Population Health Assessment Based on Entropy Modeling of Multidimensional Stochastic Systems

2019 ◽  
pp. 92-105
Author(s):  
Alexander N. Tyrsin ◽  
Garnik G. Gevorgyan
Keyword(s):  
Population Health ◽  
Stochastic Systems ◽  
Health Assessment

Agroenvironmental indicators to evaluate the hygienic pressure of livestock production on population health: Assessment of feasibility and usefulness

2010 ◽  
Vol 105 (1) ◽  
pp. 82-94
Author(s):  
A. Ravel ◽  
S. Brazeau ◽  
P. Berthiaume ◽  
P. Michel ◽  
M. Bigras-Poulin
Keyword(s):  
Population Health ◽  
Health Assessment ◽  
Livestock Production

Linking Birth Certificates with Medicaid Data To Enhance Population Health Assessment

2002 ◽  
Vol 8 (4) ◽  
pp. 38-44 ◽  
Author(s):  
M. Elizabeth Gyllstrom ◽  
Joan L. Jensen ◽  
Jane N. Vaughan ◽  
Susan E. Castellano ◽  
John W. Oswald
Keyword(s):  
Population Health ◽  
Health Assessment ◽  
Birth Certificates

Human health management and life/disease risk assessment: A review

2020 ◽  
Vol 14 ◽  
Author(s):  
Hui-Zhong Li ◽  
Xiang-Dong Liu ◽  
Xin Shi
Keyword(s):  
Risk Assessment ◽  
Human Health ◽  
Population Health ◽  
Health Management ◽  
Disease Risk ◽  
Residual Life ◽  
Economic Status ◽  
Health Assessment ◽  
Research Progress ◽  
Future Research

Background: Modern medical researches show that population health is closely related to population behavior, environmental factors, social and economic conditions, aging and genetic susceptibility. Therefore, it is very important to study the relationship between these factors and population health. Objective: It reviews the latest research progress in population health management and life/disease risk assessment, analyzes the existing problems in relevant researches, and proposes some improvement plans to solve the problems. Methods: It introduces the general methods of human health management and life/disease risk assessment, analyzes the defects of these methods in practical application, and then draws lessons from the methods of industrial system equipment health management and residual life prediction, and puts forward some new ideas to solve the problems. Results: In the study of health assessment, although self-assessment of health is a common method of health variables, its subjectivity and inaccuracy is a problem that cannot be ignored. In life/disease risk assessment studies, medical effect and efficacy are mainly evaluation subjects, and little consideration is given to other factors, such as behaviour, environment, socio-economic status. In the construction of statistical graphs, great individual differences, internal symbiotic variables and external impact variables are seldom considered. Conclusion: This study helps to understand the basic ideas and methods in health management and life/disease risk assessment, and proposes some future research programs based on the author's knowledge background.

Teaching population health to medical students through the community health assessment

2016 ◽  
Vol 28 (4) ◽  
pp. 237-242 ◽  
Author(s):  
Desiree Abu-Odeh ◽  
Alexander J. Martos ◽  
Christine E. Sheffer
Keyword(s):  
Medical Students ◽  
Community Health ◽  
Population Health ◽  
Health Assessment ◽  
Community Health Assessment

scholarly journals Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE)

2020 ◽  
Vol 33 (3) ◽  
pp. 463-467 ◽  
Author(s):  
Pavela G. Bambekova ◽  
Winston Liaw ◽  
Robert L. Phillips ◽  
Andrew Bazemore
Keyword(s):  
Population Health ◽  
Clinical Data ◽  
Health Assessment

scholarly journals To the question of the population health assessment methodology

2013 ◽  
Vol 94 (4) ◽  
pp. 522-526 ◽  
Author(s):  
I P Artyukhov ◽  
N N Medvedeva ◽  
V G Nikolaev ◽  
L V Sindeeva ◽  
N N Nikolaeva
Keyword(s):  
Body Mass Index ◽  
Physical Health ◽  
Population Health ◽  
Body Mass ◽  
Health Assessment ◽  
Functional Condition ◽  
Young Males ◽  
Organ Systems ◽  
Maturation Index ◽  
Index Calculation

Aim. To develop a methodology for individual, group, regional and population health estimation. Methods. Offered methodology includes physical health assessment and assessment of morphologic and functional condition of organ systems in a healthy human. Physical health assessment was performed in 808 young males aged 17-21 years in the city of Krasnoyarsk. Anthropometry, body mass index calculation, Tanner maturation index, ageing speed coefficient calculation by B.B. Gorelkin and A.G. Pinhasov, bioelectrical impedance analysis and statistical analysis were performed. Results. Youth males had a height of 176.87±0.26 sm, body weight of 69.23±0.45 kg. According to calculated body mass index, healthy weight was found in 71.41% males, 12.75% were overweight, 3.96% were obese, 11.88% were underweight. Shoulders and pelvis diameters were assessed as 37.01±0,11 and 27.72±0.09 sm respectively. Tanner maturation index calculation has shown that 54.83±1.20% males were andromorphous, the others had different types of gender inversions: 18.69±0.94% were hynecomorphous, 26.49±1.07% were mesomorphous. Ageing speed coefficient calculation has revealed the discrepancy of calendar and biologic age (the latter was higher) in all hynecomorphous young males, meaning that hynecomorphism can be estimated as a predictor of early ageing and can be used in complex health assessment. The core of the offered methodology for population health estimation is the health assessment on all stages of ontogenesis, including all levels from organism to molecular, that would allow to develop the standards for health assessment and assessment of morphologic and functional condition of organ systems. Conclusion. The listed methods would allow to estimate organism’s morphologic and functional condition, and revealed physical development abnormalities would allow to correct them timely before the clinical onset of any diseases.

scholarly journals Population Health Assessment in NCI-Designated Cancer Center Catchment Areas

2019 ◽  
Vol 28 (3) ◽  
pp. 428-430 ◽  
Author(s):  
Kelly D. Blake ◽  
Henry P. Ciolino ◽  
Robert T. Croyle
Keyword(s):  
Population Health ◽  
Health Assessment ◽  
Cancer Center ◽  
Catchment Areas
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