scholarly journals Analyzing the spatial distribution of individuals predisposed to arterial hypertension in Saint Petersburg using synthetic populations

2020 ◽  
Vol 31 ◽  
pp. 03002 ◽  
Author(s):  
Vasiliy N. Leonenko ◽  
Sergey V. Kovalchuk
Keyword(s):  
Spatial Distribution ◽  
Arterial Hypertension ◽  
Population Data ◽  
Real Data ◽  
Hypertension Status ◽  
Healthcare Facilities ◽  
Saint Petersburg ◽  
Synthetic Populations ◽  
Medical Institutions ◽  
And Gender

Arterial hypertension (AH) is one of the most common cardiovascular diseases, and it can lead to serious complications. To optimize the delivery of patients exposed to AH to medical institutions and thus to curtail mortality in Russian cities caused by the consequences of hypertension, it is necessary to estimate the number of potential patients, along with their spatial distribution. This paper presents a method which uses synthetic population data to assess the spatial distribution of individuals potentially prone to arterial hypertension. The risk of arterial hypertension of an individual is calculated based on its demographic characteristics (age and gender). Using Saint Petersburg as a case study, we demonstrate that the mentioned approach makes it possible to perform predictions of AH cases distribution in absence of real data on hypertension status of the individuals. The results of the study will be used to assess the input flows of patients to healthcare facilities and optimize their workflow.

The HeLa Bomb and the Science of Unveiling

2016 ◽  
Vol 2 (2) ◽  
pp. 1-30 ◽  
Author(s):  
Sandra Harvey
Keyword(s):  
Cultural Studies ◽  
Hela Cell ◽  
Sexual Desire ◽  
State Building ◽  
Social Progress ◽  
Scientific Journals ◽  
Science Journalism ◽  
Medical Institutions ◽  
A Cell ◽  
And Gender

This essay reads the narratives of HeLa cell contamination as accusations of racial and gender passing. It argues that the passing narrative is much more complex, rarely confined to an individual’s autonomous will, and far more entrenched in state building and concepts of social progress than previously considered. I urge us to move away from the desire of the passing subject, and back to our own to ask after the sort of anxiety, excitement, and panic that animate our attempts to see, classify, and regulate bodies. Thus, what becomes significant is an examination of an “ethics of knowing” within science. The paper draws on a collection of correspondence, lab notes, published articles, and newspaper clippings related to Henrietta Lacks and HeLa from the George O. Gey Collection at the Medical Archives of the Johns Hopkins Medical Institutions (1918-1974) and articles on HeLa published in scientific journals, science journalism, and cultural studies articles (1950-present). In doing so, it traces the narratives of science (and its complex of industries—journalism and cultural studies) and HeLa’s passing. Tracing the reactions to HeLa contamination, the paper asks after the ways national, racial, and sexual desire, fantasy, anxiety, and paranoia have animated the cells through time. Particularly it examines the agency of HeLa, a cell line that is passed through race and genders and ideas of mortality, as it makes clear its own vital, creative, and destructive forces.

Future Costs of Long-term Care in Japan and Sweden

2017 ◽  
Vol 48 (1) ◽  
pp. 128-147 ◽  
Author(s):  
Mårten Lagergren ◽  
Noriko Kurube ◽  
Yasuhiko Saito
Keyword(s):  
Long Term Care ◽  
Population Change ◽  
Population Aging ◽  
Population Data ◽  
Epidemiological Data ◽  
The Other ◽  
Age Group ◽  
Term Care ◽  
And Gender

Population aging is expected to increase long-term care (LTC) costs in both Japan and Sweden. This study projected LTC costs for 2010 through 2040 for different assumptions of population change, LTC need by age group and gender, and LTC provided per level of need and cost in Japan and Sweden. Population data were taken from the official national forecasts. Needs projections were based on epidemiological data from the Nihon University Japanese Longitudinal Study of Aging and the Swedish Survey of Living Conditions. Data on LTC provision by need and cost were taken from nine Japanese municipalities collected by assessments in the LTC insurance system and from surveys in eight Swedish municipalities. Total initial costs were calibrated to official national figures. Two projections based on two different scenarios were made for each country from 2010 to 2040. The first scenario assumed a constant level of need for LTC by age group and gender, and the other assumed a continuation of the present LTC need trends until 2025. For Japan, this resulted in a projected cost increase of 93% for the one and 80% for the other; for Sweden it was 52% and 24%, respectively. The results reflected differences in population aging and health development.

scholarly journals mixIndependR: a R package for statistical independence testing of loci in database of multi-locus genotypes

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Bing Song ◽  
August E. Woerner ◽  
John Planz
Keyword(s):  
Population Genetics ◽  
Linkage Disequilibrium ◽  
Genetic Markers ◽  
Software Package ◽  
Tandem Repeats ◽  
Population Data ◽  
Real Data ◽  
R Package ◽  
Nucleotide Polymorphisms ◽  
Mutual Independence

Abstract Background Multi-locus genotype data are widely used in population genetics and disease studies. In evaluating the utility of multi-locus data, the independence of markers is commonly considered in many genomic assessments. Generally, pairwise non-random associations are tested by linkage disequilibrium; however, the dependence of one panel might be triplet, quartet, or other. Therefore, a compatible and user-friendly software is necessary for testing and assessing the global linkage disequilibrium among mixed genetic data. Results This study describes a software package for testing the mutual independence of mixed genetic datasets. Mutual independence is defined as no non-random associations among all subsets of the tested panel. The new R package “mixIndependR” calculates basic genetic parameters like allele frequency, genotype frequency, heterozygosity, Hardy–Weinberg equilibrium, and linkage disequilibrium (LD) by mutual independence from population data, regardless of the type of markers, such as simple nucleotide polymorphisms, short tandem repeats, insertions and deletions, and any other genetic markers. A novel method of assessing the dependence of mixed genetic panels is developed in this study and functionally analyzed in the software package. By comparing the observed distribution of two common summary statistics (the number of heterozygous loci [K] and the number of share alleles [X]) with their expected distributions under the assumption of mutual independence, the overall independence is tested. Conclusion The package “mixIndependR” is compatible to all categories of genetic markers and detects the overall non-random associations. Compared to pairwise disequilibrium, the approach described herein tends to have higher power, especially when number of markers is large. With this package, more multi-functional or stronger genetic panels can be developed, like mixed panels with different kinds of markers. In population genetics, the package “mixIndependR” makes it possible to discover more about admixture of populations, natural selection, genetic drift, and population demographics, as a more powerful method of detecting LD. Moreover, this new approach can optimize variants selection in disease studies and contribute to panel combination for treatments in multimorbidity. Application of this approach in real data is expected in the future, and this might bring a leap in the field of genetic technology. Availability The R package mixIndependR, is available on the Comprehensive R Archive Network (CRAN) at: https://cran.r-project.org/web/packages/mixIndependR/index.html.

scholarly journals Empirical Bayesian regression model for estimation of small rates

2012 ◽  
Vol 53 ◽  
Author(s):  
Gintautas Jakimauskas ◽  
Leonidas Sakalauskas
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Population Data ◽  
Real Data ◽  
Simulation Method ◽  
Bayesian Regression ◽  
Distribution Model ◽  
Estimation Model ◽  
Hospital Discharges ◽  
Large Populations

The efficiency of adding an auxiliary regression variable to the logit model in estimation of small probabilities in large populations is considered. Let us consider two models of distribution of unknown probabilities: the probabilities have gamma distribution (model (A)), or logits of the probabilities have Gaussian distribution (model (B)). In modification of model (B) we will use additional regression variable for Gaussian mean (model (BR)). We have selected real data from Database of Indicators of Statistics Lithuania – Working-age persons recognized as disabled for the first time by administrative territory, year 2010 (number of populations K = 60). Additionally, we have used average annual population data by administrative territory. The auxiliary regression variable was based on data – Number of hospital discharges by administrative territory, year 2010. We obtained initial parameters using simple iterative procedures for models (A), (B) and (BR). At the second stage we performed various tests using Monte-Carlo simulation (using models (A), (B) and (BR)). The main goal was to select an appropriate model and to propose some recommendations for using gamma and logit (with or without auxiliary regression variable) models for Bayesian estimation. The results show that a Monte Carlo simulation method enables us to determine which estimation model is preferable.

Non-invasive assessment of endothelial activity in patients with coronary heart disease and cardiovascular risk factors

VASA ◽  
2008 ◽  
Vol 37 (2) ◽  
pp. 137-142 ◽  
Author(s):  
Fronek ◽  
Allison
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Cvd Risk ◽  
Hypertension Status ◽  
The Difference ◽  
Highly Correlated ◽  
And Gender

Background: The aim of this study was first to compare the widely used flow mediated dilation ( FMD ) method with the iontophoretically induced acetylcholine vasodilation (IAV ) procedure. The ultimate goal was to examine the endothelial activity ( EA ) in patients with various cardiovascular risk factors compared with control subjects. Patients and methods: In the upper extremities of 27 subjects, comparisons of EA by FMD and IAV measured with laser Doppler flux method (LDF) were conducted. IAV-EA was then measured using LDF in an additional 93 subjects with various cardiovascular ( CVD ) risk factors and/or a diagnosis of coronary heart disease (CHD). Results: The mean age of the subjects was 56.2 years and 54% were male. There was a robust and significant correlation between FMD vs IAV endothelial activity (r = 0.87, p = 0.025). After adjustment for age, there were significant differences in LDF-measured, acetylcholine-induced EA by diagnosis of CHD (p = 0.02), hyperlipidemia (p = 0.03) and diabetes (p < 0.01), as well as by sex (p < 0.01). The difference by hypertension status was of borderline significance (p = 0.07). LDF EA was higher in non-smokers compared to smokers but this difference was not statistically significant (p = 0.3). After adjustment for age and gender, a 10-unit increase in LDF-measured EA was associated with a 12% lower odds for a diagnosis of CHD (p = 0.07). Conclusions: Measurement of IAV-EA by LDF is a simple, noninvasive methodology which is highly correlated with post-occlusive FMD EA and is also significantly associated with a diagnosis of CHD.

P1.33 PREDICTORS OF ARTERIAL MARKERS IN METABOLIC SYNDROME PATIENTS: ARTERIAL HYPERTENSION AND GENDER OUTBID DYSLIPIDEMIA

2012 ◽  
Vol 6 (4) ◽  
pp. 160
Author(s):  
L. Ryliskyte ◽  
Z. Visockiene ◽  
K. Ryliskiene ◽  
R. Navickas ◽  
J. Badariene ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Arterial Hypertension ◽  
And Gender

scholarly journals Monofractal or multifractal: a case study of spatial distribution of mining-induced seismic activity

1994 ◽  
Vol 1 (2/3) ◽  
pp. 182-190 ◽  
Author(s):  
M. Eneva
Keyword(s):  
Spatial Distribution ◽  
Seismic Activity ◽  
Real Data ◽  
Data Sets ◽  
Point Sets ◽  
Data Set ◽  
Limited Size ◽  
The Real ◽  
Induced Seismic Activity ◽  
Generalized Correlation

Abstract. Using finite data sets and limited size of study volumes may result in significant spurious effects when estimating the scaling properties of various physical processes. These effects are examined with an example featuring the spatial distribution of induced seismic activity in Creighton Mine (northern Ontario, Canada). The events studied in the present work occurred during a three-month period, March-May 1992, within a volume of approximate size 400 x 400 x 180 m3. Two sets of microearthquake locations are studied: Data Set 1 (14,338 events) and Data Set 2 (1654 events). Data Set 1 includes the more accurately located events and amounts to about 30 per cent of all recorded data. Data Set 2 represents a portion of the first data set that is formed by the most accurately located and the strongest microearthquakes. The spatial distribution of events in the two data sets is examined for scaling behaviour using the method of generalized correlation integrals featuring various moments q. From these, generalized correlation dimensions are estimated using the slope method. Similar estimates are made for randomly generated point sets using the same numbers of events and the same study volumes as for the real data. Uniform and monofractal random distributions are used for these simulations. In addition, samples from the real data are randomly extracted and the dimension spectra for these are examined as well. The spectra for the uniform and monofractal random generations show spurious multifractality due only to the use of finite numbers of data points and limited size of study volume. Comparing these with the spectra of dimensions for Data Set 1 and Data Set 2 allows us to estimate the bias likely to be present in the estimates for the real data. The strong multifractality suggested by the spectrum for Data Set 2 appears to be largely spurious; the spatial distribution, while different from uniform, could originate from a monofractal process. The spatial distribution of microearthquakes in Data Set 1 is either monofractal as well, or only weakly multifractal. In all similar studies, comparisons of result from real data and simulated point sets may help distinguish between genuine and artificial multifractality, without necessarily resorting to large number of data.

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