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A global airport-based risk model for the spread of dengue infection via the air transport network.

Gardner L, Sarkar S - PLoS ONE (2013)

Bottom Line: Two risk attributes are evaluated: (i) the risk posed by through traffic at each stopover airport and (ii) the risk posed by incoming travelers to each destination airport.The model results prioritize optimal locations (i.e., airports) for targeted dengue surveillance.The model is easily extendible to other vector-borne diseases.

View Article: PubMed Central - PubMed

Affiliation: School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, Australia. l.gardner@unsw.edu.au

ABSTRACT
The number of travel-acquired dengue infections has seen a consistent global rise over the past decade. An increased volume of international passenger air traffic originating from regions with endemic dengue has contributed to a rise in the number of dengue cases in both areas of endemicity and elsewhere. This paper reports results from a network-based risk assessment model which uses international passenger travel volumes, travel routes, travel distances, regional populations, and predictive species distribution models (for the two vector species, Aedes aegypti and Aedes albopictus) to quantify the relative risk posed by each airport in importing passengers with travel-acquired dengue infections. Two risk attributes are evaluated: (i) the risk posed by through traffic at each stopover airport and (ii) the risk posed by incoming travelers to each destination airport. The model results prioritize optimal locations (i.e., airports) for targeted dengue surveillance. The model is easily extendible to other vector-borne diseases.

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Related in: MedlinePlus

Schematic of all incoming and outgoing flow at node k.
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pone-0072129-g003: Schematic of all incoming and outgoing flow at node k.

Mentions: The flow at any given airport is comprised of the stopover flow transferring at airport k, , the total flow originating at airport k, , and the total flow ending at airport k,. The flow at a given node is illustrated in Figure 3 below. There is no conservation of flow at node k because the total flow originating and ending at node k are independent. However all the stopover flow that enters node k must exit node k.


A global airport-based risk model for the spread of dengue infection via the air transport network.

Gardner L, Sarkar S - PLoS ONE (2013)

Schematic of all incoming and outgoing flow at node k.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3756962&req=5

pone-0072129-g003: Schematic of all incoming and outgoing flow at node k.
Mentions: The flow at any given airport is comprised of the stopover flow transferring at airport k, , the total flow originating at airport k, , and the total flow ending at airport k,. The flow at a given node is illustrated in Figure 3 below. There is no conservation of flow at node k because the total flow originating and ending at node k are independent. However all the stopover flow that enters node k must exit node k.

Bottom Line: Two risk attributes are evaluated: (i) the risk posed by through traffic at each stopover airport and (ii) the risk posed by incoming travelers to each destination airport.The model results prioritize optimal locations (i.e., airports) for targeted dengue surveillance.The model is easily extendible to other vector-borne diseases.

View Article: PubMed Central - PubMed

Affiliation: School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, Australia. l.gardner@unsw.edu.au

ABSTRACT
The number of travel-acquired dengue infections has seen a consistent global rise over the past decade. An increased volume of international passenger air traffic originating from regions with endemic dengue has contributed to a rise in the number of dengue cases in both areas of endemicity and elsewhere. This paper reports results from a network-based risk assessment model which uses international passenger travel volumes, travel routes, travel distances, regional populations, and predictive species distribution models (for the two vector species, Aedes aegypti and Aedes albopictus) to quantify the relative risk posed by each airport in importing passengers with travel-acquired dengue infections. Two risk attributes are evaluated: (i) the risk posed by through traffic at each stopover airport and (ii) the risk posed by incoming travelers to each destination airport. The model results prioritize optimal locations (i.e., airports) for targeted dengue surveillance. The model is easily extendible to other vector-borne diseases.

Show MeSH
Related in: MedlinePlus