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DengueChat: A Social and Software Platform for Community-based Arbovirus Vector Control.

James Holston1, Harold Suazo-Laguna2, Eva Harris2,3

  • 1Department of Anthropology and Social Apps Lab, University of California, Berkeley, California.

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DengueChat, a community platform, significantly reduced Aedes aegypti mosquito larvae by 44% in Nicaragua. This digital tool empowers communities to control arbovirus vectors, offering a promising alternative to traditional methods.

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Area of Science:

  • Public Health
  • Vector-Borne Disease Control
  • Community-Based Interventions

Background:

  • Arboviral diseases like dengue, transmitted by Aedes aegypti mosquitoes, pose a significant global health threat, affecting millions annually.
  • Current control strategies relying on chemical methods and vaccines are insufficient, necessitating community-centered approaches for mosquito elimination.
  • A paradigm shift is needed to empower affected communities in arbovirus vector control efforts.

Purpose of the Study:

  • To introduce and evaluate DengueChat, a novel social and software platform designed to enhance community engagement in arbovirus vector control.
  • To assess the impact of DengueChat on community participation, entomological indices, and disease transmission risk.
  • To determine the efficacy of a community-driven, technology-assisted approach in reducing Aedes aegypti populations.

Main Methods:

  • Development of DengueChat, an interactive platform integrating open-source digital communication with face-to-face community assemblies.
  • Implementation of a 19-month pilot study in five neighborhoods in Managua, Nicaragua, involving resident participation in data collection and reporting.
  • Measurement of entomological and behavioral impacts, including larval and pupal indices and household positivity rates, with comparative analysis against control neighborhoods.

Main Results:

  • Neighborhoods utilizing DengueChat demonstrated a significant reduction in Aedes aegypti larvae and pupae indices by approximately 44% during an epidemic year.
  • Control neighborhoods experienced a dramatic increase of over 500% in these indices, highlighting the ineffectiveness of non-intervention.
  • A cluster permutation test confirmed a statistically significant reduction in household positivity probability in DengueChat-participating neighborhoods (P = 0.0265).

Conclusions:

  • DengueChat effectively enhances community engagement and participation in vector control activities.
  • The platform significantly reduces entomological indices associated with Aedes aegypti, indicating a lower risk of arbovirus transmission.
  • DengueChat represents a promising, community-centered resource for sustainable and effective arbovirus vector control.