11 items found

Tags: 110309 Infectious Diseases Catalonia

Filter Results
  • dataset

    Real-time predictive seasonal influenza model in Catalonia, Spain

    Influenza surveillance is critical to monitoring the situation during epidemic seasons and predictive mathematic models may aid the early detection of epidemic patterns. The...
  • dataset

    r37980778c78--fc46902a31354d1387569f79b1e9600b

    Percentage of patients discharged, transferred or deceased in hospitals, ER and extended care facilities.
  • dataset

    Socio-demographic characteristics of the sample.

    a Monthly Income in Brazilian Real Socio-demographic characteristics of the sample.
  • dataset

    Confidence interval success rate (CISR) and intensity level success rate (ILS...

    Confidence interval success rate (CISR) and intensity level success rate (ILSR) for prediction rates one (T+1) and two (T+2) weeks previously for the seven regions. Season...
  • dataset

    Ecological and Forest Inventory of Catalonia: Complete Plant Trait Dataset fo...

    Plant trait and forest data were retrieved from the Ecological and Forest Inventory of Catalonia (IEFC), carried out between 1988 and 1998 (Gracia et al. 2000‒2004). The subset...
  • dataset

    r37980778c78--fd7063d6fcc3270e5300a880c8b3a3c4

    Percentage of patients admitted for scheduled and urgent situations related to ALS in hospitals, ER and primary care.
  • dataset

    Data files from Regos et al. (2018)

    These data files include the environmental suitability predicted from the SESAM framework for each bird species, under each run simulation and management scenario. It also...
  • dataset

    r37980778c78--8fd2f1bf42ace321f6ba844109c79622

    Direct medical costs associated to patients’ use of healthcare resources (2007–2017) based on mean costs established by the regional government.
  • dataset

    r37980778c78--6736266ed1a642230a4e2c688c99344b

    Intensity level success rate (percentage) for prediction rates one (T+1) and two (T+2) weeks previously for each intensity level.