OBJECTIVE: This study examined the differences in neonatal mortality rates between urban and rural areas in China. METHODS AND RESULTS: Data were taken from a database collected by the Chinese surveillance network for mortality of children under 5 years of age. The risk ratio of neonatal mortality for rural versus urban areas was between 2.2 and 2.7 for 1996-2006 and it declined to 2.0 in 2005-6. Pneumonia, birth asphyxia and preterm birth or low birth weight were the major contributors to the urban-rural differences in neonatal mortality, together with a relatively high proportion of home delivery and a relatively lower proportion of hospital treatment in rural areas. CONCLUSION: The urban-rural differences reflect the gap between the developed and the underdeveloped regions in China at that period. The neonatal mortality rate in China's rural areas could decrease further if continuous efforts are successful to increase the rates of hospital delivery in rural areas.
OBJECTIVE: This study examined the differences in neonatal mortality rates between urban and rural areas in China. METHODS AND RESULTS: Data were taken from a database collected by the Chinese surveillance network for mortality of children under 5 years of age. The risk ratio of neonatal mortality for rural versus urban areas was between 2.2 and 2.7 for 1996-2006 and it declined to 2.0 in 2005-6. Pneumonia, birth asphyxia and preterm birth or low birth weight were the major contributors to the urban-rural differences in neonatal mortality, together with a relatively high proportion of home delivery and a relatively lower proportion of hospital treatment in rural areas. CONCLUSION: The urban-rural differences reflect the gap between the developed and the underdeveloped regions in China at that period. The neonatal mortality rate in China's rural areas could decrease further if continuous efforts are successful to increase the rates of hospital delivery in rural areas.
Authors: Yanping Wang; Xiaohong Li; Maigeng Zhou; Shusheng Luo; Juan Liang; Chelsea A Liddell; Matthew M Coates; Yanqiu Gao; Linhong Wang; Chunhua He; Chuyun Kang; Shiwei Liu; Li Dai; Austin E Schumacher; Maya S Fraser; Timothy M Wolock; Amanda Pain; Carly E Levitz; Lavanya Singh; Megan Coggeshall; Margaret Lind; Yichong Li; Qi Li; Kui Deng; Yi Mu; Changfei Deng; Ling Yi; Zheng Liu; Xia Ma; Hongtian Li; Dezhi Mu; Jun Zhu; Christopher J L Murray; Haidong Wang Journal: Lancet Date: 2015-10-26 Impact factor: 79.321
Authors: Juan Liang; Li Dai; Jun Zhu; Xiaohong Li; Weiyue Zeng; He Wang; Qi Li; Mingrong Li; Rong Zhou; Yanping Wang Journal: BMC Public Health Date: 2011-04-19 Impact factor: 3.295
Authors: Chunhua He; Li Liu; Yue Chu; Jamie Perin; Li Dai; Xiaohong Li; Lei Miao; Leni Kang; Qi Li; Robert Scherpbier; Sufang Guo; Igor Rudan; Peige Song; Kit Yee Chan; Yan Guo; Robert E Black; Yanping Wang; Jun Zhu Journal: Lancet Glob Health Date: 2016-12-20 Impact factor: 26.763
Authors: Nicholas X Tan; Chara Rydzak; Li-Gang Yang; Peter Vickerman; Bin Yang; Rosanna W Peeling; Sarah Hawkes; Xiang-Sheng Chen; Joseph D Tucker Journal: PLoS Med Date: 2013-01-22 Impact factor: 11.069