Northeast Region Research Articles

Ancient DNA reveals the origin and history of early dogs in northeastern China

Research has suggested that domestic dogs may have undergone simultaneous domestication in both the eastern and western parts of the Eurasian continent. Alternatively, domestication may have originated in the eastern part of Eurasia and subsequently spread westwards. The northeastern region of China, which serves as a link between the expansive Eurasian steppe and the northern regions of China, is of paramount importance for investigating the origin and domestication of dogs. To establish a precise spatiotemporal framework for the genetic history of ancient dogs in China, this study conducted mitochondrial genome analysis on 110 samples obtained from five archaeological sites in the northeastern region of China, spanning from the Neolithic period to the Bronze Age. This study reveals the developmental history of domestic dogs in the Northeast region, emphasizing the close connections between domestic dogs in Northeast China approximately 10,000 to 7000 years ago and ancient domestic dogs from the Siberian Arctic and the Americas. Furthermore, around 6000 years ago, domestic dogs from the Yangtze and Yellow River basins in China gradually spread to Northeast China, leading to the replacement of the original domestic dog haplotypes. These findings provide new insights into the early spread and diffusion of domestic dogs, as well as the origin and domestication of ancient dogs in China, contributing to a more comprehensive understanding of this phenomenon.

Research on Fuzzy Evaluation of Land Environmental Security in Three Provinces of Northeast China

Among the world’s most important three chief black lands, China’s northeast region is a vital hub for the commercial extraction of grain, undertaking the task of grain reserves and special transfers. Utilizing the provincial data of the three northeastern provinces from 2010 to 2021, and using existing documents and records as essential elements, we structured a land security appraisal system with five criterion layers and 21 indicator layers of pressure, state, impact, response, and management. The three provinces in the northeast were evaluated for the security of their land resources using the entropy-dependent weight-TOPSIS pattern. The study findings indicate that: (1) In general, land resource security of the three northeastern provinces shows a pattern of decline followed by a gradual increase from 2012 to 2021, and there is a steady improvement in the level of land’s ecological stability; (2) There are differences in the ecological stability of the soil across cities and provinces, with Heilongjiang Province having the best land security status and Liaoning Province having the worst; (3) The amount of soil erosion in tiny watersheds is the indicator that has the biggest influence on land ecological stability in the three provinces in the northeast; (4) The response layer is the criterion layer that has the strongest correlation with land ecological safety.

Crisis in crisis: Boko Haram violence, orphaned children, and the precariousness in human survival in Northeast Nigeria

ABSTRACT The bulk of research exploring the impacts of Boko Haram-induced crisis in Nigeria’s Northeast region focuses on the country’s social, economic, and political conditions while the understanding on the welfare of vulnerable populations – children living in the conflict-ridden communities is sparse. This study addresses the sparsity by investigating the plights of children who became orphans in the wake of horrific Boko Haram attacks in the region in the mid-2010s. Using a qualitative method, we draw insights from Damaturu, Yobe State, where three hundred and eight (orphaned) children were recruited and interviewed. Based on our analysis of the interview data, we argue that they suffered life-threatening situations – parental fatalities by insurgents, alms begging, hard labour for sustenance, degrading living conditions, sexual exploitation, and recruitment into armed groups for violence. The cumulative effects of the attacks made them unsafe and vulnerable to unconventional coping strategies and delinquency amidst the precarity of decent living in the communities. We provide key research and policy-relevant evidence in advancing the understanding of the predicaments of children in wars and socio-politically precarious environments. Also, we underscore the need for holistic and targeted interventions that include vulnerable children in post-insurgency humanitarian efforts to mitigate their discomfort and improve their living conditions.

Document analysis of adaptive sport opportunities at Division-1 universities in the United States

BackgroundIndividuals with disabilities are less likely to participate in physical activity, with the greatest decline in participation during college years. Despite known health benefits, there are significant barriers that limit sport and exercise participation for students with disabilities, including adaptive access. To our knowledge, there has been no comprehensive review conducted to examine the number of adaptive sport offerings on a collegiate level. ObjectiveAssess the availability of adaptive sport opportunities for students at National Collegiate Athletic Association (NCAA) Division-1 Universities to better understand university-affiliated adaptive sport opportunity for students. MethodsWebsite document analysis was conducted by systematically querying the general homepage, athletics page, and campus recreation websites of each NCAA Division-1 University in the United States (US). Institutional and sport-related characteristics were recorded. ResultsOf the 358 NCAA Division-1 Universities, 20.4 % (73/358) marketed adaptive sport opportunities (recreational, club, and/or intercollegiate), with 3.9 % (11/358) acknowledging intercollegiate adaptive sport programs on their websites. Five percent (6/121) of private institutions, and 28.3 % (67/237) of public institutions reported adaptive sport opportunities. The Northeast region had the fewest number of institutions reporting adaptive sport offerings (4/67, 6.0 %). The most commonly offered sport was adaptive recreation (36/358, 10.2 %), followed by wheelchair basketball (26/358, 7.4 %). ConclusionOver three-quarters of Division-1 Universities in the US lack an online description of adaptive sport opportunity, highlighting the need for expanded resourcing and marketing of adaptive sport at the university level. Future studies are necessary to identify appropriate strategies to effectively promote sport, maximize participation and improve social inclusion.

Management of pediatric pleural empyema: a national survey of pediatric surgeons in Brazil.

To identify how pediatric surgeons manage children with pneumonia and parapneumonic pleural effusion in Brazil. An online cross-sectional survey with 27 questions was applied to pediatric surgeons in Brazil through the Brazilian Association of Pediatric Surgery. The questionnaire had questions about type of treatment, exams, hospital structure, and epidemiological data. A total of 131 respondents completed the questionnaire. The mean age of respondents was 44 ± 11 years, and more than half (51%) had been practicing pediatric surgery for more than 10 years. The majority of respondents (33.6%) reported performing chest drainage and fibrinolysis when facing a case of fibrinopurulent parapneumonic pleural effusion. A preference for video-assisted thoracic surgery instead of chest drainage plus fibrinolysis was noted only in the Northeast region. Chest drainage plus fibrinolysis was the treatment adopted by most of the respondents in this Brazilian sample. There was a preference for large drains; in contrast, smaller drains were preferred by those who perform chest drainage plus fibrinolysis. Respondents would rather change treatment when facing treatment failure or in critically ill children.

Impact of Program Region and Prestige on Industry Supplemental Earnings for Pediatric Orthopedic Surgery Fellowships in the United States: A Retrospective Analysis

Introduction: With the passage of the Physician Payment Sunshine Act, there has been increased transparency regarding the industrial financial relations that physicians have. Orthopedic surgeons have been highly studied in this domain with approximately 50% of all orthopedic surgeons engaging in industrial financial relationships. Furthermore, an increasing number of orthopedic surgeons are seeking fellowship training with pediatric fellowship programs gaining popularity in recent years. The purpose of this study is to evaluate the impact various pediatric orthopedic fellowship programs have on industry earnings and academic productivity. Methods: Pediatric orthopedic fellowship programs were identified via the Orthopedic Society of North America (POSNA) website. Information on individual fellowship programs was obtained from their respective websites. Academic productivity was measured via an aggregate of all employed physicians’ H-index at a specific fellowship as found on the Scopus website. The Open Payments Database (OPD) website was used to assess lifetime industry earnings. Other variables such as Newsweek or Doximity ranking were taken directly from relevant websites. Statistical analysis was performed using a Kruskal–Wallis test with Bonferroni correction and Mann–Whitney U-test. Results: A total of 43 pediatric orthopedic surgery fellowships in the United States were identified with a total of 392 physicians as fellowship faculty. Complete OPD and H-index information were available for 336 of those physicians (85.7%). On average, there were 7.81 ± 5.18 physicians and 1.56 ± 0.93 fellows per program. The mean combined physician H-index was 117.23 ± 122.51, and the mean combined physician lifetime supplemental earnings in dollars was $646,684.37 ± $1,159,507.17. There was no significant relationship between region of pediatric orthopedic fellowship, Newsweek ranking of affiliated hospital, Doximity ranking of affiliated hospital, presence of MBA program, type of program (public, private, mixed), and the lifetime industry earnings or academic productivity of program graduates. Conclusions: Despite the observed lack of statistical significance, there were clear trends observed with fellowship programs in the northeast and west coast regions being the highest earning and fellowship programs with top 10 Newsweek ranking of affiliated hospital having by far the greatest industry earnings. Sample size limitations likely prevented the detection of statistical significance. Future studies should examine if any relation exists when accounting for type of industry payment received and case volume per fellowship program.

Access to Prostate-Specific Antigen Testing and Mortality Among Men With Prostate Cancer

Prostate-specific antigen (PSA) screening for prostate cancer is controversial but may be associated with benefit for certain high-risk groups. To evaluate associations of county-level PSA screening prevalence with prostate cancer outcomes, as well as variation by sociodemographic and clinical factors. This cohort study used data from cancer registries based in 8 US states on Hispanic, non-Hispanic Black, and non-Hispanic White men aged 40 to 99 years who received a diagnosis of prostate cancer between January 1, 2000, and December 31, 2015. Participants were followed up until death or censored after 10 years or December 31, 2018, whichever end point came first. Data were analyzed between September 2023 and January 2024. County-level PSA screening prevalence was estimated using the Behavior Risk Factor Surveillance System survey data from 2004, 2006, 2008, 2010, and 2012 and weighted by population characteristics. Multivariable logistic, Cox proportional hazards regression, and competing risks models were fit to estimate adjusted odds ratios (AOR) and adjusted hazard ratios (AHR) for associations of county-level PSA screening prevalence at diagnosis with advanced stage (regional or distant), as well as all-cause and prostate cancer-specific survival. Of 814 987 men with prostate cancer, the mean (SD) age was 67.3 (9.8) years, 7.8% were Hispanic, 12.2% were non-Hispanic Black, and 80.0% were non-Hispanic White; 17.0% had advanced disease. There were 247 570 deaths over 5 716 703 person-years of follow-up. Men in the highest compared with lowest quintile of county-level PSA screening prevalence at diagnosis had lower odds of advanced vs localized stage (AOR, 0.86; 95% CI, 0.85-0.88), lower all-cause mortality (AHR, 0.86; 95% CI, 0.85-0.87), and lower prostate cancer-specific mortality (AHR, 0.83; 95% CI, 0.81-0.85). Inverse associations between PSA screening prevalence and advanced cancer were strongest among men of Hispanic ethnicity vs other ethnicities (AOR, 0.82; 95% CI, 0.78-0.87), older vs younger men (aged ≥70 years: AOR, 0.77; 95% CI, 0.75-0.79), and those in the Northeast vs other US Census regions (AOR, 0.81; 95% CI, 0.79-0.84). Inverse associations with all-cause mortality were strongest among men of Hispanic ethnicity vs other ethnicities (AHR, 0.82; 95% CI, 0.78-0.85), younger vs older men (AHR, 0.81; 95% CI, 0.77-0.85), those with advanced vs localized disease (AHR, 0.80; 95% CI, 0.78-0.82), and those in the West vs other US Census regions (AHR, 0.89; 95% CI, 0.87-0.90). This population-based cohort study of men with prostate cancer suggests that higher county-level prevalence of PSA screening was associated with lower odds of advanced disease, all-cause mortality, and prostate cancer-specific mortality. Associations varied by age, race and ethnicity, and US Census region.

Comparative Analysis of Nickel Adsorption by Natural Sisal Fiber and Treated with Citric Acid

Introduction: Removing nickel from wastewater is complex and costly, requiring research into alternatives with technical and economic solutions. An alternative would be the use of plant biomass. In the Northeast region of Brazil, one of these alternatives, with a large cultivation area, is sisal (Agave Sisaliana), which may have greater yields for this purpose through surface chemical treatment with citric acid, which inserts carboxylic groups into the structure of the plant fiber. Thus, the objective was to analyze the ability to remove nickel in solution by sisal fibers. Methodology: For this purpose, part of the sisal fibers was cut into 0.5 cm, washed and dried; initially treated with NaOH (0.1 mol/L); washed with distilled water and treated with citric acid (1.2 mol/L). The fibers were identified by FTIR; XRD; XRF and SEM. Adsorption tests were carried out with nickel solution for the parameters: kinetics, balance, influence of pH and adsorbent mass. Results: The XRF analysis demonstrated a greater presence of NiO adhered to the treated fiber (55.74%); FTIR confirmed the presence of non-ionized carbonyl in the region from 1700 to 1750 cm-1; the adsorption kinetic test demonstrated greater effectiveness of the treated fiber > 80%; an ideal adsorbent mass was observed to be 0.1g; the ideal pH for removal was 5.0 while the equilibrium test has the best Languimuir isotherm, the uncontrolled fiber obtained R2 = 0.9810 and the controlled fiber R2 = 0.9643. Conclusion: Therefore, it was observed that the treatment of sisal fiber with citric acid increases the removal efficiency of nickel ion in aqueous solution, presenting itself as a low-cost and widely available material.

INTERVENÇÕES E FUNÇÕES EXECUTIVAS: UMA REVISÃO DE LITERATURA

The objective of this research was to map Brazilian research publications on interventions in executive functions. This is an excerpt from a lato sensu postgraduate course conclusion work. The PRISMA-ScR protocol was used, and the databases consulted in June 2023 were the CAPES Periodicals Portal, the Virtual Health Library (VHL) and the Institute of Education Sciences (ERIC), using the descriptors “Executive Functions” AND “Intervention” in Portuguese and English. 35 articles were selected, which were divided into three thematic axes, based on the reading and similarity of the intervention proposals, namely: interventional research with children and/or adolescents, studies with adult and/or elderly individuals and interventions with individuals with diagnoses in specific clinical conditions. As a result, the largest publication flow occurred between 2019 and 2021, the largest target population was children and the elderly, and the Southeast, South and Northeast regions stood out in relation to the number of publications. The use of technological resources stands out as a powerful tool for the development and rehabilitation of Executive Functions, as well as the practice of physical exercises and multicomponent training, involving physical, cognitive and psychological aspects, at any stage of human development. The identification of the available national scope regarding the topic is relevant for understanding activities and strategies already used and the possibility of new proposals, based on available studies.

Etnomicología y riqueza de macrohongos en comunidades rurales de la región sur de Piauí, Brasil

Background and Aims: Fungi play an important role in ecosystems and in human culture. In the Northeast region of Brazil, little is known about the importance of these organisms in rural communities. The objective of this study was to register the richness of macrofungi and how this richness is perceived in rural communities of Piauí, Brazil.Methods: A total of 176 inhabitants (99 women and 77 men) from the municipalities of Canto do Buriti and Guaribas were interviewed. Semi-structured interviews were used, complemented with an inventory of macrofungi. Samples were collected in eight areas of the two municipalities between December 2016 and February 2018, and the identifications were confirmed by specialists from the Federal University of Pernambuco and the Federal University of Paraíba. The Margalef Richness Index and the PCORD software were used for the analysis of the quantitative data; the qualitative analysis was based on the description of observational records and structured interviews.Key results: Fifty-one species of macrofungi (Basidiomycota and Ascomycota) distributed in six orders, 17 families and 32 genera were identified. Species richness (S=10.4) was considered high in the studied area. Agaricaceae was the most diverse family (18), followed by Polyporaceae (12). Macrofungi are perceived as environmentally important, but with little direct relevance to humans. According to the perception of local populations, some Agaricaceae species represent a risk to health. However, they are also seen as bioindicators for predicting climate change. Pycnoporus sanguineus (Polyporaceae), a species useful for local medicine, was the most cited, while Hexagonia hydnoides (Polyporaceae), Phellinus sp. and Fomitiporia sp. (Hymenochaetaceae) were perceived as parasites of timber plant species.Conclusions: The mycobiota present in the studied municipalities can be considered rich in macrofungal species and the local peoples recognize their presence, especially the presence of Agaricaceae and Polyporaceae.

Oropouche Virus Exposure in Febrile Patients during Chikungunya Virus Introduction in the State of Amapá, Amazon Region, Brazil.

Oropouche orthobunyavirus (OROV) is an arbovirus transmitted by midges that has been involved in outbreaks throughout Central and South America. In Brazil, human cases have been historically concentrated in the northern region of the country. Oropouche fever in humans range from mild clinical signs to rare neurological events, and is considered a neglected tropical disease in Brazil. Due to the clinical similarities to other arboviruses, such as chikungunya and dengue viruses, OROV infections are likely to be underreported. Chikungunya virus (CHIKV) cases in Brazil were first recognized in 2014 in the states of Amapá and Bahia in the north and northeast regions, respectively. Both OROV and CHIKV cause nonspecific symptoms, making clinical diagnosis difficult in a scenario of arbovirus cocirculation. Aiming to investigate OROV transmission during the CHIKV introduction in the state of Amapá located in the Brazilian Amazon, we conducted a retrospective molecular (RT-qPCR) and serological investigation in febrile cases (N = 166) collected between August 2014 and May 2015. All acute serum samples were negative for OROV RNA using RT-qPCR. However, neutralizing antibodies for OROV were detected using a plaque reduction neutralization test (PRNT90) in 10.24% (17/166) of the patients, with neutralizing antibody titers ranging from 20 to ≥640, suggesting the previous exposure of patients to OROV. Regarding CHIKV, recent exposure was confirmed by the detection of CHIKV RNA in 20.25% (33/163) of the patients and by the detection of anti-CHIKV IgM in 28.57% (44/154) of the patients. The additional detection of anti-CHIKV IgG in 12.58% (19/151) of the febrile patients suggests that some individuals had been previously exposed to CHIKV. Whether the OROV exposure reported here occurred prior or during the CHIKV circulation in Amapá, is unknown, but because those arboviral infections share similar clinical signs and symptoms, a silent circulation of enzootic arboviruses during the introduction of exotic arboviruses may occur, and highlights the importance of syndromic cases' surveillance to arboviruses in Brazil.

Ecological Studies and Epidemiological Aspects of Leptospirosis in the Northeast Region of Brazil

Introduction: Leptospirosis, a globally prevalent zoonotic infection, affects approximately one million people annually. Originating from the bacterium Leptospira, it is transmitted through contact with the urine of reservoir animals, such as rodents. In Brazil, it is endemic, especially in the Northeast region, where poor sanitary conditions contribute to its dissemination. The objective of this study is to analyze the main determining factors for the increase in leptospirosis cases in the Northeast region of Brazil, with an emphasis on rainfall patterns and deficiencies in basic sanitation. Methodology: The methodology consisted of a qualitative exploratory-descriptive bibliographic review of articles published between 2014 and 2024 in Portuguese, English, and Spanish. Inclusion criteria were relevance to the topic, while exclusion criteria involved duplicated articles or those that did not highlight the content of interest. The search was conducted in databases such as LILACS, SciELO, and PubMed, using specific descriptors. The analysis involved careful selection and exhaustive reading for the categorization of results. Results and Discussion: Leptospirosis impacts urban and poor areas, with over one million annual cases globally. Factors such as precipitation and disordered urbanization contribute to its spread, especially in tropical regions. Low-income populations are vulnerable due to the lack of basic sanitation. The unequal distribution reflects socio-economic disparities, with densely populated urban areas being more affected. Conclusion: Leptospirosis poses a challenge to public health, especially in regions with poor sanitary conditions. Effective control requires a comprehensive approach, including improvements in sanitation infrastructure, health education, and rodent control.

Pattern Classification of an Onion Crop (Allium Cepa) Field Using Convolutional Neural Network Models

Agriculture is an area that currently benefits from the use of new technologies and techniques, such as artificial intelligence, to improve production in crop fields. Zacatecas is one of the states producing the most onions in the northeast region of Mexico. Identifying and determining vegetation, soil, and humidity zones could help solve problems such as irrigation demands or excesses, identify spaces with different levels of soil homogeneity, and estimate the yield or health of the crop. This study examines the application of artificial intelligence through the use of deep learning, specifically convolutional neural networks, to identify the patterns that can be found in a crop field, in this case, vegetation, soil, and humidity zones. To extract the mentioned patterns, the K-nearest neighbor algorithm was used to pre-process images taken using unmanned aerial vehicles and form a dataset composed of 3672 images of vegetation, soil, and humidity (1224 for each class). A total of six convolutional neural network models were used to identify and classify the patterns, namely Alexnet, DenseNet, VGG16, SqueezeNet, MobileNetV2, and Res-Net18. Each model was evaluated with the following validation metrics: accuracy, F1-score, precision, and recall. The results showed a variation in performance between 90% and almost 100%. Alexnet obtained the highest metrics with an accuracy of 99.92%, while MobileNetV2 had the lowest accuracy of 90.85%. Other models, such as DenseNet, VGG16, SqueezeNet, and ResNet18, showed an accuracy of between 92.02% and 98.78%. Furthermore, our study highlights the importance of adopting artificial intelligence in agriculture, particularly in the management of onion fields in Zacatecas, Mexico. The findings can help farmers and agronomists make more informed and efficient decisions, which can lead to greater production and sustainability in local agriculture.

First year of COVID-19 in Brazil: Factors associated with the spread of COVID-19 in small and large cities.

To test the association between sociodemographic and social characteristics with COVID-19 cases and deaths in small and large Brazilian cities. This ecological study included COVID-19 data available in State Health Secretaries (managed by brasil.io API) and three national databases (IBGE, DATASUS and Embrapa). Temporal spread of COVID-19 in Brazil during the first year considered as outcome: a) days until 1st case in each city since 1st in the country; b) days until 1,000 cases/100,000 inhabitants since 1st case in each city; c) days until 1st death until 50 deaths/100,000 inhabitants. Covariates included geographic region, city social and environmental characteristics, housing conditions, job characteristics, socioeconomic and inequalities characteristics, and health services and coverage. The analysis were stratified by city size into small (<100,000 inhabitants) and large cities (≥100,00 inhabitants). Multiple linear regressions were performed to test associations of all covariates to adjust to potential confounders. In small cities, the first cases were reported after 82.2 days and 1,000 cases/100,000 were reported after 117.8 days, whereas in large cities these milestones were reported after 32.1 and 127.7 days, respectively. For first death, small and large cities took 121.6 and 36.0 days, respectively. However, small cities were associated with more vulnerability factors to first case arrival in 1,000 cases/100,000 inhabitants, first death and 50 deaths/100,000 inhabitants. North and Northeast regions positively associated with faster COVID-19 incidence, whereas South and Southeast were least. Social and built environment characteristics and inequalities were associated with COVID-19 cases spread and mortality incidence in Brazilian cities.

The impact of COVID-19 and missed diagnosis of breast cancer.

1118 Background: To evaluate the impact of COVID-19 pandemic on breast cancer diagnosis based on age, race, and regions within the US. Methods: Data on breast cancer incidence were obtained from the United States Cancer Statistics (USCS) program from 2001-2020. SEER*Stat 8.4.1.2 and Joinpoint regression program 5.0.2 were used to calculate estimated and actual incidence rates per 100,000 females. Rates were age-adjusted as appropriate. We compared actual breast cancer incidence rates in the year 2020 to estimated rates based on trends from 2001-2019 with sub-analyses for age, race, and region. Results: From 2001 to 2019, there were 4,005,763 identified cases of breast cancer in the United States. In 2019, prior to the pandemic, the incidence rate of breast cancer was 162.87 per 100,000 in females in the US. Based on the data from 2001 to 2019, breast cancer increased by 1.32% per year (p&lt;0.001). Using these prior trends, it was expected that the incidence of breast cancer to be 165.02 per 100,000 adults (265,206 total cases) in 2020. However, the reported incidence was only 147.77 per 100,000 (237,471). Thus, there were 10.46% (27,735) less breast cancer cases than expected. The missed diagnosis rate was more pronounced in older age groups with 15.89%, 14.75%, and 13.27% cases missed for the age groups 85+, 80-84, and 70-74 respectively. Based on racial and ethnic groups, we found that Hispanic females had the greatest number of missed cases at 13.04% compared to 12.68%, 10.57%, and 8.94% of Non-Hispanic Asians and Pacific Islander (NHAPI), Non-Hispanic White (NHW), and Non-Hispanic Black (NHB) females respectively. The discrepancy between expected and actual number of cases by U.S. region ranged from the highest in the Northeast (11.90%) followed by 11.83%, 10.60%, and 9.49% in the West, South, and Midwest regions respectively. An intersectionality analysis showed that 40–44-year-old Hispanic females residing in the Midwest region had the largest discrepancy at 27.01%. Conclusions: The reported breast cancer cases significantly declined during the pandemic. Older age, Hispanic race and ethnicity, and those residing in the Northeast region had the greatest number of missing cases. As breast cancer is the most common cancer in the United States, more mitigating factors are needed to improve the access to care for patients in these at-risk groups to improve detection of breast cancer and its associated mortality.

Dynamic evolution and spatial spillover effect of agricultural green development on eight economic regions in China

Promoting the green development of agriculture is of great significance to realize agricultural and rural modernization in China. Based on the existing research, this paper innovatively explores the dynamic and spatial effects of agricultural green development in the eight newly zoned regions of China's economy. Based on the panel data of 30 provinces in China from 2013 to 2022, this paper selects 20 indicators to measure the level of agricultural green development from five dimensions such as ecological protection, resource conservation, environment-friendly, green supply and economic growth by entropy weight method and uses non-parametric estimation method to analyze the dynamic evolution trend of agricultural green development in the whole country and its eight economic regions. Then, a spatial econometric model is constructed to further explore the influence mechanism and spatial spillover effect of each influencing factor on agricultural green development. The findings demonstrate that the level of agricultural green development in 30 provinces of China continuously improved during the study period, but the dynamic evolution trend characteristics in the whole country and its eight economic regions are not the same. Specifically, the development differences between the whole country, the northeast region, the eastern coast, the southern coast and the northwest region increased, while that between the northern coast, the Yellow River basin and the middle reaches of the Yangtze River first increased and then decreased, and that in the southwestern region gradually narrowed. There is a significant spatial spillover effect on agricultural green development and its influencing factors. Moreover, there is heterogeneity in the influence characteristics and spatial spillover effects of various influencing factors on agricultural green development among the eight economic regions. Therefore, it is proposed that eight economic regions in China should formulate differentiated development strategies, focus on educational and technological innovation etc., and further promote agricultural green development.

Non-Hodgkin lymphoma mortality disparities across different sexes, races, and geographic locations.

7063 Background: Non-Hodgkin lymphoma (NHL) is one of the common hematological cancers in the United States (U.S.), accounting for 4% of new cancer cases in 2023. The mortality rate of NHL is the sixth highest among all cancers in the U.S. Our study aimed to examine the trends in NHL mortality and assess the mortality disparities among different sexes, ages, races, geographic locations, and urbanization levels. Methods: Our population-based cross-sectional study analyzed death certificate data from the Centers for Disease Control and Prevention’s Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) U.S. from 1999 to 2020 to determine the longitudinal trends of NHL mortality among the U.S. population aged ≥ 15 years. NHL (ICD-10 C82-85) was listed as the underlying cause of death. Age-adjusted mortality rates (AAMRs) per 100,000 individuals were calculated and joinpoint trend analysis were performed to determine the average annual percent change (AAPC) in AAMR trends. Results: From 1999 to 2020, NHL accounted for 457,143 deaths in the United States, of which 54% are men and 46% are women. Excluding unspecified NHL, there were 132,288 (n=132,288/155,957, 84.8%) B cell NHL deaths and 23,669 (n=23,669/155,957, 15.2%) T cell NHL deaths. Overall, the AAMR of NHL decreased from 10.59 (95% CI, 10.46-10.73) in 1999 to 6.21 (95% CI,6.13-6.30) in 2020 with the AAPC of -2.55 (95% CI, -2.63, -2.46). Men had a higher AAMR than women (10.10 [95% CI, 10.06-10.14] vs. 6.29 [95% CI, 6.27-6.32]). Non-Hispanic Whites recorded the highest AAMR (8.43 [95% CI, 8.40-8.45]), followed by non-Hispanic Blacks (5.71 [95% CI, 5.64-5.77]), Hispanics (6.32 [95% CI, 6.25 - 6.40]), American Indians (5.31 [95% CI, 5.04 - 5.58]), and Asians (5.10 [95% CI, 5.00 - 5.19]). Death from NHL was the most common in patients aged 75 years and above (52.50%), followed by patients aged 55-74 years (37.49%) and patients aged 15-54 years (10.41%). Those who lived in the Midwest region had the highest AAMR (8.60 [95% CI, 8.55-8.65], followed by the Northeast region (7.99 [95% CI, 7.94 - 8.05]), the South region (7.73 [95% CI, 7.70 - 7.77]), and the West region (7.58 [95% CI, 7.54 - 7.63]) . The rural population has a higher AAMR compared to the urban population (8.35 [95% CI, 8.29-8.41] vs. 7.86 [95% CI, 7.83 - 7.88]). Conclusions: NHL mortality has declined over the last two decades. The higher mortality rates existed among men, non-Hispanic White individuals, and the rural population warrant targeted intervention to address the mortality disparities.

Trends in hospice utilization and place of death preferences in multiple myeloma-related deaths from 2003 to 2020: Analysis of CDC Wonder database.

e24039 Background: Multiple myeloma (MM) is an incurable hematological malignancy of plasma cells with high disease-related morbidity and mortality. Modern treatment has revolutionized the care of MM patients. However, a significant proportion of patients will eventually succumb to the disease. Place of Death (POD) is an important determinant of patient and caregiver preference, access to home-based supportive care, and cost of caregiving at EOL. We evaluate trends in POD for patients and hospice utilization with MM in the U.S. from 2003 to 2020. Methods: We analyzed data using the Centers for Disease Control and Prevention WONDER (Wide-Ranging Online Data for Epidemiologic Research) database. The data for deaths due to MM was pooled using the International Classification of Diseases-10th Revision code C 90.0. We included adult patients (age &gt; 18 years), diagnosed with MM during 2003-2020. The demographic data was obtained to calculate descriptive statistics using age, gender, place of death, census region, and utilization of hospice mortality. Annual percentage change (APC) in mortality was calculated using the joinpoint model. Results: There were 205,472 deaths in MM patients in the era 2003-2020, of which 88,245 (42.95%) deaths were in the decedent home and hospice facility (H&amp;H) and107,275 (52.12%) deaths were reported in medical facilities and nursing homes. There was a significant increase in the trend of H&amp;H [29% to 58%, average annual percentage (AAPC) 4.6404, p &lt; 0.001] and a decline in medical facility/nursing home (M&amp;N) deaths [64.9% to 37.7%, AAPC-2.1059, p &lt; 0.001]. When stratified by census regions, all regions in the US depicted significantly increased utilization of H&amp;H (p &lt; 0.001), with the highest H&amp;H utilization in the West region (CENS-R4) of 47.97%, while the highest M&amp;N mortality of 60.4% was observed in North-East region. There is a significant increase in H&amp;H utilization reported in the age group 45-64 years (AAPC 3.544) and age group 65+ (AAPC 5.0277) with p &lt; 0.0001 for both groups. The younger patients (Age &lt; 45) tend to use hospice less, but the number of deaths in the group was small. Furthermore, we saw increased H&amp;H utilization in both genders, with female AAPC at 4.0951 and male AAPC at 5.1393, p &lt; 0.0001 With regards to race, the highest H&amp;H utilization was seen in whites (44.66%), then American Indian or Alaska Native (40.12%), Asian or Pacific Islander (36.76%), and African American (36.05%). However, the trend analysis from 2003-2020 depicts the highest AAPC change in AAPI (8.8409). Conclusions: Over the past two decades, there has been a trend in increased utilization of hospice facilities in end-of-life care among MM patients. However, there is still opportunities to expand its utility especially in the North-East and among African American patients to reduce the psychological and cost of end-of-life care.

Association of neighborhood-level superfund sites with atmospheric toxic exposures and increasing cancer risk in the United States: A proof-of-concept geospatial study.

10577 Background: Decades of underinvestment have disproportionately exposed several neighborhoods in the US to hazardous conditions. Superfund is the name given to the environmental program established by the US Congress in 1980, to address abandoned hazardous waste sites. The extent to which Superfund sites have contributed to differences in cancer risk remains unknown. We investigated atmospheric toxic exposures increasing cancer risk by proximity to Superfund sites at the neighborhood level. Methods: In this cross-sectional study of US neighborhoods, census-tract level air toxic cancer risk data from the Environmental Protection Agency for 2019 were linked with census-tract level geolocation data of ~1300 Superfund sites from the Superfund Enterprise Management System database. Linear regression models were utilized to explore association between cancer risk and proximity to Superfunds. Geographically Weighted Regression models explored spatial non-stationarity by modeling spatial relationships that vary across the study area. Bivariate Local Indicators of Spatial Association (LISA) cluster maps were created for superfund site proximity and cancer risk (high-high, low-low, low-high, high-low). Kruskal-Wallis testing compared the distributions of different variables across the four LISA cluster types. Results: Study explored 82,770 census tracts nationwide. For every 10 percentile increase in Superfund proximity, there was an increase of 4% in cancer risk (p &lt; 0.001). This association was strongest in the Intermountain West, South-Southeast, and Northeast regions. High-high clusters (high proximity to Superfund, high cancer risk) had higher percentage of non-White, low-income, unemployed and lower education attainment populations compared to low-low clusters (all p &lt; 0.001). Within high-high clusters, non-White population had the strongest correlation with proximity to Superfunds. Cancer risk was much higher for the top 10% than the bottom 10% of proximity to Superfunds (Table). Conclusions: Our study highlights higher clustering of cancer risk around neighborhoods with existing Superfund sites. Further, we demonstrate the closer a neighborhood is to a Superfund site, the greater the cancer risk is with associated sociodemographic changes. Using a novel approach to geospatial analytics, the results demonstrate the first clear evidence of a dangerous association between Superfunds and healthcare, and encourage the urgent prioritization of Congressional policies that optimize investment in Superfund site clean up for public health. [Table: see text]

Geminiviridae and Alphasatellitidae Diversity Revealed by Metagenomic Analysis of Susceptible and Tolerant Tomato Cultivars across Distinct Brazilian Biomes.

The diversity of Geminiviridae and Alphasatellitidae species in tomatoes was assessed via high-throughput sequencing of 154 symptomatic foliar samples collected from 2002 to 2017 across seven Brazilian biomes. The first pool (BP1) comprised 73 samples from the North (13), Northeast (36), and South (24) regions. Sixteen begomoviruses and one Topilevirus were detected in BP1. Four begomovirus-like contigs were identified as putative novel species (NS). NS#1 was reported in the semi-arid (Northeast) region and NS#2 and NS#4 in mild subtropical climates (South region), whereas NS#3 was detected in the warm and humid (North) region. The second pool (BP2) comprised 81 samples from Southeast (39) and Central-West (42) regions. Fourteen viruses and subviral agents were detected in BP2, including two topileviruses, a putative novel begomovirus (NS#5), and two alphasatellites occurring in continental highland areas. The five putative novel begomoviruses displayed strict endemic distributions. Conversely, tomato mottle leaf curl virus (a monopartite species) displayed the most widespread distribution occurring across the seven sampled biomes. The overall diversity and frequency of mixed infections were higher in susceptible (16 viruses + alphasatellites) in comparison to tolerant (carrying the Ty-1 or Ty-3 introgressions) samples, which displayed 9 viruses. This complex panorama reinforces the notion that the tomato-associated Geminiviridae diversity is yet underestimated in Neotropical regions.