R Scripts for: Predicting and Controlling Spillover in Multi-Species Disease Transmission Networks: Steady-State Analysis

This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number R01GM122062, as well as the USDA National Institute of Food and Agriculture under the Ecology and Evolution of Infectious Diseases grant no. 2021-67015-35235. Any opinions, findings, conclusions, or recommendations expressed in this work are those of the author(s) and do not necessarily represent official views of the National Institutes of Health nor the U.S. Department of Agriculture.

R scripts used to generate the numerical results and figures used in the article, Ng et al (2022), "Predicting and Controlling Spillover in Multi-Species Disease Transmission Networks: Steady-State Analysis", and its online supplements.

Related Organizations

Cornell University
United States

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average