| Applying the epidemiologic problem oriented approach (EPOA) methodology in developing a knowledge base for the modeling of HIV/AIDS. | |
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MedLine Citation:
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PMID: 20521410 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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INTRODUCTION: In the epidemiologic modeling of diseases, the epidemiologic problem oriented approach (EPOA) methodology facilitates the development of systematic and structured knowledge bases, which are crucial for development of models. A detailed understanding of the epidemiology of a given disease provides the essential framework for model development and enables the laying out of the comprehensive and fundamental structures for the models. OBJECTIVE: To develop such a knowledge base for developing HIV/AIDS models. METHODS: The EPOA methodology was utilized to develop the knowledge base for HIV/AIDS; it is composed of six pillars within two triads: the Problem Identification/Characterization and the Problem Management/Solution/Mitigation Triads, interlinked by the diagnostic procedure. RESULTS: Using information from various sources, the triads are decomposed into their respective pillar variables and parameters. The agent pillar identifies the causative agent (HIV) and its characteristics. The host pillar identifies and characterizes the host (human). The environment pillar characterizes the physical, biological and socioeconomic environments for both the host and agent. The therapeutics/treatment pillar considers the treatment options for HIV/AIDS. The prevention/control pillar considers prevention and control measures. The health maintenance/health promotion pillar considers measures for the health maintenance of the population. CONCLUSION: Models for HIV/AIDS can be conceptual, in vivo or in vitro, systems analysis, mathematical, or computational just to name a few. The knowledge base developed using the EPOA methodology provides a well-organized structured source of information, which is used in the variable and parameter estimations as well as analysis (biological, mathematical, statistical and computer simulations), which are crucial in epidemiologic modeling of HIV/AIDS. EPOA methodology has become an important tool in the development of models that can enlighten decision making in public health. |
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Authors:
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David Nganwa; Tsegaye Habtemariam; Berhanu Tameru; Gemechu Gerbi; Asseged Bogale; Vinaida Robnett; Wanda Wilson |
Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural |
Journal Detail:
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Title: Ethnicity & disease Volume: 20 ISSN: 1049-510X ISO Abbreviation: Ethn Dis Publication Date: 2010 |
Date Detail:
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Created Date: 2010-06-03 Completed Date: 2010-08-12 Revised Date: 2011-08-01 |
Medline Journal Info:
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Nlm Unique ID: 9109034 Medline TA: Ethn Dis Country: United States |
Other Details:
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Languages: eng Pagination: S1-173-7 Citation Subset: IM |
Affiliation:
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Center for Computational Epidemiology, Bioinformatics and Risk Analysis, College of Veterinary Medicine, Nursing and Allied Health, Tuskegee University, Tuskegee, AL 36088, USA. nganwad@tuskegee.edu |
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| MeSH Terms | |
Descriptor/Qualifier:
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Acquired Immunodeficiency Syndrome
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epidemiology Computational Biology Decision Making Epidemiologic Methods HIV Infections / epidemiology* Health Promotion Humans Knowledge Bases* Systems Analysis |
| Grant Support | |
ID/Acronym/Agency:
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2G12RR03059-16/RR/NCRR NIH HHS; G12 RR003059-22/RR/NCRR NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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