20888 Tool for Analysis of Routine Data for Surveillance of Notification Obligatory Disease. EpiVigila

Monday, August 31, 2009: 3:30 PM
Inman
Marcelo Adaglio, Medical, Doctor , Programa Influenza CDC - CAP, Universidad del Valle. Guatemala, Ciudad de Guatemala, Guatemala
Pedro Osvaldo Rico Cordeiro, Medical, Doctor , Influenza Program, Universidad del Valle, Guatemala, Guatemala
EpiVigila is a tool developed as part of CDC-CAP for strengthening surveillance of mandatory reporting diseases, original strategy that led to the current systems for health surveillance.
This strategy in Central America has multiple databases, which summarizes the information in digital form grouped (by age and sex) on a weekly basis. The lack of tools that provide quick access to data, the auxiliary information to integrate population and that in turn provide reports that identify the basic characteristics of person, time and place and differences between the observed and expected, are some of the causes of underutilization of the epidemiological analysis to fit.

The work has required the cleaning and organization of existing databases and implementation of tools to keep up and offer an efficient access. Facilities have been developed to estimate rates and describe the basic characteristics of person, time and place using graphs and tables
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EpiVigila also integrates and provides methods to identify differences between the observed and expected in the data accumulated in the current week and the last quarter such as epidemic rates, the standardized morbidity ratio with confidence limits or Poisson probability, or graphical methods such as Corredores endemic, the use of methods to identify the trend and seasonality in a series.
Finally there is the opportunity for geo-data in maps that are constructed in a direct and quick with bar charts of this year and in line with the trend of the series used.

 Finally there is the opportunity for geo-data in maps that are constructed in a direct and quick with bar charts of this year and in line with the trend of the series used.

 

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