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Study on epidem characteristics of varicella and forecasting based on Baidu index, Urumqi, 2015-2023
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Na-na ZHANG1, Kai-lun ZHANG2, Yao-qin LU2, Zulipikaer·Tudi2, Sainawaer·Yilihamu2, Yan-ling ZHENG3
Modern Preventive Medicine | 2024, 51(18) : 3265 - 3270
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Modern Preventive Medicine | 2024, 51(18): 3265-3270
Study on epidem characteristics of varicella and forecasting based on Baidu index, Urumqi, 2015-2023
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Na-na ZHANG1, Kai-lun ZHANG2, Yao-qin LU2, Zulipikaer·Tudi2, Sainawaer·Yilihamu2, Yan-ling ZHENG3
Affiliations
  • School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang 830017, China
Published: 2024-09-25 doi: 10.20043/j.cnki.MPM.202405014
Outline
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Objective

To analyze the epidemiological distribution characteristics of chickenpox in Urumqi City from 2015 to 2023, to construct a prediction model by combining Baidu search keywords, and to explore the complementary application of Baidu index in chickenpox prevention and monitoring.

Methods

Descriptive epidemiological methods were used to analyze the characteristics of varicella case triple distribution in Urumqi City from 2015 to 2023. Chickenpox keywords were identified and a comprehensive Baidu search index was constructed. The models ARIMA and ARIMAX were constructed, the prediction effectiveness of the two models was evaluated by mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE).

Results

The average annual reported incidence rate of varicella in Urumqi was 80.85/100 000, with a higher incidence in men than in women (χ2=1.136, P=0.287), there were statistically significant differences in incidence rates by age group (χ2=7 582.372, P<0.001), seven districts and one county had different average annual incidence rates (χ2=21.496, P<0.001), with the highest in the Toutunhe district (100.54/100 000). ARIMAX(1,1,0)(1,0,0) 52 was selected as the best prediction model (prediction set MAE 12.04%, RMSE 13.80%, MASE 1.18%) with a good fitting effect.

Conclusion

The ARIMAX prediction model established based on the search term Baidu index has a certain degree of predictability and sensitivity, and can predict the epidemic trend of chickenpox in Urumqi in time, which can be used as a technical support and further expansion of the traditional monitoring and early warning system.

Varicella  /  Baidu index  /  ARIMA  /  ARIMAX  /  Model prediction
Na-na ZHANG, Kai-lun ZHANG, Yao-qin LU, Zulipikaer·Tudi, Sainawaer·Yilihamu, Yan-ling ZHENG. Study on epidem characteristics of varicella and forecasting based on Baidu index, Urumqi, 2015-2023[J]. Modern Preventive Medicine, 2024 , 51 (18) : 3265 -3270 . DOI: 10.20043/j.cnki.MPM.202405014
Year 2024 volume 51 Issue 18
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Article Info
doi: 10.20043/j.cnki.MPM.202405014
  • Receive Date:2024-05-03
  • Online Date:2026-03-20
  • Published:2024-09-25
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  • Received:2024-05-03
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    School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang 830017, 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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