The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus

  1. Moritz UG Kraemer  Is a corresponding author
  2. Marianne E Sinka
  3. Kirsten A Duda
  4. Adrian QN Mylne
  5. Freya M Shearer
  6. Christopher M Barker
  7. Chester G Moore
  8. Roberta G Carvalho
  9. Giovanini E Coelho
  10. Wim Van Bortel
  11. Guy Hendrickx
  12. Francis Schaffner
  13. Iqbal RF Elyazar
  14. Hwa-Jen Teng
  15. Oliver J Brady
  16. Jane P Messina
  17. David M Pigott
  18. Thomas W Scott
  19. David L Smith
  20. GR William Wint
  21. Nick Golding
  22. Simon I Hay  Is a corresponding author
  1. University of Oxford, United Kingdom
  2. University of California, Davis, United States
  3. Colorado State University, United States
  4. Ministry of Health, Brazil
  5. European Centre for Disease Prevention and Control, Sweden
  6. Avia-GIS, Belgium
  7. Eijkman-Oxford Clinical Research Unit, Indonesia
  8. Centers for Disease Control, Taiwan
  9. National Institutes of Health, United States
  10. Sanaria Institute for Global Health and Tropical Medicine, United States
  11. University of Washington, United States

Decision letter

  1. Mark Jit
    Reviewing Editor; London School of Hygiene & Tropical Medicine, and Public Health England, United Kingdom

eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.

Thank you for submitting your work entitled “The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus” for peer review at eLife. Your submission has been favorably evaluated by Prabhat Jha (Senior editor), a Reviewing editor, and two reviewers.

The reviewers have discussed the reviews with one another and the Reviewing editor has drafted this decision to help you prepare a revised submission.

The following individuals responsible for the peer review of your submission have agreed to reveal their identity: Mark Jit (Reviewing editor) and Louis Lambrechts (peer reviewer). A further reviewer remains anonymous.

Summary:

The manuscript provides a comprehensive survey of the documented geographical distribution of Aedes aegypti and Aedes albopictus mosquitoes. The occurrence data are used to establish a predictive map of global distribution based on a set of relevant environmental variables.

Overall, the reviewers felt that your work provided a valuable synthesis of important data related to a key global health problem, the distribution one of the most important disease vectors. They felt that the paper was remarkably clear and well written, apart from a few key areas which would benefit from improved clarity.

Essential revisions:

1) It is claimed that one of the main advances here is the inclusion of “socio-economic” data. However, that data are limited to a single fairly complex variable, urbanisation. Urbanness is more of a demographic factor and does not necessarily do anything to distinguish socio-economic status; any city has both poor and rich areas, both of which are equally “urban”. The inclusion of this variable is important, but it should be clarified that it does not actually distinguish socio-economic status.

Related to the above, the last sentence in the fourth paragraph of the Introduction should be revised. “Ignoring socio-economic factors” should be softened given the fact that the current manuscript only does so to a very limited degree and it is clearly a major challenge to do so more in depth at a global scale. Also, “poorly distributed input occurrence data” is vague. Most occurrence data—including that in this manuscript—is poorly distributed.

2) There should be more discussion about some of the findings. What does the analysis tell us about the potential importance of other variables? Where are the knowledge gaps? Was there any insight into habitat differences between Ae. aegypti and Ae. albopictus? What are the hypothesized biological effects of EVI range? How much does this improve upon the Brady suitability model? It would be interesting to explore whether the combined global distributions of both mosquito species could provide any insights about the conditions leading to sympatric co-existence or competitive exclusion.

https://doi.org/10.7554/eLife.08347.013

Author response

1) It is claimed that one of the main advances here is the inclusion of “socio-economic” data. However, that data are limited to a single fairly complex variable, urbanisation. Urbanness is more of a demographic factor and does not necessarily do anything to distinguish socio-economic status; any city has both poor and rich areas, both of which are equally “urban”. The inclusion of this variable is important, but it should be clarified that it does not actually distinguish socio-economic status.

Thank you for requesting clarification on the inclusion of the urbanisation variable. We appreciate that urbanisation can be considered a land-cover and/or demographic variable. Therefore we changed the phrasing throughout the manuscript to ‘land-cover variable’ and ‘demographic information’. In addition to this we have removed any claims that we have included ‘socio-economic’ covariates.

Related to the above, the last sentence in the fourth paragraph of the Introduction should be revised. “Ignoring socio-economic factors” should be softened given the fact that the current manuscript only does so to a very limited degree and it is clearly a major challenge to do so more in depth at a global scale. Also, “poorly distributed input occurrence data” is vague. Most occurrence data—including that in this manuscript—is poorly distributed.

Following your suggestion we softened the phrasing of the sentence replacing “ignoring socio-economic factors’ with ‘exclusively focusing on meteorological factors’. We believe that this more accurately reflects how previous studies have predicted the environmental niche of Ae. aegypti and Ae. albopictus methodologically. To address the second point raised regarding the ‘poorly distributed’ occurrence data we replaced this phrase by ‘many models used small sets of input occurrence data’.

2) There should be more discussion about some of the findings. What does the analysis tell us about the potential importance of other variables? Where are the knowledge gaps? Was there any insight into habitat differences between Ae. aegypti and Ae. albopictus? What are the hypothesized biological effects of EVI range? How much does this improve upon the Brady suitability model? It would be interesting to explore whether the combined global distributions of both mosquito species could provide any insights about the conditions leading to sympatric co-existence or competitive exclusion.

The reviewer makes an important point as our analysis does give some important insights into the habitat differences between the two species. The main difference, which we have now highlighted in the manuscript, is the increased preference for urban and peri-urban areas for Ae. aegypti (see the relative influence plots in Figure 1–figure supplement 1), this is supported by the increased influence of mean EVI in mid-ranging values for Ae. albopictus. These relative influence plots as well as the distribution of the occurrence points support the hypothesis that, on average, Ae. albopictus is more frequently observed in habitats characterized by vegetation rather than in and around human habitats, whereas the converse is true for Ae. aegypti (see Discussion, second paragraph). This does not, however, rule out the possibility that the two species can overlap. Further finer scale studies need to be conducted to investigate if competitive exclusion for hosts and/or habitat occurs between Ae. aegypti and Ae. albopictus.

With regards to the developments of this analysis over the Brady et al. suitability paper, the later was focussed exclusively on the effects of temperature on limiting the global extent of Ae. aegypti and Ae. albopictus persistence and ability to transmit dengue virus. The current analysis incorporates additional covariates (such as precipitation and urban areas) to account for additional variance in the data. This is shown by the fact that the temperature suitability layer from Brady et al. only accounts for half of variation as demonstrated by the relative influence plots.

https://doi.org/10.7554/eLife.08347.014

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  1. Moritz UG Kraemer
  2. Marianne E Sinka
  3. Kirsten A Duda
  4. Adrian QN Mylne
  5. Freya M Shearer
  6. Christopher M Barker
  7. Chester G Moore
  8. Roberta G Carvalho
  9. Giovanini E Coelho
  10. Wim Van Bortel
  11. Guy Hendrickx
  12. Francis Schaffner
  13. Iqbal RF Elyazar
  14. Hwa-Jen Teng
  15. Oliver J Brady
  16. Jane P Messina
  17. David M Pigott
  18. Thomas W Scott
  19. David L Smith
  20. GR William Wint
  21. Nick Golding
  22. Simon I Hay
(2015)
The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus
eLife 4:e08347.
https://doi.org/10.7554/eLife.08347

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https://doi.org/10.7554/eLife.08347