Share This Article:

Infant Mortality Rate Statistic Method and Difference Analysis in China

Abstract Full-Text HTML Download Download as PDF (Size:238KB) PP. 236-243
DOI: 10.4236/ojs.2011.13027    6,420 Downloads   10,780 Views   Citations
Author(s)    Leave a comment

ABSTRACT

Infant mortality rate (IMR) has been viewed as the vital index which can be used to measure the health level of a country or a district, and also can indirectly illustrate the economic development level of the country or district. In this paper, the authors 1) introduce three calculation methods of IMR and compare the differences among them; 2) calculate the IMR using one method above, and find the IMRs recorded in China Population Statistic Yearbook (CPSY) from National Statistics Institute and in China Health Statistic Yearbook from Ministry of National Hygiene are both overestimated; 3) point out three main reasons for this overestimation: firstly, confusion of methods of calculation and concepts, secondly, inconsistent statistical caliber among different yearbooks, thirdly, flaws within the registration system.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

B. Du and Y. Zhang, "Infant Mortality Rate Statistic Method and Difference Analysis in China," Open Journal of Statistics, Vol. 1 No. 3, 2011, pp. 236-243. doi: 10.4236/ojs.2011.13027.

References

[1] S. Luo and Y. Wang, “Chinese Infant Mortality Rate during 1998 to 2003 and Relevant Factors Analysis,” Maternal and Child Health Care of China, Vol. 21, No. 13, 2006, pp. 1841-1845
[2] X. Feng and X. Gu, “Chinese Infant Mortality Rate Ana- lysis,” Chinese Health Statistic, Vol. 8, No. 1, 1991, pp. 36-38
[3] Z. Liu, C. Wu and R. Zha, “Demography,” Renmin University of China Press, Beijing, 1980, pp. 94-105 & 200- 212.
[4] S. Weng and S. Wang, “Chinese Infant Mortality Rate Changes Analysis,” Chinese Population Science, No. 3, 1992, pp. 23-26
[5] J. Jiang, “Infant Mortality Analysis in Xi Cheng District from 1950 to 2004,” Chinese Health Statistic, Vol. 25, No. 3, 2008, p. 335.
[6] China Population Statistic Yearbook and China Health Statistic Yearbook.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.