90 items found

Tags: Biotechnology Sub-Saharan Africa

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  • dataset

    Demographic data

    **P<0.01; SD, standard deviation; Max/Min, maximal/minimal.The number of participants did not differ between genders (Chi-square P>0.05). The dancer and pianist groups...
  • dataset

    r37980778c78--6fadb9899361b2f3114b32031e85a54a

    Invasive cervical cancer is the most prevalent cancer among women in Sub-Saharan Africa. In 2013, the World Health Organization (WHO) emitted recommendations to start Highly...
  • dataset

    r37980778c78--b427d260efdadde59cd9554c770b4969

    Characteristics of included studies.
  • dataset

    r37980778c78--826791291e3a76b65f96714683b67943

    HIV diagnosis rates by region of birth and exposure, with summary rate ratios, 2006–2015.
  • dataset

    Number of observations collected for urea prices, number of observations of n...

    Number of observations collected for urea prices, number of observations of non-subsidized urea, number of observations after removing outliers (n) and number of observations...
  • dataset

    A look back on how far to walk: Systematic review and meta-analysis of physic...

    ObjectivesTo (i) summarize the methods undertaken to measure physical accessibility as the spatial separation between women and health services, and (ii) establish the extent to...
  • dataset

    r37980778c78--3b2c3a391ef3a957057684404f8296f3

    Rift Valley Fever is an acute zoonotic viral disease caused by Rift Valley Fever virus (RVFV) that affects ruminants and humans in Sub-Saharan Africa and the Arabian Peninsula....
  • dataset

    Sociodemographic characteristics of study participants.

    Sociodemographic characteristics of study participants.
  • dataset

    Baseline Demographic and clinical variables of study participants in relation...

    Baseline Demographic and clinical variables of study participants in relation to ART status.
  • dataset

    r37980778c78--15909fb5c4bb4c54eb20259be497be82

    Predictors of time to ART initiation as determined by Cox proportional regression analysis.
  • dataset

    r37980778c78--cf267a86da4521dbd11a3d97c7a57729

    Study population characteristics.
  • dataset

    r37980778c78--fc1126f54fb114cbcf911ed0bd85c49d

    Associations between psychological distressa and sociodemographic and clinical characteristics among key populations (N = 2044).
  • dataset

    r37980778c78--ef542cc09eac2673764deda3b4e33dc0

    Multivariate linear regression analysis of systolic blood pressure and diastolic blood pressure according to the risk factors (stepwise method).
  • dataset

    r37980778c78--29d807ba3f819c6da80f341d069eaeeb

    EI: Root mean square error (USD kg-1). E0: Mean square error of the Null model. ER: Relative mean square error, calculated as: 1-(EI / E0). EI and E0 are expressed for the...
  • dataset

    r37980778c78--101e4ab28c967948c63fcccdb9540327

    Description of socioeconomic characteristics (n = 414).
  • dataset

    r37980778c78--683301df0393f3613d5f5c13c84bcdb9

    BackgroundIn January 2016, health authorities from Zambézia province, Mozambique reported the detection of some patients presenting with fever, arthralgia, and a positive result...
  • dataset

    Adolescent pregnancy and adverse outcomes for the baby.

    Adolescent pregnancy and adverse outcomes for the baby.
  • dataset

    r37980778c78--64b5eb2585f0a897cc75871ff87cc71d

    Countries and dates of sampling available for the complete sequences of the small, medium, and large segments of RVFV strains across Africa, and Arabian Peninsula.
  • dataset

    r37980778c78--3af8b957fa8fc687274289fb8e19e263

    Characteristics of included studies.
  • dataset

    Demographic and clinical characteristics of participating children (N = 204).

    Demographic and clinical characteristics of participating children (N = 204).