Abstract:
Objective Analysis the dynamic changes and future trends of infant mortality in Haian county during 1996-2015.
Methods Based on the infant mortality rate of Haian in 1996-2010, dynamic series analysis method, the average growth amount, the average speed of development as well as the average growth rate analysis were applied to describe the variation of infant mortality.Furthermore, in order to screen the best prediction model and forecast the infant mortality rate, comprehensive analysis of variation degree was pursued by comparing of curve fitting and making goodness of fit, together with the comparison of predicted results with the monitoring results. And analyzed infant mortality by retrospectively history fitting, predicted the infant mortality rate in future. Trend prediction method and corrected the method were used for formulating the average growth of the "13 th Five-Year" infant mortality control standard.
Results In 1996-2010, infant mortality in Haian was decreasing on the whole trend. During the 15 years, the average growth rate of infant mortality was -0.62 per thousand, while the average speed of development was 92. 92%, and the average rate of decrease was 7. 08%. During the period of "9 th Five-Year ", the infant mortality rate dropped maximum at an average annual rate, and the rate of decline was the fastest during the "11 th Five-Year" period. In comparison, the average decrease was the slowest during the period of "12 th Five-Year", and the average rate of decline was the slowest. Thus, the best model of dynamic change of Haian County for infant mortality is index function with the equation of
y=15. 9537 exp
(-0. 0778 t) (
R2=0. 901, the estimated value of the standard error is 0. 120,
F=118. 236,
P< 0. 05), which reconstructed history of infant mortality and forecasts infant mortality.
Conclusion Haian infant mortality rate is national urban level in the same period, and lower during "12 th Five-Year". It is recommended that infant mortality rate would be controlled lower than 4 per thousand in "13 th Five-Year".