📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Bayesian approach for inferring the dynamics of partially observed endemic infectious diseases from space-time-genetic data (2014)

First Author: Mollentze N

Attributed to: Epi-SEQ - Molecular epidemiology of epizootic diseases using next generation sequencing technology funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1098/rspb.2013.3251

PubMed Identifier: 24619442

Publication URI: http://europepmc.org/abstract/MED/24619442

Type: Journal Article/Review

Parent Publication: Proceedings of the Royal Society B: Biological Sciences

Issue: 1782

ISSN: 0962-8452