📣 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.

Analysing pneumococcal invasiveness using Bayesian models of pathogen progression rates. (2022)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pcbi.1009389

PubMed Identifier: 35176026

Publication URI: http://europepmc.org/abstract/MED/35176026

Type: Journal Article/Review

Volume: 18

Parent Publication: PLoS computational biology

Issue: 2

ISSN: 1553-734X