Ecuadorian infant mortality linked to socioeconomic factors during the last 30 years
2019 ◽
Vol 19
(2)
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pp. 295-301
Keyword(s):
Abstract Objectives: to analyze the difference among geographical units and the evolution of infant mortality rate (IMR) based on Ecuadorian censuses (1990-2001-2010). Methods: artificial Neural Network analyzed the impact of sociodemographic factors over the variability of IMR. Poisson regression analyzed the variation of the standardized IMR (sIMR). Results: the decrease in the national IMR was 63.8%; however, 42.8% provinces showed an increase in 2001-2010. The variability was explained mainly by illiteracy decrease. The adjusted RR between provincial sIMR with illiteracy and poverty revealed a trend towards the unit. Conclusions: the variation of IMR reflects a complex interaction of the sociodemographic factors.
1981 ◽
Vol 30
(4)
◽
pp. 281-284
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Keyword(s):
2018 ◽
Vol 72
(12)
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pp. 1173-1173
Keyword(s):
Modelling infant mortality rate in Central Java, Indonesia use generalized poisson regression method
2018 ◽
Vol 1025
◽
pp. 012106