HU Song Bo, WANG Fang, YU Chuan Hua. Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census[J]. Biomedical and Environmental Sciences, 2015, 28(6): 410-420. doi: 10.3967/bes2015.058
Citation:
HU Song Bo, WANG Fang, YU Chuan Hua. Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census[J]. Biomedical and Environmental Sciences, 2015, 28(6): 410-420. doi: 10.3967/bes2015.058
Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census
Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan 430071, Hubei, China
School of Science, Jiujiang College, Jiujiang 332005, Jiangxi, China
Funds:
This research is supported by a grant from the National Science Foundation of China:A Study on the Mortality Pattern of Chinese Population and Related Statistical Models(81273179)%China’s sixth census excluds the data of Hong Kong SAR, Macao SAR, and Taiwan
Abstract
Objective To assess the data quality and estimate the provincial infant mortality rate (1q0) from China’s sixth census. Methods A log-quadratic model is applied to under-fifteen data. We analyze and compare the average relative errors (AREs) for 1q0 between the estimated and reported values using the leave-one-out cross-validation method. Results For the sixth census, the AREs are more than 100% for almost all provinces. The estimated average 1q0 level for 31 provinces is 12.3‰for males and 10.7‰for females. Conclusion The data for the provincial 1q0 from China’s sixth census have a serious data quality problem. The actual levels of 1q0 for each province are significantly higher than the reported values.
Xiao, F., Mei, L., Jiang, Q. Urban-rural differences in China’s crude death rate changes. BMC Public Health, 2022, 22(1): 399. doi:10.1186/s12889-022-12717-9
2.
Li, C., Mi, H. Assessments of provincial mortality in China’s 2010 population census based on the Developing Countries Mortality Database model life table. Journal of Population Research, 2021, 38(2): 169-196. doi:10.1007/s12546-021-09260-6
3.
Ruan, X., Li, Y., Jin, X. et al. Health-adjusted life expectancy (HALE) in Chongqing, China, 2017: An artificial intelligence and big data method estimating the burden of disease at city level. The Lancet Regional Health - Western Pacific, 2021. doi:10.1016/j.lanwpc.2021.100110
4.
Wang, S., Wu, J. Spatial heterogeneity of the associations of economic and health care factors with infant mortality in China using geographically weighted regression and spatial clustering. Social Science and Medicine, 2020. doi:10.1016/j.socscimed.2020.113287
5.
Deng, Y., Wang, R., Zhou, X. et al. Fetal, neonatal, and infant death in central China (Hubei): A 16-year retrospective study of forensic autopsy cases. Medicine (United States), 2019, 98(23): e15788. doi:10.1097/MD.0000000000015788
6.
Wang, S., Ren, Z. Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models. International Journal of Public Health, 2019, 64(5): 773-783. doi:10.1007/s00038-019-01251-y
7.
Pasha, Y.Z., Kalantar, M.H., Ashrafiyan, H. The prevalence of neonatal and infancy mortality in the rural areas of Babol, 2010-14. Journal of Babol University of Medical Sciences, 2016, 18(9): 56-60.
8.
Wang, Y., Yang, Y., Shi, X. et al. The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China. Geospatial Health, 2016, 11(2): 104-109. doi:10.4081/gh.2016.414
Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan 430071, Hubei, China
School of Science, Jiujiang College, Jiujiang 332005, Jiangxi, China
Funds:
This research is supported by a grant from the National Science Foundation of China:A Study on the Mortality Pattern of Chinese Population and Related Statistical Models(81273179)%China’s sixth census excluds the data of Hong Kong SAR, Macao SAR, and Taiwan
Abstract: Objective To assess the data quality and estimate the provincial infant mortality rate (1q0) from China’s sixth census. Methods A log-quadratic model is applied to under-fifteen data. We analyze and compare the average relative errors (AREs) for 1q0 between the estimated and reported values using the leave-one-out cross-validation method. Results For the sixth census, the AREs are more than 100% for almost all provinces. The estimated average 1q0 level for 31 provinces is 12.3‰for males and 10.7‰for females. Conclusion The data for the provincial 1q0 from China’s sixth census have a serious data quality problem. The actual levels of 1q0 for each province are significantly higher than the reported values.
HU Song Bo, WANG Fang, YU Chuan Hua. Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census[J]. Biomedical and Environmental Sciences, 2015, 28(6): 410-420. doi: 10.3967/bes2015.058
Citation:
HU Song Bo, WANG Fang, YU Chuan Hua. Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census[J]. Biomedical and Environmental Sciences, 2015, 28(6): 410-420. doi: 10.3967/bes2015.058
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HU Song Bo, WANG Fang, YU Chuan Hua. Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census[J]. Biomedical and Environmental Sciences, 2015, 28(6): 410-420. doi: 10.3967/bes2015.058
HU Song Bo, WANG Fang, YU Chuan Hua. Evaluation and Estimation of the Provincial Infant Mortality Rate in China’s Sixth Census[J]. Biomedical and Environmental Sciences, 2015, 28(6): 410-420. doi: 10.3967/bes2015.058
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