Malaria among women aged 10 to 49 years, according to SIVEP-Malaria, Manaus, State of Amazonas, 2003-2006

Introdu????o: O Sistema de Informa????o de Vigil??ncia Epidemiol??gica SIVEP-Mal??ria ?? um sistema de informa????o onde s??o notificados os casos de mal??ria diagnosticados no Brasil, desde 2003. Este estudo analisou os casos de mal??ria notificados em mulheres de 10 a 49 anos de idade, segundo a presen??a ou aus??ncia de gesta????o no per??odo de 2003-2006. M??todos: Foi solicitado ?? Funda????o de Vigil??ncia em Sa??de, a autoriza????o para avalia????o dos dados. Resultados: Foram analisados 13.308 casos notificados no per??odo, sendo 815 (6,1%) registrados em gestantes. Houve diminui????o gradativa do n??mero absoluto de casos entre gestantes e n??o gestantes. Em rela????o ?? esp??cie, 14,3% dos casos notificados foram causadas pelo Plasmodium falciparum; 85% pelo Plasmodium vivax e 0,6% pela associa????o dos dois. A frequ??ncia da infec????o por Plasmodium falciparum foi maior entre gestantes que n??o gestantes (p>0,05). Embora a maior parte dos casos residam na zona leste da cidade, a zona oeste apareceu como o local de prov??vel infec????o em 39% dos casos. Observou-se picos end??micos de mal??ria entre as n??o gestantes nos meses de julho e agosto dos quatro anos analisados. Conclus??es: Os dados mostram que o SIVEP-Mal??ria ?? importante ferramenta para o conhecimento da distribui????o da mal??ria que deve ser usado para controle da endemia. Entretanto, os dados dos primeiros anos de funcionamento tiveram sua qualidade comprometida por falhas no preenchimento, usando o campo de notifica????o gravidez como exemplo.Introduction: The SIVEP-Malaria Epidemiological Surveillance Information System has been in use for notification of malaria cases diagnosed in Brazil since 2003. This study analyzed malaria cases notified among women aged 10 to 49 years between 2003 and 2006, according to the presence or absence of pregnancy. Methods: Authorization to evaluate the data was requested from the Health Surveillance Foundation (FVS). Results: Over this period, 13,308 malaria cases were notified, of which 815 (6.1%) were among pregnant women. There was a gradual decrease in the absolute numbers of cases among pregnant and non-pregnant women. Regarding species, 14.3% of the notified cases were caused by Plasmodium falciparum; 85% by Plasmodium vivax and 0.6 % by both of them. The frequency of Plasmodium falciparum infection was greater among pregnant women than among non-pregnant women (p > 0.05). Although most of the cases lived in the eastern zone of the city, the western zone appeared to be the likely location of infection in 39% of the cases. Endemic peaks of malaria in July and August were observed among the non-pregnant women in all four years analyzed. Conclusions: The data showed that SIVEP-Malaria was an important tool for determining the distribution of malaria cases and that it should be used for controlling the endemic disease. However, the data from its first four years of operation showed that the quality was compromised by data entry failures, using the field of notification of pregnancy as an example