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Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning

Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning
Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning
As successful malaria control programmes re-orientate towards elimination, the identification of transmission foci, targeting of attack measures to high-risk areas and management of importation risk become high priorities. When resources are limited and transmission is varying seasonally, approaches that can rapidly prioritize areas for surveillance and control can be valuable, and the most appropriate attack measure for a particular location is likely to differ depending on whether it exports or imports malaria infections.
Methods/Results: Here, using the example of Namibia, a method for targeting of interventions using surveillance data, satellite imagery, and mobile phone call records to support elimination planning is described. One year of aggregated movement patterns for over a million people across Namibia are analyzed, and linked with case-based risk maps built on satellite imagery. By combining case-data and movement, the way human population movements connect transmission risk areas is demonstrated. Communities that were strongly connected by relatively higher levels of movement were then identified, and net export and import of travellers and infection risks by region were quantified. These maps can aid the design of targeted interventions to maximally reduce the number of cases exported to other regions while employing appropriate interventions to manage risk in places that import them.
human mobility, plasmodium falciparum malaria, malaria elimination, migration, disease mapping, spatial analysis, satellite imagery, mobile phones
1475-2875
Tatem, Andrew J.
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Huang, Zhuojie
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Narib, Clothilde
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Kumar, Udayan
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Kandula, Deepika
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Pindolia, Deepa K.
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Smith, David L.
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Cohen, Justin M.
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Graupe, Bonita
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Uusiku, Petrina
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Lourenco, Christopher
2bc7b120-e9ef-4db0-919c-299fe60d51a3
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Huang, Zhuojie
07e288b7-51b3-414a-82b7-28d83b114be6
Narib, Clothilde
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Kumar, Udayan
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Kandula, Deepika
56b778d1-c466-49e7-83a5-6aa1d2ef79ed
Pindolia, Deepa K.
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Smith, David L.
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Cohen, Justin M.
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Graupe, Bonita
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Uusiku, Petrina
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Lourenco, Christopher
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Tatem, Andrew J., Huang, Zhuojie, Narib, Clothilde, Kumar, Udayan, Kandula, Deepika, Pindolia, Deepa K., Smith, David L., Cohen, Justin M., Graupe, Bonita, Uusiku, Petrina and Lourenco, Christopher (2014) Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning. Malaria Journal, 13 (52). (doi:10.1186/1475-2875-13-52).

Record type: Article

Abstract

As successful malaria control programmes re-orientate towards elimination, the identification of transmission foci, targeting of attack measures to high-risk areas and management of importation risk become high priorities. When resources are limited and transmission is varying seasonally, approaches that can rapidly prioritize areas for surveillance and control can be valuable, and the most appropriate attack measure for a particular location is likely to differ depending on whether it exports or imports malaria infections.
Methods/Results: Here, using the example of Namibia, a method for targeting of interventions using surveillance data, satellite imagery, and mobile phone call records to support elimination planning is described. One year of aggregated movement patterns for over a million people across Namibia are analyzed, and linked with case-based risk maps built on satellite imagery. By combining case-data and movement, the way human population movements connect transmission risk areas is demonstrated. Communities that were strongly connected by relatively higher levels of movement were then identified, and net export and import of travellers and infection risks by region were quantified. These maps can aid the design of targeted interventions to maximally reduce the number of cases exported to other regions while employing appropriate interventions to manage risk in places that import them.

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Published date: February 2014
Keywords: human mobility, plasmodium falciparum malaria, malaria elimination, migration, disease mapping, spatial analysis, satellite imagery, mobile phones
Organisations: WorldPop, Geography & Environment

Identifiers

Local EPrints ID: 362025
URI: http://eprints.soton.ac.uk/id/eprint/362025
ISSN: 1475-2875
PURE UUID: 3ddd2937-109b-458d-b945-9228bee4c209
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 11 Feb 2014 11:37
Last modified: 15 Mar 2024 03:43

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Contributors

Author: Andrew J. Tatem ORCID iD
Author: Zhuojie Huang
Author: Clothilde Narib
Author: Udayan Kumar
Author: Deepika Kandula
Author: Deepa K. Pindolia
Author: David L. Smith
Author: Justin M. Cohen
Author: Bonita Graupe
Author: Petrina Uusiku
Author: Christopher Lourenco

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