scholarly journals FACTORS AFFECTING INFANT MORTALITY RATE IN KARANGASEM, BALI

2019 ◽  
Vol 4 (1) ◽  
pp. 12-15
Author(s):  
Ni Luh Putu Suciptawati ◽  
Ni Luh Putu Suciptawati ◽  
Made Asih ◽  
Kartika Sari ◽  
I G A M Srinadi
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Birth Spacing ◽  
Linear Analysis ◽  
Infant Mortality Rate ◽  
Categorical Variables ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Log Linear

The purpose of this study was to determine the factors that influence the infant mortality rate in Karangasem, Bali. The method used in this research is the Log Linier model. In the Log linear model analyze relationship pattern among group of categorical variables which include an association of two or more variables, either simultaneously or partially. A Patterned relationship between variables can be seen from the interaction between variables. Log linear analysis does not distinguish between explanatory variables and response variables. The population in this study was all babies born in Karangasem in 2015 that is as many as 7,895 babies with live birth status and as many as 7,835 babies and 60 infants died. As a sample, 100 babies were taken, of which 60 were live and 40 died. The results show that infant mortality is affected by infant weight, how old the mother during childbirth, and interaction between birth spacing and infant weight  

Perbandingan Linieritas Dalam Pendeteksian Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Aceh

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Health Workers ◽  
Additive Model ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Penalized Spline ◽  
Aceh Province

Angka Kematian Bayi/ Infant Mortality Rate (IMR) merupakan indikator penting dalam mengukur keberhasilan pengembangan kesehatan. Nilai IMR juga dapat digunakan untuk mengetahui tingkat kesehatan ibu, kondisi kesehatan lingkungan dan secara umum, tingkat pengembangan sosio-ekonomi masyarakat. Penelitian ini bertujuan untuk memperoleh model IMR terbaik menggunakan tiga pendekatan: Model Linear, Model Linear Tergeneralisir dan Model Aditif Tergeneralisir dengan basis P-spline. Sebagai tambahan, berdasarkan model tersebut akan terlihat variabel yang mempengaruhi tingkat kematian bayi di provinsi Aceh. Penelitian ini menggunakan data jumlah kematian bayi di tahun 2013-2015. Data dalam penelitian ini diperoleh dari Profil Kesehatan Aceh. Hasil menunjukkan bahwa model terbaik dalam menjelaskan angka kematian bayi di provinsi Aceh tahun 2013-2015 ialah Model Linear Tergeneralisir dengan basis P-spline menggunakan parameter penghalusan 100 dan titik knots 8. Faktor yang sangat mempengaruhi angka kematian ialah jumlah pekerja yang sehat.   Infant mortality rate (IMR) is an important indicator in measuring the success of health development. IMR also can be used to knowing the level of maternal health, environmental health conditions and generally the level of socio-economic development in community. This research aims to get the best model of infant mortality data using three approaches: Linear Model, Generalized Linear Model and Generalized Additive Model with Penalized Spline (P-spline) base. In addition, based on the model can be seen the variables that affect to infant mortality in Aceh Province. This research uses data number of infant mortality in Aceh Province period 2013-2015. The data in this research were obtained from Aceh’s Health Profile. The results show that the best model can be explain infant mortality rate in Aceh Province period 2013-2015 is GAM model with P-spline base using smoothing parameter 100 and knots 8. Factor that high effect to infant mortality is number of health workers.

scholarly journals Factors Affecting Fertility – New Evidence from Malaysia

2017 ◽  
Vol 36 (36) ◽  
pp. 7-20
Author(s):  
Atif Awad ◽  
Ishak Yussof
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Impact ◽  
Positive Impact ◽  
Infant Mortality Rate ◽  
Fertility Rates ◽  
Short Term ◽  
Factors Affecting ◽  
Distributed Lag ◽  
Education And Employment

Abstract This research paper investigates long and short term determinants of fertility rates in Malaysia based on basic macroeconomic variables for the period 1980-2014 using Auto Regressive Distributed Lag (ARDL) method. The study reveals that over a long term period, all the selected variables (GDP, infant mortality rate, females’ education and employment) have had significant and negative impact on total fertility rates. Whilst during the short term period, only the infant mortality rate has had a positive impact. Since population growth is partly determined by fertility rates, efforts to increase population in Malaysia should consider factors that affect those rates.

scholarly journals Understanding State-Level Variations in the US Infant Mortality: 2000 to 2015

2018 ◽  
Vol 36 (12) ◽  
pp. 1271-1277
Author(s):  
Alireza Ebrahimvandi ◽  
Niyousha Hosseinichimeh ◽  
Jay Iams
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
State Level ◽  
Infant Mortality Rate ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
Infant Deaths ◽  
Factors Associated ◽  
Effect Regression ◽  
Causes Of Mortality

Objective To exploit state variations in infant mortality, identify diagnoses that contributed to reduction of the infant mortality rate (IMR), and examine factors associated with preterm-related mortality rate (PMR). Study Design Using linked birth-infant deaths files, we examined patterns in the leading causes of IMR. We compared these rates at both national and state levels to find reduction trends. Creating a cross-sectional time series of states' PMR and some explanatory variables, we implemented a fixed-effect regression model to examine factors associated with PMR at the state level. Results We found substantial state-level variations in changes of the IMR (range =  − 2.87–2.08) and PMR (−1.77–0.67). Twenty-one states in which the IMR declined more than the national average of 0.99 (6.89–5.90) were labeled as successful. In the successful states, we found reduction in the PMR accounted for the largest decline in the IMR—0.90 fewer deaths. Changes in the other subgroups of leading causes did not differ significantly in successful and unsuccessful states. Conclusion Trends in the causes of mortality are heterogeneous across states. Although its impact is not large, reducing the percentage of pregnant women with inadequate care is one of the mechanisms through which the PMR decrease.

Major Determinants of Infant Mortality

2018 ◽  
Vol 20 (3) ◽  
pp. 345-362
Author(s):  
Subhanil Banerjee
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Nutritional Status ◽  
Birth Spacing ◽  
Infant Mortality Rate ◽  
Development Indicators ◽  
Behavioural Factors ◽  
Health Programmes ◽  
Better Than

Infant mortality rate (IMR) is one of the most important development indicators. In India, there is a severe interstate disparity regarding IMR. Kerala registers a very low IMR; whereas in Odisha it is pretty high. It is somewhat paradoxical as Odisha fares substantially better than many other states with lower IMR regarding total fertility rate, antenatal care and in many other aspects. The present article attempts to investigate the applicability of usually perceived major determinants of IMR as evidenced in the existing literature for Odisha. The panel data multiple regression carried out with data of 30 districts of Odisha over three years indicates that physiological and behavioural factors together with maternal and demographic factors are perhaps more important than the health programmes for reduction of IMR in Odisha. Moreover, many of the usually perceived major determinants of IMR including economic betterment are statistically insignificant for Odisha. The policymakers should take into account these facts and instead of a series of health programmes, they might resort to awareness building regarding breastfeeding and birth spacing. Mother’s nutritional status should also be strengthened so that they can sustain exhaustive breastfeeding for first six months after the birth of the child.

Role of the environment in the decline of infant mortality: an analysis of the 1911 Census of England and Wales

1986 ◽  
Vol 18 (4) ◽  
pp. 457-470 ◽  
Author(s):  
Patricia A. Watterson
Keyword(s):  
Multivariate Analysis ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Significant Proportion ◽  
Infant Mortality Rate ◽  
Poverty Level ◽  
Explanatory Variables ◽  
Retrospective Reports ◽  
The Subject

SummaryThis study tests the proposition that the contribution of environmental factors to the reduction of infant mortality early in the twentieth century was greater than that made by the alleviation of poverty. The estimates were obtained from retrospective reports of women enumerated at the 1911 Census, and covered the period from approximately 1895 to 1910. Infant mortality by father's occupation underwent an average decline of 35% from a peak infant mortality rate (IMR) of 132, with wide variation. The removal of poor (usually urban) residential conditions was probably associated with the decline, but, except at the extremes, income did not explain the differences. In the 97 great towns, the subject of this study, where the average decline in IMR was also 35% from a peak of 146, the rate of urbanization over 20 years accounted for a significant proportion of the differential decline, and measures of poverty added little to the explanation. This conclusion survived multivariate analysis using urban development and poverty level as explanatory variables, and controlling for fertility decline and selective migration.

Factors Affecting Reports of Neonatal Deaths in United States and Elsewhere

PEDIATRICS ◽  
1970 ◽  
Vol 45 (6) ◽  
pp. 1042-1042
Author(s):  
Laurance N. Nickey
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Infant Mortality ◽  
The United States ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Factors Affecting ◽  
Neonatal Deaths ◽  
American Academy Of Pediatrics

Again, I have read that the United States' infant mortality rate is "a disgrace and totally unacceptable," that the Nation's infant mortality rate is 21.7 per 1000 live births, and that there are 12 countries which have lower infant mortality rates than the United States. I would very much like to challenge the Editorial Board of Pediatrics and the American Academy of Pediatrics to help clarify this somewhat mysterious but often quoted figure. I would like to see in print an authoritative report outlining the criteria for neonatal death as used in this country and its several states, and also the countries that are commonly listed in the forefront, in so far as infant mortality rates are concerned.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

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