Correlation between the Human Development Index and the Incidence and Mortality of Non-Hodgkin Lymphoma

Objective This study was to examine the relationship between socioeconomic status and the incidence and mortality of non-Hodgkin lymphoma(NHL).Methods We compared the age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and the ASMR to ASIR ratio(MIR)at national and regional levels and studied the correlation between the MIR and the human development index(HDI)in 2012 and 2018.Results The highest ASIR was in North America in 2012 and in Australia in 2018,and the lowest ASIR was in Central and South Asia in both 2012 and 2018.The highest ASMR was in North Africa in both 2012 and 2018,and the lowest ASMR was in Eastern Asia and South-Central Asia in 2012 and in South-Central Asia in 2018.The lowest MIR was in Australia in both 2012 and 2018,and the highest MIR was in Western Africa in both 2012 and 2018.HDI was strongly negatively correlated with MIR(r:−0.8810,P<0.0001,2012;r:−0.8895,P<0.0001,2018).Compared to the 2012 data,the MIR in the intermediate HDI countries significantly deceased and the HDI in low and high HDI countries significantly increased in 2018.Conclusion The MIR is negatively correlated with HDI.Increasing the HDI in low and intermediate HDI countries may reduce the MIR and increase the survival of patients with NHL.

National Breast Cancer Mortality and Incidence Rates According to the Human Development Index: An Ecological Study

Background: This study aimed to identify the role of human development index (HDI) in the incidence and mortality rates of breast cancer (BC) worldwide. Methods: Data on the age-standardized incidence and mortality rates of BC for 184 countries were obtained from the GLOBOCAN. Data about the HDI and other indices were obtained from the World Bank Report 2013. Linear regression model was used for assessment the effect of HDI on BC occurrence rates. Results: In 2012, BCs were estimated to have affected a total of 1,671,149 individuals (crude rate: 47.8 per 100,000 individuals), and caused 521,907 deaths worldwide (crude rate: 14.7 per 100,000 individuals). Nearly half of total female BC cases (46.3%) with the highest risk of incidence (age-standardized Rate (ASR): 128 per 100,000) had occurred in very high HDI regions. The most proportion of the mortality burden was in low HDI and medium HDI areas. Linear regression analyses showed a direct significant correlation between the incidence of BC and HDI at the global level (B = 104.5, P < 0.001). The mortality rate of BC was not significantly associated with HDI (B = 3.26, P = 0.160). Conclusion: Our study showed that the burden of female BC is enormous in very high HDI and low HID regions. Targeted interventions have the ability to reduce this number significantly through resource-dependent interventions. Moreover, further reductions in mortality could be brought about by increasing access to curative treatment for patients with BC.

Sustainable Urban Development Evaluation of Shanghai:An Ecological Wellbeing Performance Perspective

Against the backdrop of aggravating resource and environment restriction,it is an inevitable choice to adopt the sustainable development pattern to maximize social well-being within the ecological threshold.From the perspective of ecological well-being performance,ecological footprint per capita and human development index were selected to construct the evaluation index system for sustainable urban development,and DEA applied to calculate the input-output efficiency,so as to analyze the sustainable development level of Shanghai from 1999 to 2012.The results showed that①human development index,ecological footprint per capita of Shanghai grew in step with economic development,but ecological footprint per capita level exceeded the ecological carrying capacity,thus the overall ecological conditions remained in the state of worsening "deficit";②ecological well-being performance of Shanghai in most years remained in the DEA ineffective state,and the scale return had decreased gradually since 2005.In addition,the paper gave pertinent suggestions.

Use of a Neural Network to Measure the Impact of Social Distribution and Access to Infrastructure on the HDI of the Municipalities of Mexico

The Human Development Index (HDI) was created by the United Nations (UN) and is the basis for many other indicators, as well as being the origin of many public policies worldwide. It is a summary measure of life expectancy, education, and per capita income. These components, in addition to being global measures, show difficulty in being impacted and, with this, advancing in the level of human development. This work shows a model that relates variables of social distribution and access to infrastructure in Mexico, with the HDI. These variables were chosen through a statistical analysis based on a set of indicators measured by the National Institute of Statistics and Geography (INEGI) periodically at the municipal level. The statistical analysis shows that there is no simple correlation between these variables and the HDI, so that a supervised learning model based on a neural network was used, therefore proposing a classification technique based on the distribution of data in the underlying metric space. In addition, an attempt was made to find the simplest possible model to reduce the computational cost and in turn obtain information on the variables with the greatest impact on the HDI, with the aim of facilitating the creation of public policies that impact it.

Socioeconomic inequalities in cancer incidence and mortality:An analysis of GLOBOCAN 2022

Background:Given the recent updates in cancer burden estimates by GLOBOCAN 2022,this study was undertaken to provide pertinent perspectives within the context of the Human Development Index(HDI)and major world economies.Methods:Datasets sourced from GLOBOCAN encompassed cancer cases and deaths across all cancer types in 2022,alongside projections up to 2050.Cancer incidences and deaths of the top 10 cancers within China and four distinct HDI-classified regions were compared using descriptive analyses.Age-standardized incidence rates(ASIRs)and mortality rates(ASMRs)worldwide for the most prevalent cancers in 2022 across ten largest economies and four-tier HDIs were examined.The top five cancer types concerning both incidence and mortality in China were delineated by sex and age group.Results:In males,prostate cancer predominated in countries with low,high(except China),and very high HDI.Prostate and liver cancers were prominent causes of death in countries with low HDI.In females,breast and cervical cancers predominated in countries with low-to-medium HDI.Lung and colorectal cancer incidence and deaths increased with high HDI for both sexes.ASIRs and ASMRs for breast,prostate,lung,and colorectal cancers in the top 10 economies were higher than the global average.However,liver,stomach,and cervical cancers in most Western countries exhibited lower rates.In China,hematologic malignancies(43%)were prevalent among children aged 0-14 years,whereas thyroid cancer led among adolescents and young adults aged 15-39 years.Regarding incidence and mortality,lung cancer predominated for individuals over 40 years,except for females aged 40-59 years,in whom breast cancer predominated.Projected trends indicated substantial increases in new cancer cases(76.6%)and deaths(89.7%)over the next three decades.Conclusions:Infection-and poverty-related cancer burdens are offset by increased prostate,breast,colorectal,and lung cancer incidence associated with rapid societal and economic transitions.Cancer incidence and mortality patterns in China feature characteristics of developed and developing countries,necessitating tailored,evidence-based,and comprehensive strategies for effective cancer prevention and control.

The Matthew Effect in Running:An Analysis of Elite Endurance Athletes Over 23 Years

Purpose The purpose of this study was to investigate the frequency of countries represented in the TOP20 long-distance elite runners ranking during 1997-2020,taking into account the countries’Human Development Index(HDI),and to verify if the Matthew effect can be observed regarding countries’representativeness in the raking alongside the years.Methods The sample comprised 1852 professional runner athletes,ranked in the Senior World TOP20 half-marathon(403 female and 487 male)and marathon(480 female and 482 male)races,between the years 1997-2020.Information about the countries’HDI was included,and categorized as“low HDI”,“medium HDI”,“high HDI”,and“very-high HDI”.Athletes were categorized according to their ranking positions(1st-3rd;4th-10th;>10th),and the number of athletes per country/year was summed and categorized as“total number of athletes 1997-2000”;“total number of athletes 2001-2010”;and“total number of athletes 2011-2020”.The Chi-square test and Spearman correlation were used to verify potential associations and relationships between variables.Results Most of the athletes were from countries with medium HDI,followed by low HDI and very-high HDI.Chi-square test results showed significant differences among females(χ^(2)=15.52;P=0.017)and males(χ^(2)=9.03;P=0.014),in half-marathon and marathon,respectively.No significant association was verified between HDI and the total number of athletes,but the association was found for the number of athletes alongside the years(1997-2000 to 2001-2010:r=0.60;P<0.001;2001-2010 to-2011-2020:r=0.29;P<0.001).Conclusion Most of the athletes were from countries with medium HDI,followed by those with low HDI and very-high HDI.The Matthew effect was observed,but a generalization of the results should not be done.

Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes

Background:The 2014 Ebola epidemic in West Africa has attracted public interest worldwide,leading to millions of Ebola-related Internet searches being performed during the period of the epidemic.This study aimed to evaluate and interpret Google search queries for terms related to the Ebola outbreak both at the global level and in all countries where primary cases of Ebola occurred.The study also endeavoured to look at the correlation between the number of overall and weekly web searches and the number of overall and weekly new cases of Ebola.Methods:Google Trends(GT)was used to explore Internet activity related to Ebola.The study period was from 29 December 2013 to 14 June 2015.Pearson’s correlation was performed to correlate Ebola-related relative search volumes(RSVs)with the number of weekly and overall Ebola cases.Multivariate regression was performed using Ebola-related RSV as a dependent variable,and the overall number of Ebola cases and the Human Development Index were used as predictor variables.Results:The greatest RSV was registered in the three West African countries mainly affected by the Ebola epidemic.The queries varied in the different countries.Both quantitative and qualitative differences between the affected African countries and other Western countries with primary cases were noted,in relation to the different flux volumes and different time courses.In the affected African countries,web query search volumes were mostly concentrated in the capital areas.However,in Western countries,web queries were uniformly distributed over the national territory.In terms of the three countries mainly affected by the Ebola epidemic,the correlation between the number of new weekly cases of Ebola and the weekly GT index varied from weak to moderate.The correlation between the number of Ebola cases registered in all countries during the study period and the GT index was very high.Conclusion:Google Trends showed a coarse-grained nature,strongly correlating with global epidemiological data,but was weaker at country level,as it was prone to distortions induced by unbalanced media coverage and the digital divide.Global and local health agencies could usefully exploit GT data to identify disease-related information needs and plan proper communication strategies,particularly in the case of health-threatening events.

Theoretical Connotation and Quantitative Measurement of Common Prosperity

It is of great importance to fully understand the connotation of and identify a quantitative method to measure common prosperity in China.This paper starts with a theoretical framework of fairness,efficiency,development,and shared prosperity,draws upon the proper understanding of common prosperity with Chinese characteristics,and explores a globally quantitative measurement of common prosperity,with a focus on the outcomes of national prosperity and prosperity for all.Furthermore,this paper discusses the assumptions and mathematical expressions of the quantitative function and analyzes the structural implications of indicator dimensions,functional relations,and variable standardization to ultimately provide a solid quantitative foundation for promoting common prosperity.The findings show that the quantitative measurement of common prosperity proposed in this paper performs stably in terms of weights,thresholds,and indicator settings.Based on the data of 162 economies collected between 1990 and 2020,this paper finds that China has made great progress in promoting common prosperity,which showcases the strengths of the country’s socialist system.

The assessment of climatic,environmental,and socioeconomic aspects of the Brazilian Cerrado

Background The Cerrado is the most biodiverse savanna and maintains other biomes.Aware of its significance,this paper evaluated the Brazilian Cerrado’s climatic,environmental,and socioeconomic aspects using remote sensing data and spatial statistics(correlation analysis and principal components analysis—PCA).Following the measures of sample adequacy(MSA)and Kaiser–Meyer–Olkin(KMO)tests,seventeen variables were evaluated.Results The MSA revealed that the dataset had a good quality(0.76),and nine variables were selected:elevation,evapotranspiration,active fires,Human Development Index(HDI),land use and land cover(LULC;shrubland and cropland/rainfed),rainfall(spring and autumn),and livestock.The correlation matrix indicated a positive(negative)association between HDI and autumn rainfall(HDI and active fires)with a value of 0.77(-0.55).The PCA results determined which three principal components(PC)were adequate for extracting spatial patterns,accounting for 68.02%of the total variance with respective values of 38.59%,16.89%,and 12.5%.Due to economic development and agribusiness,Cerrado’s northern(central,western,and southern)areas had negative(positive)score HDI values,as shown in PC1.Climatic(rainfall—spring and fall)and environmental(cropland/rainfed and shrubland)aspects dominated the PC2,with negative scores in northern and western portions due to the transition zone between Amazon and Cerrado biomes caused by rainfall variability.On the other hand,environmental aspects(LULC-shrubland and elevation)influenced the PC3;areas with high altitudes(>500 m)received a higher score.Conclusion Agricultural expansion substantially affected LULC,leading to deforestation-caused suppression of native vegetation.