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Revista de Salud Pública

versión impresa ISSN 0124-0064

Resumen

TARANTINE, Catherine; FALCONAR, Andrew K.I.  y  ROMERO-VIVAS, Claudia M. E.. Evaluation of the National Case Report Form for dengue and timely case notification before the co-circulation of multiple arboviruses in Barranquilla, Colombia. Rev. salud pública [online]. 2018, vol.20, n.6, pp.745-751.  Epub 20-Oct-2020. ISSN 0124-0064.  https://doi.org/10.15446/rsap.v20n6.68957.

Objective

To evaluate the case report forms and times elapsed between the surveillance steps for dengue virus (DENV) infection in a large Colombian city before the emergence of other arbovirus epidemics.

Materials and Methods

The descriptive epidemiology of DENV infection cases was analyzed from 2009 to 2013. The completeness of the case report forms filed at the Primary Units of Data Generation (PUDG) were evaluated, as well as the accuracy and suitability of the tests (PPV: positive predictive value). The average time-lags between each step were then calculated.

Results

There were 7.3, 12.38, 4.66, 6.25 and 29.9 annual cases of dengue infection per 10 000 inhabitants in 2009 to 2013, respectively. In this study, only 57.76% of the cases were classified correctly by the physicians and 26.32% of them were questioned about their home conditions and whether their family/friends had similar symptoms. Patients visited a clinic/hospital on average 4.76 days after developing symptoms and the health system was notified on average 1.75 days later, while 70.6% of them were reported within the one-day target period. There were only minor changes in case reporting times even during a DENV epidemic. Some (12.85%) of the case forms were later modified (average 16.7 days). In the period 2009-2013, the IgM confirmed PPV was 58.60%, while 20 mandatory criteria were absent on more than 25% of the forms.

Conclusions

The system was accurate, simple, flexible, stable and acceptable, but a number of ways are suggested to improve this case detection and reporting system.

Palabras clave : Dengue; disease notification; evaluation (source: MeSH, NLM).

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