Impact of prior and projected climate change on US Lyme disease incidence

被引:31
|
作者
Couper, Lisa, I [1 ]
MacDonald, Andrew J. [2 ,3 ]
Mordecai, Erin A. [1 ]
机构
[1] Stanford Univ, Dept Biol, 327 Campus Dr, Stanford, CA 94305 USA
[2] Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA 93106 USA
[3] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
基金
美国国家科学基金会;
关键词
climate change; disease projections; Ixodes pacificus; Ixodes scapularis; least squares dummy variables; Lyme disease; IXODES-PACIFICUS ACARI; VECTOR-BORNE DISEASES; SCAPULARIS ACARI; BORRELIA-BURGDORFERI; UNITED-STATES; LAND-COVER; METEOROLOGICAL FACTORS; WESTCHESTER-COUNTY; AIR-TEMPERATURE; IXODIDAE NYMPHS;
D O I
10.1111/gcb.15435
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Lyme disease is the most common vector-borne disease in temperate zones and a growing public health threat in the United States (US). The life cycles of the tick vectors and spirochete pathogen are highly sensitive to climate, but determining the impact of climate change on Lyme disease burden has been challenging due to the complex ecology of the disease and the presence of multiple, interacting drivers of transmission. Here we incorporated 18 years of annual, county-level Lyme disease case data in a panel data statistical model to investigate prior effects of climate variation on disease incidence while controlling for other putative drivers. We then used these climate-disease relationships to project Lyme disease cases using CMIP5 global climate models and two potential climate scenarios (RCP4.5 and RCP8.5). We find that interannual variation in Lyme disease incidence is associated with climate variation in all US regions encompassing the range of the primary vector species. In all regions, the climate predictors explained less of the variation in Lyme disease incidence than unobserved county-level heterogeneity, but the strongest climate-disease association detected was between warming annual temperatures and increasing incidence in the Northeast. Lyme disease projections indicate that cases in the Northeast will increase significantly by 2050 (23,619 +/- 21,607 additional cases), but only under RCP8.5, and with large uncertainty around this projected increase. Significant case changes are not projected for any other region under either climate scenario. The results demonstrate a regionally variable and nuanced relationship between climate change and Lyme disease, indicating possible nonlinear responses of vector ticks and transmission dynamics to projected climate change. Moreover, our results highlight the need for improved preparedness and public health interventions in endemic regions to minimize the impact of further climate change-induced increases in Lyme disease burden.
引用
收藏
页码:738 / 754
页数:17
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