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Mathematical Analysis of the Impact of Social Structure on Ectoparasite Load in Allogrooming Populations

  • Heather Z. Brooks
  • Maryann E. Hohn
  • Candice R. Price
  • Ami E. Radunskaya
  • Suzanne S. Sindi
  • Nakeya D. Williams
  • Shelby N. Wilson
  • Nina H. Fefferman
Chapter
Part of the Association for Women in Mathematics Series book series (AWMS, volume 14)

Abstract

In many social species, there exist a few highly connected individuals living among a larger majority of poorly connected individuals. Previous studies have shown that, although this social network structure may facilitate some aspects of group-living (e.g., collective decision-making), these highly connected individuals can act as super-spreaders of circulating infectious pathogens. We build on this literature to instead consider the impact of this type of network structure on the circulation of ectoparasitic infections in a population. We consider two ODE models that each approximate a simplified network model; one with uniform social contacts, and one with a few highly connected individuals. We find that, rather than increasing risk, the inclusion of highly connected individuals increases the probability that a population will be able to eradicate ectoparasitic infection through social grooming.

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Copyright information

© The Author(s) and the Association for Women in Mathematics 2018

Authors and Affiliations

  • Heather Z. Brooks
    • 1
  • Maryann E. Hohn
    • 2
  • Candice R. Price
    • 3
  • Ami E. Radunskaya
    • 4
  • Suzanne S. Sindi
    • 5
  • Nakeya D. Williams
    • 6
  • Shelby N. Wilson
    • 7
  • Nina H. Fefferman
    • 8
  1. 1.University of UtahSalt Lake CityUSA
  2. 2.University of California, Santa BarbaraSanta BarbaraUSA
  3. 3.University of San DiegoSan DiegoUSA
  4. 4.Mathematics DepartmentPomona CollegeClaremontUSA
  5. 5.University of California MercedMercedUSA
  6. 6.United States Military AcademyWest PointUSA
  7. 7.Morehouse CollegeAtlantaUSA
  8. 8.University of TennesseeKnoxvilleUSA

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