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This study aimed to determine how excess mortality rates due to the Covid-19 pandemic have changed in high- and middle-income countries. It is examined that the partial relationship between the excess mortality rate and its economical and political factors. Several variables are controlled when the economical and political factors are observed. The sample occurs with the annual excess mortality rates in 99 countries (63 high-income and 36 middle-income economies) between April 2020 and April 2021. The period began when the mainland officially announced an all-cause mortality rate of 10. Two different models are examined with the Weighted Least Squares (WLS) Estimation Method. As a result, it is found that the interest variable, GDP per capita PPP, has a significant effect on the dependent variable, excess mortality rate p - score. While mobility trends for grocery and pharmacy stores, Government Stringency Index, Hospital beds rate, Population age ratio (+65 age), and Young age dependency ratio are statistically significant in one of the Models, they are insignificant in the other Model. On the other hand, there is no significant effect of the urban population, income support, and mobility trends for retail and recreation areas on the excess mortality rate. Geographical location, as continental dummies, is significant only with reference continents, Asia, and North America.

Covid-19 --- Excess mortality --- GDP per capita --- Sciences économiques & de gestion > Domaines particuliers de l'économie (santé, travail, transport...)

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Latin America and the Caribbean suffered the largest death toll from Covid?19 across developing regions and the sharpest decline in economic activity. With fewer school days and lower employment rates, with higher public debt and more firms under stress, the effects could be long?lasting. The crisis also triggered large?scale economic restructuring, with productivity higher in the expanding than in the contracting sectors. Accelerated digitization could instill dynamism in finance, trade and labor markets, but it may amplify inequality within and across the countries in the region. Technology could transform the energy sector as well. Latin America and the Caribbean has the cleanest and potentially cheapest electricity generation matrix of all developing regions. But its electricity is the most expensive, due mainly to inefficiencies. Distributed generation within countries and electricity trade across countries, could make energy greener and cheaper, provided that the pricing is right.

COVID-19 --- Crisis --- Digitization --- Economic Growth --- Elasticity --- Electricity --- Excess Mortality --- Growth --- Labor Income Inequality --- Latin America --- Renewable Energy --- Structural Transformation --- Unemployment

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The authors use data from the National Family Health Survey 2005 to present age-specific patterns of child mortality among India's tribal (Adivasi) population. The analysis shows three clear findings. First, a disproportionately high number of child deaths are concentrated among Adivasis, especially in the 1-5 age group and in those states and districts where there is a high concentration of Adivasis. Any effort to reduce child morality in the aggregate will have to focus more squarely on lowering mortality among the Adivasis. Second, the gap in mortality between Adivasi children and the rest really appears after the age of one. In fact, before the age of one, tribal children face more or less similar odds of dying as other children. However, these odds significantly reverse later. This calls for a shift in attention from infant mortality or in general under-five mortality to factors that cause a wedge between tribal children and the rest between the ages of one and five. Third, the analysis goes contrary to the conventional narrative of poverty being the primary factor driving differences between mortality outcomes. Instead, the authors find that breaking down child mortality by age leads to a much more refined picture. Tribal status is significant even after controlling for wealth.

Adolescent Health --- Age at marriage --- Child health --- Child mortality --- Child survival --- Declines in mortality --- Early Child and Children's Health --- Early Childhood Development --- Education --- Excess mortality --- Family health --- Fertility --- Food security --- Gender relations --- Health --- Health Monitoring & Evaluation --- Human development --- Infant --- Infant mortality --- Levels of mortality --- Millennium development goal --- Nutrition and Population --- Participation of women --- Policy research --- Policy research working paper --- Population Policies --- Progress --- Rural areas

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Mortality --- Medical geography --- Diseases --- Europe --- Mortality. --- 614 --- Age Specific Death Rate --- Age-Specific Death Rate --- Case Fatality Rate --- Decline, Mortality --- Determinants, Mortality --- Differential Mortality --- Excess Mortality --- Mortality Decline --- Mortality Determinants --- Mortality Rate --- Mortality, Differential --- Mortality, Excess --- Death Rate --- Age-Specific Death Rates --- Case Fatality Rates --- Death Rate, Age-Specific --- Death Rates --- Death Rates, Age-Specific --- Declines, Mortality --- Determinant, Mortality --- Differential Mortalities --- Excess Mortalities --- Mortalities --- Mortalities, Differential --- Mortalities, Excess --- Mortality Declines --- Mortality Determinant --- Mortality Rates --- Rate, Age-Specific Death --- Rate, Case Fatality --- Rate, Death --- Rate, Mortality --- Rates, Age-Specific Death --- Rates, Case Fatality --- Rates, Death --- Rates, Mortality --- Disease --- Openbare gezondheidszorg--(zie ook {351.84}) --- mortality --- Europe. --- Northern Europe --- Southern Europe --- Western Europe --- CFR Case Fatality Rate --- Crude Death Rate --- Crude Mortality Rate --- Crude Death Rates --- Crude Mortality Rates --- Death Rate, Crude --- Mortality Rate, Crude --- Rate, Crude Death --- Rate, Crude Mortality

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Sociology of health --- Demography --- United States --- Diseases --- Mortality --- Statistics --- Mortality. --- Morbidity. --- -Mortality --- -Mortality, Law of --- Death --- Death (Biology) --- Human beings --- Illness --- Illnesses --- Morbidity --- Sickness --- Sicknesses --- Medicine --- Epidemiology --- Health --- Pathology --- Sick --- Morbidities --- Age Specific Death Rate --- Age-Specific Death Rate --- Case Fatality Rate --- Decline, Mortality --- Determinants, Mortality --- Differential Mortality --- Excess Mortality --- Mortality Decline --- Mortality Determinants --- Mortality Rate --- Mortality, Differential --- Mortality, Excess --- Death Rate --- Age-Specific Death Rates --- Case Fatality Rates --- Death Rate, Age-Specific --- Death Rates --- Death Rates, Age-Specific --- Declines, Mortality --- Determinant, Mortality --- Differential Mortalities --- Excess Mortalities --- Mortalities --- Mortalities, Differential --- Mortalities, Excess --- Mortality Declines --- Mortality Determinant --- Mortality Rates --- Rate, Age-Specific Death --- Rate, Case Fatality --- Rate, Death --- Rate, Mortality --- Rates, Age-Specific Death --- Rates, Case Fatality --- Rates, Death --- Rates, Mortality --- Disease --- mortality --- United States. --- Statistics, Medical. --- Statistics, Vital. --- -Statistics --- CFR Case Fatality Rate --- Crude Death Rate --- Crude Mortality Rate --- Crude Death Rates --- Crude Mortality Rates --- Death Rate, Crude --- Mortality Rate, Crude --- Rate, Crude Death --- Rate, Crude Mortality --- Diseases - United States - Statistics --- Mortality - United States --- United States - Statistics, Medical --- United States - Statistics, Vital --- United States of America