2009
DOI: 10.1086/597220
|View full text |Cite
|
Sign up to set email alerts
|

Long‐Distance Dispersal and Accelerating Waves of Disease: Empirical Relationships

Abstract: Classic approaches to modeling biological invasions predict a "traveling wave" of constant velocity determined by the invading organism's reproductive capacity, generation time, and dispersal ability. Traveling wave models may not apply, however, for organisms that exhibit long-distance dispersal. Here we use simple empirical relationships for accelerating waves, based on inverse power law dispersal, and apply them to diseases caused by pathogens that are wind dispersed or vectored by birds: the within-season … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

7
102
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 104 publications
(110 citation statements)
references
References 48 publications
7
102
0
Order By: Relevance
“…3B). This acceleration rate, estimated solely from viral genomic data, is almost identical to that independently estimated from large-scale patterns of spatiotemporal WNV incidence (31). Such acceleration is theoretically predicted to occur when there is high variance in dispersal among infected hosts-specifically, when the dispersal kernel is positively skewed and "fat-tailed" (32).…”
Section: Resultssupporting
confidence: 64%
“…3B). This acceleration rate, estimated solely from viral genomic data, is almost identical to that independently estimated from large-scale patterns of spatiotemporal WNV incidence (31). Such acceleration is theoretically predicted to occur when there is high variance in dispersal among infected hosts-specifically, when the dispersal kernel is positively skewed and "fat-tailed" (32).…”
Section: Resultssupporting
confidence: 64%
“…Meaning of damage categories: 1, no damage; 2, low damage (defoliation substantially below 50 %), 3, moderate damage (defoliation around 50 %); 4, severe damage (defoliation substantially above 50 %). Data on 1224 farms in 2012 and information on first foci in 2011 were provided by ANACAFE The progress of coffee rust at this almost continental scale seems to follow the expected pattern for long distance dispersal diseases (Mundt et al 2009), where epidemic velocity increases with distance from the initial source. This observation indicates that wind probably played a key role in coffee rust spread, although the disease is already present in all of the coffee growing countries and possibly in all of the susceptible coffee plots of Mesoamerica.…”
Section: The Near Continental Scale Evolution Of Several Coffee Rust mentioning
confidence: 99%
“…Transmission of pandemic diseases is often classified into contact and relocated diffusions which are caused, respectively, by short-and long-distance transmissions [8][9][10][11][12]. Contact diffusion refers to the short-distance spread of a disease outward from a central focus continuously in space.…”
Section: Introductionmentioning
confidence: 99%