English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Slaughterhouses are a potential source of data which is under-used for cattle health monitoring. The objective of this work was to assess the performance of several algorithms for outbreak detection based on weekly proportions of whole carcass condemnation. Data from 177,098 cattle slaughtered in one French slaughterhouse from 2005 to 2009 were used. The Shewart p chart, one-sided confidence interval of a negative binomial regression model, and EWMA and CUSUM on residuals of a negative binomial model were investigated. The highest sensitivity was obtained using negative binomial regression and the highest specificity using CUSUM or EWMA.

online journal of public health informatics

Assessment of Several Algorithms for Outbreak Detection using Bovine Meat Inspection Data for Syndromic Surveillance: A Pilot Study on Whole Carcass Condemnation Rate