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

Malaria Journal

Research

Deepika Kandula¹  Justin M Cohen¹  Andrew J Tatem²  Deepa K Pindolia³  Zhuojie Huang³  Udayan Kumar⁴  David L Smith⁵  Bonita Graupe⁶  Clothilde Narib⁷  Petrina Uusiku⁷  Christopher Lourenço⁸ 

[1] Clinton Health Access Initiative, Boston, MA, USA;Department of Geography and Environment, University of Southampton, Southampton, UK;Fogarty International Center, National Institutes of Health, Bethesda, MD, USA;Department of Geography, University of Florida, Gainesville, FL, USA;Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA;Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA;Department of Computer Science, University of Florida, Gainesville, FL, USA;Fogarty International Center, National Institutes of Health, Bethesda, MD, USA;Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA;Mobile Telecommunications Limited, Windhoek, Namibia;National Vector-borne Disease Control Programme, Windhoek, Namibia;National Vector-borne Disease Control Programme, Windhoek, Namibia;Clinton Health Access Initiative, Boston, MA, USA;

关键词: Human mobility;    Plasmodium falciparum;    Malaria elimination;    Migration;    Disease mapping;    Spatial analysis;    Satellite imagery;    Mobile phones;   

DOI  :  10.1186/1475-2875-13-52

 received in 2013-11-22, accepted in 2014-02-03,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundAs 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/ResultsHere, 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.ConclusionsThe approaches presented can be rapidly updated and used to identify where active surveillance for both local and imported cases should be increased, which regions would benefit from coordinating efforts, and how spatially progressive elimination plans can be designed. With improvements in surveillance systems linked to improved diagnosis of malaria, detailed satellite imagery being readily available and mobile phone usage data continually being collected by network providers, the potential exists to make operational use of such valuable, complimentary and contemporary datasets on an ongoing basis in infectious disease control and elimination.

【 授权许可】

CC BY   
© Tatem et al.; licensee BioMed Central Ltd. 2014