Lantos Paul M, Tsao Jean, Janko Mark, Arab Ali, von Fricken Michael E, Auwaerter Paul G, Nigrovic Lise E, Fowler Vance, Ruffin Felicia, Gaines David, Broyhill James, Swenson Jennifer
Departments of Medicine, Pediatrics, Community and Family Medicine, and Global Health, Duke University, Durham, NC.
Department of Fisheries and Wildlife, Michigan State University, Lansing, MI.
J Med Entomol. 2021 Jul 16;58(4):1680-1685. doi: 10.1093/jme/tjab038.
Lyme disease is the most common tick-borne disease in North America. Though human infection is mostly transmitted in a limited geography, the range has expanded in recent years. One notable area of recent expansion is in the mountainous region of southwestern Virginia. The ecological factors that facilitate or constrain the range of human Lyme disease in this region remain uncertain. To evaluate this further, we obtained ecological data, including remotely sensed data on forest structure and vegetation, weather data, and elevation. These data were aggregated within the census block groups of a 9,153 km2 area around the cities of Blacksburg and Roanoke, VA, an area with heterogeneous Lyme disease transmission. In this geographic area, 755 individuals were reported to have Lyme disease in the 10 yr from 2006 to 2015, and these cases were aggregated by block group. A zero-inflated negative binomial model was used to evaluate which environmental variables influenced the abundance of Lyme disease cases. Higher elevation and higher vegetation density had the greatest effect size on the abundance of Lyme disease. Measures of forest edge, forest integrity, temperature, and humidity were not associated with Lyme disease cases. Future southward expansion of Lyme disease into the southeastern states may be most likely in ecologically similar mountainous areas.
莱姆病是北美最常见的蜱传疾病。尽管人类感染大多在有限的地理区域传播,但近年来其范围已有所扩大。近期一个显著的扩张区域是弗吉尼亚州西南部的山区。该地区促进或限制人类莱姆病传播范围的生态因素仍不明确。为了进一步评估这一点,我们获取了生态数据,包括关于森林结构和植被的遥感数据、气象数据以及海拔数据。这些数据在弗吉尼亚州布莱克斯堡和罗阿诺克市周边9153平方公里区域的普查街区组内进行汇总,该区域莱姆病传播情况各异。在这个地理区域,2006年至2015年的10年间有755人被报告感染莱姆病,这些病例按街区组进行了汇总。使用零膨胀负二项式模型来评估哪些环境变量影响莱姆病病例的数量。海拔较高和植被密度较大对莱姆病病例数量的影响最大。森林边缘、森林完整性、温度和湿度的指标与莱姆病病例无关。未来莱姆病向南扩展到东南部各州,最有可能发生在生态相似的山区。