scholarly journals Ecuadorian infant mortality linked to socioeconomic factors during the last 30 years

2019 ◽  
Vol 19 (2) ◽  
pp. 295-301
Author(s):  
Natalia Romero-Sandoval ◽  
Diego Del Alcázar ◽  
Jacob Pastor ◽  
Miguel Martín

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.

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER

                   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.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Mercy. T. Musakwa ◽  
N. M. Odhiambo

AbstractThe growing pressure on governments to reduce poverty among other Sustainable Development Goals (SDGs) through harnessing domestic and foreign sources has motivated studies on the relationship between poverty and different economic variables in many developing countries. This study investigates the impact of remittance on poverty in Botswana, employing time-series data from 1980 to 2017. The study employs two poverty proxies—household consumption expenditure and infant mortality rate to capture poverty in its multidimensional form and improve the robustness of the results. Using the autoregressive distributed lag (ARDL) approach, the study finds that remittance inflows reduce poverty in Botswana—both in the short run and in the long run when infant mortality rate is used as a proxy. However, when poverty is measured by household consumption expenditure, remittance was found to have no impact on poverty in the short run and in the long run. The study, therefore, concludes that remittance inflows play a crucial role in reducing poverty and that Botswana can benefit immensely from the surge in remittance inflows by putting in place policies and structures that support remittance inflow.


SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402098331
Author(s):  
Mercy. T. Musakwa ◽  
N. M. Odhiambo

In this study, we investigate the impact of remittance inflows on poverty reduction in South Africa, using time series data from 1980 to 2017. The main objective of this study is to establish whether South Africa can harness remittance inflows to alleviate poverty. Two poverty proxies, namely household consumption expenditure and infant mortality rate, are used in this study. To ensure robustness of the results, both income and non-income proxies of poverty are employed. Using the autoregressive distributed lag (ARDL) bounds approach, the study found that remittance has a negative impact on poverty in the short run and in the long run when household consumption expenditure is used as a proxy for poverty. However, when the infant mortality rate is used as a proxy, remittance is found to have no impact on poverty. It can be concluded that the impact of remittance on poverty is sensitive to the proxy used. The study concludes that South Africa could benefit immensely from some forms of remittances in its quest to poverty alleviation.


2021 ◽  
Vol 21 (1) ◽  
pp. 48-59
Author(s):  
Rafiu Ayobanji Mustapha ◽  
Saidat Oluwatoyin Onikosi-Alliyu ◽  
Abdurrouf Babalola

Abstract Research background: Health outcome such as infant mortality rate is an important measure of the standard of living. It is a part of Millennium Development Goals, which all countries of the World strive to achieve, by allocating enormous economic resources to the health sector respectively. Purpose: The study assessed the impact of government expenditure on health and on health outcome (infant mortality rate) in the West Africa Sub-region. Research methodology: Secondary data were collected from 2000 to 2015 on thirteen countries in the Sub-region. Owing to the fact that the nature of the data involved is macro-panel data, the study performed the pre-estimation test (such as panel unit-root test and co-integration test) to ascertain the time series properties of the series. Based on the results of the pre-estimation tests, the work employed the fully modified ordinary least square (FMOLS). Results: It is found in the study that public health spending has an indirect impact on infant mortality rate in the West Africa Sub-region. Novelty: No extant study examined the impact of public expenditure on health and on maternal mortality rate using the West Africa Sub-region as an area of coverage. This study employed a fully modified OLS (FMOLS) to assess the impact of public expenditure on health and on infant mortality rate in the West Africa Sub-region.


1981 ◽  
Vol 30 (4) ◽  
pp. 281-284 ◽  
Author(s):  
Yoko Imaizumi ◽  
Eiji Inouye ◽  
Akio Asaka

The rate of infant mortality of triplet individuals (deaths under one year of age) was computed using 34 sets of triplets born in the first half of 1974. The rates were 8.82%, 9.68%, and 10.34% for the first-, second-, and the third-born triplets, respectively. For males and females the rates were 8.33% and 10.34%, respectively, and the difference was not significant. The rate decreased with gestational age up to 32-35 weeks. For those with heavier weight at birth (≤2,000 g) the rate was lower (0%) than for those with lighter weight (<2,000 g, 8.16%), but the difference is not significant (P = 0.087). Infant mortality rate of triplets decreased with increased monthly expenditure of the household.


2016 ◽  
Vol 32 (1) ◽  
pp. 194
Author(s):  
Nusar Hajarisman ◽  
Yayat Karyana

In geographic modeling, global models such as ordinary linear regression (OLR) model theoretically it provides quite reliable local information if there is not any spatial diversity by region. In other words, OLR model cannot describe the relations between variables in heterogeneous difference of each region. This study will consider a model that will be used to estimate or predict the infant mortality rate in the several regencies / cities in West Java Province. Because the response variable observed in this study is count data which is assumed Poisson distributed, geographically weighted Poisson regression model (GWPR) is used. A better model is used to analyze the data of infant deaths in each regency / city in West Java based on the AIC value, GWPR model has the smallest value (compared to Poisson regression model), in which there is an interesting and important difference from each regency/city about the factors that significantly influence the Infant Mortality rate in each region.


2019 ◽  
Vol 6 (1) ◽  
pp. 32-37
Author(s):  
Tri Budi Rahayu

Background : High maternal mortality rate is a problem and a concern for all countries due to the impact effect on the economy, politics and policy development. As one of the efforts to reduce maternal mortality and infant mortality rate in Indonesia, KIA book as means of integration of maternal and child health services. Lack of knowledge of pregnant women about the KIA books utilization can increase the risk of maternal and infant mortality. Objective : This study aimed to determine the level of knowledge about the utilization of KIA book in pregnant women. Methods : This research was descriptive quantitative with cross sectional data collection. Univariat analysis was used for the data analysis. The sampling technique was total sampling with the number of 48 pregnant women. Results : The result of univariate analysis showed that 65% pregnant women had enough knowledge about the utilization of KIA book. Conclusion : The level of knowledge about the utilization of KIA book is categorized into enough category. Keywords : Knowledge, KIA book


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