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Assessment of data quality

Assessment of data quality. Dr Venanzio Vella , Epidemiologist Key Expert CEEN. Overview of the analysis. Individual data were available from all the regions of the RS , BD, 6 cantons in the Federation (4 provided weekly data) for 2008-11;

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Assessment of data quality

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  1. Assessment of data quality Dr Venanzio Vella, Epidemiologist Key Expert CEEN

  2. Overview of the analysis • Individual data were available from all the regions of the RS, BD, 6 cantons in the Federation (4 provided weekly data) for 2008-11; • The analysis provides an example of what can be done when individual records are available in electronic format; • This includes: data quality, seasonality, outliers.

  3. Diseases’ distribution, 2008-11, BiH

  4. Problems due to absence of case definition

  5. Standardization of case definition

  6. % of cases confirmed by lab

  7. Proportional Distribution, BiH 2008-11

  8. Differential Diagnoses (e.g. Borelliosis) Only 2 cases of borelliosis in FBiH

  9. Age Distribution, BiH 2008-11

  10. Median Age by disease

  11. Timeliness • Time between diagnosis and reporting; • It should be within the first week from the diagnosis;

  12. Seasonality • It is important to take into account weekly and monthly variation to identify cases exceeding the expected seasonal values (outliers); • Two objectives in identifyng outliers: • Check the quality of data • If the outliers are confirmed investigate potential epidemics

  13. Varicella Weekly seasonality, Sarajevo Canton

  14. Salmonella, Monthly Seasonality, Sarajevo Canton

  15. Other Gastrointestinal Infect., Monthly Seasonality, Sarajevo Canton

  16. Other Gastrintest., Municipalities

  17. Data quality check

  18. Opposite Seasonality

  19. Seasonality Varicella, FBiH

  20. Seasonality, Varicella, RS & Brcko

  21. Seasonality Gastrointestinal, FBiH

  22. Seasonality, Gastrointestinal, RS & BD

  23. Influenza, Federation

  24. Influenza RS

  25. Example of epidemics

  26. Evaluation of declining trends Central Bosnia Canton

  27. Evaluation of increasing trends

  28. Conclusions • Individual data set is now available for 2008-11 for all BiH except 4 cantons (weekly data); • Data are not in such bad shape and seasonal values can be estimated for key disease; • This will allow to identify outliers to be corrected (in case of poor quality of data) or to be confirmed and thus decide an investigation

  29. Next steps • Recuperate the individual records from the remaining four cantons of BiH and check if the data before 2008 could be added for RS, FBiH and BD; • Use the past seasonality to identify outliers for the new EWS to systematize the routine data quality check and the identification of epidemics; • Pilot test the database for standardized data entry; • Validate the use of threshold against future epidemics; • Analyse the reasons behind declining or increasing trends (e.g. Brucellosis, TB); • Disaggregate the analysis to the municipality level;

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