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Study on prediction of under five mortality rate in Shenzhen based on ARIMA model and GM (1,1) model
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Man WANG, Wei-kang YANG
Modern Preventive Medicine | 2024, 51(3) : 466 - 470
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Modern Preventive Medicine | 2024, 51(3): 466-470
Child and Adolescent Health, Maternal and Child Health
Study on prediction of under five mortality rate in Shenzhen based on ARIMA model and GM (1,1) model
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Man WANG, Wei-kang YANG
Affiliations
  • Department of Prevention and Health Care, Maternal and Child Health Hospital of Longhua District, Shenzhen, Guangdong 518000, China
Published: 2024-02-10 doi: 10.20043/j.cnki.MPM.202307146
Outline
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Objective

To compare the fitting effect of ARIMA model and grey model (GM) (1,1) in the under five mortality rate(U5MR) in Shenzhen, and to predict the U5MR in Shenzhen in the next 3 years, so as to provide scientific basis for the formulation of child health care plan.

Methods

Taking the U5MR in Shenzhen from 2005 to 2022 as the original data, ARIMA model and GM (1,1) model were constructed to fit the child mortality rate. The mean absolute error (MAE) and mean absolute percentage error (MAPE) were used to compare the fitting effect of the two models.

Results

From 2005 to 2022, the U5MR in Shenzhen showed a downward trend, lower than the national average. The MAE of the constructed ARIMA model and GM (1,1) model was 0.30 and 0.24, respectively, and the MAPE was 11.53% and 8.73%, respectively. The fitting effect of the GM (1,1)model was good. The U5MR in Shenzhen from 2023 to 2025 would be 1.27 ‰, 1.18 ‰, and 1.09 ‰, respectively, predicted by GM (1,1) model.

Conclusion

The fitting effect of GM (1, 1) model on U5MR in Shenzhen is better than that of ARIMA model, and it is predicted that the U5MR in Shenzhen will decrease year by year in the next 3 years.

ARIMA model  /  GM (1,1) model  /  Under 5 mortality rate  /  Prediction
Man WANG, Wei-kang YANG. Study on prediction of under five mortality rate in Shenzhen based on ARIMA model and GM (1,1) model[J]. Modern Preventive Medicine, 2024 , 51 (3) : 466 -470 . DOI: 10.20043/j.cnki.MPM.202307146
Year 2024 volume 51 Issue 3
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Article Info
doi: 10.20043/j.cnki.MPM.202307146
  • Receive Date:2023-07-11
  • Online Date:2026-03-19
  • Published:2024-02-10
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History
  • Received:2023-07-11
Affiliations
    Department of Prevention and Health Care, Maternal and Child Health Hospital of Longhua District, Shenzhen, Guangdong 518000, 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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