Background: Auto regressive spatial model or spatial lag is a model that combines a simple regression model with spatial lag dependent variable using cross section data. East Java Province was one of the five largest contributors to IMR in Indonesia. In 2014, the IMR in East
Java was 9 per 1,000 live births. Thus, this research aimed to find the factors affecting IMR using the spatial lag. Method: This research was using a non-reactive or non-obstructive study method, by analyzing secondary data from the health profile and Susenas (National Social
Economic Survey) of East Java Province in 2014. The dependent variable was the IMR and the independent variable were the coverage of pregnancy visit K1 (X2), coverage of pregnancy visit K4 (X3), delivery by health personnel (X4), neonatal visit
1 (X5), and complete neonatal visit (X6), the ratio of midwives (X7) and the ratio of Posyandu (X8). Results: The result of the study showed: (1) Variables that affect the IMR were the coverage of the first antenatal visit or K1
(p = 0.003), the coverage of the fourth ante natal visit or K4 (p = 0.01), and the ratio of Posyandu (p = 0.03). (2) IMR model that being obtained was = 1.68 * coverage of first ante natal visit K1 − 1.20 * coverage of fourth ante natal visit
or K4 − 0.12 * Posyandu ratio + 0.29 WY. Conclusion: Variables of coverage of the first ante natal visit or K1, coverage of the fourth ante natal visit or K4 and the ratio of Posyandu supported the IMR model by 67%.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Infant Mortality Rate;
Spatial Lag Model
Document Type: Research Article
Department of Biostatistics and Population Study, Faculty of Public Health, Airlangga University, Jl. Mulyosari, Kampus C Universitas Airlangga, Surabaya, 60115, Indonesia
Publication date: April 1, 2017
More about this publication?
ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites