A proposal for the determination of a Protected Natural Area (PNA) of the Wirikuta zone in the state of San Luis Potosi, México

The Wixárika route was declared by the Government of the State of San Luis Potosí with a first proposal for a polygon as a state reserve area on 27th of October, 2000, and in 2001 the category of Natural Sacred Site is awarded. Initially, this region had an original area of 138,750 ha. Subsequently, the Federal Government of Mexico, through the National Commission of Protected Natural Areas (CONANP), creates the "Preliminary Justification Study", where a larger polygon is proposed, including the Sacred Natural Sites for the Wixárika within the reserve. On the 3rd of November 2012, a group formed by scientists and researchers discussed the study carried out, in which they argued that the limits of the Reserve should respond to natural criteria defined by the watersheds of the basins, rather than linear geometric criteria, thus protecting hydrogeological, eco-systematic and social dynamics. So it is proposed adding to the previous polygon the water area of the basin, which represented an increase of 65,437.41 ha to the previously recognized within the PNA, decreeing a total area of 256,946.32 ha, according to the basin limit. However, after analyzing the zone, it was observed that other important elements were not analyzed in-depth and must be considered, such as; physiological, hydrological and topographical elements, meteorological and climatological phenomena, hydrogeology of the area as an adequate element of the basin delimitation, establishment and location of mining concessions. Also, fauna, flora and vegetation of the area were not studied. Thus, an evaluation of the soil was considered recognizing its relationship with toxic elements that could persist in the area. Similarly, an attempt was contemplated, including economic and social elements of the place. Consequently, it was proposed to expand the polygon, covering a new area of 293,388.42 ha. This expansion included all the elements described. © Published under licence by IOP Publishing Ltd

Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI