While social determinants of health have been perennially linked to child survival in resource-limited countries, the precise and tested pathways to effect are not clearly understood. The objective of this study was therefore to identify the critical pathways as posited a priori in a model through which social factors (at maternal, household, and community levels) determine neonatal, infant, and under-five mortalities in Nigeria. Using a novel analytic approach (hierarchical path modelling for predicting accelerated failure time) to estimate (in)direct and total effects of social determinants of child survival, we analysed 30,960 live births (weighted data for representativeness), obtained from the 2016/2017 Nigeria Multiple Indicator Cluster Survey. There were three outcome variables: time until occurrence of neonatal, infant, and under-five mortalities. The independent variables were layered factors related to child, maternal, household and community. Geographical region, rurality of residence, infrastructural development, maternal education, contraceptive use, marital status, and maternal age at birth were found to operate more indirectly on neonatal, infant, and under-five survival. Child survival is due to direct effects of child’s sex (female), gestational type (singleton), birth spacing (children whose mothers delivered at least two years apart), and maternal age at delivery (20–34 years). According to the path coefficients, the indirect effects of geographical regions are the most influential determinants of child survival, accounting for 30% (neonatal), 37.1% (infant) and 39.9% (under-five) of the total effects. This study offers comprehensive set of factors, and linked pathways, at the maternal, household, and community levels that are associated with child survival in Nigeria. To accelerate progress towards Sustainable Development Goal targets for child survival and reduce geographical inequities, stakeholders should implement more impactful policies that promote maternal education, contraceptive use and improve living conditions of women (especially in rural areas of northern Nigeria). Future research should focus on identifying the most effective interventions for addressing these social determinants of child survival in Nigeria.

This paper takes, as its starting point, Preston and Haines’ observation in Fatal Years that social class was the most important influence on infant and child mortality in England and Wales in the early twentieth century. A subsequent study suggested that this could in part be due to the spatial distribution of the different classes across different types of place, and that some of the mortality differences by social class might actually reflect the contextual effects of healthy and unhealthy places. Although this line of argument has received a considerable amount of attention in health geography literature, it has rarely been examined for a specific historic period, and then only within particular urban areas. In this paper, we apply multi-level models to a complete count individual-level dataset of the 1911 census of England and Wales, comparing influences on infant and child mortality at the level of the individual couple and for two spatial levels. We find that although most variation in infant and child mortality operates at the individual level, there is also important variation at the two spatial levels and part of the mortality differences between social classes is better explained by the areas in which people lived rather than by their social class. A consideration of independent variables at all three levels suggests that different spatial scales capture different sorts of influences on early age mortality.

This paper documents changes in infant mortality (IM) rates in São Paulo, Brazil, between 2003 and 2013 and examines the association among neighborhood characteristics and IM. We investigate the extent to which increased use of health care services and improvements in economic and social conditions are associated with reductions in IM. Using data from the Brazilian Census and the São Paulo Secretaria Municipal da Saúde/SMS, we conducted a longitudinal analysis of panel data in all 96 districts of São Paulo for every year between 2003 and 2013. Our regression model includes district level measures that reflect economic, health care and social determinants of IM. We find that investments in health care have contributed to lower IM rates in the city, but the direct effect of increased spending is most evident for people living in São Paulo's middle- and high-income neighborhoods. Improvements in social conditions were more strongly associated with IM declines than increases in the use of health care among São Paulo's low-income neighborhoods. To reduce health inequalities, policies should target benefits to lower-income neighborhoods. Subsequent research should document the consequences of recent changes in Brazil's economic capacity and commitment to public health spending for population health.

This study aimed to assess the changes in neonatal and infant mortality rates in Nigeria over the period 1990 to 2018 using Nigerian Demographic and Health Survey (NDHS) data, and assess their socio-demographic determinants using data from the most recent survey conducted in 2018. The infant mortality rate was 87 per 1000 live births in 1990, and this increased to 100 per 1000 live births in 2003 – an increase of around 15% over 13 years. Neonatal and infant mortality rates started to decline steadily thereafter and continued to do so until 2013. After 2013, neonatal morality rose slightly by the year 2018. Information for 27,465 infants under 1 year of age from the NDHS-2018 was analysed using bivariate and multivariate analysis and the Cox proportional hazard technique. In 2018, infant deaths decreased as wealth increased, and the incidence of infant deaths was greater among those of Islam religion than among those of other religions. A negative association was found between infant deaths and the size of a child at birth. Infant mortality was higher in rural than in urban areas, and was higher among male than female children. Both neonatal and infant death rates varied by region and were found to be highest in the North West region and lowest in the South region. An increasing trend was observed in neonatal mortality in the 5-year period from 2013 to 2018. Policy interventions should be focused on the poor classes, women with a birth interval of less than 2 years and those living in the North West region of the country.

Access to quality healthcare varies across the national territory inside Latin American countries, with some subnational units enjoying higher-quality care than others. Such territorial inequality is consequential, as residents of particular regions face shorter life spans and an increased risk of preventable disease. This article analyzes trajectories of territorial healthcare inequality across time in Argentina, Brazil, and Mexico. The data reveal a large decline in Brazil, a moderate decline in Mexico, and low levels of change followed by a moderate decline in Argentina. The article argues that two factors account for these distinct trajectories: the nature of the coalition that pushed health decentralization forward and the existence of mechanisms for central government oversight and management.

Using vital statistics in Japan (1995–2008), 154,578 live-born twin pairs (128,236 monozygotic [MZ] and 180,920 dizygotic [DZ]) were identified. The proportion of severe discordance among live-born twin births was twice as high in Japanese than Caucasian infants. There were 1858 MZ and 1620 DZ infant deaths. Computation of the relationship between infant mortality rate and birth weight discordance among the twins was performed. Discordance levels were classified into seven groups: <5%, five groups from 5–9% to 25–29%, and ≥30%.The mortality rate was significantly higher in MZ than DZ twins for discordances except at 5–9% and 10–14%. The lowest rate for MZ twins was at 5–9% (7.5 per 1000 live twins) and significantly increased from 10–14% (9.4) to ≥30% (83.4), while the lowest rate for DZ twins was at <5% (6.7), which significantly increased at 10–14% (8.0) and from 25–29% (12.1) to ≥30% (35.5). The relationship was also computed in two gestational age groups (<28 and ≥28 weeks). For births at <28 weeks, three discordances (after 20–24%) in MZ twins were associated with adverse mortality rate. For births at ≥28 weeks, the same relationship was obtained after 10–14% in MZ and after 20–24% in DZ twins. The relationship from 2002 to 2008 showed that the mortality rates significantly increased after 10–14% for both types of twins. In conclusion, five discordance levels in MZ and three levels in DZ twins were associated with adverse mortality rates.

Evidence on the impact of the quality of prenatal care on childhood mortality is limited in developing countries, including India. Therefore, using nationally representative data from the latest round of the National Family Health Survey (2015–16), this study examined the impact of the quality of prenatal care on neonatal and infant mortality in India using a multivariable binary logistic regression model. The effect of the essential components of prenatal care services on neonatal and infant mortality were also investigated. The results indicate that improvement in the quality of prenatal care is associated with a decrease in neonatal (OR: 0.93, 95% CI: 0.91–0.97) and infant (OR: 0.94, 95% CI: 0.92–0.96) mortality in India. Tetanus toxoid vaccination, consumption of iron–folic acid tablets during pregnancy and having been weighed during pregnancy were statistically associated with a lower risk of neonatal and infant mortality. Educating women on pregnancy complications was also associated with a lower risk of neonatal mortality. No effect of blood pressure examination, blood test and examination of the abdomen during pregnancy were found on either of the two indicators of childhood mortality. Although the coverage of prenatal care has increased dramatically in India, the quality of prenatal care is still an area of concern. There is therefore a need to ensure high-quality prenatal care in India.

Do neoliberal economic policies help or hinder human development? Many have argued that such policies promote economic stability and growth, which may have indirect positive effects on human welfare. Others claim that neoliberal policies retard human development. We argue that neoliberal economic policies may improve the human welfare in ways that are independent of their effects on economic performance. Specifically, this paper hypothesizes that open international trade policies, low-inflation macroeconomic environments, and market-oriented property rights regimes promote human development across the world. We test this argument by examining the impact of several measures of neoliberal policies on infant mortality rates across the world between 1960 and 1999. Results suggest that openness to imports, long-term membership in the GATT and WTO, low rates of inflation, and effective contract enforcement are each associated with lower rates of infant mortality across the world, even when controlling for countries' economic performance.

How does democratic politics affect infant mortality? The bulk of existing research has debated whether democracies have lower levels of infant mortality than non-democracies. Yet, infant mortality varies as much within countries as it does between countries, suggesting that the political processes affecting infant mortality operate at the subnational level. To shed new light on the debate, this paper examines how three core democratic attributes affect infant mortality within a single democracy: India. I argue that higher levels of political representation, citizens’ participation, and electoral competition provide political incentives for elected representatives to reduce infant mortality. The theory is tested on a times-series data set from 15 major Indian states between 1980 and 2011. Overall, the results demonstrate the significance of democratic politics, particularly political representation, in influencing infant mortality.