Acute Coronary Syndrome ; Humans ; Platelet Aggregation Inhibitors

Timely reporting, effective analyses and rapid distribution of surveillance data can assist in detecting the aberration of disease occurrence and further facilitate a timely response. In China, a new nationwide web-based automated system for outbreak detection and rapid response was developed in 2008. The China Infectious Disease Automated-alert and Response System (CIDARS) was developed by the Chinese Center for Disease Control and Prevention based on the surveillance data from the existing electronic National Notifiable Infectious Diseases Reporting Information System (NIDRIS) started in 2004. NIDRIS greatly improved the timeliness and completeness of data reporting with real time reporting information via the Internet. CIDARS further facilitates the data analysis, aberration detection, signal dissemination, signal response and information communication needed by public health departments across the country. In CIDARS, three aberration detection methods are used to detect the unusual occurrence of 28 notifiable infectious diseases at the county level and to transmit that information either in real-time or on a daily basis. The Internet, computers and mobile phones are used to accomplish rapid signal generation and dissemination, timely reporting and reviewing of the signal response results. CIDARS has been used nationwide since 2008; all Centers for Disease Control and Prevention (CDC) in China at the county, prefecture, provincial and national levels are involved in the system. It assists with early outbreak detection at the local level and prompts reporting of unusual disease occurrences or potential outbreaks to CDCs throughout the country.

OBJECTIVETo analyze the implement performance of China Infectious Diseases Automated-alert and Response System (CIDARS) of 31 provinces in mainland China, and to provide the evidences for further promoting the application and improvement of this system.

METHODSThe amount of signals, response situation and verification outcome of signals related to 32 infectious diseases of 31 provinces in mainland China in CIDARS were investigated from 2011 to 2013, the changes by year on the proportion of responded signals and timeliness of signal response were descriptively analyzed.

RESULTSA total of 960 831 signals were generated nationwide on 32 kinds of infectious diseases in the system, with 98.87% signals (949 936) being responded, and the median (the 25(th) percentile to the 75(th) percentile (P25-P75) ) of time to response was 1.0 (0.4-3.3) h. Among all the signals, 242 355 signals were generated by the fixed-value detection method, the proportion of responded signals was 96.37% (62 349/64 703), 98.75% (68 413/69 282) and 99.37% (107 690/108 370), respectively, and the median (P25-P75) of time to response was 1.3 (0.3-9.7), 0.8(0.2-4.9) and 0.7 (0.2-4.2) h, respectively. After the preliminary data verification, field investigation and laboratory test by local public health staffs, 100 232 cases (41.36%) were finally confirmed.In addition, 718 476 signals were generated by the temporal aberration detection methods, and the average amount of signal per county per week throughout the country were 1.53, and 8 155 signals (1.14%) were verified as suspected outbreaks. During these 3 years, the proportion of signal response was 98.89% (231 149/233 746), 98.90% (254 182/257 015) and 99.31% (226 153/227 715), respectively, and the median (P25-P75) of time to response was 1.1 (0.5-3.3), 1.0 (0.5-2.9) and 1.0 (0.5-2.6) h, respectively.

CONCLUSIONFrom 2011 to 2013, the proportion of responded signals and response timeliness of CIDARS maintained a rather high level, and further presented an increasing trend year by year. But the proportion of signals related to suspected outbreaks should be improved.

China ; Communicable Diseases ; Disease Notification ; Disease Outbreaks ; prevention & control ; Humans ; Population Surveillance ; methods

OBJECTIVETo analyze the information obtained through Internet-based media surveillance in 2013 on domestic public health emergencies and to compare with the related data reported through Chinese Public Health Emergency Management Information System (PHEMIS), and to study the role of Internet-based Media Surveillance Program (IBMSP) in the detection of public health emergencies.

METHODSA descriptive analysis was conducted based on the database of the information on domestic public health emergencies. Information was obtained through the Internet-based media surveillance in 2013.

RESULTSA total of 752 pieces of information regarding domestic public health emergencies in 31 provinces were obtained, through the IBMSP, run by the China CDC in 2013. 53.46% of all the information were categorized as initial ones on public health emergency while another 22.07% were considered as updated ones. 41.62% of the information were related to infectious diseases with another 24.73% to food poisoning. 27.53% of the information were from official websites of governments and professional organizations, with the rest 72.47% were from media. As for corresponding public health emergencies, 41.79% were food poisoning and 18.66% were infectious diseases. 22.39% of them occurred in schools, 18.16% in other organizations and 16.92% in households. 28.86% were reported through Chinese PHEMIS. For the 116 public health emergencies that both related to information obtained through Internet-based media surveillance in 2013 and reported through PHEMIS, the median days of interval between illness onset of the first case as well as reported by media, interval between onset of the first case as well as reported through PHEMIS, were 2.5 days and 2.0 days respectively. 19.83% of the emergencies were first reported by media than through PHEMIS.

CONCLUSIONInternet-based media surveillance programs had become an important way to detect public health emergencies and could serve as the supplement to the classic surveillance programs on public health emergencies.

China ; epidemiology ; Communicable Diseases ; epidemiology ; Databases, Factual ; Emergencies ; Humans ; Internet ; Public Health Surveillance ; methods

OBJECTIVETo establish a comprehensive evaluation index system for the China Public Health Emergency Events Surveillance System (CPHEESS).

METHODSA draft index system was built through literature review and under the consideration of the characteristics on CPHEESS. Delphi method was adapted to determine the final index system.

RESULTSThe index system was divided into primary, secondary and tertiary levels. There were 4 primary indicators: System structure, Network platform, Surveillance implementation reports with Data analysis and utilization. There were 16 secondary and 70 tertiary indicators being set, with System structure including 14 tertiary indicators (accounted for 20.00%), 21 Network platforms (accounted for 30.00%). Twenty-four Surveillance implementation reports (accounted for 34.29%), 11 Data analysis and utilization (accounted for 15.71%). The average score of importance of each indicators was 4.29 (3.77-4.94), with an average coefficient variation as 0.14 (0.12-0.16). The mean Chronbach's α index was 0.84 (0.81-0.89). The adaptability of each related facilities indicator was specified.

CONCLUSIONThe primary indicators were set in accordance with the characteristics and goals of the surveillance systems. Secondary indicators provided key elements in the management and control of the system while the tertiary indicators were available and operative. The agreement rate of experts was high with good validity and reliability. This index system could be used for CPHEESS in future.

China ; epidemiology ; Delphi Technique ; Emergencies ; Forecasting ; Humans ; Public Health Surveillance ; methods ; Reproducibility of Results

OBJECTIVETo investigate the epidemiological characteristics of human infections with avian influenza A (H7N9) in China and to provide scientific evidence for the adjustment of preventive strategy and control measures.

METHODSDemographic and epidemiologic information on human cases were collected from both reported data of field epidemiological investigation and the reporting system for infectious diseases.

RESULTSA total of 433 cases including 163 deaths were reported in mainland China before June 4, 2014. Two obvious epidemic peaks were noticed, in March to April, 2013 and January to February, 2014. Confirmed cases emerged in 14 areas of China. Five provinces, including Zhejiang, Guangdong, Jiangsu, Shanghai, and Hunan, reported about 85% of the total cases. Median age of the confirmed cases was 58 years (range, 1-91), with 70% as males. Of the 418 cases with available data, 87% had ever exposed to live poultry or contaminated environments. 14 clusters were identified but human to human transmission could not be ruled out in 9 clusters.

CONCLUSIONHuman infections with avian influenza A (H7N9) virus showed the characteristics of obvious seasonal distribution, with certain regional clusters. The majority of confirmed cases were among the elderly, with more males seen than the females. Data showed that main source of infection was live poultry and the live poultry market had played a significant role in the transmission of the virus.

Adaptation, Psychological ; Aged ; Animals ; China ; epidemiology ; Demography ; Environmental Pollution ; Female ; Humans ; Influenza A Virus, H7N9 Subtype ; Influenza, Human ; epidemiology ; prevention & control ; transmission ; Male ; Meat ; Poultry ; Research Design