scholarly journals The Link between Poverty and COVID-19 Case and Mortality Rates in Germany

2020 ◽  
Author(s):  
Felix Ettensperger
Keyword(s):  
Job Training ◽  
Mortality Rates ◽  
District Level ◽  
Multilevel Regression ◽  
Statistical Effect ◽  
Processing Plants ◽  
Training Variable ◽  
Urban Rural ◽  
Per Capita ◽  
The Uk

The effects of poverty on the case and mortality rates of Covid-19 has emerged as a controversial but understudied topic. In previous studies and reports from the UK and US evidence emerged that poverty related indicators had a significant statistical effect on case and mortality rates on district level. For Germany, it has largely been assumed that poverty is an equally relevant factor influencing the transmission rates of the outbreak mostly due to anecdotal evidence from local outbreaks in meat processing plants and reported incidents in poorer city districts. This paper addresses the lack of statistical evidence and investigates thoroughly the link between poverty related indicators and case and mortality rates of the outbreak using multivariate, multilevel regression while also considering the urban-rural divide of the country. As proxies for poverty the unemployment rate, the per capita presence of general practitioners (physicians), per capita GDP, and the rate of employees with no professional job training is evaluated in relation to the accumulated case and mortality numbers on district level taken from RKI data of June and July 2020. Interestingly, the study finds no evidence for a poverty-related effect on mortality for German districts. Furthermore, only employment in low qualification jobs approximated by the job training variable consistently affected case numbers in urban districts in the expected direction.

The Relationship Between Poverty and COVID-19 Infection and Case-Fatality Rates in Germany during the First Wave of the Pandemic

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Felix Ettensperger
Keyword(s):  
Job Training ◽  
Case Fatality ◽  
Mortality Rates ◽  
District Level ◽  
Multilevel Regression ◽  
Processing Plants ◽  
Training Variable ◽  
Per Capita ◽  
The Uk ◽  
The Relationship

Abstract The relationship between poverty and the infection and case-fatality rates of COVID-19 has emerged as a controversial but understudied topic. In previous studies and reports from the UK and US evidence emerged that poverty-related indicators had a significant statistical effect on case and mortality rates on district level. For Germany, it has largely been assumed that poverty is an equally relevant factor influencing the transmission rates of the outbreak. This was mostly due to anecdotal evidence from local outbreaks in meat processing plants and reported incidents of infection clusters in poorer city districts. This paper addresses the lack of statistical evidence and investigates thoroughly the link between poverty-related indicators and detected infection and mortality rates of the outbreak using multivariate, multilevel regression while also considering the urban-rural divide of the country. As proxies for poverty the unemployment rate, the per capita presence of general practitioners (physicians), per capita GDP, and the rate of employees with no professional job training is evaluated in relation to the accumulated case and mortality numbers on district level taken from RKI data of June and July 2020. Interestingly, the study finds no general evidence for a poverty-related effect on mortality for German districts during the first wave in the first half of 2020. Furthermore, only employment in low qualification jobs approximated by the job training variable consistently affected case numbers in urban districts in the expected direction.

A Successful Population Policy: Potentials and Constraints (Distinguishedl Lecture)

1993 ◽  
Vol 32 (4I) ◽  
pp. 411-431
Author(s):  
Hans-Rimbert Hemmer
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Population Growth ◽  
Capita Income ◽  
Population Policy ◽  
Mortality Rates ◽  
Per Capita Income ◽  
Access To Health Services ◽  
Industrial Countries ◽  
Per Capita

The current rapid population growth in many developing countries is the result of an historical process in the course of which mortality rates have fallen significantly but birthrates have remained constant or fallen only slightly. Whereas, in industrial countries, the drop in mortality rates, triggered by improvements in nutrition and progress in medicine and hygiene, was a reaction to economic development, which ensured that despite the concomitant growth in population no economic difficulties arose (the gross national product (GNP) grew faster than the population so that per capita income (PCI) continued to rise), the drop in mortality rates to be observed in developing countries over the last 60 years has been the result of exogenous influences: to a large degree the developing countries have imported the advances made in industrial countries in the fields of medicine and hygiene. Thus, the drop in mortality rates has not been the product of economic development; rather, it has occurred in isolation from it, thereby leading to a rise in population unaccompanied by economic growth. Growth in GNP has not kept pace with population growth: as a result, per capita income in many developing countries has stagnated or fallen. Mortality rates in developing countries are still higher than those in industrial countries, but the gap is closing appreciably. Ultimately, this gap is not due to differences in medical or hygienic know-how but to economic bottlenecks (e.g. malnutrition, access to health services)

scholarly journals Health capabilities and the determinants of infant mortality in Brazil, 2004–2015: an innovative methodological framework

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandre Bugelli ◽  
Roxane Borgès Da Silva ◽  
Ladislau Dowbor ◽  
Claude Sicotte
Keyword(s):  
Infant Mortality ◽  
Educational Attainment ◽  
Health Professionals ◽  
Capita Income ◽  
Mortality Rates ◽  
Fertility Rate ◽  
Employment Rate ◽  
Infant Deaths ◽  
Bolsa Familia ◽  
Per Capita

Abstract Background Despite the implementation of a set of social and health policies, Brazil has experienced a slowdown in the decline of infant mortality, regional disparities and persistent high death levels, raising questions about the determinants of infant mortality after the implementation of these policies. The objective of this article is to propose a methodological approach aiming at identifying the determinants of infant mortality in Brazil after the implementation of those policies. Method A series of multilevel panel data with fixed effect nested within-clusters were conducted supported by the concept of health capabilities based on data from 26 Brazilian states between 2004 and 2015. The dependent variables were the neonatal, the infant and the under-five mortality rates. The independent variables were the employment rate, per capita income, Bolsa Família Program coverage, the fertility rate, educational attainment, the number of live births by prenatal visits, the number of health professionals per thousand inhabitants, and the access to water supply and sewage services. We also used different time lags of employment rate to identify the impact of employment on the infant mortality rates over time, and household income stratified by minimum wages to analyze their effects on these rates. Results The results showed that in addition to variables associated with infant mortality in previous studies, such as Bolsa Família Program, per capita income and fertility rate, other factors affect child mortality. Educational attainment, quality of prenatal care and access to health professionals are also elements impacting infant deaths. The results also identified an association between employment rate and different infant mortality rates, with employment impacting neonatal mortality up to 3 years and that a family income below 2 minimum wages increases the odds of infant deaths. Conclusion The results proved that the methodology proposed allowed the use of variables based on aggregated data that could hardly be used by other methodologies.

scholarly journals Summary of the Available Molecular Methods for Detection of SARS-CoV-2 during the Ongoing Pandemic

2021 ◽  
Vol 22 (3) ◽  
pp. 1298
Author(s):  
Fabio Arena ◽  
Simona Pollini ◽  
Gian Maria Rossolini ◽  
Maurizio Margaglione
Keyword(s):  
Genetic Variability ◽  
Viral Genome ◽  
Molecular Detection ◽  
In Silico Analysis ◽  
Laboratory Diagnosis ◽  
Mortality Rates ◽  
Genomic Evolution ◽  
Review Of The Literature ◽  
The Uk ◽  
Silico Analysis

Since early 2020, the COVID-19 pandemic has caused an excess in morbidity and mortality rates worldwide. Containment strategies rely firstly on rapid and sensitive laboratory diagnosis, with molecular detection of the viral genome in respiratory samples being the gold standard. The reliability of diagnostic protocols could be affected by SARS-CoV-2 genetic variability. In fact, mutations occurring during SARS-CoV-2 genomic evolution can involve the regions targeted by the diagnostic probes. Following a review of the literature and an in silico analysis of the most recently described virus variants (including the UK B 1.1.7 and the South Africa 501Y.V2 variants), we conclude that the described genetic variability should have minimal or no effect on the sensitivity of existing diagnostic protocols for SARS-CoV-2 genome detection. However, given the continuous emergence of new variants, the situation should be monitored in the future, and protocols including multiple targets should be preferred.

Transfer-based decentralisation, economic growth and spatial inequality: Evidence from China’s 2002–2003 tax sharing reform

Urban Studies ◽  
2019 ◽  
Vol 57 (4) ◽  
pp. 806-826
Author(s):  
Fan Fan ◽  
Ming Li ◽  
Ran Tao ◽  
Dali Yang
Keyword(s):  
Economic Growth ◽  
Local Governments ◽  
Central Government ◽  
Value Added ◽  
Spatial Inequality ◽  
Variable Approach ◽  
Interregional Inequality ◽  
Urban Rural ◽  
Per Capita ◽  
Tax Sharing

China has adopted a transfer-based fiscal decentralisation scheme since the mid-1990s. In the 1994 tax sharing reform, the central government significantly raised its share of government revenue vis-à-vis local governments by taking most of the newly created value-added tax on manufacturing. One aim for the adoption of the transfer-based fiscal scheme was to channel more funds to less developed regions and rural areas, and to alleviate growing interregional inequality and urban–rural income disparity. In 2002 and 2003 the Chinese central government further grabbed 50% and 60%, respectively, of the income taxes previously assigned only to local governments while providing more fiscal transfers to the country’s poor regions and the countryside. Utilising the 2002–2003 change in China’s central–local tax sharing regime as an exogenous policy shock, we employ a Simulated Instrumental Variable approach to causally evaluate the effects of the policy shock on growth, interregional inequality and urban–rural disparity. We find the lower local tax share dis-incentivised local governments and led to lower growth. Although higher central transfers helped to reduce interregional inequalities in per capita GDP and per capita income, the equalising effects were only present for urban incomes. We argue that transfer-based decentralisation without bottom-up accountability was detrimental to economic growth and had limited impact on income redistribution.

scholarly journals Ectopic pregnancy: exploration of its global research architecture using density-equalising mapping and socioeconomic benchmarks

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e018394 ◽  
Author(s):  
Dörthe Brüggmann ◽  
Jana Kollascheck ◽  
David Quarcoo ◽  
Michael H Bendels ◽  
Doris Klingelhöfer ◽  
...  
Keyword(s):  
Ectopic Pregnancy ◽  
Gdp Per Capita ◽  
Related Research ◽  
Depth Analysis ◽  
The Usa ◽  
Per Capita ◽  
The Uk ◽  
Research Architecture ◽  
Country Specific ◽  
Global Research

ObjectiveAbout 2% of all pregnancies are complicated by the implantation of the zygote outside the uterine cavity and termed ectopic pregnancy. Whereas a multitude of guidelines exists and related research is constantly growing, no thorough assessment of the global research architecture has been performed yet. Hence, we aim to assess the associated scientific activities in relation to geographical and chronological developments, existing research networks and socioeconomic parameters.DesignRetrospective, descriptive study.SettingOn the basis of the NewQIS platform, scientometric methods were combined with novel visualising techniques such as density-equalising mapping to assess the scientific output on ectopic pregnancy. Using the Web of Science, we identified all related entries from 1900 to 2012.Results8040 publications were analysed. The USA and the UK were dominating the field in regard to overall research activity (2612 and 723 publications), overall citation numbers and country-specific H-Indices (US: 80, UK: 42). Comparison to economic power of the most productive countries demonstrated that Israel invested more resources in ectopic pregnancy-related research than other nations (853.41 ectopic pregnancy-specific publications per 1000 billlion US$ gross domestic product (GDP)), followed by the UK (269.97). Relation to the GDP per capita index revealed 49.3 ectopic pregnancy-specific publications per US$1000 GDP per capita for the USA in contrast to 17.31 for the UK. Semiqualitative indices such as country-specific citation rates ranked Switzerland first (24.7 citations per ectopic pregnancy-specific publication), followed by the Scandinavian countries Finland and Sweden. Low-income countries did not exhibit significant research activities.ConclusionsThis is the first in-depth analysis of global ectopic pregnancy research since 1900. It offers unique insights into the global scientific landscape. Besides the USA and the UK, Scandinavian countries and Switzerland can also be regarded as leading nations with regard to their relative socioeconomic input.

Managing heart failure – home or hospital?

1992 ◽  
Vol 30 (16) ◽  
pp. 61-63
Keyword(s):  
Heart Failure ◽  
General Practice ◽  
General Population ◽  
Mortality Rates ◽  
The Usa ◽  
The Uk

In the USA, heart failure affects about 1% of people in their 50s, rising to 10% of those in their 80s,1 and the figure is probably higher in the UK. The symptoms are distressing, usually relentless, and associated with mortality rates four to eight times greater than those in the general population of the same age.1 This article reviews the treatment of uncomplicated heart failure, concentrating on its management in general practice.

Ethics and Efficiency in the Provision of Health Care

1988 ◽  
Vol 23 ◽  
pp. 111-126 ◽  
Author(s):  
Alan Williams
Keyword(s):  
Health Care ◽  
Driving Force ◽  
Mortality Rates ◽  
Equal Access ◽  
Demographic Structure ◽  
Major Purpose ◽  
Relative Mortality ◽  
Distribution Rule ◽  
The Uk ◽  
The Impact

1.1. A major purpose in nationalizing the provision of health care in the UK was to affect its distribution between people, and, in particular, to minimize the impact of willingness and ability to pay upon that distribution. It has never been clear, however, what alternative distribution rule is to apply. There is no shortage of rhetoric about ‘equality’ and ‘need’, but most of it is vacuous, by which I mean it does not lead to any clear operational guidelines about who should get priority and at whose expense. The closest we have got so far to such explicit guidelines has been the formulae which determine the geographical distribution of NHS funds, the driving force behind which is a notion of need based on relative mortality rates and on the demographic structure. The avowed objective is to bring about equal access for equal need irrespective of where in the UK you happen to be.

scholarly journals Bioinformatic Modelling of SARS-CoV-2 Pandemic With a Focus on Country-Specific Dynamics

2021 ◽  
Author(s):  
Jakub Liu ◽  
Tomasz Suchocki ◽  
Joanna Szyda
Keyword(s):  
Mortality Rates ◽  
Health Care Facilities ◽  
Public Health Care ◽  
Detection Methods ◽  
The Public ◽  
Johns Hopkins University ◽  
Mixture Of Normal Distributions ◽  
The Uk ◽  
Two Peaks ◽  
Country Specific

Abstract One of the seminal events since 2019 has been the outbreak of the SARS-CoV-2 pandemic. Countries have adopted various policies to deal with it, but they also differ in their socio-geographical characteristics and in the public health care facilities. The aim of our study was to investigate differences between epidemiological parameters across countries. The analysed data represents SARS-CoV-2 repository provided by the Johns Hopkins University. Separately for each country we estimated recovery and mortality rates using the SIRD model applied to the first 30, 60, 150 and 300 days of the pandemic. Moreover, a mixture of normal distributions was fitted to the number of confirmed cases and deaths during the first 300 days. The estimates of peaks’ means and variances were used to identify countries with outlying parameters. For the period of 300 days Belgium, Cyprus, France, the Netherlands, Serbia and the UK were classified as outliers by all three outlier detection methods. Yemen was classified as an outlier for each of the four considered timeframes, due to high mortality rates. During the first 300 days of the pandemic the majority of countries underwent three peaks in the number of confirmed cases, except Australia and Kazakhstan with two peaks.

scholarly journals INCOME INEQUALITY ACROSS STATES IN MALAYSIA

2019 ◽  
Vol 17 ◽  
Author(s):  
Nai Peng Tey ◽  
Siow Li Lai ◽  
Sor Tho Ng ◽  
Kim Leng Goh ◽  
Ahmad Farid Osman
Keyword(s):  
Labour Force ◽  
Labour Force Participation ◽  
Northern Region ◽  
Eastern Region ◽  
Income Per Capita ◽  
Income Differentials ◽  
East Malaysia ◽  
Urban Rural ◽  
Per Capita ◽  
Nationally Representative

This paper examines income differentials across the 16 states/territories in Malaysia, using quantile regression of income per capita on a nationally representative sample of 24,463 households in 2014. The results show that the vast differentials in income per capita across states are attenuated after taking into account urban-rural and ethnic distribution, but remain significant. Income differentials across states vary at different levels of income, being more pronounced at the lower ends of the distributions. States and territory in the central region had the highest income. The three states in the southern regions fared better than those in the northern region (except Penang), and the eastern region as well as East Malaysia. Other variables such as level of urbanisation, the educational level, migration, employment structure, and female labour force participation may also affect income differentials across states.

Sign in / Sign up

Export Citation Format

Share Document