Mapping 123 million neonatal, infant and child deaths between 2000 and 2017
Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.
Regional variation of all features of mortality is quite significant. Being noted for many decades The North-Ost gradient of increased mortality rate continues its trend. In a time despite essential regional variation of mortality the difference in the orientation of its dynamic is not significant at all. An important condition for development of measures to ensure a decrease of mortality rate is information on social and demographic factors.
BACKGROUND The long-term historical decline in infant mortality has been accompanied by increasing concentration of infant deaths at the earliest stages of infancy. In the mid-1960s Coale and Demeny developed formulas describing the dependency of the average age of death in infancy on the level of infant mortality, based on data obtained up to that time. OBJECTIVE In the more developed countries a steady rise in average age of infant death began in the mid-1960s. This paper documents this phenomenon and offers alternative formulas for calculation of the average age of death, taking into account the new mortality trends. METHODS Standard statistical methodologies and a specially developed method are applied to the linked individual birth and infant death datasets available from the US National Center for Health Statistics and the initial (raw) numbers of deaths from the Human Mortality Database. RESULTS It is demonstrated that the trend of decline in the average age of infant death becomes interrupted when the infant mortality rate attains a level around 10 per 1000, and modifications of the Coale-Demeny formulas for practical application to contemporary low levels of mortality are offered.
vCONCLUSIONS The average age of death in infancy is an important characteristic of infant mortality, although it does not influence the magnitude of life expectancy. That the increase in average age of death in infancy is connected with medical advances is proposed as a possible explanation.
The book «Population development and population policy» (series «Population studies») is dedicated to the famous Russian demographer, Dr. Sc. (Economics), MSU emeritus professor A.Y. Kvasha. The authors are colleagues and students of A.Y. Kvasha. The first part includes biography of A.Y. Kvasha, list of his main scientific papers and PhD theses carried out under his supervision. The second part is devoted to reminiscences of his disciples and colleagues. The third part contains articles – their themes are associated with A.Y. Kvasha: demographic analysis and projections, population policy, economic, social and military demography. For researchers, post-doctoral fellows, students and anyone interested in population problems
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.