drug consumption data from Istanbul.

Digital sketch maps and eye tracking statistics as instruments to obtain insights into spatial cognition.

This paper explores map users' cognitive processes in learning, acquiring and remembering information presented via screen maps. In this context, we conducted a mixed-methods user experiment employing digital sketch maps and eye tracking. On the one hand, the performance of the participants was assessed based on the order with which the objects were drawn and the influence of visual variables (e.g. presence & location, size, shape, color). On the other hand, trial durations and eye tracking statistics such as average duration of fixations, and number of fixations per seconds were compared. Moreover, selected AoIs (Area of Interests) were explored to gain a deeper insight on visual behavior of map users. Depending on the normality of the data, we used either two-way ANOVA or Mann-Whitney U test to inspect the significance of the results. Based on the evaluation of the drawing order, we observed that experts and males drew roads first whereas; novices and females focused more on hydrographic object. According to the assessment of drawn elements, no significant differences emerged between neither experts and novices, nor females and males for the retrieval of spatial information presented on 2D maps with a simple design and content. The differences in trial durations between novices and experts were not statistically significant while both studying and drawing. Similarly, no significant difference occurred between female and male participants for either studying or drawing. Eye tracking metrics also supported these findings. For average duration of fixation, there was found no significant difference between experts and novices, as well as between females and males. Similarly, no significant differences were found for the mean number of fixation.

GIS based spatial pattern analysis: Children with Hepatitis A in Turkey.

This study aimed to provide an insight into the geographic distribution of Hepatitis A incidence considering their temporal distribution, spatial patterns, hot spots and clusters identification in three different age-group (0-4, 5-9 and 10-14) in Turkey. Province based tabular data, including monthly numbers of Hepatitis A cases in children, and the populations from 2001 to 2011 were used as the basic input of the study. Time series maps were created using Geographic Information Systems (GIS) to introduce the temporal changes in the morbidity rates of Hepatitis A. The spatial variation of Hepatitis A was measured using Moran's I at the global level and the local indicators of spatial associations (LISAs) Moran's I and Getis-Ord Gi *(d) in order to identify influential locations through clusters and hot spots detection of Hepatitis A cases. The morbidity rates in children under the age of 5 were found significantly lower than the other age-groups, whereas the age-group 5-9 revealed the highest morbidity rates in the study area. The morbidity of Hepatitis A was detected very high for the years 2001, and 2005-2007. The identification of the highly vulnerable provinces was conducted using local Moran's I and local Getis-Ord Gi *(d). The majority of clusters and hot spots were detected to be agglomerated in the Eastern Mediterranean and South-Eastern Anatolian Regions and Ceyhan, Asi and Southeast part of Firat-Dicle river basins in Turkey.