1. World Health Organization. Global tuberculosis report 2019. 2019. Available from: https://www.who.int/tb/publications/global_report/en/.
2. Statistics Bureau of Henan Province, Henan survey team of National Bureau of Statistics. Henan statistical yearbook 2019. 2019.Available from: http://www.ha.stats.gov.cn/hntj/lib/tjnj/2019/indexch.htm.
3. Shen Z, Chen Z, Ma G, et al. Statistical analysis of the epidemic of legal infectious diseases in Henan Province in 2008. Chinese Journal of Health Statistics. 2010;27(6):625–8.
4. Chen B, Sumi A, Toyoda S, et al. Time series analysis of reported cases of hand, foot, and mouth disease from 2010 to 2013 in Wuhan, China. BMC Infect Dis. 2015;15:495. DOI:10.1186/s12879-015-1233-0.
5. Telarolli R, Junior,Loffredo LCM, Gasparetto RM. Clinical and epidemiological profile of tuberculosis in an urban area with high human development index in southeastern Brazil. Time series study. Sao Paulo Med J. 2017;135(5):413–9. DOI:10.1590/1516-3180.2016.0260210317.
6. Yongbin Wang X, Li F, Chai, et al. Based on ARIMA-GRNN combination model, predicted the incidence of hepatitis A in China. Chin J Dis Control Prev. 2016;20(7):734–40. DOI:10.16462/j.cnki.zhjbkz.2016.07.022.7.
7. Enli Tan H, Hou H, Bao, et al. Using the autoregressive moving average model to predict the number of Chinese influenza cases. Chinese Journal of virology. 2017;33(5):699–705. DOI:10.13242/j.cnki.bingduxuebao.003221.
8. Gaspar RS, Nunes N, Nunes M, et al. Temporal analysis of reported cases of tuberculosis and of tuberculosis-HIV co-infection in Brazil between 2002 and 2012. J Bras Pneumol. 2016;42(6):416–22. DOI:10.1590/S1806-37562016000000054.
9. World Health Organization. Multisectoral accountability framework to accelerate progress to end tuberculosis by 2030. 2019. Available from: https://www.who.int/tb/WHO_Multisectoral_Framework_web.pdf?ua=1.
10. Fei Huang X, Du W, Chen, et al. Introduction of Tuberculosis information management system in China. China Digital Medicine. 2011;6(10):97–9. DOI:10.3969/j.issn.1673-7571.2011.10.031.
11. The National Health and Family Planning Commission of China. Tuberculosis classification. The health standard of the People's Republic of China WS196–2017. 2017. Available from: http://www.nhfpc.gov.cn/fzs/s7852d/201711/0819ad84540b4d97a1644bbc6ec4306d.shtm.
12. Wendai Lu. SPSS for windows statistical analysis. Second edition. Beijing: Electronic Industry Press. 2002: 412–433.
13. Ke G, Hu Y, Huang X, et al. Epidemiological analysis of hemorrhagic fever with renal syndrome in China with the seasonal-trend decomposition method and the exponential smoothing model. Sci Rep. 2016;15(6):39350. DOI:10.1038/srep39350 .
14. Zhuang Tao S, Jin. A brief introduction to time series analysis. Chinese Journalof Health Statistics. 2003;20(3):151–3.
15. Xin Du W, Chen F, Huang, et al. Characteristics analysis of national student reported incidence of tuberculosis, 2004 ~ 2008. Chinese Journalof health education. 2009;25(11):803–10. DOI:10.16168/j.cnki.issn.1002-9982.2009.11.021.
16. Wubuli A, Li Y, Xue F, et al. Seasonality of active tuberculosis registration from 2005 to 2014 in Xinjiang, China. PLoS One. 2017;12(7):e0180226. DOI:10.1371/journal.pone.0180226.
17. Narula P, Sihota P, Azad S, Lio P. Analyzing seasonality of tuberculosis across Indian states and union territories. Journal of Epidemiology Global Health. 2015;4(5):337–46. DOI:10.1016/j.jegh.2015.02.004.
18. Khaliq A, Batool SA, Chaudhry MN. Seasonality and trend analysis of tuberculosis in Lahore, Pakistan from 2006 to 2013. Journal of Epidemiology Global Health. 2015;4(5):397–403. DOI:10.1016/j.jegh.2015.07.007.
19. Naranbat N, Nymadawa P, Schopfer K, et al. Seasonality of tuberculosis in an Eastern-Asian country with an extreme continental climate. EurRespir J. 2009;34:921–5. DOI:10.1183/09031936.00035309.
20. Azeez A, Obaromi D, Odeyemi A, et al. Seasonality and Trend Forecasting of Tuberculosis Prevalence Data in Eastern Cape, South Africa, Using a Hybrid Model. Int JEnvironResPublicHealth. 2016;13(8):757. DOI:10.3390/ijerph13080757.
21. Willis MD, Winston CA, Heilig CM, et al. Seasonality of tuberculosis in the United States, 1993–2008. Clin Infect Dis. 2012;54(11):1553–60. DOI:10.1093/cid/cis235.
22. Wah W, Das S, Earnest A, et al. Time series analysis of demographic and temporal trends of tuberculosis in Singapore. BMC Public Health. 2014;31(14):1121. DOI:10.1186/1471-2458-14-1121.
23. Zhang L, Liu Y. Prediction of the onset number of smear positive pulmonary tuberculosis in Baoan District, Shenzhen with seasonal exponential smoothing method. China medical herald. 2015;12(18):39–42.
24. Ríos M, García JM, Sánchez JA, et al. A statistical analysis of the seasonality in pulmonary tuberculosis. Eur J Epidemiol. 2000;16(5):483–8. DOI:10.1023/a:1007653329972.
25. Xin Du F, Huang W, Lu, et al. 2010–2012 national tuberculosis registration rate change trend analysis. Chinese Journal of tuberculosis prevention. 2013;35(5):337.
26. Chen W, Zhao X, Zhang J, et al. Survey on the quality of notifiable infectious diseases reported by medical institutions in Henan province in 2012. Modern Preventive Medicine. 2014;41(11):2088–91.
27. Boehme CC, Nicol MP, Nabeta P, et al. Feasibility, diagnostic accuracy, and effectiveness ofdecentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicenter implementation study. Lancet. 2011;377(9776):1495–505. DOI:10.1016/S0140-6736(11)60438-8.
28. Li X, Jiang S, Li X, et al. Predictors on Delay of Initial Health-Seeking in New Pulmonary Tuberculosis Cases among Migrants Population in East China. PLoS One. 2012;7(2):e31995. DOI:10.1371/journal.pone.0031995.
29. Fang R, Li X. Lin Hu, et al.Cross-Priming Amplification for Rapid Detection of Mycobacterium tuberculosis in Sputum Specimens. J Clin Microbiol. 2009;47(3):845–7. DOI:10.1128/JCM.01528-08.
30. Monde Muyoyeta1. Moyo PragnyaMaduskar,M, et al.The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia. PLoS One, 2014, 9 (4): e93757.
31. Beta Ãnia MF, NogueiraVC, Rolla KM, et al. Factors associated with tuberculosis treatment delay in patients co-infected with HIV in a high prevalence area in Brazil. PLoS ONE. 2018;13(4):e0195409. DOI:10.1371/journal.pone.0195409.
32. Xiaoqiu Liu T, Blaschke B, Thomas, et al. Usability of a Medication Event Reminder Monitor Systemby Providers and Patients to Improve Adherence in the Management of Tuberculosis. Int J Environ Res Public Health. 2017;14(10):1115. DOI:10.3390/ijerph14101115.
33. Marco Schito GB, Migliori H, AFletcher, et al. Perspectives on Advances in Tuberculosis Diagnostics, Drugs, and Vaccines. Advances in Clinical Tuberculosis Research. Clin Infect Dis. 2015;61(Suppl 3):102–18.
34. Cui X, Gao L, Cao B. Management of Latent Tuberculosis Infection in China: Exploring solutions suitable for high-burden countries. Int J Infect Dis, 2020 Feb 27. [Online ahead of print]. DOI:10.1016/j.ijid.2020.02.034.
35. Wong NS, Chan KChiW, Wong BChunK, et al. Latent Tuberculosis Infection Testing Strategies for HIV-Positive Individuals in Hong Kong. JAMA Netw Open. 2019;2(9):e1910960. DOI:10.1001/jamanetworkopen.2019.10960.
36. Gurung SC, Dixit K, Rai B, et al. The role of active case finding in reducing patient incurred catastrophic costs for tuberculosis in Nepal. Infect Dis Poverty. 2019;8(1):99. DOI:10.1186/s40249-019-0603-z.
37. Healthcare Security Bureau of Henan Province. Notice of Henan provincial health and family planning commission and Henan provincial department of human resources and social security on carrying out pulmonary tuberculosis diagnosis related groups based payment. 2018. Available from: http://ylbz.henan.gov.cn/2019/09-18/952490.html.