Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern Africa

  1. Sofonias K Tessema  Is a corresponding author
  2. Amy Wesolowski
  3. Anna Chen
  4. Maxwell Murphy
  5. Jordan Wilheim
  6. Anna-Rosa Mupiri
  7. Nick W Ruktanonchai
  8. Victor A Alegana
  9. Andrew J Tatem
  10. Munyaradzi Tambo
  11. Bradley Didier
  12. Justin M Cohen
  13. Adam Bennett
  14. Hugh JW Sturrock
  15. Roland Gosling
  16. Michelle S Hsiang
  17. David L Smith
  18. Davis R Mumbengegwi
  19. Jennifer L Smith
  20. Bryan Greenhouse
  1. University of California, San Francisco, United States
  2. Johns Hopkins Bloomberg School of Public Health, United States
  3. University of Namibia, Namibia
  4. University of Southampton, United Kingdom
  5. Clinton Health Access Initiative, United States
  6. University of Washington, United States
  7. University of Texas Southwestern Medical Center, United States
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  1. Sofonias K Tessema
  2. Amy Wesolowski
  3. Anna Chen
  4. Maxwell Murphy
  5. Jordan Wilheim
  6. Anna-Rosa Mupiri
  7. Nick W Ruktanonchai
  8. Victor A Alegana
  9. Andrew J Tatem
  10. Munyaradzi Tambo
  11. Bradley Didier
  12. Justin M Cohen
  13. Adam Bennett
  14. Hugh JW Sturrock
  15. Roland Gosling
  16. Michelle S Hsiang
  17. David L Smith
  18. Davis R Mumbengegwi
  19. Jennifer L Smith
  20. Bryan Greenhouse
(2019)
Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern Africa
eLife 8:e43510.
https://doi.org/10.7554/eLife.43510