📣 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.

Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach. (2020)

First Author: Routledge I

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pcbi.1007707

PubMed Identifier: 32203520

Publication URI: http://europepmc.org/abstract/MED/32203520

Type: Journal Article/Review

Volume: 16

Parent Publication: PLoS computational biology

Issue: 3

ISSN: 1553-734X