scholarly journals Inequalities in Infant Mortality in Brazil at Subnational Levels in Brazil, 1990 to 2015

2020 ◽  
Author(s):  
Celia Landmann Szwarcwald ◽  
Wanessa da Silva de Almeida ◽  
Renato Azeredo Teixeira ◽  
Elisabeth Barboza França ◽  
Marina Jorge de Miranda ◽  
...  
Keyword(s):  
Infant Mortality ◽  
Marked Decrease ◽  
Neonatal Period ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Global Burden ◽  
Live Births ◽  
Inequality Measures ◽  
Per Capita ◽  
Annual Decline

Abstract Background: In this study, infant mortality rate (IMR) inequalities are analyzed from 1990 to 2015 in different geographic scales. Methods: The Ministry of Health (MoH) IMR estimates by Federative Units (FU) were compared to those obtained by the Global Burden of Disease (GBD) group. In order to measure the inequalities of the IMR by FU, the ratios from highest to lowest from 1990 to 2015 were calculated. Maps were elaborated in 2000, 2010 and 2015 at the municipality level. To analyze the effect of income, IMR inequalities by GDP per capita were analyzed, comparing Brazil and the FU to other same-income level countries in 2015, and the IMR municipal estimates were analyzed by income deciles, in 2000 and 2010. Results: IMR decreased from 47.1 to 13.4 per 1,000 Live Births (LB) from 1990 to 2015, with an annual decrease rate of 4.9%. The decline was less pronounced for the early neonatal annual rate (3.5%). The Northeast region showed the most significant annual decline (6.2%). The IMR estimates carried out by the GBD were about 20% higher than those obtained by the MoH, but in terms of their inequalities, the ratio from the highest to the lowest IMR among the 27 FU decreased from 4 to 2, for both methods. The percentage of municipalities with IMR higher than 40 per 1000 LB decreased from 23% to 2%, between 2000 and 2015. Comparing the IMR distribution by income deciles, all inequality measures of the IMR decreased markedly from 2000 to 2010. Conclusion: The results showed a marked decrease in the IMR inequalities in Brazil, regardless of the geographic breakdown and the calculation method. Despite clear signs of progress in curbing infant mortality, there are still challenges in reducing its level, such as the concentration of deaths in the early neonatal period, and the specific increases of post neonatal mortality in 2016, after the recent cuts in social investments.

scholarly journals Inequalities in infant mortality in Brazil at subnational levels in Brazil, 1990 to 2015

2020 ◽  
Vol 18 (S1) ◽  
Author(s):  
Célia Landmann Szwarcwald ◽  
Wanessa da Silva de Almeida ◽  
Renato Azeredo Teixeira ◽  
Elisabeth Barboza França ◽  
Marina Jorge de Miranda ◽  
...  
Keyword(s):  
Infant Mortality ◽  
Marked Decrease ◽  
Neonatal Period ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Global Burden ◽  
Live Births ◽  
Inequality Measures ◽  
Per Capita ◽  
Annual Decline

Abstract Background In this study, infant mortality rate (IMR) inequalities are analyzed from 1990 to 2015 in different geographic scales. Methods The Ministry of Health (MoH) IMR estimates by Federative Units (FU) were compared to those obtained by the Global Burden of Disease (GBD) group. In order to measure the inequalities of the IMR by FU, the ratios from highest to lowest from 1990 to 2015 were calculated. Maps were elaborated in 2000, 2010, and 2015 at the municipality level. To analyze the effect of income, IMR inequalities by GDP per capita were analyzed, comparing Brazil and the FU to other same-income level countries in 2015, and the IMR municipal estimates were analyzed by income deciles, in 2000 and 2010. Results IMR decreased from 47.1 to 13.4 per 1000 live births (LB) from 1990 to 2015, with an annual decrease rate of 4.9%. The decline was less pronounced for the early neonatal annual rate (3.5%). The Northeast region showed the most significant annual decline (6.2%). The IMR estimates carried out by the GBD were about 20% higher than those obtained by the MoH, but in terms of their inequalities, the ratio from the highest to the lowest IMR among the 27 FU decreased from 4 to 2, for both methods. The percentage of municipalities with IMR higher than 40 per 1000 LB decreased from 23% to 2%, between 2000 and 2015. Comparing the IMR distribution by income deciles, all inequality measures of the IMR decreased markedly from 2000 to 2010. Conclusion The results showed a marked decrease in the IMR inequalities in Brazil, regardless of the geographic breakdown and the calculation method. Despite clear signs of progress in curbing infant mortality, there are still challenges in reducing its level, such as the concentration of deaths in the early neonatal period, and the specific increases of post neonatal mortality in 2016, after the recent cuts in social investments.

Commanding the “Be Fruitful and Multiply” Directive: Reproductive Ethics, Law, and Policy in Israel

2010 ◽  
Vol 19 (3) ◽  
pp. 363-371 ◽  
Author(s):  
DANIEL SPERLING
Keyword(s):  
Exchange Rate ◽  
Mortality Rate ◽  
Life Expectancy ◽  
Developed Countries ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Reproductive Ethics ◽  
Live Births ◽  
Law And Policy ◽  
Per Capita

As of June 2009, Israel’s population was 7,424,400 people, 5,604,900 of which were Jewish, 1,502,400 were Arabs, and approximately 317,200 had no religion or are non-Arab Christians. Established in 1948, Israel is a highly urban and industrialized country. Its gross domestic product (GDP) per capita (based on exchange rate) is US$23,257, positioning it among the European developed countries. Life expectancy is 79 years for males and 82 years for females, with infant mortality rate of 4 cases per 1,000 live births. Of Israel’s GDP, 7.7% is spent on health.

scholarly journals Socioeconomic Determinants of Infant Mortality Rate in Asean: A Panel Data Analysis

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Vita Kartika Sari ◽  
Dwi Prasetyani
Keyword(s):  
Health Status ◽  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Strong Influence ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Per Capita

The infant mortality rate indicates the health status of a country. Previous studies have proven that socioeconomic factors have a significant influence on infant mortality rates in both developed and developing countries. Further studies on infant mortality rates are useful for public service strategic policy in the health sector. The main purpose of this study was to analyze the socioeconomic factors influencing infant mortality rates in ASEAN based on panel data estimates for 2000-2017. The dependent variable for this study was infant mortality rate, while the independent variables were health expenditure, female labor force, maternal fertility rate, and GDP per capita. The authors concluded that the main cause of infant mortality in ASEAN is care during delivery. Other influencing factors include family health status, maternal education level, and socio-economic inequality. This study found that the size of the female workforce has a strong influence on increasing the infant mortality rate in ASEAN. The fertility rate also had a strong influence on increasing infant mortality rate in ASEAN, while GDP per capita had a negative influence on infant mortality rate.  Health expenditure is proven to have no effect on the increase of infant mortality rates in ASEAN.

scholarly journals THE EFFECT OF HIGHER EDUCATION, POPULATION DENSITY, BABY MORTALITY, AND GDP PER-CAPITA TO THE FERTILITY LEVEL IN INDONESIA

2019 ◽  
Author(s):  
Paskasius Kletus Aprila Severus
Keyword(s):  
Higher Education ◽  
Infant Mortality ◽  
Population Density ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Large Contribution ◽  
Fertility Level ◽  
Causality Test ◽  
Independent Variables ◽  
Per Capita

The goal of this research is to see whether higher education, population density, infant mortality and GDP per capita has impact on fertility in Indonesia or not. This study used estimates of Vector Error Correction Model (VECM) where the estimated VECM simultaneously contained the analysis of changes in the short term, and also long term. The study also includes granger causality test. Then to estimate the large contribution of independent variables in influencing the dependent variable, variance decomposition test was also included. The results showed there were three independent variables that had a significant influence, including the participation of higher education, population density, and GDP per capita in the long run, while the infant mortality rate did not affect the changes in fertility rates.

scholarly journals Socioeconomic development and life expectancy relationship: evidence from the EU accession candidate countries

Genus ◽  
2020 ◽  
Vol 76 (1) ◽  
Author(s):  
Goran Miladinov
Keyword(s):  
Infant Mortality ◽  
Life Expectancy ◽  
Socioeconomic Development ◽  
Theoretical Background ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Pool Data ◽  
Eu Accession ◽  
Life Expectancy At Birth ◽  
Per Capita

AbstractThis paper investigates the effect of the socioeconomic development on life expectancy at birth as an indicator of mortality or longevity in five EU accession candidate countries (Macedonia, Serbia, Bosnia and Herzegovina, Montenegro, and Albania). Using aggregate time series pool data on an annual level from UN and World Bank databases for the period 1990–2017 and Full Information Maximum Likelihood model, it was found that this connection between the socioeconomic conditions and life expectancy at birth is a prerequisite for longer life in all these five countries. Our dependent variable was the life expectancy at birth, and the background exploratory variables for the socioeconomic development were GDP per capita and infant mortality rate. The main results are that higher values of GDP per capita and lower values of infant mortality levels lead to higher life expectancy at birth suggesting that longevity of people in these five countries is increasing. These results are supported by our theoretical background and research framework hypotheses.

scholarly journals Investigating the Causality Between Remittances, Infant Mortality, and Economic Growth in India: A Cointegration and Vector Error Correction Model Analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 21
Author(s):  
Hassan Rashid ◽  
Miguel D. Ramirez
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Series Data ◽  
Real Gdp ◽  
Long Run ◽  
Real Gdp Per Capita ◽  
Per Capita

The main objective of this paper is to analyze the impact of remittances on human development as measured by infant mortality rates and real GDP per capita in India using time series data for the 1975-2018 period. By employing the Zivot-Andrews single-break unit root test and cointegration analysis using the Johansen procedure, a stable long-run relationship is found among the variables. Consequently, by estimating a VECM with dummy variables, results indicate that, in the long run, both remittances and real GDP per capita have a negative and significant impact on infant mortality rates in India. With infant mortality rate as a dependent variable, the adjustment coefficient for the cointegrating vector is negative and significant as the theory predicts. A Granger Block causality test is also conducted, and results indicate that remittances do not Granger cause real GDP and infant mortality rate; however, it is found that infant mortality rate and real GDP per capita Granger cause remittances. Policy implications are discussed.

scholarly journals Child mortality for avoidable causes in Rondônia: temporal series study, 2008-2018

2021 ◽  
Vol 42 ◽  
Author(s):  
Jeanne Lúcia Gadelha Freitas ◽  
Jéssica Cunha Alves ◽  
Priscilla Perez da Silva Pereira ◽  
Kátia Fernanda Alves Moreira ◽  
Edson dos Santos Farias ◽  
...  
Keyword(s):  
Time Series ◽  
Infant Mortality ◽  
Neonatal Period ◽  
Infant Mortality Rate ◽  
Test Results ◽  
Live Births ◽  
Watson Test ◽  
One Year ◽  
Series Study

ABSTRACT Objective To investigate the trend of infant mortality from preventable causes in children under one year of age in Rondônia from 2008 to 2018. Method Epidemiological study of time series with data from the Mortality and Live Birth Information Systems, driven by STATA® version 11.0, trend measured by Prais-Winsten linear regression and autocorrelation with Durbin and Watson test. Results The infant mortality rate was 14.57 deaths / 1,000 live births, 9.14 / 1,000 due to preventable causes. Deaths decreased by 2.88% annually (95% CI: - 4.67; -1.06). However, causes that can be reduced by running immunization actions, to women during pregnancy and fetal and non-childbirth growth, have stable rates. Deaths from preventable causes in the late neonatal period were declining (-11.69%; 95% CI -19.56; -3.05). Conclusion Managers need to qualify maternal and child care, considering the performance of the team of professionals in assisting the pregnant-puerperal cycle as well as improving the quality of infant mortality records in the region.

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.

Measuring Effectiveness Of Economic Growth On Reducing Infant Mortality Rate In Tamilnadu

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Relationship ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Per Capita ◽  
The Impact ◽  
Adf Test ◽  
Bound Test

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.

scholarly journals Infant mortality: comparison between two birth cohorts from Southeast and Northeast, Brazil

2004 ◽  
Vol 38 (6) ◽  
pp. 773-779 ◽  
Author(s):  
Valdinar S Ribeiro ◽  
Antônio A M Silva ◽  
Marco A Barbieri ◽  
Heloisa Bettiol ◽  
Vânia M F Aragão ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Protective Factor ◽  
Infant Mortality Rate ◽  
Northeast Brazil ◽  
Birth Cohorts ◽  
Neonatal Mortality Rate ◽  
Live Births

OBJECTIVE: To obtain population estimates and profile risk factors for infant mortality in two birth cohorts and compare them among cities of different regions in Brazil. METHODS: In Ribeirão Preto, southeast Brazil, infant mortality was determined in a third of hospital live births (2,846 singleton deliveries) in 1994. In São Luís, northeast Brazil, data were obtained using systematic sampling of births stratified by maternity unit (2,443 singleton deliveries) in 1997-1998. Mothers answered standardized questionnaires shortly after delivery and information on infant deaths was retrieved from hospitals, registries and the States Health Secretarys' Office. The relative risk (RR) was estimated by Poisson regression. RESULTS: In São Luís, the infant mortality rate was 26.6/1,000 live births, the neonatal mortality rate was 18.4/1,000 and the post-neonatal mortality rate was 8.2/1,000, all higher than those observed in Ribeirão Preto (16.9, 10.9 and 6.0 per 1,000, respectively). Adjusted analysis revealed that previous stillbirths (RR=3.67 vs 4.13) and maternal age <18 years (RR=2.62 vs 2.59) were risk factors for infant mortality in the two cities. Inadequate prenatal care (RR=2.00) and male sex (RR=1.79) were risk factors in São Luís only, and a dwelling with 5 or more residents was a protective factor (RR=0.53). In Ribeirão Preto, maternal smoking was associated with infant mortality (RR=2.64). CONCLUSIONS: In addition to socioeconomic inequalities, differences in access to and quality of medical care between cities had an impact on infant mortality rates.

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