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1.
Zhonghua Liu Xing Bing Xue Za Zhi ; 29(10): 1013-6, 2008 Oct.
Artigo em Zh | MEDLINE | ID: mdl-19173885

RESUMO

OBJECTIVE: To study the public health emergent events (PHEE) in Fujian province, from 2004 to 2007. METHODS: Descriptive and analytic methods were used to analyze the PHEE in Fujian province according to the internet-based surveillance reports. RESULTS: From 2004 to 2007, there were 304 emergency events being surveyed. Of all the events, there were 7 (2.30%) belonged to serious-degree of grade II, 57(18.75%) to grade III and 240 (78.95%) to grade IV, but with no grade I. Results showed that the attack rate in affected population was 25.82 per thousand, the mortality rate was 0.08 per thousand and the fatality rate was 0.32%. The numbers of emergency events decreased 2.82% on average, each year. A total number of 169 (55.60%) events occurred in schools with 71 (23.36%) in the countryside. Numbers due to infectious disease-born was 233 (76.64%) including avian flu, cholera and dengue fever were predominant pathogens of the grade II and grade III emergency events. 57 (18.75%) of the events was due to food poisoning. The epi-garph showed that there were two peaks. i.e. in Mar-Apr and Sep, contributed 43.1% to the total number of events. CONCLUSION: Emergency events showed a stable decrease in Fujian province with communicable disease and food poisoning the two major sources and more commonly seen in schools and countryside. We suggest that the government and community pay more attention to the emergency events of avian flu, cholera and dengue fever.


Assuntos
Controle de Doenças Transmissíveis , Emergências/epidemiologia , Prática de Saúde Pública , China/epidemiologia , Cólera/epidemiologia , Dengue/epidemiologia , Doenças Transmitidas por Alimentos/epidemiologia , Humanos , Influenza Humana/epidemiologia
3.
Zhonghua Liu Xing Bing Xue Za Zhi ; 26(9): 694-7, 2005 Sep.
Artigo em Zh | MEDLINE | ID: mdl-16471221

RESUMO

OBJECTIVE: To understand the timeliness of the notifiable communicable diseases surveillance system in Fujian province. METHODS: Database from the internet based communicable diseases reporting system was used. RESULTS: The 50th percentile of time between the disease diagnosed and report recorded in medical faculties was 1 day in 2004 which was 6 days less than that in 2001 - 2003. The timeliness rate of 0 day was 46.46%, a 2.7 times over that in 2001 - 2003. The timeliness of notifiable communicable diseases surveillance system in different administrative areas, reporting units and on different diseases was significantly different. Time between the disease diagnosed and report recorded was the shortest in those cases reported by hospitals and traditional Chinese medicine(TCM) hospitals at the county level and above, with 50th percentile as 0 day, but the timeliness rate of 0 day was 50.76% with 70.04% of the cases were reported from hospitals and TCM hospitals of county level and above. Length between the disease diagnosed and reported was the longest in those cases recorded by Centers for Disease Control and Prevention(CDCs) with the 50th percentile as 3 days. The source of cases recorded by CDCs came from hospitals at the township level, where there was no connection to internet but the reporting cards had to be sent to local CDCs. Time between the disease being diagnosed and reported was 2 days in those cases reported by hospitals at the township level. 21.21% of cases were recorded by hospitals of township level and CDCs. The 50th percentile of time shown between the reported records and confirmed by CDCs was 4 hours The 24 hour timeliness rate was 63.65%. CONCLUSION: The timeliness of the notifiable communicable diseases surveillance system had been improved significantly after the medical personnel recording the cases directly through internet. Timeliness could be further improved through access to internet at the hospitals of township level, training of staff and better hospital management systems.


Assuntos
Doenças Transmissíveis/epidemiologia , Notificação de Doenças/métodos , China/epidemiologia , Bases de Dados Factuais , Hospitais , Internet , Fatores de Tempo
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