Geographical Disparity and Associated Factors of COPD Prevalence in China: A Spatial Analysis of National Cross-Sectional Study

References

• ZhouM, WangH, ZengX, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;394:1145–1158. doi:10.1016/S0140-6736(19)30427-131248666
   PubMed Web of Science ®Google Scholar
• FangL, GaoP, BaoH, et al. Chronic obstructive pulmonary disease in China: a nationwide prevalence study. Lancet Respir Med. 2018;6(6):421–430. doi:10.1016/S2213-2600(18)30103-629650407
   PubMed Web of Science ®Google Scholar
• WangC, XuJ, YangL, et al. Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China Pulmonary Health [CPH] study): a national cross-sectional study. Lancet. 2018;391(10131):1706–1717. doi:10.1016/S0140-6736(18)30841-929650248
   PubMed Web of Science ®Google Scholar
• ZhongN, WangC, YaoW, et al. Prevalence of chronic obstructive pulmonary disease in China: a large, population-based survey. Am J Respir Crit Care Med. 2007;176(8):753–760. doi:10.1164/rccm.200612-1749OC17575095
   PubMed Web of Science ®Google Scholar
• LohWY. Classification and regression trees. Wires Data Min Knowl. 2011;1(1):14–23. doi:10.1002/widm.8
   Web of Science ®Google Scholar
• LemonSC, RoyJ, ClarkMA, FriedmannPD, RakowskiW. Classification and regression tree analysis in public health: methodological review and comparison with logistic regression. Ann Behav Med. 2003;26(3):172–181. doi:10.1207/S15324796ABM2603_0214644693
   PubMed Web of Science ®Google Scholar
• LiuS, WuX, LopezAD, et al. An integrated national mortality surveillance system for death registration and mortality surveillance, China. Bull World Health Organ. 2016;94(1):46–57. doi:10.2471/BLT.15.15314826769996
   PubMed Web of Science ®Google Scholar
• FangLW, BaoHL, WangBH, et al. [A summary of item and method of national chronic obstructive pulmonary disease surveillance in China]. Zhonghua Liu Xing Bing Xue Za Zhi. 2018;39(5):546–550. doi:10.3760/cma.j.issn.0254-6450.2018.05.00229860792
   PubMedGoogle Scholar
• MaZW, HuXF, SayerAM, et al. Satellite-based spatiotemporal trends in PM2.5 concentrations: China, 2004–2013. Environ Health Persp. 2016;124(2):184–192. doi:10.1289/ehp.1409481
   PubMed Web of Science ®Google Scholar
• MillerMR, HankinsonJ, BrusascoV, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–338. doi:10.1183/09031936.05.0003480516055882
   PubMed Web of Science ®Google Scholar
• Global Initiative for Chronic Obstructive Lung Disease. Global Strategy for Diagnosis, Management and Prevention of Chronic Obstructive Pulmonary Disease 2018 Report; 2018.
   Google Scholar
• FonarowGC, AdamsKF Jr, AbrahamWT, et al. Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis. JAMA. 2005;293(5):572–580. doi:10.1001/jama.293.5.57215687312
   PubMed Web of Science ®Google Scholar
• OliverMA, WebsterR. Kriging: a method of interpolation for geographical information systems. Int J Geogr Inf Syst. 1990;4(3):313–332. doi:10.1080/02693799008941549
   Google Scholar
• CoburnBJ, BlowerS. Mapping HIV epidemics in sub-Saharan Africa with use of GPS data. Lancet Glob Health. 2013;1(5):e251–e253. doi:10.1016/S2214-109X(13)70084-625104487
   PubMed Web of Science ®Google Scholar
• LiXX, WangLX, ZhangH, et al. Spatial variations of pulmonary tuberculosis prevalence co-impacted by socio-economic and geographic factors in People’s Republic of China, 2010. BMC Public Health. 2014;14:257. doi:10.1186/1471-2458-14-25724629032
   PubMed Web of Science ®Google Scholar
• CarratF, ValleronAJ. Epidemiologic mapping using the “kriging” method: application to an influenza-like illness epidemic in France. Am J Epidemiol. 1992;135(11):1293–1300. doi:10.1093/oxfordjournals.aje.a1162361626546
   PubMed Web of Science ®Google Scholar
• DuncombeJ, ClementsA, DavisJ, HuW, WeinsteinP, RitchieS. Spatiotemporal patterns of Aedes aegypti populations in Cairns, Australia: assessing drivers of dengue transmission. Trop Med Int Health. 2013;18(7):839–849. doi:10.1111/tmi.2013.18.issue-723617766
   PubMed Web of Science ®Google Scholar
• KulldorffM, HuangL, PickleL, DuczmalL. An elliptic spatial scan statistic. Stat Med. 2006;25(22):3929–3943. doi:10.1002/sim.249016435334
   PubMed Web of Science ®Google Scholar
• RayGT, KulldorffM, AsgariMM. Geographic clusters of basal cell carcinoma in a Northern California health plan population. JAMA Dermatol. 2016;152(11):1218–1224. doi:10.1001/jamadermatol.2016.253627439152
   PubMed Web of Science ®Google Scholar
• YinP, WangH, VosT, et al. A subnational analysis of mortality and prevalence of COPD in China from 1990 to 2013: findings from the Global Burden of Disease Study 2013. Chest. 2016;150(6):1269–1280. doi:10.1016/j.chest.2016.08.147427693597
   PubMed Web of Science ®Google Scholar
• YinP, ZhangM, LiY, JiangY, ZhaoW. Prevalence of COPD and its association with socioeconomic status in China: findings from China Chronic Disease Risk Factor Surveillance 2007. BMC Public Health. 2011;11:586. doi:10.1186/1471-2458-11-58621781320
   PubMed Web of Science ®Google Scholar
• SunJ, LuoH. Evaluation on equality and efficiency of health resources allocation and health services utilization in China. Int J Equity Health. 2017;16(1):127. doi:10.1186/s12939-017-0614-y28709422
   PubMed Web of Science ®Google Scholar
• AtkinsonRW, CareyIM, KentAJ, van StaaTP, AndersonHR, CookDG. Long-term exposure to outdoor air pollution and the incidence of chronic obstructive pulmonary disease in a national English cohort. Occup Environ Med. 2015;72(1):42–48. doi:10.1136/oemed-2014-10226625146191
   PubMed Web of Science ®Google Scholar
• LinHL, QianZM, GuoYF, et al. The attributable risk of chronic obstructive pulmonary disease due to ambient fine particulate pollution among older adults. Environ Int. 2018;113:143–148. doi:10.1016/j.envint.2018.01.02929425898
   PubMed Web of Science ®Google Scholar
• ChenRJ, YinP, MengX, et al. Fine particulate air pollution and daily mortality a nationwide analysis in 272 Chinese cities. Am J Resp Crit Care. 2017;196(1):73–81. doi:10.1164/rccm.201609-1862OC
   PubMed Web of Science ®Google Scholar
• YanM, WilsonA, BellM, et al. The shape of the concentration-response association between fine particulate matter pollution and human mortality in Beijing, China, and its implications for health impact assessment. Environ Health Perspect. 2019;127(6):67007. doi:10.1289/EHP446431170008
   PubMed Web of Science ®Google Scholar