Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China

References

• Naghavi M, Abajobir AA, Abbafati C. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the global burden of disease study 2016. Lancet. 2017;390(10100):1151–1210. doi:10.1016/s0140-6736(17)32152-9
   PubMed Web of Science ®Google Scholar
• Kyu HH, Maddison ER, Henry NJ. Global, regional, and national burden of tuberculosis, 1990–2016: results from the global burden of diseases, injuries, and risk factors 2016 study. Lancet Infect Dis. 2018;18(12):1329–1349. doi:10.1016/s1473-3099(18)30625-x
   PubMed Web of Science ®Google Scholar
• World Health Organization. Global Tuberculosis Report 2021. World Health Organization; 2021.
   Google Scholar
• Dheda K, Barry CE, Maartens G. Tuberculosis. Lancet. 2016;387(10024):1211–1226. doi:10.1016/S0140-6736(15)00151-8
   PubMed Web of Science ®Google Scholar
• Jiang H, Liu M, Zhang Y, et al. Changes in incidence and epidemiological characteristics of pulmonary Tuberculosis in Mainland China, 2005–2016. JAMA network open. 2021;4(4):e215302. doi:10.1001/jamanetworkopen.2021.5302
   PubMed Web of Science ®Google Scholar
• Li Q, Liu M, Zhang Y, et al. The spatio-temporal analysis of the incidence of tuberculosis and the associated factors in mainland China, 2009–2015. Infect Genet Evol. 2019;75:103949. doi:10.1016/j.meegid.2019.103949
   PubMed Web of Science ®Google Scholar
• Li Z, Liu Q, Zhan M, Tao B, Wang J, Lu W. Meteorological factors contribute to the risk of pulmonary tuberculosis: a multicenter study in eastern China. Sci Total Environ. 2021;793:148621. doi:10.1016/j.scitotenv.2021.148621
   PubMed Web of Science ®Google Scholar
• Yu Y, Wu B, Wu C, Wang Q, Hu D, Chen W. Spatial-temporal analysis of tuberculosis in Chongqing, China 2011–2018. BMC Infect Dis. 2020;20(1):531. doi:10.1186/s12879-020-05249-3
   PubMed Web of Science ®Google Scholar
• Huang L, Li XX, Abe EM, et al. Spatial-temporal analysis of pulmonary tuberculosis in the northeast of the Yunnan province, People’s Republic of China. Infect Dis Pover. 2017;6(1):53. doi:10.1186/s40249-017-0268-4
   PubMedGoogle Scholar
• Areias C, Briz T, Nunes C. Pulmonary tuberculosis space-time clustering and spatial variation in temporal trends in Portugal, 2000–2010: an updated analysis. Epidemiol Infect. 2015;143(15):3211–3219. doi:10.1017/s0950268815001089
   PubMed Web of Science ®Google Scholar
• Hu M, Feng Y, Li T, et al. Unbalanced risk of pulmonary tuberculosis in china at the subnational scale: spatiotemporal analysis. JMIR Public Health Surveill. 2022;8(7):e36242. doi:10.2196/36242
   PubMedGoogle Scholar
• Chen ZY, Deng XY, Zou Y, et al. A Spatio-temporal Bayesian model to estimate risk and influencing factors related to tuberculosis in Chongqing, China, 2014–2020. Arch Public Health. 2023;81(1):42. doi:10.1186/s13690-023-01044-z
   PubMed Web of Science ®Google Scholar
• Peters JS, Andrews JR, Hatherill M, et al. Advances in the understanding of Mycobacterium tuberculosis transmission in HIV-endemic settings. Lancet Infect Dis. 2019;19(3):e65–e76. doi:10.1016/S1473-3099(18)30477-8
   PubMed Web of Science ®Google Scholar
• Bruchfeld J, Correia-Neves M, Källenius G. Tuberculosis and HIV Coinfection. Cold Spring Harb Perspect Med. 2015;5(7):a017871. doi:10.1101/cshperspect.a017871
   PubMed Web of Science ®Google Scholar
• Xu B, Li J, Wang M. Epidemiological and time series analysis on the incidence and death of AIDS and HIV in China. BMC Public Health. 2020;20(1):1906. doi:10.1186/s12889-020-09977-8
   PubMed Web of Science ®Google Scholar
• Qiu B, Wu Z, Tao B, et al. Risk factors for types of recurrent tuberculosis (reactivation versus reinfection): a global systematic review and meta-analysis. Int J Infect Dis. 2022;116:14–20. doi:10.1016/j.ijid.2021.12.344
   PubMed Web of Science ®Google Scholar
• Global HIV Programme. Available from: https://www.who.int/teams/global-hiv-hepatitis-and-stis-programmes/hiv/strategic-information/hiv-data-and-statistics. Accessed March 16, 2023.
   Google Scholar
• Ord JK, Getis A. Local spatial autocorrelation statistics: distributional issues and an application. Geogr Anal. 1995;27(4):286–306. doi:10.1111/j.1538-4632.1995.tb00912.x
   Web of Science ®Google Scholar
• Qin Q, Guo W, Tang W, et al. Spatial analysis of the human immunodeficiency virus epidemic among men who have sex with men in China, 2006–2015. Clin Infect Dis. 2017;64(7):956–963. doi:10.1093/cid/cix031
   PubMed Web of Science ®Google Scholar
• Yang H, Li Y, He F, et al. Demographic characteristics and hot-spot areas of recent infections among new HIV Diagnoses in Sichuan, China, Between 2018 and 2020. Infect Drug Resist. 2023;16:779–789. doi:10.2147/IDR.S394828
   PubMed Web of Science ®Google Scholar
• Dowdy DW, Golub JE, Chaisson RE, Saraceni V. Heterogeneity in tuberculosis transmission and the role of geographic hotspots in propagating epidemics. Proc Natl Acad Sci U S A. 2012;109(24):9557–9562. doi:10.1073/pnas.1203517109
   PubMed Web of Science ®Google Scholar
• Hoseini B, Bagheri N, Kiani B, Azizi A, Tabesh H, Tara M. Access to dialysis services: a systematic mapping review based on geographical information systems. Geospat Health. 2018;13(1):577. doi:10.4081/gh.2018.577
   PubMed Web of Science ®Google Scholar
• Kiani B, Bagheri N, Tara A, Hoseini B, Tabesh H, Tara M. Revealed access to haemodialysis facilities in northeastern Iran: factors that matter in rural and urban areas. Geospat Health. 2017;12(2):584. doi:10.4081/gh.2017.584
   PubMed Web of Science ®Google Scholar
• Wang Y, Zhao C, Liu Z, Gao D. Spatiotemporal Analysis of AIDS Incidence and Its Influencing Factors on the Chinese Mainland, 2005–2017. Int J Environ Res Public Health. 2021;18(3):1043. doi:10.3390/ijerph18031043
   PubMed Web of Science ®Google Scholar
• Shen Y, Lu H. Prevalence and predictors of tuberculosis among adults with newly diagnosed HIV/AIDS. Internat J Infect Dis. 2016;45:412. doi:10.1016/j.ijid.2016.02.879
   Web of Science ®Google Scholar
• Getaneh T, Negesse A, Dessie G, Desta M. The impact of tuberculosis co-infection on virological failure among adults living with HIV in Ethiopia: a systematic review and meta-analysis. J Clin Tuberc Other Mycobact Dis. 2022;27:100310. doi:10.1016/j.jctube.2022.100310
   PubMedGoogle Scholar
• El-Khatib Z, Ekstrom AM, Ledwaba J, et al. Viremia and drug resistance among HIV-1 patients on antiretroviral treatment: a cross-sectional study in Soweto, South Africa. AIDS. 2010;24(11):1679–1687. doi:10.1097/QAD.0b013e32833a097b
   PubMed Web of Science ®Google Scholar
• Rebouças MC, Silva MOD, Haguihara T, Brites C, Netto EM. Tuberculosis incidence among people living with HIV/AIDS with virological failure of antiretroviral therapy in Salvador, Bahia, Brazil. Braz J Infect Dis. 2017;21(5):562–566. doi:10.1016/j.bjid.2017.05.005
   PubMed Web of Science ®Google Scholar
• Otiende V, Achia T, Mwambi H. Bayesian modeling of spatiotemporal patterns of TB-HIV co-infection risk in Kenya. BMC Infect Dis. 2019;19(1):902. doi:10.1186/s12879-019-4540-z
   PubMed Web of Science ®Google Scholar
• Alene KA, Viney K, Moore HC, Wagaw M, Clements ACA. Spatial patterns of tuberculosis and HIV co-infection in Ethiopia. PLoS One. 2019;14(12):e0226127. doi:10.1371/journal.pone.0226127
   PubMed Web of Science ®Google Scholar
• Stoica Călăraşu C, Popa Miulescu AM, Turcu AA, Nitu FM. The profile of the patients with double infection HIV and TB in South West of Romania. Curr Health Sci J. 2021;47(1):107–113. doi:10.12865/chsj.47.01.17
   PubMedGoogle Scholar
• Kulldorff M, Heffernan R, Hartman J, Assunção R, Mostashari F. A space-time permutation scan statistic for disease outbreak detection. PLoS Med. 2005;2(3):e59. doi:10.1371/journal.pmed.0020059
   PubMed Web of Science ®Google Scholar
• Souza WV, Carvalho MS, Albuquerque Mde F, Barcellos CC, Ximenes RA. Tuberculosis in intra-urban settings: a Bayesian approach. Trop Med Int Health. 2007;12(3):323–330. doi:10.1111/j.1365-3156.2006.01797.x
   PubMed Web of Science ®Google Scholar
• Thway AM, Rotejanaprasert C, Sattabongkot J, et al. Bayesian spatiotemporal analysis of malaria infection along an international border: hlaingbwe township in Myanmar and tha-song-yang district in Thailand. Malar J. 2018;17(1):428. doi:10.1186/s12936-018-2574-0
   PubMedGoogle Scholar
• Lau SY, Chen E, Wang M, et al. Association between meteorological factors, spatiotemporal effects, and prevalence of influenza A subtype H7 in environmental samples in Zhejiang province, China. Sci Total Environ. 2019;663:793–803. doi:10.1016/j.scitotenv.2019.01.403
   PubMed Web of Science ®Google Scholar
• Yang LJ, Li T, Chen W. 2013-2018年中国结核病空间聚集性分析 [Study on spatial clustering characteristics of tuberculosis in China, 2013–2018]. Zhonghua Liu Xing Bing Xue Za Zhi. 2020;41(11):1843–1847. Chinese. doi:10.3760/cma.j.cn112338-20200114-00029
   PubMedGoogle Scholar
• Liu MY, Li QH, Zhang YJ, et al. Spatial and temporal clustering analysis of tuberculosis in the mainland of China at the prefecture level, 2005–2015. Infect Dis Pover. 2018;7(1):106. doi:10.1186/s40249-018-0490-8
   PubMedGoogle Scholar
• Lima S, Dos Santos AD, Duque AM, et al. Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil. BMC Public Health. 2019;19(1):873. doi:10.1186/s12889-019-7224-0
   PubMedGoogle Scholar
• Im C, Kim Y. Spatial pattern of tuberculosis (TB) and related socio-environmental factors in South Korea, 2008–2016. PLoS One. 2021;16(8):e0255727. doi:10.1371/journal.pone.0255727
   PubMed Web of Science ®Google Scholar
• Krishnamoorthy Y, Majella MG, Rajaa S, Bharathi A, Saya GK. Spatial pattern and determinants of HIV infection among adults aged 15 to 54 years in India - Evidence from national family health survey-4 (2015–16). Trop Med Int Health. 2021;26(5):546–556. doi:10.1111/tmi.13551
   PubMed Web of Science ®Google Scholar
• Shen F, Yang L, He X, Zhou C, Adams JM. Understanding the spatial-temporal variation of human footprint in Jiangsu Province, China, its anthropogenic and natural drivers and potential implications. Sci Rep. 2020;10(1):13316. doi:10.1038/s41598-020-70088-w
   PubMed Web of Science ®Google Scholar
• Lu YQ. Evolvement of spatial pattern of population with data at county level in Jiangsu Province. Prog Phys Geogr. 2012;167–175.
   Google Scholar
• Dheda K, Gumbo T, Maartens G, et al. The lancet respiratory medicine commission: 2019 update: epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant and incurable tuberculosis. Lancet Respir Med. 2019;7(9):820–826. doi:10.1016/s2213-2600(19)30263-2
   PubMed Web of Science ®Google Scholar
• Alene KA, Elagali A, Barth DD, et al. Spatial codistribution of HIV, tuberculosis and malaria in Ethiopia. BMJ Global Health. 2022;7(2):e007599. doi:10.1136/bmjgh-2021-007599
   PubMed Web of Science ®Google Scholar
• Cavalin RF, Pellini ACG, Lemos RRG, Sato APS. TB-HIV co-infection: spatial and temporal distribution in the largest Brazilian metropolis. Rev Saude Publica. 2020;54:e112. doi:10.11606/s1518-8787.2020054002108
   PubMed Web of Science ®Google Scholar
• Aturinde A, Farnaghi M, Pilesjö P, Mansourian A. Spatial analysis of HIV-TB co-clustering in Uganda. BMC Infect Dis. 2019;19(1):612. doi:10.1186/s12879-019-4246-2
   PubMedGoogle Scholar
• Wang Y, Lu R, Wu G, et al. Changing trends of HIV, syphilis, and hepatitis C among Male Migrant Workers in Chongqing, China: nine Consecutive Cross-Sectional Surveys, 2010–2018. Int J Environ Res Public Health. 2020;17(3):875. doi:10.3390/ijerph17030875
   PubMed Web of Science ®Google Scholar
• Yuan FS, Liu L, Liu LH, et al. Epidemiological and spatiotemporal analyses of HIV/AIDS prevalence among older adults in Sichuan, China between 2008 and 2019: a population-based study. Int J Infect Dis. 2021;105:769–775. doi:10.1016/j.ijid.2021.02.077
   PubMed Web of Science ®Google Scholar
• Hu H, Liu X, Zhang Z, Xu J, Fu G, Huan X. 江苏省2011—2013年新报告HIV感染者/艾滋病患者新发感染状况分析 [Recent infected and newly reported HIV cases in Jiangsu province, 2011–2013]. Zhonghua Liu Xing Bing Xue Za Zhi. 2014;35(10):1115–1118. Chinese.
   PubMedGoogle Scholar
• Huang D, Wang J, Yang T. Mapping the spatial-temporal distribution and migration patterns of men who have sex with men in mainland china: a web-based study. Int J Environ Res Public Health. 2020;17(5):1469. doi:10.3390/ijerph17051469
   PubMed Web of Science ®Google Scholar