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  1. 58521
    “…METHODS: This observational trend study was based on the Global Burden of Disease (GBD) 2019 database, the global deaths, and disability-adjusted life years (DALYs), which were calculated to quantify the changing trend of leukemia attributable to occupational risk, were analyzed by age, year, geographical location, and socio-demographic index (SDI), and the corresponding estimated annual percentage change (EAPC) values were calculated. …”
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  2. 58522
    “…Recombination analysis of the BVDV-1v HB-03 strain hinted at the possible occurrence of cross-genotypes (among 1m, 1o, and 1q) and cross-geographical region transmission events. To compare the pathogenic characters and virulence among these BVDV-1 genotypes, newborn calves uninfected with common pathogens were infected intranasally with BVDV isolates. …”
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  3. 58523
    “…BACKGROUND: Human immunodeficiency virus type 1 (HIV-1) epidemic in China is featured by geographical diversity of epidemic patterns. Understanding the characteristics of regional HIV-1 epidemic allows carrying out targeted prevention and controlling measures. …”
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  4. 58524
    “…SIMPLE SUMMARY: The present study provides new molecular data on populations of the freshwater blenny Salariopsis fluviatilis from Italian geographic areas (north-western regions and Sardinia Island) so far never investigated and uses five species delimitation methods in order to shed further light on the Mediterranean phylogeography of this fish and give a more comprehensive scenario of its taxonomic status. …”
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  5. 58525
    “…Next, we quantitatively measured the trade-off intensity and revealed the key influencing factors of the trade-off intensity evolution using automatic linear models, root mean square deviation, and geographically weighted regressions. Subsequently, we further analyzed the impact of the correlation between environmental and socio-economic factors on the trade-off intensity of ecosystem services. …”
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  6. 58526
    “…Individual risk factors have been identified, but place-based factors and specific geographic locality have not been well-studied. The purpose of this study is to predict place-based factors that contribute to the spread of CO-S. aureus in a major urban area using maximum entropy (MaxEnt), a machine learning technique. …”
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  7. 58527
    “…METHODS: A retrospective cross-sectional analysis was conducted using the PHD: a US hospital-based, service-level, all-payer database containing information primarily from geographically diverse communities, teaching hospitals, and health systems. …”
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  8. 58528
    “…HRs were adjusted for age, race/ethnicity, type of insurance coverage, geographical area, BMI, preexisting diabetes, hypertension, parity, time since pregnancy onset and smoking status. …”
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  9. 58529
    “…For example, susceptibility to C/T of isolates collected after 48h ranged from 62.5% for Chile (n=120) to ≥92% for Argentina (n=128) and Brazil (n=183), 12-31 percentage points higher than meropenem and piperacillin/tazobactam. This geographic pattern correlated with estimated carbapenemase rates (36% of isolates collected in Chile 48h post-admission versus ≤4% for Argentina and Brazil). …”
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  10. 58530
    “…IMPORTANCE For a holistic understanding of microbial life’s high-temperature adaptation, it is imperative to explore the biology of the phylogenetic relatives of mesophilic bacteria which get stochastically introduced to geographically and geologically diverse hot spring systems by local geodynamic forces. …”
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  11. 58531
    “…This work suggests that the raw influents contain lower levels of noroviruses and adenoviruses and higher levels of Giardia compared to those reported from other geographic regions. Overall, the efficacy of the removal of microbial targets was over 93% in the final effluent samples, which is consistent with reports from across the world. …”
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  12. 58532
    “…The phylogeny, based on alignment of 2,786 nonhomoplasic single nucleotide polymorphisms (SNPs), showed that the strain population is structured into three clades independently of the cattle breed or geographic distribution. The increased resolution of phylogeny obtained by WGS confirmed the homoplasic nature of the markers variable-number tandem repeat (VNTR) and short sequence repeat (SSR) used for M. avium subsp. paratuberculosis genotyping. …”
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  13. 58533
    “…Reach improved with online delivery as transportation barriers were removed and recruitment from a broader geographic area was enabled. Three themes reflecting key MOC emerged from the analysis: group context, motivation for participant engagement, and the multifaceted nature of the program. …”
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  14. 58534
    “…METHODS: Annual age-standardized disability-adjusted life years (DALYs) and death rates of DALPA [all-cause and five specific causes (ischaemic heart disease, diabetes mellitus, stroke, colon and rectal cancer, and breast cancer)] by sex, age, geographical region and social deprivation index (SDI) score from 1990 to 2019 were available from the Global Burden of Disease (GBD) study 2019. …”
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  15. 58535
    “…It is peculiar how the viral transmission modes among different hosts also change depending on the geographical area for different reasons, including different breeding methods, eating habits and the recently identified genetic traits/molecular features of main virus proteins related to virulence. …”
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  16. 58536
  17. 58537
  18. 58538
  19. 58539
    “…Conclusion: Pediatric biobanks are helpful for providing biological material for research purposes, addressing ethical and legal issues (i.e. data protection, consent, etc.), and providing control samples from healthy children of various ages and from different geographical regions and ethnicities. Therefore, it is vital to encourage and maintain children’s engagement in medical research programs and biobanking activities, especially as children become adults, and reconsent procedures must be applied.…”
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  20. 58540
    “…OBJECTIVES: The aim of this study was to assess geographical and temporal patterns in premature cancer mortality in Brazil between 2001 and 2015 and to predict this to 2030 in order to benchmark against the 3.4 SDG target. …”
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