Framework development in plant disease risk assessment and its application

2007 ◽  
pp. 25-34
Author(s):  
X.B. Yang
Keyword(s):  
Risk Assessment ◽  
Plant Disease ◽  
Disease Risk ◽  
Framework Development

Educated Guesses: Health Risk Assessment in Environmental Impact Statements

1990 ◽  
Vol 16 (3) ◽  
pp. 399-427
Author(s):  
Pamela D. Harvey
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Environmental Impact ◽  
Disease Risk ◽  
National Environmental Policy Act ◽  
The Public ◽  
Environmental Impact Statements ◽  
National Environmental ◽  
Scientific Tool ◽  
Predicted Risk

Environmental pollution threatens public health. The search for solutions has advanced the frontiers of science and law. Efforts to protect the environment and public health begin with describing potential adverse consequences of human activities and characterizing the predicted risk. The National Environmental Policy Act requires the preparation of environmental impact statements to describe the effects of proposed federal projects and provide information for agency decisionmakers and the public.Risks to public health are particularly difficult to quantify because of uncertainty about the relation between exposure to environmental contamination and disease. Risk assessment is the current scientific tool to present estimates of risk. The methodology has created controversy, however, when underlying assumptions and uncertainties are not clearly presented. Critics caution that the methodology is vulnerable to bias. This Note evaluates the use of risk assessment in the environmental impact statement process and offers recommendations to ensure informed decisions.

scholarly journals Information Visualization for Chronic Disease Risk Assessment

2012 ◽  
Vol 27 (6) ◽  
pp. 81-85 ◽  
Author(s):  
Christopher A. Harle ◽  
Daniel B. Neill ◽  
Rema Padman
Keyword(s):  
Risk Assessment ◽  
Chronic Disease ◽  
Information Visualization ◽  
Disease Risk ◽  
Chronic Disease Risk

Framework for Colorectal Cancer Health Needs Assessment in North and Central Asian Countries

2021 ◽  
Vol 6 (09) ◽  
pp. 569-575
Author(s):  
Rebecca Pratiti
Keyword(s):  
Colorectal Cancer ◽  
Risk Assessment ◽  
Disease Risk ◽  
Population Attributable Risk ◽  
National Income ◽  
Risk Indicators ◽  
Asian Countries ◽  
Central Asian ◽  
Central Asian Countries ◽  
Per Capita

Colorectal cancer (CRC) is the third leading cause for cancer worldwide. Prevalence of CRC is increasing in North and Central Asian Countries (NCAC). European guidelines encourage member countries to allocate resources for primary prevention of CRC through screening. Though, cost-effective screening is becoming a priority. A framework for health priority determination to prioritize CRC screening was developed. Public health websites were accessed to abstract epidemiologic data. The framework included prioritization by absolute risk (incidence, prevalence), relative risk (CRC ranking for national cancer deaths) and population attributable risk for the disease. Risk indicators were identified for the NCAC. Further detailed risk assessment scoring was completed to assess the CRC disease burden. Statistical analysis was performed for correlation. Variables included in risk assessment were population, life expectancy, gross national income per capita, percent GDP spent on health expenditure, total expenditure on health per capita, age standardized mortality to incidence ratio, cancer ranking by incidence and smoking prevalence. Risk assessment showed Kyrgyzstan, Georgia, Belarus and Armenia have more than expected CRC burden. Tajikistan, Turkmenistan and Latvia have lower than expected CRC burden. Conclusion: Identifying high CRC burden countries to prioritize screening is important. Uniform and comparable CRC risk indicators for the region is needed. Health need assessment and priority setting is important for better distribution of resources. Countries with lower risk score may implement preventive policy to reduce CRC risk factors and countries with higher risk could adapt mitigating policy for early diagnosis of CRC.

scholarly journals Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 67927-67939 ◽  
Author(s):  
Mohd Usama ◽  
Belal Ahmad ◽  
Jiafu Wan ◽  
M. Shamim Hossain ◽  
Mohammed F. Alhamid ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Big Data ◽  
Convolutional Neural Network ◽  
Disease Risk ◽  
Feature Learning ◽  
Recurrent Connection ◽  
Deep Feature ◽  
Deep Feature Learning

Coronary disease risk assessment in men: Comparison between ASCVD Risk versus Framingham

2017 ◽  
Vol 228 ◽  
pp. 481-487 ◽  
Author(s):  
Natália Maria Maciel Guerra-Silva ◽  
Fernanda Sene Santucci ◽  
Ricardo Castanho Moreira ◽  
Cristiano Massao Tashima ◽  
Simone Cristina Castanho Sabaini de Melo ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Coronary Disease ◽  
Disease Risk ◽  
Ascvd Risk
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