Mostrando 59,281 - 59,300 Resultados de 61,287 Para Buscar '"geographer"', tiempo de consulta: 0.62s Limitar resultados
  1. 59281
  2. 59282
  3. 59283
    “…CONCLUSIONS: We document the dynamic population genetic history of a cosmopolitan dipteran of South American origin shaped by striking geographic patterns. These reflect both ancient dispersal routes, and stochastic and heterogeneous anthropogenic introductions during the last century leading to pronounced diversification of worldwide structure of H. illucens. …”
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  4. 59284
    “…From all countries, women from Dominican Republic had lower perceived social support levels and this may influence attendance at post-partum care for this subgroup. Societal and geographic factors can act as determinants when evaluating perceived social support during pregnancy. …”
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  5. 59285
    “…METHODS: We obtained weekly mortality time series due to all causes for Mexico, and by gender, and geographic region from 2015 to 2020. We also compiled surveillance data on COVID-19 cases and deaths to assess the timing and intensity of the pandemic and assembled weekly series of the proportion of tweets about ‘death’ from Mexico to assess the correlation between people’s media interaction about ‘death’ and the rise in pandemic deaths. …”
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  6. 59286
    “…Males were more affected by RR-TB than females (4.9 vs. 2.7/100,000, p ≤ 0.01). Geographically, Northern Uganda was the most affected region (IR = 6.9/100,000) followed by the Central region (IR = 5.01/100,000). …”
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  7. 59287
  8. 59288
    por Delli Ponti, Riccardo, Mutwil, Marek
    Publicado 2021
    “…We also used structural data to study the geographical distribution of DENV, finding a significant difference between DENV-3 from Asia and South-America, where the structure is also driving the clustering more than sequence identity, which could imply different evolutionary routes of this subtype. …”
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  9. 59289
    “…Measurement tools, sampling and data collection methods, gap areas (geographical, topical and contextual), and indicators were catalogued for easy access in an interactive Tableau dashboard. …”
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  10. 59290
  11. 59291
    por Liu, Li, Wang, Zhen, Su, Yingjuan, Wang, Ting
    Publicado 2021
    “…Genetic structure analyses indicated that each distribution region contains a distinct genetic group, with high genetic differentiation among them due to geographical isolation and local adaptation. We used F(ST) outlier, redundancy analysis, and latent factor mixed model methods to detect molecular signatures of local adaptation. …”
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  12. 59292
    “…The purpose of this study was to couple these statistical models with a Geographic Information System (GIS) to produce dynamic maps of the distribution of Culicoides throughout the island. …”
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  13. 59293
    “…Of the sacral, S2 level was the most common (46.7% [95% CI 29.4–60.5]). Geographically, the highest incidence was found in Europe (6.07% [95% CI 1.49–13.00]), followed by North America (3.82% [95% CI 0.49–9.44]), and Asia (3.33% [95% CI 1.52–5.75]). …”
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  14. 59294
    “…Water bodies and aquatic vegetation were identified in the imagery using manual methods and geographical object-based image analysis (GeoOBIA) and the performances of the classifications were compared. …”
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  15. 59295
    “…BACKGROUND: As a country with one-fifth of the global population, China has experienced explosive growth in ischaemic stroke (IS) burden with significant ethnic and geographic disparities. The aim of this study was to examine the differences in potentially modifiable risk factors for ischaemic stroke among the Han population and two ethnic minorities (Tujia and Miao). …”
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  16. 59296
  17. 59297
  18. 59298
    “…All survey locations were georeferenced and associated environmental and geographical characteristics (e.g. elevation, normalized difference vegetation index, soil properties, wealth index, and climatic data) were described using descriptive statistics and meta-analysis. …”
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  19. 59299
    “…CONCLUSIONS: BDNs provide a more flexible modelling framework than GLMs and may have a better predictive performance when developing malaria prevalence maps due to the multiple interacting factors that drive malaria prevalence in different geographical areas. When developing malaria prevalence maps, BDNs may be particularly useful in predicting prevalence where spatial variation in climate and environmental drivers of malaria transmission exists, as is the case in Papua New Guinea.…”
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  20. 59300
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