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MIReVTD, a minimum information standard for reporting vector trait data.

Sadie J Ryan1, Paul J Huxley2, Catherine A Lippi1

  • 1Quantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography and the Emerging Pathogens Institute, University of Florida, 330 Newell Drive, Gainesville, FL 32611, United States.

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Summary
This summary is machine-generated.

A new standard, MIReVTD (Minimum Information standard for Reporting Vector Trait Data), addresses inconsistent terminology and insufficient detail in vector trait data. This standard aims to improve data accessibility and reusability for better vector-borne disease modeling.

Keywords:
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Area of Science:

  • Vector-borne disease ecology
  • Mathematical modeling of infectious diseases
  • Data standardization in scientific research

Background:

  • Vector-borne diseases present a growing global challenge across human, animal, and agricultural systems.
  • Mathematical models are crucial for assessing disease risk and predicting impacts, but rely on accurate vector trait data.
  • Current vector trait data reporting lacks standardization, hindering data reuse, synthesis, and model parameterization.

Purpose of the Study:

  • To introduce MIReVTD (Minimum Information standard for Reporting Vector Trait Data), a novel standard for reporting vector trait data.
  • To facilitate the findability, accessibility, and reusability of experimental vector trait data.
  • To improve the reliability of mathematical models used in vector-borne disease research.

Main Methods:

  • Development of a reporting checklist balancing data completeness and researcher effort.
  • Inclusion of essential elements for describing vector trait experiments.
  • Demonstration of the standard's application using an example from an Aedes aegypti mosquito study.

Main Results:

  • The MIReVTD standard provides a structured framework for reporting vector trait data.
  • The proposed standard aims to mitigate information loss and analytical limitations caused by data inconsistency.
  • An example application shows how MIReVTD can be used to reproduce existing study results.

Conclusions:

  • Standardizing vector trait data reporting is essential for advancing vector-borne disease research and control.
  • MIReVTD offers a practical solution to improve the quality and usability of vector trait datasets.
  • Adoption of MIReVTD will enhance the development and validation of predictive mathematical models for vector-borne diseases.