A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, China
Background: High-resolution and longitudinal HIV molecular surveillance can inform the evolving hotspots to tailor regionally focused control strategies. Methods: HIV-1 <i>pol</i> sequences of three predominant genotypes (CRF01_AE, CRF07_BC, and CRF55_01B) were collected for molecular ne...
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2025-03-01
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| Online Access: | https://www.mdpi.com/1999-4915/17/3/384 |
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| author | Huanchang Yan Yifan Lu Shunming Li Hao Wu Jingyang Hu Yefei Luo Qingmei Li Lingxuan Lai Weiping Huang Jing Gu Lijun Ma Yuantao Hao Zhigang Han Xin-lin Chen Yu Liu |
| author_facet | Huanchang Yan Yifan Lu Shunming Li Hao Wu Jingyang Hu Yefei Luo Qingmei Li Lingxuan Lai Weiping Huang Jing Gu Lijun Ma Yuantao Hao Zhigang Han Xin-lin Chen Yu Liu |
| author_sort | Huanchang Yan |
| collection | DOAJ |
| description | Background: High-resolution and longitudinal HIV molecular surveillance can inform the evolving hotspots to tailor regionally focused control strategies. Methods: HIV-1 <i>pol</i> sequences of three predominant genotypes (CRF01_AE, CRF07_BC, and CRF55_01B) were collected for molecular network reconstruction from people living with HIV (PLWH) in Guangzhou (2018–2020). They were categorized by geographical residences into central, suburban, and outer suburban areas. Clustering rates, assortativity coefficients, and intensity matrices were employed to assess transmission dynamics, geographic mixing patterns, and intra- and inter-area transmission, respectively. Results: Of the 2469 PLWH, 55.5% resided in the central area. Clustering rates showed no significant differences across areas (44.5%, 40.6% vs. 45.7%; <i>p</i> = 0.184). However, the transmission hotspots for CRF01_AE and CRF55_01B shifted to the outer suburban area. PLWH tended to form links within their local area (assortativity coefficient = 0.227, <i>p</i> < 0.001), particularly for CRF01_AE (0.512, <i>p</i> < 0.001; intra-area intensity = 69.2%). The central area exhibited the highest but decreasing intra-area transmission (74.5% to 30.2%), while intra- and inter-area transmission involving the outer suburban area increased (23.1% to 38.2%). Conclusions: Despite most PLWH residing in the central area, the outer suburban area emerged as the hotspot, requiring interventions towards both intra- and inter-area transmission. |
| format | Article |
| id | doaj-art-5bfea48e88134d47a637f7da4befc9c9 |
| institution | DOAJ |
| issn | 1999-4915 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| series | Viruses |
| spelling | doaj-art-5bfea48e88134d47a637f7da4befc9c92025-08-20T02:43:10ZengMDPI AGViruses1999-49152025-03-0117338410.3390/v17030384A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, ChinaHuanchang Yan0Yifan Lu1Shunming Li2Hao Wu3Jingyang Hu4Yefei Luo5Qingmei Li6Lingxuan Lai7Weiping Huang8Jing Gu9Lijun Ma10Yuantao Hao11Zhigang Han12Xin-lin Chen13Yu Liu14School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, ChinaSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, ChinaDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, ChinaDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, ChinaSchool of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510006, ChinaDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, ChinaDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, ChinaSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, ChinaDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, ChinaDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, ChinaSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, ChinaPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, ChinaDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, ChinaSchool of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou 510006, ChinaSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, ChinaBackground: High-resolution and longitudinal HIV molecular surveillance can inform the evolving hotspots to tailor regionally focused control strategies. Methods: HIV-1 <i>pol</i> sequences of three predominant genotypes (CRF01_AE, CRF07_BC, and CRF55_01B) were collected for molecular network reconstruction from people living with HIV (PLWH) in Guangzhou (2018–2020). They were categorized by geographical residences into central, suburban, and outer suburban areas. Clustering rates, assortativity coefficients, and intensity matrices were employed to assess transmission dynamics, geographic mixing patterns, and intra- and inter-area transmission, respectively. Results: Of the 2469 PLWH, 55.5% resided in the central area. Clustering rates showed no significant differences across areas (44.5%, 40.6% vs. 45.7%; <i>p</i> = 0.184). However, the transmission hotspots for CRF01_AE and CRF55_01B shifted to the outer suburban area. PLWH tended to form links within their local area (assortativity coefficient = 0.227, <i>p</i> < 0.001), particularly for CRF01_AE (0.512, <i>p</i> < 0.001; intra-area intensity = 69.2%). The central area exhibited the highest but decreasing intra-area transmission (74.5% to 30.2%), while intra- and inter-area transmission involving the outer suburban area increased (23.1% to 38.2%). Conclusions: Despite most PLWH residing in the central area, the outer suburban area emerged as the hotspot, requiring interventions towards both intra- and inter-area transmission.https://www.mdpi.com/1999-4915/17/3/384human immunodeficiency virusmolecular transmission networkspatiotemporal analysis |
| spellingShingle | Huanchang Yan Yifan Lu Shunming Li Hao Wu Jingyang Hu Yefei Luo Qingmei Li Lingxuan Lai Weiping Huang Jing Gu Lijun Ma Yuantao Hao Zhigang Han Xin-lin Chen Yu Liu A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, China Viruses human immunodeficiency virus molecular transmission network spatiotemporal analysis |
| title | A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, China |
| title_full | A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, China |
| title_fullStr | A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, China |
| title_full_unstemmed | A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, China |
| title_short | A Spatiotemporal Analysis of a High-Resolution Molecular Network Reveals Shifts of HIV-1 Transmission Hotspots in Guangzhou, China |
| title_sort | spatiotemporal analysis of a high resolution molecular network reveals shifts of hiv 1 transmission hotspots in guangzhou china |
| topic | human immunodeficiency virus molecular transmission network spatiotemporal analysis |
| url | https://www.mdpi.com/1999-4915/17/3/384 |
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