Almeida Lesliane Balbino de, Barbosa Maria das Graças Vale, Martinez-Espinosa Flor Ernestina
Universidade do Estado do Amazonas, Manaus, AM.
Rev Soc Bras Med Trop. 2010 May-Jun;43(3):304-8. doi: 10.1590/s0037-86822010000300018.
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.
Authorization to evaluate the data was requested from the Health Surveillance Foundation (FVS).
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.
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.
自2003年起,巴西使用疟疾病例监测流行病学信息系统(SIVEP - 疟疾)来通报疟疾病例。本研究分析了2003年至2006年间10至49岁女性中通报的疟疾病例,根据其是否怀孕进行分类。
向卫生监测基金会(FVS)申请评估数据的授权。
在此期间,共通报了13308例疟疾病例,其中815例(6.1%)为孕妇。孕妇和非孕妇的病例绝对数均呈逐渐下降趋势。就疟原虫种类而言,通报病例中14.3%由恶性疟原虫引起;85%由间日疟原虫引起,两者均有的占0.6%。孕妇中恶性疟原虫感染频率高于非孕妇(p>0.05)。尽管大多数病例居住在城市东部地区,但在39%的病例中,西部地区似乎是感染的可能地点。在所分析的四年中,非孕妇群体在7月和8月出现疟疾流行高峰。
数据表明,SIVEP - 疟疾是确定疟疾病例分布的重要工具,应用于控制该地方病。然而,其运营头四年的数据显示,以怀孕通报字段为例,数据录入失败影响了数据质量。