scholarly journals MODELLING SOCIO-ECONOMIC DIFFERENCES IN MORTALITY USING A NEW AFFLUENCE INDEX

2019 ◽  
Vol 49 (03) ◽  
pp. 555-590 ◽  
Author(s):  
Andrew J.G. Cairns ◽  
Malene Kallestrup-Lamb ◽  
Carsten Rosenskjold ◽  
David Blake ◽  
Kevin Dowd

AbstractWe introduce a new modelling framework to explain socio-economic differences in mortality in terms of an affluence index that combines information on individual wealth and income. The model is illustrated using data on older Danish males over the period 1985–2012 reported in the Statistics Denmark national register database. The model fits the historical mortality data well, captures their key features, generates smoothed death rates that allow us to work with a larger number of sub-groups than has previously been considered feasible, and has plausible projection properties.

2020 ◽  
Vol 14 (2) ◽  
pp. 226-246 ◽  
Author(s):  
Hamdiyah Alhassan ◽  
Benjamin Musah Abu ◽  
Paul Kwame Nkegbe

This study tests the hypothesis of whether credit impacts productivity, and whether productivity in turn impacts market participation under a simultaneous modelling framework of credit, productivity and market participation, which has not been pursued in the literature. Using data from the Ghana Living Standards Survey Round 6, we applied a conditional mixed process estimation technique to correct for selectivity bias and unobserved endogeneity. We find that credit positively impacts productivity, which in turn positively impacts market participation. Furthermore, other determinants such as roads, public transport, radio and phone, and compliance with extension advice positively influence productivity while availability of markets and multiple cropping in a season increase the decision to sell maize. These findings imply that the transmission mechanism to transform the subsistence nature of Ghanaian agriculture into a sector characterized by commercial agriculture is to enhance access to credit, which in turn would stimulate productivity, which in turn would enhance market engagement. JEL Classification: Q12, Q13, Q14


2021 ◽  
Vol 21 (4) ◽  
pp. 1-10
Author(s):  
V. Gomathy ◽  
K. Janarthanan ◽  
Fadi Al-Turjman ◽  
R. Sitharthan ◽  
M. Rajesh ◽  
...  

Coronavirus Disease 19 (COVID-19) is a highly infectious viral disease affecting millions of people worldwide in 2020. Several studies have shown that COVID-19 results in a severe acute respiratory syndrome and may lead to death. In past research, a greater number of respiratory diseases has been caused by exposure to air pollution for long periods of time. This article investigates the spread of COVID-19 as a result of air pollution by applying linear regression in machine learning method based edge computing. The analysis in this investigation have been based on the death rates caused by COVID-19 as well as the region of death rates based on hazardous air pollution using data retrieved from the Copernicus Sentinel-5P satellite. The results obtained in the investigation prove that the mortality rate due to the spread of COVID-19 is 77% higher in areas with polluted air. This investigation also proves that COVID-19 severely affected 68% of the individuals who had been exposed to polluted air.


2022 ◽  
pp. 1-16
Author(s):  
Mohammed Nasser Al-Suqri

The chapter provides an in-depth overview and analysis for developing policies and strategies for managing a pandemic based on information and data. While looking for the credibility of an information source, various parameters are subjected for considerations (i.e., infection and death rates per given time, availability of personal protective equipment [PPE], overall population attitude, current strategy response rate, society behaviors, outcomes of policies interventions for curbing the spread of the virus, and many more). To critically analyze pandemic information and data usage along with issues and challenges that arise in collecting, extracting, or using various forms of information and data for pandemic management, numerous national action plans, world health databases, pandemic monitoring smart applications, government published infection-to-death ratios, and health cloud services are interpreted and discussed.


2019 ◽  
Vol 54 (6) ◽  
pp. 593-598 ◽  
Author(s):  
Nathalie Pruckner ◽  
Barbara Hinterbuchinger ◽  
Matthäus Fellinger ◽  
Daniel König ◽  
Thomas Waldhoer ◽  
...  

Abstract Aims Alcohol is an important risk factor for morbidity and mortality, especially within the European region. Differences in per capita consumption and drinking patterns are possible reasons for regional differences and diverging trends in alcohol-related health outcomes. Methods Twenty-nine countries within the World Health Organization (WHO) European region were evaluated for trends and predictions in alcohol-related deaths within the last four decades using data available from the WHO Health for All database. Results Between 1979 and 2015, age-standardised death rates due to selected alcohol-related causes decreased significantly for both sexes in all assessed countries of the WHO European region, but regional differences are still pronounced. Assuming a similar trend in the future, the model predicted a further decrease until the year 2030. Conclusion Even though alcohol-related mortality may have decreased within the last decades, the detrimental effects of alcohol consumption and alcohol dependence remain a considerable burden of disease within Europe.


2020 ◽  
Vol 12 (10) ◽  
pp. 4200 ◽  
Author(s):  
Thanh-Long Giang ◽  
Dinh-Tri Vo ◽  
Quan-Hoang Vuong

Using data from the WHO’s Situation Report on the COVID-19 pandemic from 21 January 2020 to 30 March 2020 along with other health, demographic, and macroeconomic indicators from the WHO’s Application Programming Interface and the World Bank’s Development Indicators, this paper explores the death rates of infected persons and their possible associated factors. Through the panel analysis, we found consistent results that healthcare system conditions, particularly the number of hospital beds and medical staff, have played extremely important roles in reducing death rates of COVID-19 infected persons. In addition, both the mortality rates due to different non-communicable diseases (NCDs) and rate of people aged 65 and over were significantly related to the death rates. We also found that controlling international and domestic travelling by air along with increasingly popular anti-COVID-19 actions (i.e., quarantine and social distancing) would help reduce the death rates in all countries. We conducted tests for robustness and found that the Driscoll and Kraay (1998) method was the most suitable estimator with a finite sample, which helped confirm the robustness of our estimations. Based on the findings, we suggest that preparedness of healthcare systems for aged populations need more attentions from the public and politicians, regardless of income level, when facing COVID-19-like pandemics.


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Gary J. Macfarlane ◽  
Ejaz Pathan ◽  
Stefan Siebert ◽  
Jonathan Packham ◽  
Karl Gaffney ◽  
...  
Keyword(s):  

2019 ◽  
Vol 135 (1) ◽  
pp. 150-160
Author(s):  
Wanda K. Jones ◽  
Robert A. Hahn ◽  
R. Gibson Parrish ◽  
Steven M. Teutsch ◽  
Man-Huei Chang

Objectives: Male mortality fell substantially during the past century, and major causes of death changed. Building on our recent analysis of female mortality trends in the United States, we examined all-cause and cause-specific mortality trends at each decade from 1900 to 2010 among US males. Methods: We conducted a descriptive study of age-adjusted death rates (AADRs) for 11 categories of disease and injury stratified by race (white, nonwhite, and, when available, black), the excess of male mortality over female mortality ([male AADR − female AADR]/female AADR), and potential causes of persistent excess of male mortality. We used national mortality data for each decade. Results: From 1900 to 2010, the all-cause AADR declined 66.4% among white males and 74.5% among nonwhite males. Five major causes of death in 1900 were pneumonia and influenza, heart disease, stroke, tuberculosis, and unintentional nonmotor vehicle injuries; in 2010, infectious conditions were replaced by cancers and chronic lower respiratory diseases. The all-cause excess of male mortality rose from 9.1% in 1900 to 65.5% in 1980 among white males and a peak of 63.7% in 1990 among nonwhite males, subsequently falling among all groups. Conclusion: During the last century, AADRs among males declined more slowly than among females. Although the gap diminished in recent decades, exploration of social and behavioral factors may inform interventions that could further reduce death rates among males.


2020 ◽  
Vol 4 ◽  
pp. 136
Author(s):  
Kayoko Shioda ◽  
Cristiana M. Toscano ◽  
Maria Tereza Valenzuela ◽  
William Valdez Huarcaya ◽  
Joshua L. Warren ◽  
...  

Background: Pneumococcal conjugate vaccines (PCVs) have prevented deaths due to pneumonia among children. The effect may differ between higher- and lower-income populations due to various factors, such as differences in the distribution of pneumococcal serotypes, healthcare access, and PCV uptake. This study aims to evaluate an association between increasing PCV coverage and population-level declines in death due to pneumonia and its variation by socioeconomic status of subnational regions. Methods: We analyzed municipality-level mortality data from 2005 and 2015 for children aged 2-23 months in Brazil, Colombia, and Peru. We fit Poisson regression models to estimate the relationship between changes in PCV uptake and deaths due to all-cause pneumonia among subnational regions with different income levels. We controlled for changes unrelated to PCV by using data on non-respiratory deaths over time. Results: Uptake of the third dose of PCV varied across subnational regions and was higher in high-income regions. Higher uptake of PCV was associated with larger declines in pneumonia mortality. This association did not differ by income level of the region in Brazil and Colombia. In Peru, low-income regions observed larger declines in pneumonia deaths, but there was large uncertainty in the difference between the low- and high-income regions. We estimated that, with 90% coverage, there would be 4-38% declines in all-cause pneumonia mortality across income levels and countries. Conclusions: Regions with higher PCV coverage experienced larger declines in pneumonia deaths, regardless of the income level. Having more reliable data on mortality records and vaccine uptake would improve the reliability of vaccine impact estimates.


Author(s):  
Carlo Maccheroni ◽  
Samuel Nocito

The work proposes a backtesting analysis in comparison between the Lee-Carter and the Cairns-Blake-Dowd mortality models, employing Italian data. The mortality data come from the Italian National Statistics Institute (ISTAT) database and span the period 1975-2014, over which we computed back-projections evaluating the performances of the models in comparisons with real data. We propose three different backtest approaches, evaluating the goodness of short-run forecast versus medium-length ones. We find that both models were not able to capture the improving shock on the mortality observed for the male population on the analyzed period. Moreover, the results suggest that CBD forecast are reliable prevalently for ages above 75, and that LC forecast are basically more accurate for this data.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric V. Bakota ◽  
Deborah Bujnowski ◽  
Larissa Singletary ◽  
Sherry Onyiego ◽  
NAdia Hakim ◽  
...  

ObjectiveIn this session, we will explore the results of a descriptive analysis of all drug overdose mortality data collected by the Harris County Medical Examiner's Office and how that data can be used to inform public health action.IntroductionDrug overdose mortality is a growing problem in the United States. In 2017 alone over 72,000 deaths were attributed to drug overdose, most of which were caused by fentanyl and fentanyl analogs (synthetic opioids)1. While nearly every community has seen an increase in drug overdose, there is considerable variation in the degree of increase in specific communities. The Harris County community, which includes the City of Houston, has not seen the massive spikes observed in some communities, such as West Virginia, Kentucky, and Ohio. However, the situation in Harris County is complicated in mortality and drug use. From 2010 - 2016 Harris County has seen a fairly stable overdose-related mortality count, ranging from 450 - 618 deaths per year. Of concern, the last two years, 2015-2016, suggest a sharp increase has occurred. Another complexity is that Harris County drug related deaths seem to be largely from polysubstance abuse. Deaths attributed to cocaine, methamphetamine, and benzodiazipine all have risen in the past few years. Deaths associated with methamphetamine have risen from approximately 20 per year in 2010 - 2012 to 119 in 2016. This 6-fold increase is alarming and suggests a large-scale public health response is needed.MethodsData were collected by the Harris County Institute of Forensic Sciences (IFS), which is part of the Harris County Medical Examiner's Office. IFS is the agency responsible for collecting and analyzing human tissue of the deceased for toxicological information about the manner and cause of death. IFS is able to test for the presence of multiple substances, including opioids, benzodiazepines, methamphetamines, cocaine, ethanol, and many others.These data were cleaned and labeled for the presence of opioids, cocaine, benzodiazepine, Z-drug (novel drug), amphetamines, ethanol, and carisoprodol. Explorative descriptive analyses were then completed in R (version 3.4) to identify trends. An RShiny app was created to further explore the data by allowing for rapid filtering and/or subsetting based on various demographic characteristics (e.g., age, sex, race).ResultsWe found that Harris County is experiencing a modest upward trend of drug related overdoses, with 529 observed in 2010 and 618 in 2016. We also found that the increase was not uniform across all classified drugs: amphetamines, cocaine, and ethanol all saw increases. Deaths involving amphetamine increased substantially from 21 in 2010 to 119 in 2016 (Figure 1). Deaths involving cocaine saw the next sharpest increase with 144 in 2010 and 237 in 2016. Deaths associated with opioids remained fairly constant, with 291 deaths in 2010 and 271 deaths in 2016.Differences in mortality across race and sex groups were also observed. The proportion of amphetamine deaths among whites jumped sharply, while the proportion of opioid and benzodiazepine deaths among whites decreased in recent years. The proportion of amphetamine and cocaine deaths among men rose more sharply than with women in the past three years, whereas for opioids, the proportion of women dying has dropped.ConclusionsIt is undeniable that the opioid epidemic is a true public health emergency for the nation. New surveillance tools are needed to better understand the impact and nature of this threat. Additionally, as we have found in Harris County, the threat may be polysubstance in nature.Our report offers two important insights: 1) that mortality data is a useful and actionable surveillance resource in understanding the problem of substance abuse; and 2) public health needs to look at substance abuse from a holistic and comprehensive perspective. Keeping the purview limited to opioids alone may create significant blind spots to the public health threat facing us.References1. National Institute of Health. (2018) Overdose Death Rates. Retreived from https://www.drugabuse.gov/related-topics/trends-statistics/overdose-death-rates


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