CDC Mobile Health Communication Impact Ranking
In order to give full play to the role of new media in communication, objectively reflect the network communication effect of disease control agencies at all levels, promote exchanges and learning between industries, promote the construction of the communication power of disease control institutions, promote information openness and transparency, and serve the public to a greater extent. China CDC News releases a monthly ranking of the spread influence of CDC institutions.
Based on WeChat, the ranking list is based on data such as the number of readings, likes, forwards, comments, etc., and with the help of indicators measured by relevant experts, the comprehensive influence of articles, events, and media is scientifically and quantitatively evaluated, and finally evaluates the network communication power of relevant institutions. It contains indicators such as the breadth, depth, speed, acceleration, sensitivity and duration of new media dissemination by disease control agencies at all levels.
1
CdC WeChat TOP20 list
In March 2022, the WeChat influence list of disease control institutions was top 20
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Analysis: The list data shows that @Henan CDC ranked first with an impact index of 3286.7, @Dongguan CDC ranked second with an impact index of 3111.8, and @Changchun CDC ranked third with an impact index of 3067.2.
2
CDC WeChat article TOP20 list
In March 2022, the CDC WeChat article ranking top 20
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Analysis: The articles published by @Shanghai CDC topped the list with an impact index of 5001.0; 6 articles published by @Shenzhen CDC were on the list. In March, netizens mainly paid attention to the latest epidemic developments and related measures in various places, and some netizens paid attention to the content related to tuberculosis prevention and control.
Account collection range
Certified WeChat public account of disease control institutions (except the national and local health 12320 WeChat public account)
Data sources
Zhongqing Huayun
Description of the indicator
Impact Index: Comprehensively evaluate the number of posts, the amount of originality, the amount of comments, the number of forwards, the number of reads, the number of likes and other objective indicators, based on the mathematical theory in machine learning, develop a mathematical model, automatically normalize the dimension, automatically calculate the weight coefficient, and then weighted sum to obtain the final ranking index.
(Source: Center for Health Communication, Chinese Center for Disease Control and Prevention)