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To understand the prevalence and spatial clustering characteristics of tuberculosis in Guizhou Province, and provide scientific basis for further reducing the prevalence of tuberculosis.
Based on the incidence monitoring data of tuberculosis in Guizhou Province in the tuberculosis information management system from 2016 to 2023, this study described and analyzed the distribution characteristics of tuberculosis incidence in the whole province in time, population and region, and used spatial clustering to analyze the key regions and types of incidence rate clustering in the province.
From 2016 to 2023, the annual average reported incidence rate of tuberculosis in Guizhou Province was 100.28/100 000, and the reported incidence rate declined at an average annual rate of 6.82%, from 130.66/100 000 in 2016 to 82.90/100 000 (trend χ2=9 647.38, P<0.001). From 2016 to 2023, the reported incidence rate of men and women will decrease from 165.18/100 000, 93.89/100 000 to 102.32/100 000 and 62.58/100 000 respectively (trend χ2=6 968.96, 2 828.21,all P<0.001). The reported incidence rates in the age groups of <20 years old, 20-39 years old, 40-59 years old and ≥60 years old all showed a downward trend (trend χ2=3 021.42, 3 563.78, 2 477.46, 1 184.20,all P<0.001). The average annual reported incidence rate of men and age groups ≥60 years old were higher than others (χ2=18 845.45, 65 957.05, all P<0.001) and the proportion of farmers was 69.46% higher than that of other occupations (χ2=732 538.16, P<0.001). At the same time, the proportion of medical staff and teachers increased (trend χ2=61.54, 45.87, all P<0.001). Spatial clustering analysis showed that tuberculosis in the province presented a clustered distribution (Moran I=0.293, Z=4.607, P<0.001), with high-high clustered areas mainly concentrated in Wangmo County, Ceheng County and other areas in Qiannan Prefecture.
In recent years, the prevention and control of tuberculosis in Guizhou Province has achieved certain results, but the current situation of prevention and control is still quite severe. Males, age groups ≥60 years old, farmers, medical personnel and teachers are the key population affected by the disease. Areas with relatively backward economic and living standards, such as Wangmo and Ceheng in Qiannan Prefecture, are the key areas affected by the disease.
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| 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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