Bai Li, Woodward Alistair, Liu Qiyong
State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, P. R. China.
School of Population Health, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Environ Health. 2016 Jan 12;15:3. doi: 10.1186/s12940-015-0081-0.
Tibet is especially vulnerable to climate change due to the relatively rapid rise of temperature over past decades. The effects on mortality and morbidity of extreme heat in Tibet have been examined in previous studies; no heat adaptation initiatives have yet been implemented. We estimated heat vulnerability of urban and rural populations in 73 Tibetan counties and identified potential areas for public health intervention and further research.
According to data availability and vulnerability factors identified previously in Tibet and elsewhere, we selected 10 variables related to advanced age, low income, illiteracy, physical and mental disability, small living spaces and living alone. We separately created and mapped county-level cumulative heat vulnerability indices for urban and rural residents by summing up factor scores produced by a principal components analysis (PCA).
For both study populations, PCA yielded four factors with similar structure. The components for rural and urban residents explained 76.5 % and 77.7 % respectively of the variability in the original vulnerability variables. We found spatial variability of heat vulnerability across counties, with generally higher vulnerability in high-altitude counties. Although we observed similar median values and ranges of the cumulative heat vulnerability index values among urban and rural residents overall, the pattern varied strongly from one county to another.
We have developed a measure of population vulnerability to high temperatures in Tibet. These are preliminary findings, but they may assist targeted adaptation plans in response to future rapid warming in Tibet.
由于过去几十年气温相对快速上升,西藏特别容易受到气候变化的影响。以往研究已考察了西藏极端高温对死亡率和发病率的影响;但尚未实施任何热适应举措。我们估算了西藏73个县城乡人口的热脆弱性,并确定了公共卫生干预及进一步研究的潜在领域。
根据西藏及其他地区先前确定的数据可用性和脆弱性因素,我们选择了10个与高龄、低收入、文盲、身心残疾、居住空间狭小及独居相关的变量。通过对主成分分析(PCA)得出的因子得分求和,我们分别创建并绘制了城乡居民县级累积热脆弱性指数。
对于两个研究人群,主成分分析均产生了结构相似的四个因子。农村和城市居民的成分分别解释了原始脆弱性变量中76.5%和77.7%的变异性。我们发现各县的热脆弱性存在空间差异,高海拔县的脆弱性普遍较高。尽管总体上我们观察到城乡居民累积热脆弱性指数值的中位数和范围相似,但各县之间的模式差异很大。
我们已制定了一项衡量西藏人口对高温脆弱性的指标。这些是初步研究结果,但它们可能有助于制定针对西藏未来快速变暖的有针对性的适应计划。