The Burden of Common Infectious Disease Syndromes at the Clinic and Household Level from Population-Based Surveillance in Rural and Urban Kenya

Clicks: 18
ID: 118703
2011
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 #2,041 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
Abstract
Characterizing infectious disease burden in Africa is important for prioritizing and targeting limited resources for curative and preventive services and monitoring the impact of interventions.From June 1, 2006 to May 31, 2008, we estimated rates of acute ...
Reference Key
breiman2011plosthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Daniel R. Feikin, Beatrice Olack, Godfrey M. Bigogo, Allan Audi, Leonard Cosmas, Barrack Aura, Heather Burke, M. Kariuki Njenga, John Williamson, Robert F. Breiman;Daniel R. Feikin;Beatrice Olack;Godfrey M. Bigogo;Allan Audi;Leonard Cosmas;Barrack Aura;Heather Burke;M. Kariuki Njenga;John Williamson;Robert F. Breiman;
Journal PloS one
Year 2011
DOI
10.1371/journal.pone.0016085
URL
Keywords

Citations

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

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