Climate Cycles and Forecasts of Cutaneous Leishmaniasis, a Nonstationary Vector-Borne Disease
2006

Climate Cycles and Forecasts of Cutaneous Leishmaniasis

publication Evidence: high

Author Information

Author(s): Chaves Luis Fernando, Pascual Mercedes

Primary Institution: University of Michigan

Hypothesis

How do climate variables affect the transmission dynamics of cutaneous leishmaniasis?

Conclusion

The study found that climate variables can predict cutaneous leishmaniasis incidence dynamics with an accuracy of 72% to 77% for up to 12 months ahead.

Supporting Evidence

  • The study showed that cutaneous leishmaniasis incidence peaks in May and follows a three-year cycle.
  • Statistical models using climate variables predicted disease incidence with high accuracy.
  • The findings suggest a strong link between climate patterns and the transmission of cutaneous leishmaniasis.

Takeaway

The researchers discovered that cutaneous leishmaniasis has cycles that last about three years, which are linked to temperature changes and El NiƱo events.

Methodology

The study analyzed monthly data of cutaneous leishmaniasis incidence from 1991 to 2001 in Costa Rica using nonstationary time series analysis and linear models with climate predictors.

Limitations

The study's forecasting accuracy diminishes over longer time periods, and the data used were limited to a specific geographic area.

Statistical Information

Confidence Interval

95%

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pmed.0030295

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