Display options
Share it on

Evol Med Public Health. 2020 Dec 27;9(1):1-10. doi: 10.1093/emph/eoaa035. eCollection 2021.

Vector dynamics influence spatially imperfect genetic interventions against disease.

Evolution, medicine, and public health

Mete K Yuksel, Christopher H Remien, Bandita Karki, James J Bull, Stephen M Krone

Affiliations

  1. Department of Mathematics, University of Idaho, Moscow, ID 83844-1103, USA.
  2. Department of Biological Sciences, University of Idaho, Moscow, ID 83844-1103, USA.

PMID: 33664955 PMCID: PMC7910803 DOI: 10.1093/emph/eoaa035

Abstract

BACKGROUND AND OBJECTIVES: Genetic engineering and similar technologies offer promising new approaches to controlling human diseases by blocking transmission from vectors. However, in spatially structured populations, imperfect coverage of the vector will leave pockets in which the parasite may persist. Movement by humans may disrupt this local persistence and facilitate eradication when these pockets are small, spreading parasite reproduction outside unprotected areas and into areas that block its reproduction. Here, we consider the sensitivity of this process to biological details: do simple generalities emerge that may facilitate interventions?

METHODOLOGY: We develop formal mathematical models of this process similar to standard Ross-Macdonald models, but (i) specifying spatial structure of two patches, with vector transmission blocked in one patch but not in the other, (ii) allowing temporary human movement (travel instead of migration) and (iii) considering two different modes of mosquito biting.

RESULTS: We find that there is no invariant effect of disrupting spatial structure with travel. For both biting models, travel out of the unprotected patch has different consequences than travel by visitors into the patch, but the effects are reversed between the two biting models.

CONCLUSIONS AND IMPLICATIONS: Overall, the effect of human travel on the maintenance of vector-borne diseases in structured habitats must be considered in light of the actual biology of mosquito abundances, biting dynamics and human movement patterns.

© The Author(s) 2020. Published by Oxford University Press on behalf of the Foundation for Evolution, Medicine, and Public Health.

Keywords: gene drive; genetic pest management; mathematical model; mosquito biting dynamics; pathogen suppression; spatial structure

References

  1. Math Biosci. 2016 Sep;279:90-101 - PubMed
  2. Evol Med Public Health. 2019 May 11;2019(1):66-81 - PubMed
  3. PLoS Biol. 2017 May 30;15(5):e2001894 - PubMed
  4. PLoS Negl Trop Dis. 2018 Jul 30;12(7):e0006666 - PubMed
  5. Sci Rep. 2019 Sep 10;9(1):13047 - PubMed
  6. J Theor Biol. 2009 Jun 21;258(4):550-60 - PubMed
  7. J Appl Ecol. 2013 Oct;50(5):1216-1225 - PubMed
  8. BMC Biol. 2019 Mar 29;17(1):26 - PubMed
  9. Proc Natl Acad Sci U S A. 2015 Dec 8;112(49):E6736-43 - PubMed
  10. Ecol Lett. 2006 Jun;9(6):706-25 - PubMed
  11. Nat Biotechnol. 2015 Feb;33(2):169-74 - PubMed
  12. Am Nat. 2018 Jul;192(1):23-34 - PubMed
  13. J Econ Entomol. 2012 Jun;105(3):767-76 - PubMed
  14. Evolution. 2008 Feb;62(2):500-10 - PubMed
  15. Trends Ecol Evol. 2001 Jun 1;16(6):295-300 - PubMed
  16. Nature. 2011 Aug 24;476(7361):454-7 - PubMed
  17. Am Nat. 2011 Sep;178(3):E48-75 - PubMed
  18. Proc Natl Acad Sci U S A. 2017 Aug 8;114(32):8452-8457 - PubMed
  19. J Theor Biol. 2012 Jun 21;303:1-14 - PubMed
  20. Philos Trans R Soc Lond B Biol Sci. 2014 May 12;369(1645):20130432 - PubMed

Publication Types

Grant support