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  1. 58241
    “…We carried out a pilot case-control study in order to evaluate ALS risk due to particulate matter with a diameter of ≤10 µm (PM(10)) as a proxy of vehicular traffic exposure. (2) Methods: We recruited ALS patients and controls referred to the Modena Neurology ALS Care Center between 1994 and 2015. Using a geographical information system, we modeled PM(10) concentrations due to traffic emissions at the geocoded residence address at the date of case diagnosis. …”
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  2. 58242
    por Vilar, Santiago, Isom, Daniel G.
    Publicado 2021
    “…Our comprehensive temporal and geographical analyses show two distinct periods with different proteome mutation rates: December 2019 to July 2020 and August to December 2020. …”
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  3. 58243
    “…The study highlights the notable clades and sub-clades with unique mutations, revealing the genetic and geographical relevant post the six-month outbreak of COVID-19. …”
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  4. 58244
    “…The nonmodifiable risk factors were old age, rural residence, certain geographical regions, and having a history of pregnancy termination. …”
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  5. 58245
    “…Overall, we conclude that Predivac-3.0 holds potential to contribute in the understanding of ethnic-level variations of vaccine-induced immune responsiveness and to guide the development of epitope-based next-generation vaccines against emerging pathogens, whose geographic distributions and populations in need of vaccinations are often well-defined for regional epidemics.…”
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  6. 58246
    “…We aimed to examine the changing contribution of NAFLD and MAFLD, stratified by sex, in a well-defined geographical area and highly characterised HCC population between 1990 and 2014. …”
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  7. 58247
    “…The questionnaire had two parts: a) one part with questions on individual characteristics, year in medical school and geographic location of the medical school and b) a second part with twenty-eight statements assessed on a 5-point Likert scale (totally agree, agree, neither agree nor disagree, disagree and totally disagree). …”
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  8. 58248
    “…The challenges of effectively utilizing these datasets are enormous as they are not only large in the size but also stored in geographically distributed repositories in various repositories such as National Center for Biotechnology Information (NCBI), DNA Data Bank of Japan (DDBJ), European Bioinformatics Institute (EBI), and NASA’s GeneLab. …”
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  9. 58249
    “…METHODS AND ANALYSIS: We will include articles with a thematic focus on child marriage from all geographic settings, two decades of research (2000–2019) and in four languages (English, Spanish, French and Portuguese). …”
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  10. 58250
    “…The BCAPS framework comprises five flexible and geographically scalable modules: (1) historic data on fine particulate matter (PM(2.5)) concentrations; (2) historic data on relevant health indicator counts; (3) PM(2.5) forecasts for the upcoming days; (4) a health forecasting model that uses the relationship between (1) and (2) to predict the impacts of (3); and (5) a reporting mechanism. …”
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  11. 58251
  12. 58252
    “…Practice of face mask use was statistically associated with gender (P = 0.03), geographical distribution (P = 0.04), academic majors (P = 0.02), and COVID-19 knowledge (P = 0.01). …”
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  13. 58253
    por Gao, Tai, Shi, Juan
    Publicado 2021
    “…We used the jackknife method and Pearson’s correlation analysis to select the environmental variables that influence the geographic distribution of S. juvencus, which resulted in the inclusion of the monthly average maximum temperature in February, the max temperature of warmest month, monthly average minimum temperature in July, monthly total precipitation in June, precipitation of the driest month, monthly total precipitation in September, and the temperature annual range. …”
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  14. 58254
    “…BACKGROUND: Clinical laboratory reference intervals (RIs) are essential for diagnosing and managing patients in routine clinical care as well as establishing eligibility criteria and defining adverse events in clinical trials, but may vary by age, gender, genetics, nutrition and geographic location. It is, therefore, critical to establish region-specific reference values in order to inform clinical decision-making. …”
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  15. 58255
    “…METHODS: The Women’s Health Initiative (WHI) Strong and Healthy (WHISH) pragmatic trial used a randomized consent design to assign women for whom cardiovascular outcomes were available through WHI data collection (N = 18 985) or linkage to the Centers for Medicare and Medicaid Services (N30 346), to a physical activity intervention or “usual activity” comparison, stratified by ages 68–99 years (in tertiles), U.S. geographic region, and outcomes data source. Women assigned to the intervention could “opt out” after receiving initial physical activity materials. …”
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  16. 58256
    “…Subgroup analyses were conducted according to individual DOACs and different geographic regions. Results: Ten articles involving 148,909 patients with AF were included. …”
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  17. 58257
    “…Covariates included demographic characteristics, monthly income and source, public benefits, health insurance, use of other VA programs for homelessness, comorbidities, and geographic location. Multivariable mixed-effects logistic regression, inverse probability of treatment weighting, and instrumental variable approaches were used. …”
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  18. 58258
    “…However, while CORD-19 appears to have topical coverage biases compared to the expanded sets, the collaboration patterns, especially in terms of team sizes and geographical distributions, are captured very well already in CORD-19 as the raw statistics and trends agree with those from larger datasets.…”
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  19. 58259
    “…OBJECTIVE: To examine the outcomes of adult patients with spontaneous intracranial and subarachnoid hemorrhage diagnosed with comorbid COVID-19 infection in a large, geographically diverse cohort. METHODS: We performed a retrospective analysis using the Vizient Clinical Data Base. …”
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  20. 58260
    “…We use logistic regressions to examine associations between mental health and pandemic-related stressors, structural factors (gender, age), and lifelong protective/risk factors (parent and peer relationship, wealth, long-term health problems, past emotional problems, subjective well-being) measured at younger ages. SETTING: A geographically diverse, poverty-focused sample, also reaching those without mobile phones or internet access. …”
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