December 16, 2008Journal of The Royal Society InterfaceOpen Access

Predicting undetected infections during the 2007 foot-and-mouth disease outbreak

View Full Paper

Ask AI

Bookmark

Population

UK foot-and-mouth disease (FMD) epidemic of 2007

Design

Other

Authors

CJChris JewellLancaster University MKMatt J. KeelingInstitute for Systems Biology GRGareth O. RobertsUniversity of Warwick

Discussion

Member takes

Implication

May support targeted surveillance in resource-limited outbreaks; leaves open prospective validation across epidemics.

Structured PICO

Population

UK foot-and-mouth disease (FMD) epidemic of 2007

Intervention

Real-time Bayesian statistical methodology to determine currently undetected (occult) infections

Outcome

Prediction of which premises might have been infected but remained undetected

A novel real-time Bayesian statistical methodology can predict undetected infections during fast-moving epidemics like the 2007 UK foot-and-mouth disease outbreak, aiding targeted surveillance.

Cite This Study

Jewell et al. (2008) studied this question.

synapsesocial.com/papers/6a821834aedbb2834ec69ef4 https://doi.org/10.1098/rsif.2008.0433

View Full Paper

Ask AI

Bookmark

Predicting undetected infections during the 2007 foot-and-mouth disease outbreak

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Predicting undetected infections during the 2007 foot-and-mouth disease outbreak

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider