scholarly journals Is there association between human development index and tuberculosis mortality risk? Evidence from a spatial analysis study in the south of Brazil

2018 ◽  
Vol 146 (14) ◽  
pp. 1763-1770 ◽  
Author(s):  
D. T. Santos ◽  
C. Nunes ◽  
L. S. Alves ◽  
A. A. R. Queiroz ◽  
M. J. Miranda ◽  
...  

AbstractThe goal of this study was to analyse the spatial pattern of tuberculosis (TB) mortality using different approaches, namely: mortality rates (MR), spatial relative risks (RR) and Bayesian rates (Global and Local) and their association with human development index (HDI), Global and its three dimensions: education, longevity and income. An ecological study was developed in Curitiba, Brazil based on data from Mortality Information System (2008–2014). Spatial scan statistics were used to compute RR and identify high-risk clusters. Bivariate Local Indicator of Spatial Associations was used to assess associations. MR ranged between 0 and 25.24/100.000 with a mean (standard deviation) of 1.07 (2.66). Corresponding values for spatial RR were 0–27.46, 1.2 (2.99) and for Bayesian rates (Global and Local) were 0.49–1.66, 0.90 (0.19) and 0–6.59, 0.98 (0.80). High-risk clusters were identified for all variables, except for HDI-income and Global Bayesian rate. Significant negative spatial relations were found between MR and income; between RR and HDI global, longevity and income; and Bayesian rates with all variables. Some areas presented different patterns: low social development/low risk and high risk/high development. These results demonstrate that social development variables should be considered, in mortality due TB.

2020 ◽  
Vol 32 (2) ◽  
pp. 765
Author(s):  
Vanesa Jordá ◽  
Carmen Trueba ◽  
José María Sarabia

In this work we contribute to the study of well-being inequality conceived as a multidimensional process, analyzing inequality across countries in terms of the Human Development Index (HDI). To that end, we consider two alternative approaches based on the use of generalized entropy measures. Our results point out a reduction of inequality in the three dimensions considered by the HDI as well as in composite indicators of these components over the period 1980-2011. The decomposition of this type of inequality measures in two components, between-regions and within- regions, reveals that the fall of overall disparities is mainly driven by the decrease in inequality between regions.


2013 ◽  
Vol 3 (2) ◽  
Author(s):  
Soni Ahmad Nulhaqim ◽  
M D Kamrujjaman

The Human Development Index (HDI) is a development indicator since 1990, operated by theUnited Nations Development Programme. Our entitled “Comparative Study on HumanDevelopment Index (HDI): Indonesia and Bangladesh Context” paper will focus oncomparison of both countries situation. In common scenes Indonesia is in advance thanBangladesh but what is the real situation are exist in both countries will be explained by ourstudy. Here we will compare series data (1980-2011) & its trends, value comparison (2011-2012), of two countries. In this paper we have analysis following segments of two countriesnamed Inequality-adjusted HDI(IHDI), Gender Inequality Index (GII), Multidimensional PovertyIndex (MPI) and Cross-Analysis of Indonesia & Bangladesh related to others relevant data like:Demographic Situation, Education Condition, Health Situation, Gender Observation etc. In ourpaper we have used New method for 2011 data onwards that Published on 4 November 2010(and updated on 10 June 2011), starting with the 2011 Human Development Report the HDIcombines three dimensions: A long and healthy life: Life expectancy at birth, Education index:Mean years of schooling and Expected years of schooling, A decent standard of living: GNI percapita (PPP US$). Hopefully this paper will give us a clear idea about two countries currentsocio-economic condition as well.


2019 ◽  
Vol 11 (1) ◽  
pp. 29-42
Author(s):  
Indri Arrafi Juliannisa ◽  
Tri Siswantini

To measure the quality of human capital, The United Nations Development Program (UNDP) introduced the concept of human resource capital quality, named the Human Development Index (HDI). HDI is based on three dimensions i.e.: life expectancy at birth, literacy rate, mean years of schooling, and purchasing power parity. In this study raised the issue of the high illiteracy rate in Cibadak, Banten Province and the low expectation for old school. The situation will certainly be a barrier to the development process and economic growth through the human development index. The results showed that factors that could cause low educational status and illiteracy were grouped by researchers in research indicator variables, namely education, family, external environment, and information factors. The local government must pay more attention to this situation, because human resources are the driving wheel of the economy. The people really need care like reading and writing training assistance from the local government.


2019 ◽  
Vol 26 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Naresh Kumar ◽  
Ritu Rani

The present study examines the regional disparities in social development in India by using social development index (SDI). The study used census-based data of 2011 including 28 states and seven union territories (UTs) of India. The study ends by ranking of states and UTs on the basis of development index consisting of 12 social indicators. This article also compares selected states on the basis of human development index (1981, 1991 and 2001) and SDI (2011) values. In addition, the study finds district-level SDI and ranks the districts of selected states, that is, Kerala, Haryana and Bihar. The findings of the study confirmed the northern–southern social development divide in India. The empirical findings show that Kerala is the best state among all states in India in terms of social progress. Results of the study confirmed huge disparities at district and states/UTs level in India.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Margo S. Harrison ◽  
Ana Pilar Betrán ◽  
Krithika Suresh ◽  
Joshua P. Vogel ◽  
Robert L. Goldenberg ◽  
...  

Abstract Background To identify risk factors associated with a composite adverse maternal outcomes in women undergoing intrapartum cesarean birth. Methods We used the facility-based, multi-country, cross-sectional WHO Global Survey of Maternal and Perinatal Health (2004–2008) to examine associations between woman-, labor/obstetric-, and facility-level characteristics and a composite adverse maternal outcome of postpartum morbidity and mortality. This analysis was performed among women who underwent intrapartum cesarean birth during the course of labor. Results We analyzed outcomes of 29,516 women from low- and middle-income countries who underwent intrapartum cesarean birth between the gestational ages of 24 and 43 weeks, 3.5% (1040) of whom experienced the composite adverse maternal outcome. In adjusted analyses, factors associated with a decreased risk of the adverse maternal outcome associated with intrapartum cesarean birth included having four or more antenatal visits (AOR 0.60; 95% CI: 0.43–0.84; p = 0.003), delivering in a medium- or high-human development index country (vs. low-human development index country: AOR 0.07; 95% CI: 0.01–0.85 and AOR 0.02; 95% CI: 0.001–0.39, respectively; p = 0.03), and malpresentation (vs. cephalic: breech AOR 0.52; CI: 0.31–0.87; p = 0.04). Women who were medically high risk (vs. not medically high risk: AOR 1.81; CI: 1.30–2.51, p < 0.0004), had less education (0–6 years) (vs. 13+ years; AOR 1.64; CI: 1.03–2.63; p = 0.01), were obstetrically high risk (vs. not high risk; AOR 3.67; CI: 2.58–5.23; p < 0.0001), or had a maternal or obstetric indication (vs. elective: AOR 4.74; CI: 2.36–9.50; p < 0.0001) had increased odds of the adverse outcome. Conclusion We found reduced adverse maternal outcomes of intrapartum cesarean birth in women with ≥ 4 antenatal visits, those who delivered in a medium or high human development index country, and those with malpresenting fetuses. Maternal adverse outcomes associated with intrapartum cesarean birth were medically and obstetrically high risk women, those with less education, and those with a maternal or obstetric indication for intrapartum cesarean birth.


2016 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
ZAki Mati Aqrawi ◽  
Rebar Fatah Muhammad

quire access to a continuous human development is relying on real development policies, that are based ondealing with the various interconnected aspects of society, through supporting the investment aspects within the potentialof individuals and the fight against poverty and to reduce unemployment, as well as the development of health, educationand income and achieve relative justice in the distribution among population, leading to the development progressaccording to gender equality and the empowerment of citizens, various categories of promising to participate in thecommunity, in addition to the decision-processors to cope the demographic and environmental pressures .Human Development indicate through its traditional index to the level of achievement of the areas that have beenmentioned in although of this index does not indicate conclusively measure of the true levels of human development inall countries accuracy due to the influence of many factors, including differences in regulations, economic conditions,political privacy, and others, so it was necessary to find alternatives, by developing indicators of (AHDI) and index ofinequality and other necessary indicators required to be more realistic, so it was in this research analysis the estimatesof inequality human development index detailed for its three dimensions in Iraq for the years 2012, 2013 and 2014through the introducing of inequality factor in the calculation of these elements, and to assess the inequality humandevelopment index based its equation which is:The results showed the inequality index equal to (0.464 0.579 0.505) depending on the its inequalitydimensions, which were values (0.622 , 0.334 , 0.481) (0.622 , 0.328 , 0.626) (0.727 , 0.559 , 0.477) for each of thehealth, education and income, respectively, for the years mentioned, while the value of the original human developmentor traditional evidence is equal (0.590 , 0.642 , 0.694). This indicates the existence of a difference between the twoindexes which were calculated using the formula:) 105 (This difference is due to the lack of equality between the original and inequality indexes as a result of the lackof full equality in society, as it achieved equal to the indexes at achieving full equality, but in the case of inequality, i tsindex will be less than the original, and this which appeared in this research, that means it compatible with fundamentalstheory and previous studies in this area. Were also analyzed the results of the contrast between the two indexes in theKurdistan Region and analyze comparisons between the values at the level of the region and the center.Based on the findings and conclusions a number of suggestions were putted in order to reach an advanced levelof human development in Iraq, the most important achievement of the overall human security and openness to theoutside world in the presence of a rational policy-based management supported consciously social correlative andcomponents and qualified manpower institutions advanced levels contribute to the comprehensive development, theperformance of human resources and achieve the aspirations of individuals in the community


Author(s):  
Enzo Barberio Mariano ◽  
Diogo Ferraz ◽  
Simone Cristina de Oliveira Gobbo

AbstractThe objective of this work is to use multiple Data Envelopment Analysis (DEA)/Benefit of the Doubt (BoD) approaches for the readjustment and exploitation of the Human Development Index (HDI). The HDI is the leading indicator for the vision of “development as freedom”; it is a Composite Index, wherein three dimensions (income, health, and education), represented by four indicators, are aggregated. The DEA-BoD approaches used in this work were: the traditional BoD; the Multiplicative BoD; the Slacks Based Measure (SBM) BoD; the Range Adjusted Model (RAM) BoD; weight restrictions; common weights; and tiebreaker methods. These approaches were applied to raw and normalized HDI data from 2018, to generate 40 different rankings for 189 countries. The resulting indexes were analyzed and compared using Social Network Analysis (SNA) and information derived from DEA itself (slacks, relative contributions, targets, relative targets and benchmarks). This paper presents useful DEA derived indexes that could be replicated in other contexts. In addition, it contributes by presenting a clearer picture of the differences between BoD models and offering a new way to appreciate the world's human development panorama.


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