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Epidemiological characteristics analysis of malaria, Suzhou City, 2005-2024
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Jiang-chun QIN, Jing-zhi WU, Jing ZHOU, Xiu-zhen WU, Jing SU, Ling-e SHEN, Qian-wen SHI
Modern Preventive Medicine | 2026, 53(8) : 1377 - 1380
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Modern Preventive Medicine | 2026, 53(8): 1377-1380
• Epidemiology and Statistical Methods Advances •
Epidemiological characteristics analysis of malaria, Suzhou City, 2005-2024
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Jiang-chun QIN, Jing-zhi WU, Jing ZHOU, Xiu-zhen WU, Jing SU, Ling-e SHEN, Qian-wen SHI
Affiliations
  • Suzhou Center for Disease Control and Prevention, Suzhou, Jiangsu 215000, China
Published: 2026-04-25 doi: 10.20043/j.cnki.MPM.202509474
Outline
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Objective

In order to better understand the current situation of malaria epidemic in Suzhou and provide scientific basis for formulating targeted strategies and measures to prevent the re transmission of malaria.

Methods

Statistical description of the prevalence and distribution characteristics of malaria cases reported in Suzhou City from 2005 to 2024, the comparison of rates or proportions was performed using the chi-square test or Fisher's exact test.

Results

From 2005 to 2024, a total of 629 cases of malaria were reported in the city, including 456 domestic cases and 173 imported cases from abroad; Before 2011, the case reports were mainly domestic cases, and since 2012, all case reports have been imported cases from abroad and no secondary cases have occurred. The peak of domestic cases is concentrated from July to October in summer, while the seasonal characteristics of imported cases are not obvious, and the difference is statistically significant (χ2=110.335, P<0.05). The top three regions with the highest number of domestic cases are Kunshan, Changshu, and Gusu, while the top three regions with the highest number of imported cases are Zhangjiagang, Gusu, and Xiangcheng. The distribution differences between regions are statistically significant (χ2=144.831, P<0.05). The gender ratio of domestic cases is 1.49: 1, and the age of patients is mainly concentrated between 20-59 years old. There is no statistically significant difference in the gender ratio between patients in different age groups (0-19 years old, 20-39 years old, 40-59 years old, ≥60 years old, the same below)(χ2=2.044, P>0.05); The gender ratio of imported cases is 20.6: 1, and the age distribution is mainly concentrated between 20-59 years old. The number of male patients in each age group is higher than that of females, and the proportion of male patients in the 40-59 age group is the highest (98.77%), which is statistically significant compared with other age groups (χ2=9.918, P<0.05). The main categories of domestic case populations are migrant workers, laborers, and farmers; The main categories of imported cases are workers, farmers, domestic workers and unemployed individuals, and commercial services. The main species composition of domestic cases is Plasmodium vivax (379/456); The main species composition of imported cases is Plasmodium falciparum (125/173). The vast majority of imported cases come from African countries.

Conclusion

Although malaria has been eliminated in Suzhou, imported cases from abroad continue to occur sporadically, we should improve the diagnosis and treatment level of cases, strengthen epidemic monitoring and case management, and enhance the self-protection awareness of key populations against malaria.

Malaria  /  Epidemic situation  /  Epidemiological characteristics
覃江纯, 吴敬之, 周靖, 吴秀珍, 苏静, 沈玲娥, 施倩雯. 2005—2024年苏州市疟疾流行病学特征分析. 现代预防医学, 2026 , 53 (8) : 1377 -1380 . DOI: 10.20043/j.cnki.MPM.202509474
Jiang-chun QIN, Jing-zhi WU, Jing ZHOU, Xiu-zhen WU, Jing SU, Ling-e SHEN, Qian-wen SHI. Epidemiological characteristics analysis of malaria, Suzhou City, 2005-2024[J]. Modern Preventive Medicine, 2026 , 53 (8) : 1377 -1380 . DOI: 10.20043/j.cnki.MPM.202509474
Year 2026 volume 53 Issue 8
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doi: 10.20043/j.cnki.MPM.202509474
  • Receive Date:2025-09-27
  • Online Date:2026-11-02
  • Published:2026-04-25
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  • Received:2025-09-27
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    Suzhou Center for Disease Control and Prevention, Suzhou, Jiangsu 215000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
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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