WANG Xiao-li, WANG Quan-yi, GONG Zhen-yu, LIN Jun-fen, et al., . Investigation on the status of internet-based reporting data analysis of infectious diseases in local centers for diseases control and prevention (CDCs)[J]. Disease Surveillance, 2007, 22(9): 639-641. DOI: 10.3784/j.issn.1003-9961.2007.9.639
Citation: WANG Xiao-li, WANG Quan-yi, GONG Zhen-yu, LIN Jun-fen, et al., . Investigation on the status of internet-based reporting data analysis of infectious diseases in local centers for diseases control and prevention (CDCs)[J]. Disease Surveillance, 2007, 22(9): 639-641. DOI: 10.3784/j.issn.1003-9961.2007.9.639

Investigation on the status of internet-based reporting data analysis of infectious diseases in local centers for diseases control and prevention (CDCs)

  • Objective The study was made to investigate the status and its determinants of data analysis on diseases reporting information system in local CDCs. Methods Persons related to internet-based data in Beijing City and Zhejiang Province were interviewed by a self-designed questionnaire. Results A total of 55.2%(472/855)of the respondents considered that data was poorly analyzed in local CDCs. Only 24.2%(211/871) had used data to predict or forecast the trend of infectious diseases. 92.7% of the participants reported having used Excel software to analyze internet-based data, followed by SPSS software. However, SAS, Stata and EPI info being seldom used, the using rate was less than 20%. Among the respondents, 48.2% had never learned the professional statistical skills. Academic and the statistical knowledge were shown as influential factors(OR=4.382, 3.757 respectively) of data analysis in a multiple-factor regression analysis. Conclusion Statistical skills of personnel responsible for surveillance of infectious disease in local CDCs are relatively low.
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