Matches in SemOpenAlex for { <https://semopenalex.org/work/W3161542014> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W3161542014 endingPage "585" @default.
- W3161542014 startingPage "585" @default.
- W3161542014 abstract "The current opioid epidemic in the US presents a great problem which calls for policy supervision and regulation. In this work, the opioid cases of five states were used for trend analysis and modeling for the estimation of potential policy effects. An evaluation model was established to analyze the severity of the opioid abuse based on the entropy weight method (EWM) and rank sum ratio (RSR). Four indexes were defined to estimate the spatial distribution of development and spread of the opioid crisis. Thirteen counties with the most severe opioid abuse in five states were determined using the EWM-RSR model and those indexes. Additionally, a forecast of the development of opioid abuse was given based on an autoregressive (AR) model. The RSR values of the thirteen counties would increase to the range between 0.951 and 1.226. Furthermore, the least absolute shrinkage and selection operator (LASSO) method was adopted. The previous indexes were modified, incorporating the comprehensive socioeconomic effects. The optimal penalty term was found to facilitate the stability and reliability of the model. By using the comprehensive model, it was found that three factors—VC112, VC114, VC115—related to disabled people have a great influence on the development of opioid abuse. The simulated policies were performed in the model to decrease the values of the indicators by 10%–50%. The corresponding RSR values can decline to the range between 0.564 and 0.606. Adopting policies that benefit the disabled population should inhibit the trend of opioid abuse." @default.
- W3161542014 created "2021-05-24" @default.
- W3161542014 creator A5002469023 @default.
- W3161542014 creator A5017128653 @default.
- W3161542014 creator A5038577663 @default.
- W3161542014 creator A5061895055 @default.
- W3161542014 creator A5069134080 @default.
- W3161542014 date "2021-05-14" @default.
- W3161542014 modified "2023-09-23" @default.
- W3161542014 title "Evaluation of Policy Effectiveness by Mathematical Modeling for the Opioid Crisis with Spatial Study and Trend Analysis" @default.
- W3161542014 cites W1791256761 @default.
- W3161542014 cites W1986022520 @default.
- W3161542014 cites W2008878117 @default.
- W3161542014 cites W2034865648 @default.
- W3161542014 cites W2142180129 @default.
- W3161542014 cites W2144182447 @default.
- W3161542014 cites W2181484477 @default.
- W3161542014 cites W2519105412 @default.
- W3161542014 cites W2547119579 @default.
- W3161542014 cites W2745114458 @default.
- W3161542014 cites W2747550737 @default.
- W3161542014 cites W2762217448 @default.
- W3161542014 cites W2789314620 @default.
- W3161542014 cites W2884185253 @default.
- W3161542014 cites W2890298149 @default.
- W3161542014 cites W2905861240 @default.
- W3161542014 cites W2906511616 @default.
- W3161542014 cites W2908517581 @default.
- W3161542014 cites W2943377402 @default.
- W3161542014 cites W2946999180 @default.
- W3161542014 cites W2949738337 @default.
- W3161542014 cites W2955000925 @default.
- W3161542014 cites W2987667774 @default.
- W3161542014 cites W3000040821 @default.
- W3161542014 cites W3012261821 @default.
- W3161542014 cites W3020830295 @default.
- W3161542014 doi "https://doi.org/10.3390/healthcare9050585" @default.
- W3161542014 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8155830" @default.
- W3161542014 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34069018" @default.
- W3161542014 hasPublicationYear "2021" @default.
- W3161542014 type Work @default.
- W3161542014 sameAs 3161542014 @default.
- W3161542014 citedByCount "2" @default.
- W3161542014 countsByYear W31615420142022 @default.
- W3161542014 countsByYear W31615420142023 @default.
- W3161542014 crossrefType "journal-article" @default.
- W3161542014 hasAuthorship W3161542014A5002469023 @default.
- W3161542014 hasAuthorship W3161542014A5017128653 @default.
- W3161542014 hasAuthorship W3161542014A5038577663 @default.
- W3161542014 hasAuthorship W3161542014A5061895055 @default.
- W3161542014 hasAuthorship W3161542014A5069134080 @default.
- W3161542014 hasBestOaLocation W31615420141 @default.
- W3161542014 hasConcept C105795698 @default.
- W3161542014 hasConcept C106301342 @default.
- W3161542014 hasConcept C121332964 @default.
- W3161542014 hasConcept C149782125 @default.
- W3161542014 hasConcept C159877910 @default.
- W3161542014 hasConcept C162324750 @default.
- W3161542014 hasConcept C33923547 @default.
- W3161542014 hasConcept C62520636 @default.
- W3161542014 hasConceptScore W3161542014C105795698 @default.
- W3161542014 hasConceptScore W3161542014C106301342 @default.
- W3161542014 hasConceptScore W3161542014C121332964 @default.
- W3161542014 hasConceptScore W3161542014C149782125 @default.
- W3161542014 hasConceptScore W3161542014C159877910 @default.
- W3161542014 hasConceptScore W3161542014C162324750 @default.
- W3161542014 hasConceptScore W3161542014C33923547 @default.
- W3161542014 hasConceptScore W3161542014C62520636 @default.
- W3161542014 hasIssue "5" @default.
- W3161542014 hasLocation W31615420141 @default.
- W3161542014 hasLocation W31615420142 @default.
- W3161542014 hasOpenAccess W3161542014 @default.
- W3161542014 hasPrimaryLocation W31615420141 @default.
- W3161542014 hasRelatedWork W1494637303 @default.
- W3161542014 hasRelatedWork W1567178918 @default.
- W3161542014 hasRelatedWork W2005387969 @default.
- W3161542014 hasRelatedWork W2025277238 @default.
- W3161542014 hasRelatedWork W2132403600 @default.
- W3161542014 hasRelatedWork W2156628102 @default.
- W3161542014 hasRelatedWork W25890343 @default.
- W3161542014 hasRelatedWork W3122992504 @default.
- W3161542014 hasRelatedWork W3125784162 @default.
- W3161542014 hasRelatedWork W3193891666 @default.
- W3161542014 hasVolume "9" @default.
- W3161542014 isParatext "false" @default.
- W3161542014 isRetracted "false" @default.
- W3161542014 magId "3161542014" @default.
- W3161542014 workType "article" @default.