Emerging Pathogens Institute and the Department of Geography, University of Florida, Gainesville, Florida, USA.
PLoS One. 2010 Mar 9;5(3):e9596. doi: 10.1371/journal.pone.0009596.
Anthrax, caused by the bacterium Bacillus anthracis, is a zoonotic disease that persists throughout much of the world in livestock, wildlife, and secondarily infects humans. This is true across much of Central Asia, and particularly the Steppe region, including Kazakhstan. This study employed the Genetic Algorithm for Rule-set Prediction (GARP) to model the current and future geographic distribution of Bacillus anthracis in Kazakhstan based on the A2 and B2 IPCC SRES climate change scenarios using a 5-variable data set at 55 km(2) and 8 km(2) and a 6-variable BioClim data set at 8 km(2). Future models suggest large areas predicted under current conditions may be reduced by 2050 with the A2 model predicting approximately 14-16% loss across the three spatial resolutions. There was greater variability in the B2 models across scenarios predicting approximately 15% loss at 55 km(2), approximately 34% loss at 8 km(2), and approximately 30% loss with the BioClim variables. Only very small areas of habitat expansion into new areas were predicted by either A2 or B2 in any models. Greater areas of habitat loss are predicted in the southern regions of Kazakhstan by A2 and B2 models, while moderate habitat loss is also predicted in the northern regions by either B2 model at 8 km(2). Anthrax disease control relies mainly on livestock vaccination and proper carcass disposal, both of which require adequate surveillance. In many situations, including that of Kazakhstan, vaccine resources are limited, and understanding the geographic distribution of the organism, in tandem with current data on livestock population dynamics, can aid in properly allocating doses. While speculative, contemplating future changes in livestock distributions and B. anthracis spore promoting environments can be useful for establishing future surveillance priorities. This study may also have broader applications to global public health surveillance relating to other diseases in addition to B. anthracis.
炭疽是由炭疽杆菌引起的一种人畜共患疾病,在世界上许多地区的牲畜、野生动物中持续存在,并可继发感染人类。这在中亚大部分地区,尤其是哈萨克斯坦的草原地区都是如此。本研究采用遗传算法规则集预测(GARP)模型,根据 A2 和 B2 IPCC SRES 气候变化情景,利用 5 个变量数据集(55km²和 8km²)和 6 个变量生物气候数据集(8km²),预测当前和未来哈萨克斯坦炭疽杆菌的地理分布。未来模型表明,在 A2 模型下,预计约有 14-16%的地区会因气候变化而减少,在三种空间分辨率下,约有 14-16%的地区会因气候变化而减少,而在 B2 模型下,这种情况的变化幅度更大,在三种空间分辨率下,约有 15%的地区会因气候变化而减少。在这两种情景下,B2 模型的预测结果都存在较大的不确定性,在 55km²的分辨率下,约有 15%的地区会因气候变化而减少,在 8km²的分辨率下,约有 34%的地区会因气候变化而减少,而在生物气候变量下,约有 30%的地区会因气候变化而减少。无论是在 A2 还是 B2 模型下,都只有非常小的区域预测会向新的区域扩展。在 A2 和 B2 模型下,哈萨克斯坦南部地区的生境丧失面积预计更大,而在 B2 模型的 8km²分辨率下,北部地区的生境也预计会适度丧失。炭疽病的控制主要依赖于牲畜接种疫苗和正确处理尸体,这两者都需要充分的监测。在许多情况下,包括哈萨克斯坦在内,疫苗资源都很有限,因此,了解炭疽杆菌的地理分布情况,并结合当前的牲畜种群动态数据,可以帮助我们合理分配疫苗剂量。虽然这只是推测,但考虑到牲畜分布和炭疽杆菌孢子促进环境的未来变化,对于确定未来的监测重点是有用的。此外,本研究还可以更广泛地应用于与炭疽杆菌以外的其他疾病相关的全球公共卫生监测。