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Analysis of public consultation events and online public opinion on disease prevention and control in Chengdu, 2017-2023
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Yue CHEN, Lu JING, Gang CHEN
Modern Preventive Medicine | 2024, 51(22) : 4133 - 4139
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Modern Preventive Medicine | 2024, 51(22): 4133-4139
Primary Health Services
Analysis of public consultation events and online public opinion on disease prevention and control in Chengdu, 2017-2023
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Yue CHEN, Lu JING, Gang CHEN
Affiliations
  • Chengdu Center for Disease Control and Prevention, Chengdu 610041, Sichuan, China
Published: 2024-11-25 doi: 10.20043/j.cnki.MPM.202406022
Outline
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Objective

To analyze the data of public consultation events and corresponding online public opinion on disease prevention and control in Chengdu from 2017 to 2023, so as to provide reference for understanding the public’s demand for public health information and reducing the occurrence of adverse public opinion in disease prevention and control and response to emergency public health events.

Methods

Collect information on public consultation events related to Chengdu Center for Disease Control and Prevention from 2017 to 2023, and use Baidu search tool “Baidu Index” to collect public opinion monitoring data during the same period. Statistical analysis was conducted on the distribution of public consultation events and their correlation with the Baidu Index of corresponding keywords using methods such as statistical description, chi square test, and linear correlation.

Results

From 2017 to 2023, a total of 7 253 public consultation incidents were received, with the highest number in 2022 (4 915); 12345 hotline platform calls are the main source, accounting for 58.78% (4 263 cases); The main types of consultations from 2017 to 2019 were vaccination issues; From 2020 to 2023, the consultation related to COVID-19 will account for 90.41% (5 952/6 583), and the questions related to the prevention and control of COVID-19 (χ2=1 092.147, P<0.001) and COVID-19 nucleic acid detection (χ2=45.083, P<0.001) in 2022 have increased respectively compared to 2020-2021; In 2023, the proportion of non-COVID-19 related vaccination issues and disease prevention and control issues will decrease (χ2=459.109, P<0.001) and increase (χ2=13.999, P<0.001) respectively compared with that before COVID-19; Linear correlation analysis showed that the number of questions related to vaccination between the “vaccination” search index (r=0.864, P=0.027), the number of questions related to COVID-19 prevention and control between the “COVID-19” search index (r=0.794, P=0.033) and information index (r=0.872, P=0.010), the number of questions related to COVID-19 vaccination between the “COVID-19 vaccine” search index (r=0.840, P=0.018) and information index (r=0.835, P=0.019), and the number of questions related to COVID-19 nucleic acid detection between the “nucleic acid detection” information index (r=0.972, P<0.001) were positively correlated respectively.

Conclusion

Using public health professional knowledge to answer questions for the public is a targeted form of health education. In daily work, we should pay more attention to public opinion monitoring, understand public needs through multiple channels, strengthen public opinion guidance and risk prediction, continue to carry out publicity and education, and improve public health literacy; When an emergency public health event occurs, it is necessary to promptly disclose the epidemic situation, strengthen prevention and control propaganda and guidance, inform the public of response methods, and continuously optimize prevention and control measures to provide support for disease prevention and control and response to emergency public health events.

Public consultation  /  Disease prevention and control  /  Online public opinion  /  Emergency public health events  /  12345 hotline platform
Yue CHEN, Lu JING, Gang CHEN. Analysis of public consultation events and online public opinion on disease prevention and control in Chengdu, 2017-2023[J]. Modern Preventive Medicine, 2024 , 51 (22) : 4133 -4139 . DOI: 10.20043/j.cnki.MPM.202406022
Year 2024 volume 51 Issue 22
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doi: 10.20043/j.cnki.MPM.202406022
  • Receive Date:2024-06-03
  • Online Date:2026-03-20
  • Published:2024-11-25
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  • Received:2024-06-03
Affiliations
    Chengdu Center for Disease Control and Prevention, Chengdu 610041, Sichuan, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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