scholarly journals Improved Trends in the Mortality-To-Incidence Ratios for Liver Cancer in Countries With High Development Index and Health Expenditures

2021 ◽  
Author(s):  
Chi-Chih Wang ◽  
Hsin-Hung Chen ◽  
Wen-Wei Sung ◽  
Ming-Chang Tsai
Keyword(s):  
Liver Cancer ◽  
Health Expenditure ◽  
Primary Liver Cancer ◽  
World Health ◽  
Aging Effects ◽  
Development Index ◽  
Current Health ◽  
Incidence And Mortality ◽  
The World ◽  
Per Capita

Abstract Primary liver cancer is one of leading causes of death globally. Liver cancer has the uniqueness of geographical distribution as it predisposes viral infection etiologies and aging effects. We speculate if the human development index (HDI), current health expenditure (CHE) per capita, and current health expenditure on gross domestic product (CHE/GDP) can affect the incidence numbers, mortality numbers, or mortality-to-incidence ratios (MIRs) of liver cancer worldwide. Data was obtained from GLOBOCAN health data and statistics from the World Health Organization. MIRs and the changes in MIR over time (𝛿MIR) were used to evaluate the correlation of expenditures on healthcare and the HDI disparities via Spearman's rank correlation coefficient. The incidence and mortality of crude rate have significant associations with HDI, CHE per capita, and CHE/GDP. Specifically, there were significant associations between 𝛿MIR and HDI as well as between 𝛿MIR and CHE per capita. However, there were no significant associations between 𝛿MIR and CHE/GDP. We evidenced that favorable liver cancer 𝛿MIR was not associated with CHE/GDP, although it had significant association with HDI and CHE per capita. This result is worthy of the attention of the public health system all over the world.

The monetary value of disability-adjusted-life-years lost in Kenya in 2017.pdf

2019 ◽  
Author(s):  
Joses Kirigia ◽  
Rose Nabi Deborah Karimi Muthuri
Keyword(s):  
New York ◽  
International Monetary Fund ◽  
Health Expenditure ◽  
Analytical Framework ◽  
World Health ◽  
Gdp Per Capita ◽  
Current Health ◽  
Monetary Value ◽  
Life Years ◽  
Per Capita

<div>A variant of human capital (or net output) analytical framework was applied to monetarily value DALYs lost from 166 diseases and injuries. The monetary value of each of the 166 diseases (or injuries) was obtained through multiplication of the net 2019 GDP per capita for Kenya by the number of DALYs lost from each specific cause. Where net GDP per capita was calculated by subtracting current health expenditure from the GDP per capita. </div><div> </div><p>The DALYs data for the 166 causes were from IHME (Global Burden of Disease Collaborative Network, 2018), GDP per capita data from the International Monetary Fund world economic outlook database (International Monetary Fund, 2019), and the current health expenditure per person data from the WHO Global Health Expenditure Database (World Health Organization, 2019b). A model consisting of fourteen equations was calculated with Excel Software developed by Microsoft (New York).</p><p> </p>

Incidence and mortality of liver cancer and their relationship with the human development index in the world

2016 ◽  
Vol 3 (9) ◽  
Author(s):  
Masoumeh Arabsalmani ◽  
Maryam Mirzaei ◽  
Mahshid Ghoncheh ◽  
Ali Soroush ◽  
Farhad Towhidi ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Human Development ◽  
Human Development Index ◽  
Development Index ◽  
Incidence And Mortality ◽  
The World

scholarly journals The monetary value of disability-adjusted-life-years lost in Kenya in 2017.pdf

2019 ◽  
Author(s):  
Joses Kirigia ◽  
Rose Nabi Deborah Karimi Muthuri
Keyword(s):  
New York ◽  
International Monetary Fund ◽  
Health Expenditure ◽  
Analytical Framework ◽  
World Health ◽  
Gdp Per Capita ◽  
Current Health ◽  
Monetary Value ◽  
Life Years ◽  
Per Capita

<div>A variant of human capital (or net output) analytical framework was applied to monetarily value DALYs lost from 166 diseases and injuries. The monetary value of each of the 166 diseases (or injuries) was obtained through multiplication of the net 2019 GDP per capita for Kenya by the number of DALYs lost from each specific cause. Where net GDP per capita was calculated by subtracting current health expenditure from the GDP per capita. </div><div> </div><p>The DALYs data for the 166 causes were from IHME (Global Burden of Disease Collaborative Network, 2018), GDP per capita data from the International Monetary Fund world economic outlook database (International Monetary Fund, 2019), and the current health expenditure per person data from the WHO Global Health Expenditure Database (World Health Organization, 2019b). A model consisting of fourteen equations was calculated with Excel Software developed by Microsoft (New York).</p><p> </p>

scholarly journals Incidence and mortality of kidney cancer and its relationship with HDI (Human Development Index) in the world in 2012

2017 ◽  
Vol 90 (3) ◽  
pp. 286-293 ◽  
Author(s):  
Maryam Mohammadian ◽  
Reza Pakzad ◽  
Farhad Towhidi ◽  
Behnam Reza Makhsosi ◽  
Abbas Ahmadi ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Human Development ◽  
Kidney Cancer ◽  
Human Development Index ◽  
Developed Countries ◽  
World Health ◽  
Development Index ◽  
Positive Correlation ◽  
Incidence And Mortality ◽  
The World

Background and aims. Kidney cancer is among the cancers that have the highest growth rate in all age and racial groups in the world and is as the most deadly type of urinary tract cancer. Since awareness about this cancer incidence status and mortality is essential for better planning, this study aimed to investigate the incidence and mortality rate of kidney cancer and its relationship with the development index in the world in 2012.Method. This study was an ecological study conducted based on GLOBOCAN project of the World Health Organization (WHO) for the countries in the world. The correlation between Standardized Incidence Rates (SIRs) and Standardized Mortality Rates (SMRs) of kidney cancer with HDI and its components was assessed using SPSS18.Results. In total, 337,860 incidence cases (213,924 were men and 123,936 women) and 143,406 deaths (90,802 cases in men and 52,604 in women) of kidney cancer were recorded in 2012. A positive correlation of 0.731 was seen between SIR of kidney cancer and HDI (p≤0.001). Also, a negative correlation of 0.627was seen between SMR of kidney cancer and HDI (p≤0.001). Conclusion. The incidence and mortality rate of kidney cancer is higher in developed countries. A significant positive correlation has been seen between the standardized incidence and mortality rate of kidney cancer with the Human Development Index and its components. We need more studies to examine variation in incidence and mortality of kidney cancer and its related factors in the world.

scholarly journals Underlying Differences in Health Spending Within the World Health Organisation Europe Region—Comparing EU15, EU Post-2004, CIS, EU Candidate, and CARINFONET Countries

2019 ◽  
Vol 16 (17) ◽  
pp. 3043 ◽  
Author(s):  
Mihajlo Jakovljevic ◽  
Paula Odete Fernandes ◽  
João Paulo Teixeira ◽  
Nemanja Rancic ◽  
Yuriy Timofeyev ◽  
...  
Keyword(s):  
Private Sector ◽  
Purchasing Power Parity ◽  
Health Expenditure ◽  
Government Expenditure ◽  
Health Spending ◽  
World Health Organisation ◽  
World Health ◽  
Power Parity ◽  
Out Of Pocket Payments ◽  
The World

This study examined the differences in health spending within the World Health Organization (WHO) Europe region by comparing the EU15, the EU post-2004, CIS, EU Candidate and CARINFONET countries. The WHO European Region (53 countries) has been divided into the following sub-groups: EU15, EU post-2004, CIS, EU Candidate countries and CARINFONET countries. The study period, based on the availability of WHO Global Health expenditure data, was 1995 to 2014. EU15 countries have exhibited the strongest growth in total health spending both in nominal and purchasing power parity terms. The dynamics of CIS members’ private sector expenditure growth as a percentage of GDP change has exceeded that of other groups. Private sector expenditure on health as a percentage of total government expenditure, has steadily the highest percentage point share among CARINFONET countries. Furthermore, private households’ out-of-pocket payments on health as a percentage of total health expenditure, has been dominated by Central Asian republics for most of the period, although, for the period 2010 to 2014, the latter have tended to converge with those of CIS countries. Western EU15 nations have shown a serious growth of health expenditure far exceeding their pace of real economic growth in the long run. There is concerning growth of private health spending among the CIS and CARINFONET nations. It reflects growing citizen vulnerability in terms of questionable affordability of healthcare. Health care investment capability has grown most substantially in the Russian Federation, Turkey and Poland being the classical examples of emerging markets.

scholarly journals Incidence and Mortality of Nasopharynx Cancer and Its Relationship With Human Development Index in the World in 2012

2016 ◽  
Vol 7 (5-6) ◽  
pp. 109-118 ◽  
Author(s):  
Neda Mahdavifar ◽  
Farhad Towhidi ◽  
Behnam Reza Makhsosi ◽  
Reza Pakzad ◽  
Ali Moini ◽  
...  
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Development Index ◽  
Incidence And Mortality ◽  
The World ◽  
Nasopharynx Cancer

scholarly journals Post Covid-19 urbanization requires new standards and per capita in planning, design, and building

2021 ◽  
Author(s):  
Abdol Aziz Shahraki
Keyword(s):  
Public Health ◽  
Health Protection ◽  
Urban Transport ◽  
Urban Spaces ◽  
World Health ◽  
The World ◽  
Per Capita ◽  
Health Organization ◽  
Public Health Protection ◽  
Urban Places

Abstract This paper studies investment reductions in urban health protection programs in the recent decades under the umbrella of plutocratic ideas. It studies the densely populated slums with little urban spaces, narrow sidewalks, traffic jams, and degraded environmental components. This paper addresses the question of how shall we reopen post-covid-19 cities sustainably and lively? Our method to find a solution is an innovative mathematical model that suggests revision in the current regulations and standards, sizes, and per capita of urban spaces with the help of maximizing necessary investments. This paper analyzes crowded neighborhoods, urban transport sites, and polluted environments where people cannot respect world health organization protocols concerning individual and public health protection. This research aims to maximize investment in public health protection for supplying suitable urban places’ sizes. Outcomes of this research will be helpful to reopen cities in the post-covid-19 everywhere in the world.

scholarly journals Analysis of Factors Affecting Human Development Index in the City of Binjai

2021 ◽  
Vol 8 (4) ◽  
pp. 161-170
Author(s):  
Elisabet Novita Barus ◽  
HB. Tarmizi ◽  
Rahmanta .
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Capita Income ◽  
Health Expenditure ◽  
Per Capita Income ◽  
Education Expenditure ◽  
Development Index ◽  
Shopping Area ◽  
Per Capita ◽  
The City

This study aims to analyze the Factors That Affect Human Development Index in the City of Binjai with variable observations shopping area in the field of health, education, population, and income per capita. This research is causality by performing multiple regression analysis (Multiple Regression Analysis). The Data used is the data of the year 2005 up to 2019 are presented per semester (n=30 samples). The results of the study concluded that the shopping area in the field of health, expenditure on education, expenditure in the field of population, and per capita income is able to influence the human development index in the local government of the City of Binjai. Based on the value of the coefficient of determination (r-square) of all the variables, it was concluded that per capita income is a variable dominant that affect the human development index in the local government of the City of Binjai. Keywords: The Human Development Index, A Shopping Area In The Field Of Health, Expenditure On Education, Expenditure In The Field Of Population, And Per Capita Income.

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