📣 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.

Hotspots and super-spreaders: Modelling fine-scale malaria parasite transmission using mosquito flight behaviour (2022)

First Author: Luigi Sedda

Attributed to: Data Science of the Natural Environment funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.60692/zx1wc-sab50

Publication URI: https://gresis.osc.int//doi/10.60692/zx1wc-sab50

Type: Other