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Preventive measures, health behaviors, environmental exposures, and sociodemographic characteristics affect individual-level cancer risks. It is unclear how they influence neighborhood-level cancer risks. We developed a large-scale neighborhood health dataset for 72,337 census tracts in the United States by combining data from three publicly available sources. We used Bayesian additive regression trees to identify the most important predictors of tract-level cancer prevalence among adults (age ≥18 years), and examined their impact on cancer prevalence using partial dependence plots. The five most important census tract-level correlates of cancer prevalence were the proportion of population who were aged 65 years and older, had routine checkup and were non-Hispanic White, the proportion of houses built before 1960, and the proportion of population living below the poverty line. The identified predictors of neighborhood-level cancer prevalence may inform public health practitioners and policymakers to prioritize the improvement of environmental and neighborhood factors in reducing the cancer burden.As cannabis use is being legalized in an increasing number of states, it is important to understand the changing dynamic of the risk in cannabis use disorder (CUD). [https://www.selleckchem.com/products/ldc195943-imt1.html selleck chemicals llc] Shape-based time-series clustering was used to identify ZIP Code Tabulation Areas (ZCTAs) with similar changing pattern in CUD over time. We conducted a cross-sectional logistic regression analysis to investigate the most recent ZCTA socio-demographic characteristics in relation to the changing CUD rates. The emergency discharge rates generally increased during 2010-2016. Increase during 2017-2019 was found in Sacramento and Santa Barbara County. Approximately 13% of ZCTAs showed an increasing trend of hospitalization discharge during 2017-2019. Males and non-Hispanic Black had larger increase than other groups during 2017-2019. The recent growing trend was found associated with greater racial diversity and rural ZCTAs. The findings from this study hold promise for local public health officials to adjust the cannabis intervention strategies in target districts and improve overall health outcomes.The aim of this study was to provide small area estimations (SAE) of smoking prevalence during pregnancy in South Limburg, the Netherlands. To illustrate improvements in accuracy and precision of estimates compared to traditional frequentist analyses, we used Bayesian inference with the Integrated nested Laplace approximation to account for spatial structures and area-level proxies. Results revealed a heterogenous prevalence of smoking with a range between 6.7% (95% credible interval 4.7,8.7) and 16.7% (14.3,19.2) among municipalities; and an even more heterogenous prevalence among neighbourhoods a range from 0 (-14.9,6.5) to 32.1 (20.3,46.8). Clusters with significant lower- and higher-than-average risk were identified (RR between 0.6-1.4 and 0.0-2.4 for municipality- and neighbourhood-level, respectively). Higher proportion of non-western migrants and lower average income were associated with higher prevalence of tobacco smoking. The obtained estimates should inform local prevention policies, as well as provide methodological example for public health researchers on application of Bayesian methods for SAE.Accurate detection of early COVID-19 cases is crucial to reduce infections and deaths, however, it remains a challenge. Here, we used the results from a seroprevalence study in 50 US states to apply our Retrospective Methodology to Estimate Daily Infections from Deaths (REMEDID) with the aim of analyzing the initial spread of SARS-CoV-2 infections across the US. Our analysis revealed that the virus likely entered the country through California on December 28, 2019, which corresponds to 16 days prior to the officially recognized entry date established by the Centers of Disease Control and Prevention. Furthermore, the REMEDID algorithm provides evidence that SARS-CoV-2 entered, on average, a month earlier than previously reflected in official data for each US state. Collectively, our mathematical modeling provides more accurate estimates of the initial COVID-19 cases in the US, and has the ability to be extrapolated to other countries and used to retrospectively track the progress of the pandemic. The use of approaches such as REMEDID are highly recommended to better understand the early stages of an outbreak, which will enable health authorities to improve mitigation and preventive measures in the future.<br />Childhood cancers are among the leading causes of child mortality worldwide. We aimed to analyze the spatiotemporal incidence patterns of five common cancer types in Iran.<br />A total of 17155 incident malignant 0-14 years old cases during 2005-2013 recorded by the Iran National Cancer Registry were included. An adaptive spatiotemporal smoothing model was applied to explore spatiotemporal variations of the age-standardized incidence rate (ASIR).<br />The highest overall ASIR was estimated at 137.9 per million person-years in 2011-2013. Most of the five common cancers had an increasing trend in most provinces for both males and females during this time.<br />Increasing ASIR and risk of cancers were observed during the study period, which follows the trend of childhood cancers incidence worldwide. The health system should take this rise as a serious alarm and provide appropriate prevention plans.<br />Increasing ASIR and risk of cancers were observed during the study period, which follows the trend of childhood cancers incidence worldwide. The health system should take this rise as a serious alarm and provide appropriate prevention plans.A survey is typically designed to produce reliable estimates of target variables of the population at national and regional levels. For unplanned zones with small sample sizes, reliable estimates are needed in many ways. Because of the small sample sizes, direct survey estimates for unplanned zones are unreliable. This paper aims to improve the precision of estimates of undernutrition at zonal levels using small area estimation under the spatial Fay-Herriot (FH) model. Diagnostic measures are used to determine the reliability of spatial FH model assumptions and model-based spatial estimates. According to the results, model-based small area estimates under spatial association had higher precision than direct estimates and FH models that ignored spatial information. The spatial small area estimates of undernutrition were unevenly distributed across Ethiopian zones. Undernutrition estimates for children under five at the zonal level can be helpful for resource allocation, policymakers, and planners.We examined whether race/ethnic-specific social cohesion is associated with race/ethnic-specific HIV diagnosis rates using Bayesian space-time zero-inflated Poisson multivariable models, across 376 Census tracts. Social cohesion data were from the Southeastern Pennsylvania Household Health Survey, 2008-2015 and late HIV diagnosis data from eHARS system, 2009-2016. Areas where trust in neighbors reported by Black/African Americans was medium (compared to low) had lower rates of late HIV diagnosis among Black/African Americans (Relative Risk (RR)=0.52, 95% credible interval (CrI)= 0.34, 0.80). In contrast, areas where trust in neighbors reported by Black/African Americans were highest had lower late HIV diagnosis rates among Whites (RR=0.35, 95% CrI= 0.16, 0.76). Race/ethnic-specific differences in social cohesion may have implications for designing interventions aimed at modifying area-level social factors to reduce racial disparities in late HIV diagnosis.Detection of serum embryonic miRNAs miR-371a-3p and miR-372-3p has been proposed to aid in diagnosis, prognosis, and management of patients with testicular germ cell tumors (GCTs). This study describes the analytical validation and performance of a laboratory-developed test to detect these miRNA targets by stem loop real-time quantitative RT-PCR (RT-qPCR) in serum from patients with GCTs. The assay was standardized using an exogenous spike-in control of nonhuman miRNA from Caenorhabditis elegans (cel-miR-39-3p) to assess extraction efficiency, and an endogenous housekeeping miRNA, miR-30b-5p, to control for miRNA normalization. miRNA results were expressed as relative expression level, using the comparative threshold cycle method (2ΔΔCT). Analytical sensitivity of miR-371a-3p and miR-372-3p was 12.5 and 1.25 copies/μL, respectively. Clinical accuracy was evaluated using GCT patients with (n = 34) and without (n = 17) active disease. Positive/negative cutoffs and indeterminate findings were established on the basis of results from healthy volunteers (n = 25) and assay precision. miR-371a-3p and miR-372-3p exhibited a sensitivity of 81.8% and 87.5%, respectively, and a specificity of 100% and 94%, respectively, and an area under the receiver operating characteristic curve of 0.93 and 0.95, respectively. Taken together, RT-qPCR testing for serum miR-371a-3p and miR-372-3p represents a robust, sensitive, and specific clinical assay to aid in the clinical management of patients with GCT.As people age they are at increased risk of cardiovascular disease, the leading cause of mortality and morbidity worldwide. Understanding cardiovascular ageing is essential to preserving healthy ageing and preventing serious health outcomes. This collection of papers published in Age and Ageing since 2011 cover key themes in cardiovascular ageing, with a separate collection on stroke and atrial fibrillation planned. Treating high blood pressure remains important as people age and reduces strokes and heart attacks. That said, a more personalised approach to blood pressure may be even more important as people age to lower blood pressure to tight targets where appropriate but avoid overtreatment in vulnerable groups. As people age, more people experience blood pressure drops on standing (orthostatic hypotension), particularly as they become frail. This can predispose them to falls. The papers in this collection provide an insight into blood pressure and orthostatic hypotension. They highlight areas for further research to understand blood pressure changes and management in the ageing population. Inpatient clinical care of older people with heart attacks differs from younger people in UK national audit data. People aged over 80 had improved outcomes in survival after heart attack over time, but had lower rates of specialist input from cardiology compared with younger people. This may partly reflect different clinical presentations, with heart attacks occurring in the context of other health conditions, frailty and multimorbidity. The care and outcomes of acute and chronic cardiovascular disease are impacted by the frailty and health status of an individual at baseline. The research included in this collection reinforces the wide variations in the ageing population and the necessity to focus on the individual needs and priorities, and provide a person-centred multidisciplinary approach to care.POEMS syndrome is a rare multisystem paraneoplastic disorder due to an underlying low-level plasma cell dyscrasia. Due to its rarity, there are limited data to guide treatment and there are no consensus guidelines. Therapy choices are dictated by patient characteristics, disease factors and local funding arrangements. The goals of therapy are to eradicate the underlying clone in order to improve quality of life and overall survival. Most evidence has been garnered in the front-line setting. Localised disease responds well to radiotherapy, whilst for those with systemic disease, the best outcomes are demonstrated with induction chemotherapy followed up with high-dose melphalan and stem cell rescue if eligible. For transplant-ineligible patients lenalidomide-dexamethasone remains a preferred treatment option. Data in the relapse setting are scarce. Supportive care including management of neuropathy, endocrinopathy, thrombotic risk and anti-infective agents is necessary. Future international collaboration is crucial to define optimal treatment strategies particularly in the relapse setting.