Design and Analysis of Elimination Surveys for Neglected Tropical Diseases.

Clicks: 417
ID: 80861
2020
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
Steady

Ranked #41 of 443 articles by views in The Journal of infectious diseases

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 443 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
As neglected tropical diseases approach elimination status, there is a need to develop efficient sampling strategies for confirmation (or not) that elimination criteria have been met. This is an inherently difficult task because the relative precision of a prevalence estimate deteriorates as prevalence decreases, and classic survey sampling strategies based on random sampling therefore require increasingly large sample sizes. More efficient strategies for survey design and analysis can be obtained by exploiting any spatial correlation in prevalence within a model-based geostatistics framework. This framework can be used for constructing predictive probability maps that can inform in-country decision makers of the likelihood that their elimination target has been met, and where to invest in additional sampling. We evaluated our methodology using a case study of lymphatic filariasis in Ghana, demonstrating that a geostatistical approach outperforms approaches currently used to determine an evaluation unit's elimination status.
Reference Key
fronterre2020designthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fronterre, Claudio;Amoah, Benjamin;Giorgi, Emanuele;Stanton, Michelle C;Diggle, Peter J;
Journal The Journal of infectious diseases
Year 2020
DOI
jiz554
URL
Keywords
neglected tropical diseases geostatistics disease mapping elimination surveys predictions

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.