RESUMEN
BACKGROUND: Emergency Operations Center (EOC) is a place to provide response to public health emergencies. Chinese Center for Disease Control and Prevention (China CDC)'s EOC was officially established in 2016, which has been the core department for the public health emergencies and risk response. In recent years, we have been continuously improving the function of EOC through many incidents. In the study, we hope to share the construction status, operation management experience of China CDC's EOC and the response process in the human avian influenza A (H7N9) outbreak. MAIN TEXT: The China CDC's EOC mainly focus on building the five core elements including sites/places and facilities, information and data, plans and procedures, training and exercises, and logistics. Based on summarizing previous emergency response, the China CDC's EOC established its own incident management and the standardized response procedures. The event-specific data, context-specific data and event management data could be obtained through various source. The logistics department of the EOC also provides comprehensive support. The well-trained staff is another necessary conditions for its operation. Through sharing the response process of H7N9 outbreak, it further explains the EOC's functions in the five phases of outbreak response, such as the formulation of the incident response framework, monitoring, personnel dispatch and resource mobilization. CONCLUSIONS: The EOC contributes to faster and more efficient responses during emergencies which enable a greater reduction in morbidity and mortality. Compared with the traditional incident response process, under the command and coordination of China CDC's EOC, each group involved in the response has a clearer goal, responsibilities and tasks at each stage. Meanwhile, each group also gave full play to its own expertise and advantages. As a whole, incident response tended to be more specialized and precise, which generally improves the efficiency of incident response. However, different countries and regions have different response processes to the events. We still suggested that appropriate emergency operation plan should be made according to the complexity of incident response in the region when constructing response mechanism, through our experience. And the China CDC's EOC is still at growing and groping phase.
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Planificación en Desastres/organización & administración , Servicios Médicos de Urgencia/normas , Gripe Humana/epidemiología , China/epidemiología , Brotes de Enfermedades , Humanos , Subtipo H7N9 del Virus de la Influenza A/patogenicidad , Gripe Humana/patología , Administración en Salud PúblicaRESUMEN
OBJECTIVE: To investigate molecular characterization of streptococcus pyogenes isolates involved in an outbreak of scarlet fever in China in 2011. METHODS: Seventy-four Streptococcal pyogenes involved in an outbreak of scarlet fever were isolated from pediatric patients in the areas with high incidence in China from May to August of 2011. Emm genotyping, pulsed-field gel electrophoresis (PFGE), superantigen (SAg) genes and antimicrobial susceptibility profiling were analyzed for these isolates. RESULTS: A total of 4 different emm types were identified. Emm12 was the most prevalent type which contained four predominating PFGE patterns corresponding to four different virulence and superantigen profiles. Emm12 (79.7%) and emm1 (14.9%) accounted for approximately 94% of all the isolates. The speA gene was all negative in emm12 isolates and positive in emm1 isolates. All strains were resistant to erythromycin, and 89.4% of them were resistant to erythromycin, tracycline, and clindamycin simultaneously. CONCLUSION: Several highly diversified clones with a high macrolide resistance rate comprise a predominant proportion of circulating strains, though no new emm type was found in this outbreak. The data provide a baseline for further surveillance of scarlet fever, which may contribute to the explanation of the outbreak and development of a GAS vaccine in China.
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Brotes de Enfermedades , Escarlatina/epidemiología , Streptococcus pyogenes/genética , Antibacterianos/administración & dosificación , Antibacterianos/uso terapéutico , Niño , China/epidemiología , Farmacorresistencia Bacteriana , Electroforesis en Gel de Campo Pulsado , Humanos , Incidencia , Epidemiología Molecular , Escarlatina/tratamiento farmacológico , Escarlatina/microbiología , Streptococcus pyogenes/efectos de los fármacos , Streptococcus pyogenes/aislamiento & purificación , Streptococcus pyogenes/patogenicidad , VirulenciaRESUMEN
OBJECTIVE: To analyze the pilot results of both temporal and temporal-spatial models in outbreaks detection in China Infectious Diseases Automated-alert and Response System (CIDARS) to further improve the system. METHODS: The amount of signal, sensitivity, false alarm rate and time to detection regarding these two models of CIDARS, were analyzed from December 6, 2009 to December 5, 2010 in 221 pilot counties of 20 provinces. RESULTS: The sensitivity of these two models was equal (both 98.15%). However, when comparing to the temporal model, the temporal-spatial model had a 59.86% reduction on the signals (15 702) while the false alarm rate of the temporal-spatial model (0.73%) was lower than the temporal model (1.79%), and the time to detection of the temporal-spatial model (0 day) was also 1 day shorter than the temporal model. CONCLUSION: Comparing to the temporal model, the temporal-spatial model of CIDARS seemed to be better performed on outbreak detection.
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Enfermedades Transmisibles/epidemiología , Brotes de Enfermedades , Vigilancia de la Población/métodos , China , Notificación de Enfermedades , Humanos , Modelos Teóricos , Análisis Espacio-TemporalRESUMEN
OBJECTIVE: To analyze the results of application on China Infectious Diseases Automated-alert and Response System (CIDARS) and for further improving the system. METHODS: Amount of signal, proportion of signal responded, time to signal response, manner of signal verification and the outcome of each signal in CIDARS were descriptively analyzed from July 1, 2008 to June 30, 2010. RESULTS: A total of 533 829 signals were generated nationwide on 28 kinds of infectious diseases in the system. 97.13% of the signals had been responded and the median time to response was 1.1 hours. Among them, 2472 signals were generated by the fixed-value detection method which involved 9 kinds of diseases after the preliminary verification, field investigation and laboratory tests. 2202 signals were excluded, and finally 246 cholera cases, 15 plague cases and 9 H5N1 cases as well as 39 outbreaks of cholera were confirmed. 531 357 signals were generated by the other method - the 'moving percentile method' which involved 19 kinds of diseases. The average amount of signal per county per week was 1.65, with 6603 signals (1.24%) preliminarily verified as suspected outbreaks and 1594 outbreaks were finally confirmed by further field investigation. For diseases in CIDARS, the proportion of signals related to suspected outbreaks to all triggered signals showed a positive correlation with the proportion of cases related to outbreaks of all the reported cases (r = 0.963, P < 0.01). CONCLUSION: The signals of CIDARS were responded timely, and the signal could act as a clue for potential outbreaks, which helped enhancing the ability on outbreaks detection for local public health departments.
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Control de Enfermedades Transmisibles , Procesamiento Automatizado de Datos , Vigilancia de la Población , China , Notificación de Enfermedades , Humanos , Salud PúblicaRESUMEN
OBJECTIVE: To compare the different thresholds of 'moving percentile method' for outbreak detection in the China Infectious Diseases Automated-alert and Response System (CIDARS). METHODS: The thresholds of P(50), P(60), P(70), P(80) and P(90) were respectively adopted as the candidates of early warning thresholds on the moving percentile method. Aberration was detected through the reported cases of 19 notifiable infectious diseases nationwide from July 1, 2008 to June 30, 2010. Number of outbreaks and time to detection were recorded and the amount of signals acted as the indicators for determining the optimal threshold of moving percentile method in CIDARS. RESULTS: The optimal threshold for bacillary and amebic dysentery was P(50). For non-cholera infectious diarrhea, dysentery, typhoid and paratyphoid, and epidemic mumps, it was P(60). As for hepatitis A, influenza and rubella, the threshold was P(70), but for epidemic encephalitis B it was P(80). For the following diseases as scarlet fever, typhoid and paratyphoid, hepatitis E, acute hemorrhagic conjunctivitis, malaria, epidemic hemorrhagic fever, meningococcal meningitis, leptospirosis, dengue fever, epidemic endemic typhus, hepatitis C and measles, it was P(90). When adopting the adjusted optimal threshold for 19 infectious diseases respectively, 64 840 (12.20%) signals had a decrease, comparing to the adoption of the former defaulted threshold (P(50)) during the 2 years. However, it did not reduce the number of outbreaks being detected as well as the time to detection, in the two year period. CONCLUSION: The optimal thresholds of moving percentile method for different kinds of diseases were different. Adoption of the right optimal threshold for a specific disease could further optimize the performance of outbreak detection for CIDARS.
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Notificación de Enfermedades/métodos , Brotes de Enfermedades/prevención & control , Vigilancia de la Población/métodos , China , Umbral Diferencial , HumanosRESUMEN
OBJECTIVE: To describe the occupational distribution of staff who worked on detection and reporting on public health emergency events, and to explore the effective strategies for identification and reporting on emergency events. METHODS: We conducted a retrospective survey on 3275 emergent events reported through Public Health Emergency Events Surveillance System from 2005 to the first half of 2006. Data were collected by uniform self-administrated questionnaires by county Centers for Disease Control and Prevention, including information on events detection and reporting, etc. RESULTS: Among event discoverers, 56.40% (1847/3275) were healthcare staff, 20.58% (674/3275) were teachers, and 15.15% (496/3275) were staff from the disease control systems. Among those event reporters, 56.82% (1861/3275) were healthcare staff, 21.77% (713/3275) from disease control system and 10.75% (352/ 3275) were teachers. CONCLUSION: Healthcare staff and teachers played the most important role in detection and reporting on events. It would be favorable to improve the ability of events detection and reporting if we could enhance the training program to the relative staff in medical facilities and school settings especially at the grass root level.
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Notificación de Enfermedades/estadística & datos numéricos , Internet , Vigilancia de la Población , Salud Pública/estadística & datos numéricos , China , HumanosRESUMEN
OBJECTIVE: To understand the changing trend on the way of delivery since 1970s and its related factors that influencing the attitude of choice on Cesarean section (C-section) in women at child-bearing age. METHODS: A face-to-face interview was conducted anonymously in pregnant and lying-in women visited at the out-patient department of Gynecology and Obstetrics, Tiantan Hospital of Beijing. Totally, 415 women at child-bearing age, with a history of previous birth were interviewed on date, place and way of delivery of last birth, as well as on information that could have had impact on the choice of C-section. RESULTS: The average rate of C-section in Tiantan Hospital had been 29% since the year of 2000, much higher than that during 1970s, 1980s and 1990s (chi(2) = 22.81, P = 0.001) which showed an increasing trend. Rate of C-section among lying-in women with native Beijing origin was 25.0%, significantly higher than 9.6% (chi(2) = 21.96, P = 0.000 002) that in the migrants. Lying-in women with education level of high school or above had higher chance to choose C-section than those with lower level of education (chi(2) = 43.64, P < 0.000 01). Workers, managerial staff or clerks had more chance to choose C-section than those with other occupations (chi(2) = 20.07, P = 0.01). As reported by the interviewees, 93% (70/75) of C-section in the hospital were performed and recommended by obstetricians. CONCLUSION: Rate of C-section in the hospital showed an increasing trend which suggested that intervention with health education be carried out for both pregnant women and obstetricians.