Kristensentillman2033

y medium, provided the original work is properly cited.BACKGROUND Under-five mortality is considered an indicator of population well-being and health equality in societies. Under-five mortality caused by nutritional deficiencies is a public health concern in developing countries. In this study, we aimed to report the trend and mortality rate of nutritional deficiencies from 1995 to 2015 in children aged under five years. METHODS In this study, we used the death registration system (DRS) data to estimate age- and sex-specific nutritional deficiency mortality rates at national and sub-national levels in Iran from 1995 to 2015. The Iranian DRS used the 10th revision of International Classification of Diseases (ICD-10) but we report our results based on Global Burden of Diseases (GBD) study codes. We used the average annual percent change (AAPC) to quantify trend in under-five mortality rate attributable to nutritional deficiencies from 1995 to 2015. RESULTS At national level, mortality rates in both sexes were 8.53 (95% uncertainty interval [UI] 7.69-9.47), 1.04 (0.86-1.36), and 0.37 (95% UI 0.28-0.57) per 100,000 in 1995, 2005, and 2015, respectively. AAPC was estimated between 1995 and 2015. At sub-national level, the highest and lowest mortality rates across provinces ranged from 17.7 per 100000 in 1995 to 1.1 per 100000 in 2015. In the latest years, protein-energy malnutrition (PEM) was the most frequent cause of mortality among other nutritional deficiencies. CONCLUSION The results show a substantial reduction in terms of mortality caused by nutritional deficiencies at national, as well as provincial, level among children under-five years of age. © 2020 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (http//creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.BACKGROUND Projection of mortality rates is essential for policy making and planning of health services. Premature mortality, as an important index, commonly refers to deaths occurring before 70 years of age. This study was conducted to estimate the trend of premature deaths from 2006-2015 and to project premature deaths for the 2016-2030 period. METHODS We used national mortality data collected by the Ministry of Health and Medical Education's Deputy of Health, and population data from the Statistical Center of Iran. Mortality and population data were categorized based on sex and 5-year age groups. selleck inhibitor The Bayesian hierarchical model was used to project future premature mortality rates through 2030. RESULTS Age-standardized all-cause premature mortality declines from 414.3 per 100000 persons in 2010 to 300.3 per 100000 persons in 2030 (27.5%) for men, and from 230.6 per 100000 persons in 2010 to 197.2 per 100000 persons in 2030 (14.5%) for women. In all age groups, the percent reduction of premature mortality was greater for men than women. CONCLUSION Overall, it is projected that premature mortality will witness a declining trend in both sexes in Iran. Accordingly, we would expect to achieve less than a third reduction in premature mortality by 2030, which is one of the Sustainable Development Goals. © 2020 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (http//creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.BACKGROUND In this study, we seek to evaluate the population health improvements during the previous four decades in Iran. We have estimated the levels and trends of child and adult mortality in addition to life expectancy from 1979 to 2019 at national and sub-national levels using all the available data. METHODS In this study, we used data from National and Sub-National Burden of Diseases study and employed Bayesian Averaging Model (BAM) to predict mortality rates and life expectancy from 1979 to 2019. By including all available data sources of death information of Iran, including national level data from the Institute for Health Metrics and Evaluation (IHME), national censuses, Demographic and Health Survey (DHS), and Death Registration System (DRS) and using Spatio-Temporal and Gaussian Process Regression (ST-GPR) models, we estimated mortality rates and life expectancy from 1990 to 2015. We also used a BAM to project our desired indices until 2019. RESULTS Both child and adult mortality rates decreased drates (child and adult) and life expectancy. The provided framework of national and sub-national evaluation can be used by researchers to continue the path of providing information for prioritization and evaluation of programs and also performing cost-effectiveness analysis for proposing efficient strategies to policy makers. © 2020 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (http//creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.SIGNIFICANCE Selective retina therapy (SRT) selectively targets the retinal pigment epithelium (RPE) and reduces negative side effects by avoiding thermal damages of the adjacent photoreceptors, the neural retina, and the choroid. However, the selection of proper laser energy for the SRT is challenging because of ophthalmoscopically invisible lesions in the RPE and different melanin concentrations among patients or even regions within an eye. AIM We propose and demonstrate SRT monitoring based on speckle variance optical coherence tomography (svOCT) for dosimetry control. APPROACH M-scans, time-resolved sequence of A-scans, of ex vivo bovine retina irradiated by 1.7-μs duration laser pulses were obtained by a swept-source OCT. SvOCT images were calculated as interframe intensity variance of the sequence. Spatial and temporal temperature distributions in the retina were numerically calculated in a 2-D retinal model using COMSOL Multiphysics. Microscopic images of treated spots were obtained before and after removing the upper neural retinal layer to assess the damage in both RPE and neural layers.