Epidemiologic Methods ; Humans ; Population Surveillance ; Public Health

Environmental Pollutants ; Humans ; Polychlorinated Biphenyls ; Population Surveillance

HIV Infections ; epidemiology ; Humans ; Population Surveillance ; methods ; World Health Organization

OBJECTIVETo explore relationships among several capture-recapture methods to be used in injury studies.

METHODSComparing the method on the estimation number of missed cases with supergeometric distribution and proportional methods and study the relationship between the three methods.

RESULTSResults from estimation method for number of missed cases and supergeometric distribution were identical while the formula of estimation method for number of missed cases could be induced from one of supergeometric distribution formula. The distribution of injured population did not belong to the negative binomial distribution. The estimation range was not the same between proportional method and supergeometric distribution.

CONCLUSIONSEither supergeometric distribution or estimation method for number of missed cases could be chosen, but the former was simple in calculation. Considering the estimating range was not the same between supergeometric distribution and proportional method, conditions for application must be considered during implementation.

China ; epidemiology ; Foodborne Diseases ; epidemiology ; Humans ; Population Surveillance

China ; epidemiology ; Communicable Diseases ; epidemiology ; Humans ; Population Surveillance

Chronic Disease ; prevention & control ; Humans ; Population Surveillance ; methods

China ; Disease Notification ; Online Systems ; Population Surveillance ; methods ; Quality Control

OBJECTIVETo evaluate the abilities of population-based birth defects surveillance system (PBBDSS) and hospital-based birth defects surveillance system(HBBDSS).

METHODSWe used capture-mark-recapture method(CMR) to analyze the data of the two kinds of birth defects surveillance systems from 1 Oct. 2006 to 31 Dec. 2006 in a county of Hunan province. Data from PBBDSS were defined as the first source and data from HBBDSS were defined as the second source.

RESULTS49 and 28 birth defect cases were found from PBBDSS and from HBBDSS respectively. Among these cases, 20 were marked. With the method of CMR, the estimated birth defects cases were 68 (95% CI: 56-70). The coincident rates of PBBDSS and HBBDSS were 72.1% and 41.2%, while the total coincident rates was 83.8% and the coincident rates from different sources was 57.1%. The unreported rates of PBBDSS and HBBDSS were 27.9% and 58.8%.

CONCLUSIONNot only the HBBDSS but also the PBBDSS appeared to have had high unreported rates, suggesting that we could use CMR to adjust the rate of birth defects from the birth defects surveillance data.

Over the past decade, syndromic surveillance, as supplementation of disease surveillance, has provided possibility of early alert in a real-time way for detection of emerging infectious diseases and outbreaks of widespread infectious diseases, resulting in improvement in sensitivity of outbreak detection and public health alert capacity. This tool has been highly valued and widely used in the world, and effective implementation has been observed in China. Upon abundant literature search, the authors reviewed the progress and advance of syndromic surveillance in early alert of emerging infectious diseases and outbreaks, and analyzed the problem met in the current situation in China when implementing syndromic surveillance in local facilities, which are high cost, lack of medical information platform, lack of real-time digital alert system and lack of a comprehensive information exchange platform. The authors suggested that syndromic surveillance should be implemented considering the local situation and performed in a more effective way in the current situation. Syndromic surveillance has to be integrated into the conventional public health surveillance systems and advanced laboratory networks. Digital information system is urgently needed to achieve real-time alert.
China ; Communicable Diseases, Emerging ; Disease Outbreaks ; Humans ; Population Surveillance