Dynamic Policy Modeling for Chronic Diseases: Metaheuristic-Based Identification of Pareto-Optimal Screening Strategies

2010 ◽  
Vol 58 (5) ◽  
pp. 1269-1286 ◽  
Author(s):  
Marion S. Rauner ◽  
Walter J. Gutjahr ◽  
Kurt Heidenberger ◽  
Joachim Wagner ◽  
Joseph Pasia
Keyword(s):  
Chronic Diseases ◽  
Pareto Optimal ◽  
Policy Modeling ◽  
Screening Strategies ◽  
Optimal Screening ◽  
Dynamic Policy

scholarly journals FRAX or Fiction: Determining Optimal Screening Strategies for Treatment of Osteoporosis in Residents in Long-Term Care Facilities

2012 ◽  
Vol 60 (4) ◽  
pp. 684-690 ◽  
Author(s):  
Susan L. Greenspan ◽  
Subashan Perera ◽  
David Nace ◽  
Kimberly S. Zukowski ◽  
Mary A. Ferchak ◽  
...  
Keyword(s):  
Long Term Care ◽  
Term Care ◽  
Treatment Of Osteoporosis ◽  
Screening Strategies ◽  
Care Facilities ◽  
Optimal Screening

scholarly journals Toward optimal screening strategies for older women

2005 ◽  
Vol 20 (6) ◽  
pp. 487-496 ◽  
Author(s):  
Jeanne S. Mandelblatt ◽  
◽  
Clyde B. Schechter ◽  
K. Robin Yabroff ◽  
William Lawrence ◽  
...  
Keyword(s):  
Older Women ◽  
Screening Strategies ◽  
Optimal Screening

scholarly journals SARS-CoV-2 screening: effectiveness and risk of increasing transmission

2021 ◽  
Vol 18 (180) ◽  
pp. 20210164
Author(s):  
Jordan P. Skittrall
Keyword(s):  
Viral Transmission ◽  
Testing Strategy ◽  
Behavioural Interventions ◽  
Sample Handling ◽  
Test Sensitivity ◽  
Laboratory Capacity ◽  
Screening Strategies ◽  
Optimal Screening ◽  
Screening Effectiveness ◽  
Selection Of

Testing asymptomatic people for SARS-CoV-2 aims to reduce COVID-19 transmission. Screening programmes’ effectiveness depends upon testing strategy, sample handling logistics, test sensitivity and individual behaviour, in addition to dynamics of viral transmission. The interaction between these factors is not fully characterized. We investigated the interaction between these factors to determine how to optimize reduction of transmission. We estimate that under idealistic assumptions 70% of transmission may be averted, but under realistic assumptions only 7% may be averted. We show that programmes that overwhelm laboratory capacity or reduce isolation of those with minor symptoms have increased transmission compared with those that do not: programmes need to be designed to avoid these issues, or they will be ineffective or even counter-productive. Our model allows optimal selection of whom to test, quantifies the balance between accuracy and timeliness, and quantifies potential impacts of behavioural interventions. We anticipate our model can be used to understand optimal screening strategies for other infectious diseases with substantially different dynamics.

Comorbidity-Adjusted Life Expectancy: A New Tool to Inform Recommendations for Optimal Screening Strategies

2013 ◽  
Vol 159 (10) ◽  
pp. 667 ◽  
Author(s):  
Hyunsoon Cho ◽  
Carrie N. Klabunde ◽  
K. Robin Yabroff ◽  
Zhuoqiao Wang ◽  
Angela Meekins ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Screening Strategies ◽  
Optimal Screening

scholarly journals Congenital dislocation of the hip: Optimal screening strategies in 2014

2014 ◽  
Vol 100 (6) ◽  
pp. S339-S347 ◽  
Author(s):  
P. Wicart ◽  
A. Bocquet ◽  
N. Gelbert ◽  
G. Beley ◽  
R. Proslier ◽  
...  
Keyword(s):  
Congenital Dislocation ◽  
Screening Strategies ◽  
Optimal Screening ◽  
Dislocation Of The Hip

scholarly journals Early Screening Strategies for Diabetes Mellitus by Leveraging Dental Visits Using Optimal Screening Tools Available Onsite

Cureus ◽  
2018 ◽  
Author(s):  
Wasique Mirza ◽  
Muhammad Sabih Saleem ◽  
Gaurav Patel ◽  
Pravin Chacko ◽  
Sandhya Reddy ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Screening Tools ◽  
Early Screening ◽  
Dental Visits ◽  
Screening Strategies ◽  
Optimal Screening
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