Likely health outcomes for untreated acute febrile illness in the tropics in decision and economic models; a Delphi survey

Clicks: 627
ID: 113559
2011
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #19 of 2,056 articles by views in PloS one

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 2,056 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
This study highlights the uncertainty around potential consequences of untreated malaria and bacterial illnesses. The lack of consensus on most parameters, the wide range of estimates, and the impact of variability in estimates on model outputs, demonstrate the importance of sensitivity analysis for …
Reference Key
y2011ploslikely Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Lubell Y;Staedke SG;Greenwood BM;Kamya MR;Molyneux M;Newton PN;Reyburn H;Snow RW;D'Alessandro U;English M;Day N;Kremsner P;Dondorp A;Mbacham W;Dorsey G;Owusu-Agyei S;Maitland K;Krishna S;Newton C;Pasvol G;Taylor T;von Seidlein L;White NJ;Binka F;Mills A;Whitty CJ;;
Journal PloS one
Year 2011
DOI
DOI not found
URL
http://www.ncbi.nlm.nih.gov/pubmed/21390277
Keywords
health National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine models prognosis research support non-u.s. gov't adult adolescent young adult Child Infant newborn preschool acute disease outcome assessment disease progression malaria / diagnosis fever / complications probability pmid:21390277 pmc3044764 doi:10.1371/journal.pone.0017439 yoel lubell sarah g staedke christopher j m whitty critical illness / economics critical illness / epidemiology critical illness / therapy decision support techniques* delphi technique fever / diagnosis* fever / economics* fever / epidemiology malaria / economics malaria / epidemiology economic* health care / methods health care / statistics & numerical data tropical climate* hiv malaria antibiotics cost-effectiveness analysis bacterial pathogens hiv epidemiology Death rates medical risk factors

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.