About: An analytic framework to develop policies for testing, prevention, and treatment of two-stage contagious diseases

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: An analytic framework to develop policies for testing, prevention, and treatment of two-stage contagious diseases Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An analytic framework to develop policies for testing, prevention, and treatment of two-stage contagious diseases
Creator	Gautam, N Gautam, Natarajan Goel, P Goel, Piyush Parvin, H Parvin, Hoda
Source	Medline; PMC
abstract	In this paper we consider healthcare policy issues for trading off resources in testing, prevention, and cure of two-stage contagious diseases. An individual that has contracted the two-stage contagious disease will initially show no symptoms of the disease but is capable of spreading it. If the initial stages are not detected which could lead to complications eventually, then symptoms start appearing in the latter stage when it would be necessary to perform expensive treatment. Under a constrained budget situation, policymakers are faced with the decision of how to allocate budget for prevention (via vaccinations), subsidizing treatment, and examination to detect the presence of initial stages of the contagious disease. These decisions need to be performed in each period of a given time horizon. To aid this decision-making exercise, we formulate a stochastic dynamic optimal control problem with feedback which can be modeled as a Markov decision process (MDP). However, solving the MDP is computationally intractable due to the large state space as the embedded stochastic network cannot be decomposed. Hence we propose an asymptotically optimal solution based on a fluid model of the dynamics in the stochastic network. We heuristically fine-tune the asymptotically optimal solution for the non-asymptotic case, and test it extensively for several numerical cases. In particular we investigate the effect of budget, length of planning horizon, type of disease, population size, and ratio of costs on the policy for budget allocation.
has issue date	2012-03-14(xsd:dateTime)
bibo:doi	10.1007/s10479-012-1103-8
bibo:pmid	32214587
has license	no-cc
sha1sum (hex)	670777b45dae78bb6f9a1b089771e31fb897c10f
schema:url	https://doi.org/10.1007/s10479-012-1103-8
resource representing a document's title	An analytic framework to develop policies for testing, prevention, and treatment of two-stage contagious diseases
has PubMed Central identifier	PMC7087586
has PubMed identifier	32214587
schema:publication	Ann Oper Res
resource representing a document's body	covid:670777b45dae78bb6f9a1b089771e31fb897c10f#body_text
is schema:about of	named entity 'TREATMENT' named entity 'EFFECT' named entity 'VACCINATIONS' named entity 'CONSIDER' named entity 'STATE' named entity 'STAGE' named entity 'BUT' named entity 'SPREADING' named entity 'COMPLICATIONS' named entity 'ALLOCATION' named entity 'INTRACTABLE' named entity 'FLUID' named entity 'EXERCISE' named entity 'FINE' named entity 'NOT DETECTED' named entity 'CONSTRAINED' named entity 'SPACE' named entity 'CONTAGIOUS DISEASE' named entity 'PRESENCE OF' named entity 'SITUATION' named entity 'LENGTH' named entity 'NO SYMPTOMS' named entity 'NETWORK' named entity 'POLICIES' named entity 'COSTS' named entity 'RATIO' named entity 'NECESSARY' named entity 'DECISION' named entity 'INITIALLY' named entity 'TESTING' named entity 'CONTAGIOUS DISEASES' named entity 'NON-' named entity 'FEEDBACK' named entity 'TO DETECT' named entity 'STAGE' named entity 'PREVENTION' named entity 'CURE' named entity 'TYPE' named entity 'TEST' named entity 'THESE' named entity 'NEED' named entity 'CASE' named entity 'PREVENTION' named entity 'INDIVIDUAL' named entity 'GIVEN' named entity 'PERIOD' named entity 'HEALTHCARE' named entity 'MODEL OF' named entity 'ISSUES' named entity 'PLANNING' named entity 'TUNE' named entity 'MARKOV DECISION PROCESS' named entity 'EXAMINATION' named entity 'MDP' named entity 'START' named entity 'DECISION-MAKING' named entity 'INVESTIGATE' named entity 'DUE TO' named entity 'PERFORMED' named entity 'LEAD' named entity 'SOLUTION' named entity 'PARTICULAR' named entity 'TESTING' named entity 'CONTROL' named entity 'SYMPTOMS' named entity 'MODELED' named entity 'LARGE' named entity 'FACED' named entity 'BASED' named entity 'DISEASE' named entity 'DYNAMIC' named entity 'EMBEDDED' named entity 'DYNAMICS' named entity 'HOW' named entity 'TREATMENT' named entity 'HORIZON'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software