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Analysis of epidemic characteristics and influencing factors of mumps, Qinghai Province, 2014 - 2023
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Ping DENG1, 2, Jiang LONG3, Jin-hua ZHAO1, 2, Sheng-lin QIN1, Yu-qi JIANG1, Yang ZHANG1
Modern Preventive Medicine | 2025, 52(12) : 2140 - 2145
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Modern Preventive Medicine | 2025, 52(12): 2140-2145
Epidemiology and Statistical Methods Advances
Analysis of epidemic characteristics and influencing factors of mumps, Qinghai Province, 2014 - 2023
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Ping DENG1, 2, Jiang LONG3, Jin-hua ZHAO1, 2, Sheng-lin QIN1, Yu-qi JIANG1, Yang ZHANG1
Affiliations
  • Department of Public Health, Medical College of Qinghai University, Xining, Qinghai 810016, China
Published: 2025-06-25 doi: 10.20043/j.cnki.MPM.202502172
Outline
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Objective

Toanalyze epidemiological characteristics and influencing factors of mumps in Qinghai Province from 2014 to 2023 and provide reference for the prevention and control of mumps.

Methods

The incidence data of Mumps in Qinghai Province from 2014 to 2023 were collected, and the descriptive method was used to analyze the change changing pattern of Mumps incidence. Geographically and temporally weighted regression (GTWR) was established, the mean regression coefficients were calculated, and different factors (Social factors: GDP per capita, number of students in schools; Natural factors: annual average temperature, annual average wind speed, annual total precipitation, annual total sunshine hours) on the incidence of Mumps.

Results

From 2014 to 2023, a total of 14 278 cases of Mumps were reported in Qinghai Province, with an average annual incidence rate of 24.06/100 000, of which the highest in 2019 (65.62/100 000) and the lowest in 2016 (8.28/100 000). The seasonal index showed that Mumps showed a bimodal epidemic trend in winter and summer. The male-to-female sex ratio was 1.2:1, the highest number of cases was found in 5-<15 years old (40.66%) and 15-<25 years old (35.94%); and the occupation was dominated by students (69.15%). The incidence rate was the highest in Xining City (29.29/100 000 people) and the lowest in Yushu Prefecture (8.49/100 000 people). The GTWR model results showed that there were positive associations between annual average temperature, per capita GDP, annual total precipitation and the incidence of Mumps; and negative associations between the number of students in schools, annual average wind speed, and annual total sunshine hours with the incidence rate of Mumps.

Conclusion

The reported incidence of Mumps in Qinghai showed an overall downward trend. Focus on children and students aged 5 to 25 in Xining; social and natural factors have spatial heterogeneity on the incidence of Mumps, and regional prevention and control measures can be formulated in each region according to the actual situation.

Meteorological factors  /  Mumps  /  GTWR model  /  Social factors  /  Spatial and temporal distribution
Ping DENG, Jiang LONG, Jin-hua ZHAO, Sheng-lin QIN, Yu-qi JIANG, Yang ZHANG. Analysis of epidemic characteristics and influencing factors of mumps, Qinghai Province, 2014 - 2023[J]. Modern Preventive Medicine, 2025 , 52 (12) : 2140 -2145 . DOI: 10.20043/j.cnki.MPM.202502172
Year 2025 volume 52 Issue 12
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Article Info
doi: 10.20043/j.cnki.MPM.202502172
  • Receive Date:2025-02-16
  • Online Date:2026-03-19
  • Published:2025-06-25
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  • Received:2025-02-16
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    Department of Public Health, Medical College of Qinghai University, Xining, Qinghai 810016, 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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