Disease Prevalence and Mortality among Agricultural Workers in Korea

The aim of this paper was to provide an overview of mortality and disease prevalence related to occupational diseases among agricultural workers in Korea. We evaluated the age-standardized mortality rates and the prevalence of chronic diseases and compared them with those of other populations using death registration data from 2004 through 2008 and the 2005 Korean National Health and Nutrition Examination Survey. In addition, we conducted a literature review on published articles examining the health status of farmers in Korea. Agricultural workers have a significantly higher mortality of cancer, tuberculosis, chronic respiratory diseases, liver diseases, suicide, motor and non-motor vehicle accidents. Compared to other populations, farmers have higher prevalence rates of arthritis and intervertebral disc disorders. The literature review revealed a number of work-related diseases among farmers, such as musculoskeletal diseases, pesticide poisoning, infections, and respiratory and neurologic diseases. Korean farmers demonstrate a distinct pattern of mortality and disease prevalence compared to other populations. Although lifestyle factors remain important contributors to those deaths and diseases, our study suggests that occupation is a major determinant as well. Intensive programs such as surveillance systems, therefore, should be developed in order to identify and prevent work-related diseases among agricultural workers in Korea

Ophthalmic drug abuse: An observational study from community pharmacies

Background: There has been a trend in the past five years in Jordan for ophthalmic anticholinergic preparations to be misused or abused. This is done mainly to experience mental altering effects such as mood changes, euphoria or hallucinations. Such products are mostly obtained from community pharmacies without a prescription. Objectives: This study aimed to observe the requests of ophthalmic preparations in community pharmacies in Amman, Jordan, and evaluating the most popular and frequently requested ophthalmic drops suspected of abuse. Also, it aimed to describe the current methods that Jordanian community pharmacists use to manage such requests. Methods: A prospective cross-sectional observational study was conducted between November 2016 and January 2017 at sixteen different community pharmacies in Amman. All ophthalmic products requested were observed during this period. Results: A total of 140 ophthalmic product requests for 130 customers were observed. Dry eye was the most common complaint for which the customer requested the medication (n = 30, 23.1%) and direct self-medication (ie-requesting the product by name), was the most frequent method of purchase (n = 63, 48.5%). In 19 cases (14.6%), product requests were suspected to be for non-medical (ie-abuse) purposes. Most of the suspected cases were for Pentolate® (n = 11, 57.9%), whereas 7 were for Prisoline® (36.8%) and 1 for Naphcon-A® (5.3%). The majority of observed cases were for products requested without a prescription (n = 16, 84.2%), and in 12 cases out of which, sale was refused (63.2%). Conclusion: More effort and enforcement of pharmacy regulation for safe dispensing is needed to reduce the abuse of ophthalmic products. Educating pharmacists and ophthalmologists would help raise awareness and control the type of drug abuse. © 2019 Elsevier Inc

A Bayesian approach to inverse modelling of stratigraphy, part 1: method

International audienceThe inference of ancient environmental conditions from their preserved response in the sedimentary record still remains an outstanding issue in stratigraphy. Since the 1970s, conceptual stratigraphic models (e.g. sequence stratigraphy) based on the underlying assumption that accommodation space is the critical control on stratigraphic architecture have been widely used. Although these methods considered more recently other possible parameters such as sediment supply and transport efficiency, they still lack in taking into account the full range of possible parameters, processes, and their complex interactions that control stratigraphic architecture. In this contribution, we present a new quantitative method for the inference of key environmental parameters (specifically sediment supply and relative sea level) that control stratigraphy. The approach combines a fully non-linear inversion scheme with a 'process­response' forward model of stratigraphy. We formulate the inverse problem using a Bayesian framework in order to sample the full range of possible solutions and explicitly build in prior geological knowledge. Our methodology combines Reversible Jump Markov chain Monte Carlo and Simulated Tempering algorithms which are able to deal with variable-dimensional inverse problems and multi-modal posterior probability distributions, respectively. The inverse scheme has been linked to a forward stratigraphic model, BARSIM (developed by Joep Storms, University of Delft), which simulates shallow-marine wave/storm-dominated systems over geological timescales. This link requires the construction of a likelihood function to quantify the agreement between simulated and observed data of different types (e.g. sediment age and thickness, grain size distributions). The technique has been tested and validated with synthetic data, in which all the parameters are specified to produce a 'perfect' simulation, although we add noise to these synthetic data for subsequent testing of the inverse modelling approach. These tests addressed convergence and computational-overhead issues, and highlight the robustness of the inverse scheme, which is able to assess the full range of uncertainties on the inferred environmental parameters and facies distributions