Spatial epidemiology: methods and applications
Clicks: 8
ID: 305238
2001
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.
Reader Engagement
Steady Performance
2.1
/100
8 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #14 of 1,517 articles by views in Oxford University Press eBooks
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,517 in total.
Mint this article as an NFT
Not yet mintedCreate 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
Abstract This chapter provides a general background to spatial epidemiological studies. It discusses issues that are pertinent to their analysis and interpretation, including the underlying statistical methodology. It considers the aims and use of spatial analyses in epidemiology. It distinguishes between four types of study: disease mapping, geographical correlation studies, risk assessment in relation to a point or line-source, and cluster detection and disease clustering.
| Reference Key |
openalex_W2122228761
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | P. Elliot, John C. Wakefield, Nicola Best, David Briggs |
| Journal | Oxford University Press eBooks |
| Year | 2001 |
| DOI |
10.1093/acprof:oso/9780198515326.003.0001
|
| URL | |
| Keywords | Keywords not found |
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.