Jaber Salahuddin M, Ibbini Jwan H, Hijjawi Nawal S, Amdar Nafn M, Huwail Mohammed J, Al-Aboud Khalid
Geospat Health. 2013 Nov;8(1):143-58. doi: 10.4081/gh.2013.62.
This study explores the spatial trends of cutaneous leishmaniasis (CL) and characterises the relationships between the observed spatial patterns and climate in Jordan, Syria, Iraq and Saudi Arabia in 2009. Areal interpolation revealed the presence of four major hotspots of relatively high incidence rates covering most parts of Syria, central parts of Iraq, and north-western, central, south-eastern and south-western parts of Saudi Arabia. The severity of these hotspots was seen to decrease from high to low latitudes. The spatial patterns could be partly linked to precipitation (the higher the precipitation, the higher the incidence rates) and to a lesser degree to temperature (the lower the temperature, the higher the incidence rates). No significant relationship was deduced between the observed spatial patterns of incidence rates and humidity. However, these three climatic factors could be used jointly as explanatory variables (ceteris paribus) to explain part of the spatial variations of the CL incidence rates in the study area by applying geographically weighted regression.
本研究探讨了皮肤利什曼病(CL)的空间趋势,并对2009年约旦、叙利亚、伊拉克和沙特阿拉伯观察到的空间模式与气候之间的关系进行了特征描述。面积插值显示存在四个发病率相对较高的主要热点地区,覆盖叙利亚大部分地区、伊拉克中部地区以及沙特阿拉伯的西北部、中部、东南部和西南部地区。这些热点地区的严重程度从高纬度到低纬度逐渐降低。空间模式可能部分与降水量有关(降水量越高,发病率越高),在较小程度上与温度有关(温度越低,发病率越高)。发病率的观察空间模式与湿度之间未推断出显著关系。然而,通过应用地理加权回归,这三个气候因素可以联合用作解释变量(在其他条件相同的情况下)来解释研究区域内CL发病率的部分空间变化。