Indicators Of Social Development Research Articles

Sustainability of development of economic entities in partially autarkic economy

Subject. The article considers the methodology for assessing the sustainability of business entities’ development in modern Russia, characterized by elements of autarky. Objectives. Our aims are to reveal the specifics of sustainable development in a closed economy, determine the degree stakeholders’ interests coordination as a basis for identifying sustainability of their development, elaborate a methodology for determining the sustainability of development of economic entities in a partially autarkic economy. Methods. We employ general scientific methods, i.e. scientific abstraction, analysis and synthesis, as well as approaches to determining the influence of behavioral motives of decision-makers when identifying the effectiveness of economic entities’ development. Results. The paper underpinned the need to determine the impact of the degree of coordination of stakeholders' interests in determining the sustainability of development of market actors; offered a classification of stakeholders' interests; developed the traditional concept of triple bottom line that rests on identification of economic, social, and environmental indicators of development on the basis of supplementing the assessment of sustainability by the results of stakeholder interests coordination. Conclusions. In addition to the impact of social, environmental and economic factors, it is necessary to determine the level of coordination of stakeholders' interests, as well as stakeholder risk.

Global, regional, and national burden and trends analysis of gallbladder and biliary tract cancer from 1990 to 2019 and predictions to 2030: a systematic analysis for the Global Burden of Disease Study 2019.

Our aim was to explore the disease burden caused by gallbladder and biliary tract cancer globally, regionally, and nationally, by age and sex. The absolute number of cases and age-standardized rates (ASR) of incidence, prevalence, mortality, and disability-adjusted life years (DALYs) due to gallbladder and biliary tract cancer were extracted from the Global Burden of Disease (GBD) Study 2019. We estimated the trends in disease burden by calculating the percentage change in the absolute number of cases and the estimated annual percentage change (EAPC) in ASR, by social development index (SDI), region, nation, sex, and age. From 1990 to 2019, the number of incident cases, prevalent cases, deaths, and DALYs worldwide significantly increased by 1.85-fold, 1.92-fold, 1.82-fold, and 1.68-fold, respectively. However, the age-standardized rates of incidence, prevalence, mortality, and DALYs tend to decrease globally over time. Nevertheless, heterogeneous disease burden patterns exist between geographic regions due to different geographical risk factors, distinct epidemiologically predominant gallbladder and biliary tract cancer subtypes, and potential genetic predispositions or ethnicity. Additionally, socioeconomic status mediates the regional variation in disease burden, with increasing SDI or HDI scores associated with downward trends in the age-standardized rates of incidence, prevalence, mortality, and DALYs. Older individuals and females are at higher risk of gallbladder and biliary tract cancer, but the increasing burden of early-onset gallbladder and biliary tract cancer is a cause for concern, especially for those living in lower SDI areas and males. High BMI is the primary risk factors underlying gallbladder and biliary tract cancer, accounted for 15.2% of deaths and 15.7% DALYs globally in 2019. Our study comprehensively elucidated the distribution and dynamic trends of gallbladder and biliary tract cancer burden over the past three decades, from multiple dimensions. These findings emphasize the importance of promoting a healthy lifestyle as a population-level cancer prevention strategy and tailoring cancer control actions based on localized risk factors and the epidemic profiles of gallbladder and biliary tract cancer by anatomical subtype.

Global, regional, and national burden of type 1 diabetes in adolescents and young adults.

Type 1 diabetes (T1D) incidence in adolescents varies widely, but has increased globally in recent years. This study reports T1D burden among adolescents and young adults aged 10-24-year-old age group at global, regional, and national levels. Based on the Global Burden of Disease Study 2019, we described the burden of T1D in the 10-24-year-old age group. We further analyzed these trends by age, sex, and the Social Development Index. Joinpoint regression analysis was used to assess temporal trends. T1D incidence among adolescents and young adults increased from 7·78 per 100,000 population (95% UI, 5·27-10·60) in 1990 to 11·07 per 100,000 population (95% UI, 7·42-15·34) in 2019. T1D mortality increased from 5701·19 (95% UI, 4642·70-6444·08) in 1990 to 6,123·04 (95% UI, 5321·82-6887·08) in 2019, representing a 7·40% increase in mortality. The European region had the highest T1D incidence in 2019. Middle-SDI countries exhibited the largest increase in T1D incidence between 1990 and 2019. T1D is a growing health concern globally, and T1D burden more heavily affects countries with low SDI. Specific measures and effective collaboration among countries with different SDIs are required to improve diabetes care in adolescents. We assessed trends in T1D incidence and burden among youth in the 10-24-year-old age group by evaluating data from the Global Burden of Disease Study 2019. Our results demonstrated that global T1D incidence in this age group increased over the past 30 years, with the European region having the highest T1D incidence. Specific measures and effective collaboration among countries with different SDIs are required to improve diabetes care in adolescents.

Hospitalizations for Cardiovascular Diseases Sensitive to Primary Health Care in Paraná State, Brazil: A Bayesian Spatiotemporal Model.

To analyze spatiotemporal trends in hospitalizations for cardiovascular diseases (CVD) sensitive to primary health care (PHC) among individuals aged 50-69 years in Paraná State, Brazil, from 2014 to 2019 and investigate correlations between PHC services and the Social Development Index. We conducted a cross-sectional ecological study using publicly available secondary data to analyze the municipal incidence of hospitalizations for CVD sensitive to PHC and to estimate the risk of hospitalization for this group of diseases and associated factors using hierarchical Bayesian spatiotemporal modeling with Markov chain Monte Carlo simulation. There was a 5% decrease in the average rate of hospitalizations for PHC-sensitive CVD from 2014 to 2019. Regarding standardized hospitalization rate (SHR) according to population size, we found that no large municipality had an SHR >2. Likewise, a minority of these municipalities had SHR values of 1-2 (33%). However, many small and medium-sized municipalities had SHR values >2 (47% and 48%, respectively). A greater Social Development Index value served as a protective factor against hospitalizations, with a relative risk of 0.957 (95% credible interval, 0.929-0.984). The annual risk of hospitalization decreased over time; however, small municipalities had the greatest rates of hospitalization, indicating an increase in health inequity. The inverse association between social development and hospitalizations for CVD sensitive to PHC raises questions about intersectionality in health care.

The trend of AIDS in China: A prediction and comparative analysis with G20 countries based on the Global Burden of Disease Study 2019.

In China, AIDS has become the most severe notifiable infectious disease. The study aimed to analyse and predict the trend of AIDS in China and compared with Group of Twenty (G20) countries. We utilised incidence, mortality or disability-adjusted life years (DALY), age-standardised rates (ASR), average annual percentage changes (AAPC) to estimate the trend via GBD 2019. The Joinpoint regression analysis was applied to identify the most significant years of change. We explored the relationship between AAPC and social development index (SDI) or health care access and quality (HAQ), and predicted trends for the next 20 years. The DALY in G20 increase of 340.42%, and 794.50% in China. The age-standardised DALY rate (ASDR) in G20 was 309.49 (95% uncertainty interval (UI) = 284.69, 350.58) in 2019, with an AAPC of 4.30. Among G20, the United States had the highest DALY in 1990, but it experienced a significant decline. In China, the ASDR was 98.15 (95% UI = 78.78, 119.58) with the 5th AAPC ranking. In term of gender, the incidence, mortality, DALY, and ASR of them in China and G20 were all higher in males. Furthermore, the gender gap in China had been widening. The most significant periods of ASDR increase in China were 1990-1995 and 2013-2016, and 1990-1994 in G20. The prediction for DALY indicated that high SDI countries were expected to exhibit a stable or declining trend, while low SDI countries showed an upward trend. China demonstrated a 57.66% increase in 2040 compared to 2019. AIDS continues to be a significant burden. In China, the ASIR exhibited a decline trend in certain age groups, while the ASMR and ASDR continued to increase, with a widening gender disparity. In addition, according to our predict results, some countries could not achieve the 2030 Agenda for Sustainable Development set by the UNAIDS. Therefore, it is necessary to establish more effective and targeted measures, as well as actively explore new treatment approaches.

ANALYSIS OF LABOR EFFICIENCY USING GEOGRAPHIC INFORMATION TECHNOLOGIES IN ECONOMY (EXAMPLE OF NAMANGAN REGION)

In this article, the theoretical and practical aspects of the use of digital technologies in the analysis of socio-economic development of regions are studied. The trends of social development indicators and dynamics of Namangan region were analyzed using GIS technologies.

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study.

This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.

SOCIODYNAMICS OF SOCIAL ENTREPRENEURSHIP IN UZBEKISTAN AND INTRODUCING THE SOCIAL ENTREPRENEURSHIP DEVELOPMENT INDEX (SED Index) IN COMMUNITIES

Based on sociological researches conducted by the author this article provides a comprehensive analysis of the current state of social entrepreneurship in Uzbekistan, a relatively new and evolving phenomenon within the country. Through a thorough examination of the existing landscape, the author evaluates the level of development, challenges, and opportunities for social entrepreneurship in Uzbekistan. By proposing an algorithmic framework for its future growth and development, the article offers valuable insights and recommendations to foster a flourishing social entrepreneurship ecosystem in Uzbekistan. analyzes some methodologies to quantify the level of social entrepreneurship development within regions, followed by the proposal of a potential Social Entrepreneurship Development Index (SED Index) as an exemplary measurement tool. KEYWORDS: social entrepreneurship, sociodynamics of social entrepreneurship in Uzbekistan, resources for the development of social entrepreneurship, algorithm of developing social entrepreneurship in Uzbekistan, measuring the level of social entrepreneurship development within regions, Social Entrepreneurship Development Index (SED Index)

Global, regional and national burdens of bipolar disorders in adolescents and young adults: a trend analysis from 1990 to 2019

BackgroundBipolar disorder is identified as a cause of severe damage to the physical, psychological and social functioning of adolescents and young adults.AimsThe aim of this study is to ascertain the...

Development and validation of an instrument for measuring civic scientific literacy

Civic scientific literacy (CSL) is a fundamental indicator of social development and national literacy and is very important for personal well-being and national competitiveness. To be in line with the technological advancements and demands of the current era, we focused on “science engagement”, which is now considered an important approach to enhance the CSL of the general public, and developed a 4-dimensional CSL assessment framework based on the crucial elements for citizens to engage in science. The 4 dimensions are scientific knowledge (SK), scientific method (SM), problem-solving (PS), and scientific thought and spirit of science (STSS). With this framework, a CSL measurement instrument including 50 items was developed. Various validity evidence, including evidence with reliability close to or exceeding 0.8 for all four dimensions, supports the use of the instrument to provide a valuation of CSL. Age, location type (urban or rural), educational background, and occupation are all significant factors associated with CSL.

Exposure to particulate matter and ozone, locations of regulatory monitors, and sociodemographic disparities in the city of Rio de Janeiro: Based on local air pollution estimates generated from machine learning models

South America is underrepresented in research on air pollution exposure disparities by sociodemographic factors, although such disparities have been observed in other parts of the world. We investigated whether exposure to and information about air pollution differs by sociodemographic factors in the city of Rio de Janeiro, the second most populous city in Brazil with dense urban areas, for 2012–2017. We developed machine learning-based models to estimate daily levels of O3, PM10, and PM2.5 using high-dimensional datasets from satellite remote sensing, atmospheric and land variables, and land use information. Cross-validations demonstrated good agreement between the estimated levels and measurements from ground-based monitoring stations: overall R2 of 76.8 %, 63.9 %, and 69.1 % for O3, PM2.5, and PM10, respectively. We conducted univariate regression analyses to investigate whether long-term exposure to O3, PM2.5, PM10 and distance to regulatory monitors differs by socioeconomic indicators, the percentages of residents who were children (0-17 years) or age 65+ years in 154 neighborhoods. We also examined the number of days exceeding the Brazilian National Air Quality Standard (BNAQS). Long-term exposures to O3 and PM2.5 were higher in more socially deprived neighborhoods. An interquartile range (IQR) increment of the social development index (SDI) was associated with a 3.6 μg/m3 (95 % confidence interval [CI]: 2.9, 4.4; p-value≤0.001) decrease in O3, and 0.3 μg/m3 (95 % CI: 0.2, 0.5; p-value = 0.010) decrease in PM2.5. An IQR increase in the percentage of residents who are children was associated with a 4.1 μg/m3 (95 % CI: 3.1, 5.0; p-value≤0.001) increase in O3, and 0.4 μg/m3 (95 % CI: 0.3, 0.6; p-value = 0.009) increase in PM2.5. An IQR increase in the percentage of residents age ≥65was associated with a 3.3 μg/m3 (95 % CI: 2.4, 4.3; p-value=<0.001) decrease in O3, and 0.3 μg/m3 (95 % CI: 0.1, 0.5; p-value = 0.058) decrease in PM2.5. There were no apparent associations for PM10. The association for daily O3 levels exceeding the BNAQS daily standard was 0.4 %p–0.8 %p different by the IQR of variables, indicating a 7–15 days difference in the six-year period. The association for daily PM2.5 levels exceeding the BNAQS daily standard showed a 0.7–1.5 %p difference by the IQR, meaning a 13–27 days difference in the period. We did not find statistically significant associations between the distance to monitors and neighborhood characteristics but some indication regarding SDI. We found that O3 levels were higher in neighborhoods situated farther from monitoring stations, suggesting that elevated levels of air pollution may not be routinely measured. Exposure disparity patterns may vary by pollutants, suggesting a complex interplay between environmental and socioeconomic factors in environmental justice.

Influence of Product Innovation on MSME Marketing Performance at the Cooperative and SME Office of South Sulawesi Province

Micro, small, and medium enterprises as a trade sector dominates more than 99% of the Indonesian economy and is capable of becoming a driving force for national and regional development. This study aims to describe the marketing performance of micro, small, and medium enterprises in the trade sector in South Sulawesi. The research is a type of survey research done using a quantitative approach. Survey research explains causal relationships in hypothesis testing, with the intent of: (1) explorative, (2) descriptive, (3) explanation or confirmation, (4) evaluation, (5) prediction, (6) operational research, and (7) development of social indicators. The results of the study describes that the variable performance of marketing of micro enterprises in the trade sector in South Sulawesi is influenced by the product innovation variable. The higher the product innovation carried out by the trade sector of micro, small, and medium enterprises, the higher is the marketing performance.&#x0D; Keywords: product innovation, marketing performance, trade sector MSMEs

Distribuição espacial de arboviroses e sua associação com um índice de desenvolvimento social e o descarte de lixo em São Luís, Maranhão, 2015 a 2019

ABSTRACT Objective: To detect spatial and spatiotemporal clusters of urban arboviruses and to investigate whether the social development index (SDI) and irregular waste disposal are related to the coefficient of urban arboviruses detection in São Luís, state of Maranhão, Brazil. Methods: The confirmed cases of Dengue, Zika and Chikungunya in São Luís, from 2015 to 2019, were georeferenced to the census tract of residence. The Bayesian Conditional Autoregressive regression model was used to identify the association between SDI and irregular waste disposal sites and the coefficient of urban arboviruses detection. Results: The spatial pattern of arboviruses pointed to the predominance of a low-incidence cluster, except 2016. For the years 2015, 2016, 2017, and 2019, an increase of one unit of waste disposal site increased the coefficient of arboviruses detection in 1.25, 1.09, 1.23, and 1.13 cases of arboviruses per 100 thousand inhabitants, respectively. The SDI was not associated with the coefficient of arboviruses detection. Conclusion: In São Luís, spatiotemporal risk clusters for the occurrence of arboviruses and a positive association between the coefficient of arbovirus detection and sites of irregular waste disposal were identified.

A multifunctional synergy development evaluation model of the impact of the cascade reservoir construction sequence on basins

Considering the mass reservoirs construction, it is important to study the cascade reservoir construction sequence, which directly affects the water and sediment resource allocation, ecological environment restoration, and socioeconomic development of the basin. Thus, we constructed an evaluation index system by comprehensively considering the basin water and sediment discharge index, basin ecological and environmental maintenance index, and basin social and economic development index. The evaluation model was established to assess the impact of the cascade reservoir construction sequence on basin multifunctional synergy development index. The model was applied to evaluate the cascade reservoir construction sequence in the Yangtze and Yellow River Basin of China. The results revealed that: (1) The basin water and sediment discharge index, basin social and economic development index, and basin multifunctional synergy development index benefits gradually increased, the basin ecological and environmental maintenance index benefits progressively decreased in the Yangtze and Yellow River Basin. (2) The basin water and sediment discharge index, and basin ecological and environmental maintenance index of the planned cascade reservoir construction sequence ranked top in the Yellow River Basin; the basin water and sediment discharge index, and basin social and economic development index of the planned cascade reservoir construction sequence ranked top in the Yangtze River Basin. (3) The cascade reservoir construction sequence focused more on basin social and economic development index benefits when the level of national economic development was low, and more on basin water and sediment discharge index benefits when it was high. (4) Reservoir capacity and installed capacity were the main factors influencing the cascade reservoir construction sequence in the Yangtze and Yellow River Basin, respectively. These findings provide useful information regarding the cascade reservoir construction sequence.

Spatial distribution of arboviruses and its association with a social development index and the waste disposal in São Luís, state of Maranhão, Brazil, 2015 to 2019

RESUMO Objetivo: Detectar aglomerados espaciais e espaço-temporais de arboviroses urbanas e investigar se o índice desenvolvimento social (IDS) e o descarte irregular de lixo estão relacionados ao coeficiente de detecção das arboviroses urbanas em São Luís, Maranhão. Métodos: Os casos confirmados de dengue, Zika e chikungunya em São Luís, no período de 2015 a 2019, foram georreferenciados para o setor censitário de residência. O modelo de regressão Autorregressivo Condicional Bayesiano foi utilizado para identificar a associação entre o coeficiente de detecção de arboviroses urbanas, IDS e pontos de descarte irregular de lixo. Resultados: O padrão espacial de arboviroses apontou para a predominância de cluster de baixo coeficiente de detecção, exceto em 2016. Para os anos de 2015, 2016, 2017 e 2019, o aumento de uma unidade de ponto de lixo aumenta o coeficiente de detecção de arboviroses em 1,25, 1,09, 1,23 e 1,13 casos de arboviroses por 100 mil habitantes, respectivamente. O IDS não foi associado ao coeficiente de detecção de arboviroses. Conclusão: Em São Luís foram identificados aglomerados espaço-temporais de risco para a ocorrência de arboviroses e a associação positiva entre o coeficiente de detecção de arboviroses e os pontos de descarte irregular de lixo.

Sustainable tourism competitiveness analysis for regional economic enhancement in West Java

Tourism is an economic sector that has a large multiplier effect on other economic activities, so that for certain areas that have tourism economic potential, it is very important to pay attention to and increase the competitiveness of tourism as a source of regional economic growth. This research aims to analyze the competitiveness of tourism in districts/cities in West Java. This research uses explanatory analysis and competitiveness mapping methods to identify superior tourism indicators in districts/cities in West Java. The indicators used in this research include the tourism impact index, human resources index, social development index, price competitiveness index and openness indicator. The results of the analysis found that there are only 4 regions that have superior tourism competitiveness in all indicators, namely Cirebon Regency, Indramayu Regency, Sukabumi City and Bekasi City. Based on the results of the analysis, this research recommends that the West Java Government and Regency/City Governments, apart from maintaining the attractiveness of tourism, also need to pay attention to competitiveness aspects so that it is hoped that tourism development in West Java can pay attention to sustainability aspects

Impact of Digitalization on Global Sustainable Development Across Countries

This study develops an economic development index, a social development index, an environmental sustainability index, and an information and communication technology index to explore the comparison of 34 countries in global sustainable development (GSD) and its promoting indicators, and digitalization. The composite Z-score method is used to create the above-mentioned indexes between 2000 - 2021. The statistical values of these indexes are used to explicate the performance of these countries in all components of sustainable development and digitalization. The correlation coefficients among the mentioned indicators are also estimated to measure associations among them. The regression coefficients of explanatory variables with GSD and digitalization are also estimated using a log-linear regression model. There is reported a high diversity in digitalization, economic development (ED), social development (SD), environmental sustainability (ES), and GSD across countries. GSD is not possible without ED, SD, and ES. Digitalization has a positive impact on sustainable, social, and economic development. Digital technology helps to increase GSD, while GSD seems favorable to increasing digitalization. Digitalization improves as ED, SD, and GSD increase. While digitalization has a negative impact on ES. Green innovation, green and appropriate technologies, green entrepreneurship, and technological advancement would be supportive to increase digitalization and GSD.

Global, regional, and national disease burden and attributable risk factors of HIV/AIDS in older adults aged 70years and above: a trend analysis based on the Global Burden of Disease study 2019.

We aimed to assess the burden and trend of the HIV/AIDS epidemic among older adults over the past three decades at different geographical levels, based on the data collected from the Global Burden of Diseases (GBD) study 2019. This assessment identified the average annual percentage changes (AAPCs) using Joinpoint regression analysis. Globally, the incidence of HIV/AIDS has decreased (AAPC=-3.107); however, the overall prevalence has consistently increased (AAPC=5.557). Additionally, both mortality (AAPC=2.166) and disability-adjusted life years (DALYs; AAPC=2.429) have increased. The highest increasing trends in female HIV/AIDS incidence and prevalence were observed in the Central Asia region. However, for males, these trends were observed in the Oceania region and the high-income Asia Pacific region, respectively. In recent decades, females aged 70-74years had the highest incidence and prevalence, while males aged 70-74years had highest mortality and DALYs in low social development index (SDI) regions. Unsafe sex resulted in 15381.16 deaths, accounting for 90.73% of all HIV/AIDS deaths, and 331140.56 DALYs, accounting for 91.12% of all HIV/AIDS DALYs. The HIV/AIDS disease burden differs by region, age, and sex among older adults. Sexual health education and targeted screening for older adults are recommended.

Study on regional carbon quota allocation at provincial level in China from the perspective of carbon peak

This paper constructs a carbon quota allocation index that takes into account equity, efficiency and ecological construction, and calculates carbon emissions and energy consumption data in important periods based on the expected carbon emission targets and economic and social development indicators of the Chinese government. Based on the calculated carbon emissions, the zero-sum game data Envelopment model (ZSG-DEA) is used to discuss the initial allocation of regional quotas and the optimal carbon quota scheme. The results show that:(1) there is a large gap between the optimal carbon quota and the initial carbon quota allocation in Shandong, Guangdong, Jiangsu and other provinces in 2025, and the implementation of emission reduction measures should be accelerated. (2) By 2030, the final allocation of Beijing, Tianjin, Inner Mongolia, Qinghai, Shanghai, Ningxia, Liaoning and Xinjiang will be positive. The provinces with negative final allocation should carry out the work of carbon peak as soon as possible to avoid increasing the pressure of emission reduction in the future. (3) The central region faces greater pressure of emission reduction, while the western region can accept the transfer of carbon emissions from other regions over time. The research conclusions have important policy implications for establishing a fair and effective carbon quota allocation mechanism, achieving the national total carbon emission control target, stimulating the vitality of the unified carbon market, and promoting regional coordinated emission reduction.

Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis.

to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators. an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with space-time analysis and inclusion of indicators in non-spatial and spatial regression models. The following was performed: overall mortality rate calculation; characterization of the sociodemographic and regional profiles of the death cases by means of descriptive and time analysis; and elaboration of thematic maps. a total of 601,521deaths related to Diabetes Mellitus were recorded in Brazil, representing a mean mortality rate of 29.5/100,000inhabitants. The states of Rio Grande do Norte, Paraíba, Pernambuco, Alagoas and Sergipe, Rio de Janeiro, Paraná and Rio Grande do Sul presented high-high clusters. By using regression models, it was verified that the Gini index (β=11.7) and the Family Health Strategy coverage (β=3.9) were the indicators that most influenced mortality due to Diabetes Mellitus in Brazil. in Brazil, mortality due to Diabetes presents an overall increasing trend, revealing itself as strongly associated with places that have worse social indicators. (1) The time-space pattern of mortality due to Diabetes presents an increasing trend. (2) The Northeast and South regions present high rates of mortality due to Diabetes. (3) Mortality due to Diabetes is associated with worse sociodemographic indicators. (4) A relationship is observed between income, access to health and mortality due toDiabetes.