Mapping residual transmission for malaria elimination

Author:

Reiner Robert C12,Le Menach Arnaud3,Kunene Simon4,Ntshalintshali Nyasatu3,Hsiang Michelle S567,Perkins T Alex189,Greenhouse Bryan10,Tatem Andrew J111,Cohen Justin M3,Smith David L1121314

Affiliation:

1. Fogarty International Center, National Institutes of Health, Bethesda, United States

2. Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, United States

3. Clinton Health Access Initiative, Boston, United States

4. National Malaria Control Program, Manzini, Swaziland

5. Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, United States

6. Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, San Francisco, United States

7. Department of Pediatrics, University of California, San Francisco Benioff Children’s Hospital, United States

8. Eck Institute for Global Health, University of Notre Dame, Notre Dame, United States

9. Department of Biological Sciences, University of Notre Dame, Notre Dame, United States

10. Department of Medicine, University of California, San Francisco, San Francisco, United States

11. Department of Geography and Environment, University of Southampton, Southampton, United Kingdom

12. Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom

13. Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States

14. Sanaria Institute for Global Health and Tropical Medicine, Rockville, Maryland, United States

Abstract

Eliminating malaria from a defined region involves draining the endemic parasite reservoir and minimizing local malaria transmission around imported malaria infections. In the last phases of malaria elimination, as universal interventions reap diminishing marginal returns, national resources must become increasingly devoted to identifying where residual transmission is occurring. The needs for accurate measures of progress and practical advice about how to allocate scarce resources require new analytical methods to quantify fine-grained heterogeneity in malaria risk. Using routine national surveillance data from Swaziland (a sub-Saharan country on the verge of elimination), we estimated individual reproductive numbers. Fine-grained maps of reproductive numbers and local malaria importation rates were combined to show ‘malariogenic potential’, a first for malaria elimination. As countries approach elimination, these individual-based measures of transmission risk provide meaningful metrics for planning programmatic responses and prioritizing areas where interventions will contribute most to malaria elimination.

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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