Expansion of the Lyme Disease Vector in Canada Inferred from CMIP5 Climate Projections.

BACKGROUND

A number of studies have assessed possible climate change impacts on the Lyme disease vector, . However, most have used surface air temperature from only one climate model simulation and/or one emission scenario, representing only one possible climate future.

OBJECTIVES

We quantified effects of different Representative Concentration Pathway (RCP) and climate model outputs on the projected future changes in the basic reproduction number (R) of to explore uncertainties in future R estimates.

METHODS

We used surface air temperature generated by a complete set of General Circulation Models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) to hindcast historical (1971-2000), and to forecast future effects of climate change on the R of for the periods 2011-2040 and 2041-2070.

RESULTS

Increases in the multimodel mean values estimated for both future periods, relative to 1971-2000, were statistically significant under all RCP scenarios for all of Nova Scotia, areas of New Brunswick and Quebec, Ontario south of 47°N, and Manitoba south of 52°N. When comparing RCP scenarios, only the estimated R mean values between RCP6.0 and RCP8.5 showed statistically significant differences for any future time period.

CONCLUSION

Our results highlight the potential for climate change to have an effect on future Lyme disease risk in Canada even if the Paris Agreement's goal to keep global warming below 2°C is achieved, although mitigation reducing emissions from RCP8.5 levels to those of RCP6.0 or less would be expected to slow tick invasion after the 2030s. https://doi.org/10.1289/EHP57.