INTRODUCTION: A cross-sectional survey GENERATE (GEospatial aNalysis of ExtRacorporeal membrane oxygenATion in Europe) initiated on behalf of the European chapter of the Extracorporeal Life Support Organization (EuroELSO), aims to provide a systematic, detailed description of contemporary Extracorporeal Life Support (ECLS) provision in Europe, map the spatial distribution of ECLS centers, and the accessibility of ECLS. METHODS: Structured data collection forms were used to create a narrative description of ECLS provision in EuroELSO affiliated countries. This consisted of both center-specific data and relevant national infrastructure. Data was provided by a network of local and national representatives. Spatial accessibility analysis was conducted where appropriate geographical data were available. RESULTS: 281 centers from 37 countries affiliated to EuroELSO were included in the geospatial analysis and demonstrate heterogeneous patterns of ECLS provision. Accessibility of ECLS services within 1 hour of drive-time is available for 50% of the adult population in 8 of 37 countries (21.6%). This proportion is reached within 2 hours in 21 of 37 countries (56.8%) and within 3 hours in 24 of 37 countries (64.9%). For pediatric centers, accessibility is similar with 9 of 37 countries (24.3%) reached the covering of 50% of the population aged 0-14 within 1 hour and 23 of 37 countries (62.2%) within 2 hours and 3 hours. CONCLUSIONS: ECLS services are accessible in most of the European countries, but their provision differs across the continent. There is still no solid evidence given regarding the optimal ECLS provision model. The spatial disparity in ECLS provision demonstrated in our analysis requires governments, healthcare professionals and policy makers to consider how to develop existing provision to accommodate the anticipated increase in need for time critical access to this advanced support modality.

• Klíčová slova
• ECLS, ECMO, extracorporeal life support, extracorporeal membrane oxygenation, geospatial analysis, regionalization,
• MeSH
• dítě MeSH
• dospělí MeSH
• lidé MeSH
• mimotělní membránová oxygenace * MeSH
• průřezové studie MeSH
• Check Tag
• dítě MeSH
• dospělí MeSH
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Evropa MeSH

Groundwater is the second largest water source for daily consumption, only next to surface water resources. Groundwater has been extensively investigated for its pollution level in urban areas. The groundwater quality assessments in industrial areas associated with every urban landscape are still lacking. This study was carried out in two industrial areas including Okhla and Mohan cooperative in New Delhi, India. The six groundwater samples were obtained for water quality assessment for 2015 and 2018. The heavy metals investigated in water samples were Cu, As, Pb, Mn, Ni, Zn, Fe, Cr, and Mn. The water quality was assessed in the heavy metals index (MI) and heavy metal pollution index (HPI). From indexing approach, it was observed that pollution levels have increased in year 2018 as compared to the year 2015. MI < 1 for Cu in 2015 and 2018 in both industrial areas. In the case of remaining metals, MI ranged from 2.5 to 8.4. When the HPI indexing approach was adopted, water was unfit for drinking in both industrial areas in 2015 and 2018, with an HPI value > 100. Non-carcinogenic risk assessment (HI) ranged from 1.7 to 1.9 in 2015, increasing from 17.41 to 217 in 2018, indicating high risk in both years. Carcinogenic risk (CR) was within the acceptable range for 48% of each heavy metal analysed sample. When the Carcinogenic risk index was considered (CRI), all samples were beyond the acceptable range, and every person was prone to carcinogenic risk in 2015.

• Klíčová slova
• Groundwater pollution, Hazard quotient index, Health risk assessment, Heavy metal, Industry, Water quality index,
• MeSH
• chemické látky znečišťující vodu * analýza   MeSH
• hodnocení rizik MeSH
• karcinogeny analýza   MeSH
• kvalita vody MeSH
• lidé MeSH
• monitorování životního prostředí MeSH
• podzemní voda * analýza   MeSH
• těžké kovy * analýza   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• chemické látky znečišťující vodu * MeSH
• karcinogeny MeSH
• těžké kovy * MeSH

OBJECTIVES: A growing body of research has incorporated the Social Vulnerability Index (SVI) into an expanded understanding of the social determinants of health. Although each component of SVI and its association with individual-level mental health conditions have been well discussed, variation in mentally unhealthy days (MUDs) at a county level is still unexplored. To systematically examine the geographically varying relationships between SVI and MUDs across the US counties, our study adopted two different methods: 1) aspatial regression modeling (ordinary least square [OLS]); and 2) locally calibrated spatial regression (geographically weighted regression [GWR]). STUDY DESIGN: This study used a cross-sectional statistical design and geospatial data manipulation/analysis techniques. Analytical unit is each of the 3109 counties in the continental USA. METHODS: We tested the model performance of two different methods and suggest using both methods to reduce potential issues (e.g., Simpson's paradox) when researchers apply aspatial analysis to spatially coded data sets. We applied GWR after checking the spatial dependence of residuals and non-stationary issues in OLS. GWR split a single OLS equation into 3109 equations for each county. RESULTS: Among 15 SVI variables, a combination of eight variables showed the best model performance. Notably, unemployment, person with a disability, and single-parent households with children aged under 18 years especially impacted the variation of MUDs in OLS. GWR showed better model performance than OLS and specified each county's varying relationships between subcomponents of SVI and MUDs. For example, GWR specified that 69.3% (2157 of 3109) of counties showed positive relationships between single-parent households and MUDs across the USA. Higher positive relationships were concentrated in Michigan, Kansas, Texas, and Louisiana. CONCLUSIONS: Our findings could contribute to the literature regarding social determinants of community mental health by specifying spatially varying relationships between SVI and MUDs across US counties. Regarding policy implementation, in counties containing more social and physical minorities (e.g., single-parent households and disabled population), policymakers should attend to these groups of people and increase intervention programs to reduce potential or current mental health illness. The results of GWR could help policymakers determine the specific counties that need more support to reduce regional mental health disparities.

• Klíčová slova
• Geographically weighted regression, Mentally unhealthy days (MUDs), Social Vulnerability Index, Spatial modeling,
• MeSH
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• prostorová analýza MeSH
• prostorová regrese * MeSH
• průřezové studie MeSH
• sociální zranitelnost * MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Michigan MeSH

Monitoring global biodiversity from space through remotely sensing geospatial patterns has high potential to add to our knowledge acquired by field observation. Although a framework of essential biodiversity variables (EBVs) is emerging for monitoring biodiversity, its poor alignment with remote sensing products hinders interpolation between field observations. This study compiles a comprehensive, prioritized list of remote sensing biodiversity products that can further improve the monitoring of geospatial biodiversity patterns, enhancing the EBV framework and its applicability. The ecosystem structure and ecosystem function EBV classes, which capture the biological effects of disturbance as well as habitat structure, are shown by an expert review process to be the most relevant, feasible, accurate and mature for direct monitoring of biodiversity from satellites. Biodiversity products that require satellite remote sensing of a finer resolution that is still under development are given lower priority (for example, for the EBV class species traits). Some EBVs are not directly measurable by remote sensing from space, specifically the EBV class genetic composition. Linking remote sensing products to EBVs will accelerate product generation, improving reporting on the state of biodiversity from local to global scales.

• MeSH
• benchmarking * MeSH
• biodiverzita MeSH
• ekosystém * MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH

Inspired by local outbreaks of campylobacteriosis in the Czech Republic in 2010 linked to the debate about alleged health risks of the raw milk consumption, a detailed study was carried out. Firstly, scanning was utilised to identify spatio-temporal clusters of the disease from 2008 to 2012. Then a spatial method (geographical profiling originally developed for criminology) served as assessment in selecting fresh-milk vending machines that could have contributed to some of the local campylobacteriosis outbreaks. Even though an area of increased relative risk of the disease was identified in the affected city of České Budějovice during January and February 2010, geoprofiling did not identify any vending machines in the area as the potential source. However, possible sources in some nearby cities were suggested. Overall, 14 high-rate clusters including the localisation of 9% of the vending machines installed in the Czech Republic were found in the period 2008-2012. Although the vending machines are subject to strict hygiene standards and regular testing, a potential link between a small number of them and the spatial distribution of campylobacteriosis has been detected in the Czech Republic. This should be taken into account in public health research of the disease.

• Klíčová slova
• Campylobacteriosis, Czech Republic, Fresh milk, Geoprofiling, Spatiotemporal clustering,
• MeSH
• časoprostorová analýza * MeSH
• epidemický výskyt choroby MeSH
• kampylobakterové infekce epidemiologie   MeSH
• lidé MeSH
• mléko mikrobiologie   MeSH
• potravinářská mikrobiologie MeSH
• prodejní automaty na potraviny * MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika epidemiologie   MeSH

We performed a genome-wide association study (GWAS) of IgA nephropathy (IgAN), the most common form of glomerulonephritis, with discovery and follow-up in 20,612 individuals of European and East Asian ancestry. We identified six new genome-wide significant associations, four in ITGAM-ITGAX, VAV3 and CARD9 and two new independent signals at HLA-DQB1 and DEFA. We replicated the nine previously reported signals, including known SNPs in the HLA-DQB1 and DEFA loci. The cumulative burden of risk alleles is strongly associated with age at disease onset. Most loci are either directly associated with risk of inflammatory bowel disease (IBD) or maintenance of the intestinal epithelial barrier and response to mucosal pathogens. The geospatial distribution of risk alleles is highly suggestive of multi-locus adaptation, and genetic risk correlates strongly with variation in local pathogens, particularly helminth diversity, suggesting a possible role for host-intestinal pathogen interactions in shaping the genetic landscape of IgAN.

• MeSH
• antigeny CD11b genetika   MeSH
• celogenomová asociační studie MeSH
• genetická pleiotropie genetika   MeSH
• genetické lokusy genetika   MeSH
• HLA-D antigeny genetika   MeSH
• IgA nefropatie genetika   MeSH
• imunita genetika   MeSH
• interakce hostitele a patogenu genetika   MeSH
• jednonukleotidový polymorfismus genetika   MeSH
• lidé MeSH
• protoonkogenní proteiny c-vav genetika   MeSH
• signální adaptorové proteiny CARD genetika   MeSH
• střeva imunologie   parazitologie   MeSH
• věk při počátku nemoci MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• metaanalýza MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Názvy látek
• antigeny CD11b MeSH
• CARD9 protein, human MeSH Prohlížeč
• HLA-D antigeny MeSH
• ITGAM protein, human MeSH Prohlížeč
• protoonkogenní proteiny c-vav MeSH
• signální adaptorové proteiny CARD MeSH
• VAV3 protein, human MeSH Prohlížeč

Early in the Ptolemaic era, Egyptian cults, particularly those of Isis and Sarapis, spread successfully to ports across the ancient Aegean Sea. Leading researchers in the field claim that the spread of these cults was influenced by multiple factors, ones that were mainly economic or political in character. However, the question of which factors had more weight or impact than others in the process of the early spread of Egyptian cults has not yet been answered in academic discussion. This could be related to the fact that the issue of the spread of religious innovations in the ancient Mediterranean has been addressed mainly by established historiographical methods such as the collection and critical analysis of archaeological and literary sources. Hypotheses and conclusions derived from these methods are, however, often unable to reflect the complexity of historical processes. A possible solution can be found in supplementing this established methodological apparatus by formalized methods, e.g. the coding of relevant datasets, statistics, geospatial modeling, and network analysis. To be able to compare the possible impacts of different factors on the spread of Egyptian cults in the Aegean Sea region, we 1) constructed a model of the ancient maritime transportation network as a platform for quantitative analysis, 2) transformed selected factors of possible influence into georeferenced parameters of the network, and 3) defined a mathematical model that allowed us to determine which parameters of the network explain the spatial dissemination of archaeological evidence connected to Egyptian cults. The results suggest that the most significant correlation is between the placement of Ptolemaic garrisons and the distribution of Egyptian temples and artefacts in the early Hellenistic Aegean Sea region. The interpretation would be that Egyptian military forces potentially played a significant role in the spread of Egyptian cults.

• MeSH
• dějiny starověku MeSH
• kultura * MeSH
• lidé MeSH
• lodě MeSH
• migrace lidstva MeSH
• náboženství dějiny   MeSH
• ostrovy MeSH
• ozbrojené síly MeSH
• teoretické modely MeSH
• vedení války MeSH
• vojenská zařízení dějiny   MeSH
• zásobování potravinami dějiny   MeSH
• Check Tag
• dějiny starověku MeSH
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• historické články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• ostrovy MeSH
• starověký Egypt MeSH
• Středozemní moře MeSH