Literature DB >> 1301261

[Selection of DSP points in second stage and their presentation].

G Yang1.   

Abstract

The principal of selecting DSP points is discussed. Because social and economic development is not balance, developing level of health business and health situation of population are obvious varies in different areas of China. In order to ensure that health information from surveillance population can be used to infer health situation of national population, the feature of geographic, administrative areas and various health situation in different areas are considered. The principals of selecting DSP are: 1. To assure well-balance of geographic distribution of DSP. 2. To assure well-balance of distribution of DSP in different kind of areas, according to above 9 index, GNP, illiterate rate, birth rate, infant death rate, rough death rate, ratio of 0-14 years people to total people, ratio of about 65 years people to total people, ratio of labor in industry to total people, and ratio of labor in agriculture to total people. The way of select DSP is: Multistage stratified random sampling (PPS). Meanwhile in order to avoid systematic error, about 15% points which are no qualified were changed. Therefore whether data from DSP can be represented health level of population of whole nation has been tested. The conclusion is that the data from DSP can indeed do so.

Entities:  

Mesh:

Year:  1992        PMID: 1301261

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  11 in total

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2.  Mortality registration and surveillance in China: History, current situation and challenges.

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3.  Trends in traumatic brain injury mortality in China, 2006-2013: A population-based longitudinal study.

Authors:  Peixia Cheng; Peng Yin; Peishan Ning; Lijun Wang; Xunjie Cheng; Yunning Liu; David C Schwebel; Jiangmei Liu; Jinlei Qi; Guoqing Hu; Maigeng Zhou
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4.  Prevention of Chronic Hepatitis B after 3 Decades of Escalating Vaccination Policy, China.

Authors:  Fuqiang Cui; Lipin Shen; Li Li; Huaqing Wang; Fuzhen Wang; Shengli Bi; Jianhua Liu; Guomin Zhang; Feng Wang; Hui Zheng; Xiaojin Sun; Ning Miao; Zundong Yin; Zijian Feng; Xiaofeng Liang; Yu Wang
Journal:  Emerg Infect Dis       Date:  2017-05       Impact factor: 6.883

5.  Measuring the completeness of death registration in 2844 Chinese counties in 2018.

Authors:  Xinying Zeng; Tim Adair; Lijun Wang; Peng Yin; Jinlei Qi; Yunning Liu; Jiangmei Liu; Alan D Lopez; Maigeng Zhou
Journal:  BMC Med       Date:  2020-07-03       Impact factor: 8.775

6.  Excess mortality in Wuhan city and other parts of China during the three months of the covid-19 outbreak: findings from nationwide mortality registries.

Authors:  Jiangmei Liu; Lan Zhang; Yaqiong Yan; Yuchang Zhou; Peng Yin; Jinlei Qi; Lijun Wang; Jingju Pan; Jinling You; Jing Yang; Zhenping Zhao; Wei Wang; Yunning Liu; Lin Lin; Jing Wu; Xinhua Li; Zhengming Chen; Maigeng Zhou
Journal:  BMJ       Date:  2021-02-24

7.  Spatiotemporal variations in ischemic heart disease mortality and related risk factors in China between 2010 and 2015: a multilevel analysis.

Authors:  Baohua Wang; Peiyao Li; Fengdie He; Yuting Sha; Xia Wan; Lijun Wang
Journal:  BMC Public Health       Date:  2021-01-04       Impact factor: 3.295

8.  An integrated national mortality surveillance system for death registration and mortality surveillance, China.

Authors:  Shiwei Liu; Xiaoling Wu; Alan D Lopez; Lijun Wang; Yue Cai; Andrew Page; Peng Yin; Yunning Liu; Yichong Li; Jiangmei Liu; Jinling You; Maigeng Zhou
Journal:  Bull World Health Organ       Date:  2015-10-28       Impact factor: 9.408

9.  A feasibility study on using smartphones to conduct short-version verbal autopsies in rural China.

Authors:  Jing Zhang; Rohina Joshi; Jixin Sun; Samantha R Rosenthal; Miao Tong; Cong Li; Rasika Rampatige; Meghan Mooney; Alan Lopez; Lijing L Yan
Journal:  Popul Health Metr       Date:  2016-08-20

10.  The temporal trend and distribution characteristics in mortality of Alzheimer's disease and other forms of dementia in China: Based on the National Mortality Surveillance System (NMS) from 2009 to 2015.

Authors:  Zhenyan Bo; Yang Wan; Steven Siyao Meng; Tengfei Lin; Weihong Kuang; Lijun Jiang; Peiyuan Qiu
Journal:  PLoS One       Date:  2019-01-31       Impact factor: 3.240

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