Temporal-spatial distribution of AIDS epidemic in China, 2010-2019

HE Jia-jin; YUAN Lu; WU Chao

doi:10.16462/j.cnki.zhjbkz.2022.05.009

Volume 26 Issue 5

May 2022

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HE Jia-jin, YUAN Lu, WU Chao. Temporal-spatial distribution of AIDS epidemic in China, 2010-2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(5): 541-546. doi: 10.16462/j.cnki.zhjbkz.2022.05.009

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HE Jia-jin, YUAN Lu, WU Chao. Temporal-spatial distribution of AIDS epidemic in China, 2010-2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(5): 541-546. doi: 10.16462/j.cnki.zhjbkz.2022.05.009

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Temporal-spatial distribution of AIDS epidemic in China, 2010-2019

doi: 10.16462/j.cnki.zhjbkz.2022.05.009

HE Jia-jin¹,
YUAN Lu²,
WU Chao^{3
,
,}

1.
School of Public Health, Zhejiang University, Hangzhou 310058, China
2.
School of Public Health, Weifang Medical University, Weifang 261053, China
3.
School of Public Affairs, Zhejiang University, Hangzhou 310058, China

More Information

Corresponding author: Wu Chao, E-mail: chao.wu@zju.edu.cn
Received Date: 2021-11-12
Rev Recd Date: 2022-03-16

Available Online: 2022-05-11

Publish Date: 2022-05-10

Abstract

Abstract

Objective This study aims to explore the temporal-spatial distribution of AIDS incidence in China from 2010 to 2019. Methods Data were extracted from the China Health Statistical YearBook and the Science Center of Public Health, and population data were derived from the National Bureau of Statistics. The epidemic trend of AIDS was analyzed by linear chi-square test and hierarchical map. The global and local spatial autocorrelation analyses were conducted by using software GeoDa 1.18. The software of SaTScan 9.7 was used for spatial-temporal scanning analysis. Results The result of Chi-square Test was 30.432 (P < 0.001); The maps exhibited that the geographical distribution of incidence rate was quite different in China, showed a spatial pattern of being higher in Southwest and lower in Northeast China. Moran's value was from 0.196 in 2010 to 0.383 in 2019. The global spatial autocorrelation indicated that AIDS incidence was positively auto-correlated and the degree of correlation was strengthening. Local spatial autocorrelation showed that Guangxi and Yunnan had been in high-high cluster mode. In 2012, Guizhou changed from low-high cluster to high-high cluster. In 2014, Henan changed from high-low cluster to low-low cluster. And Hunan, Sichuan, and Chongqing added to high-high clustering areas from 2016 to 2019. The spatial-temporal scanning identified three cluster areas, which had certain aggregation in time and space. Conclusions The epidemic of AIDS existed obvious regional differences and spatial aggregation had increased in China. The high-high cluster area in Southwest China was constantly expanding. The targeted prevention and control strategy should be formulated according to the analysis of temporal-spatial characteristics, so as to achieve regional cooperation and rational allocation of resources.
- AIDS,
- Incidence,
- Spatial autocorrelation,
- Temporal-spatial analysis

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References

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