Prevalence of tobacco use in Eritrea: results from a noncommunicable disease risk factor survey.

The prevalence of noncommunicable diseases in Eritrea is increasing. Tobacco use is a recognized risk factor for most of these diseases, especially cardiovascular disease. No data have been published on tobacco use in Eritrea. The present study sought to establish the prevalence of tobacco smoking in Eritrea. The World Health Organization STEPwise approach was used for the survey, conducted in 2004 on a random national sample size of 2,460 subjects (response rate = 93.7%). The prevalence of tobacco smoking in the general population was 8.1%; the prevalence was 15% among men, compared with 0.6% among women. Prevalence rates were higher in those older than 45 years of age. The prevalence of tobacco smoking was higher among Muslims (11.4%) than Orthodox Christians (5.8%), and among alcohol drinkers (10.2%) than nondrinkers (6.6%). The majority of tobacco users (89.3%) used commercially available cigarettes. A study on knowledge, attitudes, and practices regarding tobacco use is needed to determine the behavioral factors leading to tobacco smoking among the vulnerable groups.     

A field deployable, multiplexed Bragg grating sensor system used in an extensive highway bridge monitoring evaluation tests

A multiplexed optical fiber Bragg grating sensor system with a measurement bandwidth of up to 200 Hz enabling dynamic loading events, e.g., road traffic, to be observed has been designed, installed, and tested over an 18-month period on a 346-m road bridge in Norway, for design verification and structural integrity monitoring purposes. A network of 32 fiber Bragg sensors was surface bonded along with a corresponding set of resistive strain gauges for comparative tests to be made. The wavelength data were calibrated against two thermally stabilized (/spl sim/0.15 pm) reference gratings, which rejected common mode noise and provided absolute wavelength scaling. These data provides independent strain and temperature information. Long-term test results showed good linearity and repeatability of <10 /spl mu//spl epsiv/ over the test period with a precision of /spl plusmn/5 /spl mu//spl epsiv/ and a resolution of /spl plusmn/1 /spl mu//spl epsiv/. The readings from the FBG sensors were comparable to those from the foil gauge sensors to within /spl plusmn/4 /spl mu//spl epsiv/.     

Ah-receptor-dependent modulation of gene expression by aged and diluted sidestream cigarette smoke

Cigarette smoke is known to induce cytochrome P4501A1 expression and activity in a variety of species. Although the elevation of this isozyme is assumed to be associated with the activation of the CYP1A1 gene through a ligand-mediated mechanism involving the Ah-receptor (AhR), this has not been determined. In this study we have examined the mechanism by which an ambient level of aged and diluted sidestream cigarette smoke (ADSS) induces cytochrome P4501A1. Effects of ADSS on C57BL/6N and DBA/ 2N mice were examined. Induction of P4501A1-associated ethoxyresorufin-O-dealkylase (EROD) activity was observed in the lungs of C57BL/6N mice, while there was no induction in DBA/ 2N mice. ADSS also induced EROD in wild-type mouse hepatoma (Hepa1c1c7) cells (hepa1), but not in variant hepa1 cells defective in the AhR nuclear translocator (ARNT) protein. ADSS exposure of recombinant hepa1 cells, stably transfected with a reporter plasmid containing the luciferase gene under control of several dioxin responsive enhancers (DREs), resulted in a time- and exposure-dependent induction of luciferase activity. ADSS-mediated induction of luciferase activity was inhibited by alpha-naphthoflavone (alpha NF), an Ah-receptor antagonist. Gel retardation analysis demonstrated that exposure to ADSS induced transformation and DNA binding of the AhR complex. In summary, our results not only indicate a role for the AhR in mediating the induction of P4501A1 by ADSS, but also demonstrate that environmentally relevant levels of ADSS must contain AhR ligands at sufficient concentrations to activate gene expression in an AhR-dependent manner.     

A quantitative risk assessment model for Staphylococcus aureus and Salmonella associated with consumption of informally marketed milk products in Tigray,Ethiopia

The aim of this work was to collect relevant input data for integration into Monte-Carlo simulation using 10,000 iterations to obtain quantitative estimates of exposure and associated risk to Staphylococcus aureus and Salmonella. Higher prevalence rates of S. aureus (54.9 vs. 28.3%) and Salmonella (12.9 vs. 11.1%) were observed for raw milk distributed via collection milk collection centers (MCC) compared to those via dairy farms (DF). Prevalence found for S. aureus in traditionally fermented milk averaged only 3.7%. Although the 90% CI estimated probabilities of exposures to S. aureus due to DF and MCC raw milk consumption at levels higher than the D-R value found were 10.6 and 23.5%, respectively, exposures to Salmonella were within the pathogen's tolerable limit. While annual likely of risk of illness by S. aureus due to DF and MCC raw milk consumptions resulted in up to 24.2 and 48.3% estimated illnesses, respectively, traditionally fermented milk consumption was found very much less risky; and resulted only 2.5% estimated illnesses per-serving-per-year. The corresponding values for Salmonella per-serving-per-year estimated illnesses via raw milk sales are, respectively, 5.72 and 11.41% compared to 1.8 and 4.02% when they come in boiled forms.     

Comparison of ground-based and remotely-sensed surface soil moisture estimates over complex terrain during SMEX04

Comparisons to ground-based surface soil moisture estimates are necessary to evaluate the capability of remote sensors to determine soil moisture and its spatiotemporal variability. Soil moisture can be especially variable in regions of complex terrain which exhibit large variations in vegetation, soil properties and hydrologic conditions. The objective of this study is to evaluate the spatiotemporal variability of soil moisture in a mountainous basin in northwestern Mexico. Soil moisture estimates from ground sampling over a topographic transect and high resolution retrievals from the Polarimetric Scanning Radiometer are compared during a two week period in August 2004 as part of the Soil Moisture Experiment 2004. Results indicate that the soil moisture estimates exhibit similar variability with mean water content. Statistical analysis, however, reveals clear differences in soil moisture in the basin, in particular for wet periods and high elevations. Despite these differences, the temporal persistence of soil moisture from the estimates agrees well and indicates locations that capture the basin-averaged conditions. Furthermore, the spatiotemporal soil moisture characteristics from the two products are linked to terrain attributes. As a result, a hypsometric technique is shown to improve comparisons between basin-averaged values derived from ground data and remote sensing, as compared to arithmetic averaging. To our knowledge, this study is the first attempt to evaluate PSR/CX retrievals with respect to ground observations over a region of high topographic and vegetation variability using statistical, time-stability and terrain analysis techniques.     

Evaluation of MODIS Gross Primary Productivity (GPP) in tropical monsoon regions

Near real-time vegetation indices derived from MODIS (MODerate resolution Imaging Spectroradiometer) observations (http://modis.gsfc.nasa.gov) provide a first opportunity to monitor ecohydrological systems globally at a spatial resolution consistent with biophysical processes at the field scale. Here, we present work toward the quantitative estimation of the uncertainty associated with MODIS Gross Primary Productivity (GPP), an end-product that depends on several MODIS derived vegetation indices. GPP products, available at 8-day and 1-km resolutions, were evaluated in two representative tropical ecosystems: a mixed forest site in the humid tropics (the Marsyandi river basin in the Nepalese Himalayas), and an open shrubland site in a semi-arid region (the Sonora river basin in northern Mexico). The MODIS-GPP products were compared against simulations made with a process-based biochemical-hydrology model driven by flux tower meteorological observations. Whereas the temporal march of vegetation indices and GPP products is consistent between the model and the algorithm, our study indicates that that there is a positive bias in the case of the mixed forest biome in the Marsyandi basin, and a negative bias in the case of open shrublands in the Sonora basin. We examined the error contribution from the DAO meteorological data used in the standard MODIS GPP products. The bias between the GPP estimates using DAO and tower meteorology is − 2.77 gC/m²/day (i.e., − 77% of the mean of the tower-based GPP) in the Marsyandi, and 0.33 gC/m²/day (i.e., 18% of the mean of the tower-based GPP) in Sonora. Analysis of the temporal evolution of the discrepancies between the model and the MODIS algorithm points to the need for examining the light use efficiency parameterization, especially with regard to the representation of nonlinear functional dependencies on vapor pressure deficit (VPD), photosynthetically available radiation (PAR), and seasonal evolution of the productive capacity of vegetation as influenced by water stress.