Full
Outline
To compare the spatial pattern evolution characteristics and the spatial heterogeneity of influencing factors of newly reported AIDS incidence in mainland China before (2015-2019) and after (2020-2023) the COVID-19 outbreak, and to provide a scientific basis for targeted prevention and control in response to similar crises in the future.
Based on newly reported AIDS incidence and socioeconomic data from 31 provincial-level administrative regions in mainland China (2015-2023), spatial autocorrelation, ordinary least squares (OLS), and multiscale geographically weighted regression (MGWR) were employed for analysis.
The incidence of newly reported AIDS showed an upward trend from 2015 to 2019, but began to decline after the outbreak of COVID-19. By 2022, the incidence dropped to 3.69 per 100 000 population, with a slight rebound in 2023. Both before and after the COVID-19 outbreak, the incidence of newly reported AIDS exhibited significant and strengthening spatial positive autocorrelation. Hotspots consistently concentrated in Yunnan, Guizhou, Sichuan, Chongqing, Guangxi, and Hunan, with Hainan and Guangdong emerging as new hotspots. Coldspots persistently clustered in Northeast and North China. Before the COVID-19 outbreak, the number of health technical personnel per 10 000 people had a promoting effect on the incidence in the Southwest region, but this effect shifted to a suppressive one after the outbreak. Urbanization rate exerted a negative influence globally but a positive influence locally. Other variables demonstrated bidirectional influences, with spatial heterogeneity persisting throughout the study period.
s The spatial evolution of newly reported AIDS incidence varied before and after the COVID-19 outbreak, but both periods exhibited significant spatial clustering, with socioeconomic factors demonstrating spatial heterogeneity in their influence. We propose formulating differentiated AIDS prevention and control strategies tailored to local conditions, with particular focus on hotspot areas, to implement precision interventions for effective AIDS incidence reduction.
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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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