Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density

  1. John Bradley
  2. Will Stone
  3. Dari FA DA
  4. Isabelle Morlais
  5. Alassane Dicko
  6. Anna Cohuet
  7. Wamdaogo M Guelbeogo
  8. Almahamoudou Mahamar
  9. Sandrine Nsango
  10. Harouna M Soumaré
  11. Halimatou Diawara
  12. Kjerstin Lanke
  13. Wouter Graumans
  14. Rianne Siebelink-Stoter
  15. Marga van de Vegte-Bolmer
  16. Ingrid Chen
  17. Alfred Tiono
  18. Bronner Pamplona Gonçalves
  19. Roland Gosling
  20. Robert W Sauerwein
  21. Chris Drakeley
  22. Thomas S Churcher  Is a corresponding author
  23. Teun Bousema
  1. London School of Hygiene and Tropical Medicine, United Kingdom
  2. Radboud University Medical Center, Netherlands
  3. Institut de Recherche en Sciences de la Santé, Burkina Faso
  4. Institut de Recherche pour le Développement, France
  5. University of Science, Techniques and Technologies of Bamako, Mali
  6. Centre National de Recherche et de Formation sur le Paludisme, Burkina Faso
  7. Université de Douala, Cameroon
  8. University of California, San Francisco, United States
  9. Imperial College London, United Kingdom
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  1. John Bradley
  2. Will Stone
  3. Dari FA DA
  4. Isabelle Morlais
  5. Alassane Dicko
  6. Anna Cohuet
  7. Wamdaogo M Guelbeogo
  8. Almahamoudou Mahamar
  9. Sandrine Nsango
  10. Harouna M Soumaré
  11. Halimatou Diawara
  12. Kjerstin Lanke
  13. Wouter Graumans
  14. Rianne Siebelink-Stoter
  15. Marga van de Vegte-Bolmer
  16. Ingrid Chen
  17. Alfred Tiono
  18. Bronner Pamplona Gonçalves
  19. Roland Gosling
  20. Robert W Sauerwein
  21. Chris Drakeley
  22. Thomas S Churcher
  23. Teun Bousema
(2018)
Predicting the likelihood and intensity of mosquito infection from sex specific Plasmodium falciparum gametocyte density
eLife 7:e34463.
https://doi.org/10.7554/eLife.34463