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Mapping road network communities for guiding disease surveillance and control strategies

Mapping road network communities for guiding disease surveillance and control strategies
Mapping road network communities for guiding disease surveillance and control strategies

Human mobility is increasing in its volume, speed and reach, leading to the movement and introduction of pathogens through infected travelers. An understanding of how areas are connected, the strength of these connections and how this translates into disease spread is valuable for planning surveillance and designing control and elimination strategies. While analyses have been undertaken to identify and map connectivity in global air, shipping and migration networks, such analyses have yet to be undertaken on the road networks that carry the vast majority of travellers in low and middle income settings. Here we present methods for identifying road connectivity communities, as well as mapping bridge areas between communities and key linkage routes. We apply these to Africa, and show how many highly-connected communities straddle national borders and when integrating malaria prevalence and population data as an example, the communities change, highlighting regions most strongly connected to areas of high burden. The approaches and results presented provide a flexible tool for supporting the design of disease surveillance and control strategies through mapping areas of high connectivity that form coherent units of intervention and key link routes between communities for targeting surveillance.

2045-2322
Strano, Emanuele
88dc446b-c010-43f7-a05d-882e64ba95b6
Viana, Matheus
06bda124-60bb-4f97-ace3-9b9cf27412c0
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Strano, Emanuele
88dc446b-c010-43f7-a05d-882e64ba95b6
Viana, Matheus
06bda124-60bb-4f97-ace3-9b9cf27412c0
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Strano, Emanuele, Viana, Matheus, Sorichetta, Alessandro and Tatem, Andrew (2018) Mapping road network communities for guiding disease surveillance and control strategies. Scientific Reports, 8 (1). (doi:10.1038/s41598-018-22969-4).

Record type: Article

Abstract

Human mobility is increasing in its volume, speed and reach, leading to the movement and introduction of pathogens through infected travelers. An understanding of how areas are connected, the strength of these connections and how this translates into disease spread is valuable for planning surveillance and designing control and elimination strategies. While analyses have been undertaken to identify and map connectivity in global air, shipping and migration networks, such analyses have yet to be undertaken on the road networks that carry the vast majority of travellers in low and middle income settings. Here we present methods for identifying road connectivity communities, as well as mapping bridge areas between communities and key linkage routes. We apply these to Africa, and show how many highly-connected communities straddle national borders and when integrating malaria prevalence and population data as an example, the communities change, highlighting regions most strongly connected to areas of high burden. The approaches and results presented provide a flexible tool for supporting the design of disease surveillance and control strategies through mapping areas of high connectivity that form coherent units of intervention and key link routes between communities for targeting surveillance.

Text
s41598-018-22969-4 - Version of Record
Available under License Creative Commons Attribution.
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More information

Accepted/In Press date: 26 February 2018
e-pub ahead of print date: 16 March 2018
Published date: 16 March 2018

Identifiers

Local EPrints ID: 419219
URI: https://eprints.soton.ac.uk/id/eprint/419219
ISSN: 2045-2322
PURE UUID: a4e131df-26e1-4cec-861c-d54d5c380af5
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 09 Apr 2018 16:30
Last modified: 15 Jul 2019 17:25

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