The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics  Prof Andrew J Tatem, PhD, Peng Jia, PhD,

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The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics  Prof Andrew J Tatem, PhD, Peng Jia, PhD, Dariya Ordanovich, MSc, Michael Falkner, BSc, Zhuojie Huang, PhD, Rosalind Howes, PhD, Prof Simon I Hay, DSc, Peter W Gething, PhD, Prof David L Smith, PhD  The Lancet Infectious Diseases  Volume 17, Issue 1, Pages 98-107 (January 2017) DOI: 10.1016/S1473-3099(16)30326-7 Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 1 Origins, destinations, and flows of imported cases of malaria from endemic to non-endemic countries (A) Of the non-endemic countries that reported the origin country of imported cases, the average annual number of malaria cases (all species) between 2005 and 2015 exported from endemic to non-endemic countries (red) and imported cases to non-endemic from endemic countries (blue). (B) Malaria endemic to non-endemic country connectivity through cases imported to the non-endemic country. Of the non-endemic countries that reported the origin country of imported cases, the average annual number of malaria cases (all species) between 2005 and 2015 moving from endemic to non-endemic country pairs are mapped as flow lines. Only average annual flows of >50 cases are mapped, with >200 in red, 100–200 in pink, and 50–100 in yellow. The flow lines are overlaid on a map of Plasmodium falciparum prevalence.19 The Lancet Infectious Diseases 2017 17, 98-107DOI: (10.1016/S1473-3099(16)30326-7) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 2 Results of community detections on the network of malaria endemic–non-endemic imported malaria pairs Countries mapped in the same colour belong to a unique community, with imported malaria case movements being larger within the communities than between them. Fewer cases in Asia and the Americas had origin–destination information available, making the community detection results less robust. Moreover, with substantially fewer non-endemic countries outside of Europe with strong reporting, analyses simply show the regions as homogeneous single communities. The Lancet Infectious Diseases 2017 17, 98-107DOI: (10.1016/S1473-3099(16)30326-7) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 3 Plasmodium falciparum prevalence in 2010 versus average annual number of P falciparum cases imported to non-endemic countries for all endemic countries, 2005–15 The circles are coloured by region (green=Americas, pink=Africa, blue=Asia), and their sizes correspond to numbers of outgoing migrants to non-endemic countries. Linear model fit to P faciparum parasite rate (PfPR) against P faciparum cases: r2=0·32; p<0·01. The Lancet Infectious Diseases 2017 17, 98-107DOI: (10.1016/S1473-3099(16)30326-7) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 4 Pooled data for imported malaria species breakdown to non-endemic regions from endemic ones The figure shows proportions of total imported case numbers, rather than absolute numbers, which are shown in figure 1A. The Lancet Infectious Diseases 2017 17, 98-107DOI: (10.1016/S1473-3099(16)30326-7) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 5 Species composition of reported imported malaria cases to non-endemic countries mapped by endemic country of origin of the cases The Lancet Infectious Diseases 2017 17, 98-107DOI: (10.1016/S1473-3099(16)30326-7) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions