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Spatial clustering analysis and influencing factors of tuberculosis recurrence in Kashgar, Xinjiang, 2013-2020
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Mairihaba Kamili1, Maiwulajiang Yimamu2, Alimire Abulimiti1, Yu-wei WANG1, Yang XIANG1
Modern Preventive Medicine | 2024, 51(14) : 2501 - 2506
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Modern Preventive Medicine | 2024, 51(14): 2501-2506
Epidemiology and Statistical Methods Advances
Spatial clustering analysis and influencing factors of tuberculosis recurrence in Kashgar, Xinjiang, 2013-2020
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Mairihaba Kamili1, Maiwulajiang Yimamu2, Alimire Abulimiti1, Yu-wei WANG1, Yang XIANG1
Affiliations
  • School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang 830017, China
Published: 2024-07-25 doi: 10.20043/j.cnki.MPM.202404155
Outline
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Objective

To analyze the epidemiological characteristics, spatial clustering, and influencing factors of tuberculosis recurrence in Kashgar within three years after successful treatment to provide a scientific basis for tuberculosis recurrence management.

Methods

Taking the tuberculosis patients successfully treated in Kashgar from 2013 to 2020 as the research object, we observed the recurrence epidemic characteristics, conducted spatial analysis to understand the recurrence clustering, and used the Cox regression model to explore the influencing factors.

Results

Among the 104 899 objects,14 180 experienced recurrences within three years, with a cumulative recurrence rate of 13.52%. Spatial analysis showed a positive spatial correlation of tuberculosis recurrence, with recurrence hotspots mainly concentrated in Shache, Yingjisha, and Bachu counties. The Cox model showed that male (aHR=1.155, 95%CI: 1.118-1.195), Uyghur (aHR=2.186, 95%CI: 1.786-2.681), 45-<60 age groups (aHR=1.631, 95%CI: 1.061-2.507) and ≥60 age groups (aHR=1.782, 95%CI: 1.160-2.738), farmers and herdsmen (aHR=1.104, 95%CI: 1.039-1.173), re-treatment (aHR=1.086, 95%CI: 1.036-1.138), positive aetiology result (aHR=1.377, 95%CI: 1.324-1.432), positive sputum smear after two months of treatment (aHR=1.699, 95%CI: 1.501-1.924), total delay ≥30 days (aHR=1.129, 95%CI: 1.088-1.171) and living in hotspots (aHR=1.470, 95%CI: 1.413-1.530) were independent risk factors for recurrence after successful treatment.

Conclusion

Priority should be given to improving the monitoring and management of patients in hotspot regions and those at high risk of relapse after treatment to ensure early detection of TB relapse and standardized care.

Recurrence  /  Spatial autocorrelation  /  Hotspot analysis  /  Cox proportional hazard model
Mairihaba Kamili, Maiwulajiang Yimamu, Alimire Abulimiti, Yu-wei WANG, Yang XIANG. Spatial clustering analysis and influencing factors of tuberculosis recurrence in Kashgar, Xinjiang, 2013-2020[J]. Modern Preventive Medicine, 2024 , 51 (14) : 2501 -2506 . DOI: 10.20043/j.cnki.MPM.202404155
Year 2024 volume 51 Issue 14
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Article Info
doi: 10.20043/j.cnki.MPM.202404155
  • Receive Date:2024-04-10
  • Online Date:2026-03-18
  • Published:2024-07-25
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  • Received:2024-04-10
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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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