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Related Experiment Videos

Cross correlation maps: a tool for visualizing and modeling time lagged associations.

Frank C Curriero1, Scott M Shone, Gregory E Glass

  • 1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA. fcurrier@jhsph.edu

Vector Borne and Zoonotic Diseases (Larchmont, N.Y.)
|September 29, 2005
PubMed
Summary

Environmental factors impact arthropod populations over time intervals, not just single points. New cross-correlation maps reveal these extended effects, improving population dynamics models for vector control.

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Area of Science:

  • Ecology
  • Environmental Science
  • Vector Biology

Background:

  • Arthropod population dynamics are influenced by environmental factors across various scales.
  • Traditional studies often link vector abundance to single meteorological events, overlooking extended environmental impacts.
  • Existing cross-correlation plots are limited in visualizing time-lagged environmental effects over intervals.

Purpose of the Study:

  • To introduce and demonstrate cross-correlation maps for visualizing environmental effects on arthropod populations over time intervals.
  • To compare the effectiveness of interval-based versus single-point time lags in ecological modeling.
  • To improve the understanding of environmental influences on vector abundance dynamics.

Main Methods:

  • Development and application of cross-correlation maps to generalize cross-correlation plots.

Related Experiment Videos

  • Utilizing time-series data of Ochlerotatus sollicitans mosquito abundance and meteorological conditions.
  • Comparing Poisson regression models incorporating single and interval-based time lags for environmental variables.

    • Main Results:

    • Cross-correlation maps effectively visualized environmental influences over time intervals, aligning with ecological principles.
    • Identified associations using cross-correlation maps were stronger and more biologically relevant than those from single time points.
    • Models using interval-based environmental lags demonstrated superior accuracy in reproducing daily mosquito population dynamics.

    Conclusions:

    • Cross-correlation maps offer a powerful tool for analyzing extended environmental impacts on arthropod populations.
    • Accounting for environmental effects over time intervals significantly enhances the accuracy of vector population models.
    • This approach provides a more comprehensive understanding of vector ecology and aids in developing effective vector control strategies.