526
Views
55
CrossRef citations to date
0
Altmetric
Original Research

Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses

, , , , , , & show all
Pages 2311-2322 | Published online: 26 Jul 2019

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (12)

Xiaolei Zhang & Renjun Ma. (2023) Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models. Journal of Applied Statistics 50:11-12, pages 2561-2574.
Read now
Shuangshuang Chen, Xinqiang Wang, Jiawen Zhao, Yongzhong Zhang & Xiaohong Kan. (2022) Application of the ARIMA Model in Forecasting the Incidence of Tuberculosis in Anhui During COVID-19 Pandemic from 2021 to 2022. Infection and Drug Resistance 15, pages 3503-3512.
Read now
Wenhao Ding, Yanyan Li, Yichun Bai, Yuhong Li, Lei Wang & Yongbin Wang. (2021) Estimating the Effects of the COVID-19 Outbreak on the Reductions in Tuberculosis Cases and the Epidemiological Trends in China: A Causal Impact Analysis. Infection and Drug Resistance 14, pages 4641-4655.
Read now
Yuhan Xiao, Yanyan Li, Yuhong Li, Chongchong Yu, Yichun Bai, Lei Wang & Yongbin Wang. (2021) Estimating the Long-Term Epidemiological Trends and Seasonality of Hemorrhagic Fever with Renal Syndrome in China. Infection and Drug Resistance 14, pages 3849-3862.
Read now
Chongchong Yu, Chunjie Xu, Yuhong Li, Sanqiao Yao, Yichun Bai, Jizhen Li, Lei Wang, Weidong Wu & Yongbin Wang. (2021) Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model. Infection and Drug Resistance 14, pages 2809-2821.
Read now
Jizhen Li, Yuhong Li, Ming Ye, Sanqiao Yao, Chongchong Yu, Lei Wang, Weidong Wu & Yongbin Wang. (2021) Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China. Infection and Drug Resistance 14, pages 1941-1955.
Read now
Amit Kumar Gupta, Vijander Singh, Priya Mathur & Carlos M. Travieso-Gonzalez. (2021) Prediction of COVID-19 pandemic measuring criteria using support vector machine, prophet and linear regression models in Indian scenario. Journal of Interdisciplinary Mathematics 24:1, pages 89-108.
Read now
Vijander Singh, Ramesh Chandra Poonia, Sandeep Kumar, Pranav Dass, Pankaj Agarwal, Vaibhav Bhatnagar & Linesh Raja. (2020) Prediction of COVID-19 corona virus pandemic based on time series data using support vector machine. Journal of Discrete Mathematical Sciences and Cryptography 23:8, pages 1583-1597.
Read now
Leonie Frauenfeld, Dominik Nann, Zita Sulyok, You-Shan Feng & Mihály Sulyok. (2020) Forecasting tuberculosis using diabetes-related google trends data. Pathogens and Global Health 114:5, pages 236-241.
Read now
Yongbin Wang, Chunjie Xu, Sanqiao Yao, Yingzheng Zhao, Yuchun Li, Lei Wang & Xiangmei Zhao. (2020) Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India. Infection and Drug Resistance 13, pages 3335-3350.
Read now
Yongbin Wang, Chunjie Xu, Jingchao Ren, Weidong Wu, Xiangmei Zhao, Ling Chao, Wenjuan Liang & Sanqiao Yao. (2020) Secular Seasonality and Trend Forecasting of Tuberculosis Incidence Rate in China Using the Advanced Error-Trend-Seasonal Framework. Infection and Drug Resistance 13, pages 733-747.
Read now
Yongbin Wang, Chunjie Xu, Yuchun Li, Weidong Wu, Lihui Gui, Jingchao Ren & Sanqiao Yao. (2020) An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China. Infection and Drug Resistance 13, pages 867-880.
Read now

Articles from other publishers (43)

Supriya Raheja, Shreya Kasturia, Xiaochun Cheng & Manoj Kumar. (2021) Machine learning-based diffusion model for prediction of coronavirus-19 outbreak. Neural Computing and Applications 35:19, pages 13755-13774.
Crossref
Wudi Wei, Gang Wang, Xing Tao, Qiang Luo, Lixiang Chen, Xiuli Bao, Yuxuan Liu, Junjun Jiang, Hao Liang & Li Ye. (2023) Time series prediction for the epidemic trends of monkeypox using the ARIMA, exponential smoothing, GM (1, 1) and LSTM deep learning methods. Journal of General Virology 104:4.
Crossref
Na Tang, Maoxiang Yuan, Zhijun Chen, Jian Ma, Rui Sun, Yide Yang, Quanyuan He, Xiaowei Guo, Shixiong Hu & Junhua Zhou. (2023) Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants. International Journal of Environmental Research and Public Health 20:5, pages 3910.
Crossref
Ahed Abugabah & Farah Shahid. (2023) Intelligent Health Care and Diseases Management System: Multi-Day-Ahead Predictions of COVID-19. Mathematics 11:4, pages 1051.
Crossref
Yingdan Wang, Chunjie Gao, Tiantian Zhao, Haiyan Jiao, Ying Liao, Zengyun Hu & Lei Wang. (2023) A comparative study of three models to analyze the impact of air pollutants on the number of pulmonary tuberculosis cases in Urumqi, Xinjiang. PLOS ONE 18:1, pages e0277314.
Crossref
Wenjuan Liang, Ailing Hu, Pan Hu, Jinqin Zhu & Yongbin Wang. (2022) Estimating the tuberculosis incidence using a SARIMAX-NNARX hybrid model by integrating meteorological factors in Qinghai Province, China. International Journal of Biometeorology 67:1, pages 55-65.
Crossref
Bilal Abdualgalil, Sajimon Abraham, Waleed M. Ismael & Dais George. 2023. Data Management, Analytics and Innovation. Data Management, Analytics and Innovation 157 171 .
XiXun Zhu, Zhixin Song, Gan Sen, Maozai Tian, Yanling Zheng & Bing Zhu. (2022) Prediction study of electric energy production in important power production base, China. Scientific Reports 12:1.
Crossref
Ziwei Wu, Ziyi Chen, Siyu Long, Aiping Wu & Hongsheng Wang. (2022) Incidence of pulmonary tuberculosis under the regular COVID-19 epidemic prevention and control in China. BMC Infectious Diseases 22:1.
Crossref
Xiaobo Song, Xinyi Zhang, Xiaoli Wang & Yuan Li. (2022) Prediction of daily patient visits in respiratory department using deep learning. Prediction of daily patient visits in respiratory department using deep learning.
Melika Yajada, Mohammad Karimi Moridani & Saba Rasouli. (2022) Mathematical model to predict COVID-19 mortality rate. Infectious Disease Modelling 7:4, pages 761-776.
Crossref
Mengying Wang, Cuixia Lee, Wei Wang, Yingyun Yang & Cheng Yang. (2022) Early Warning of Infectious Diseases in Hospitals Based on Multi-Self-Regression Deep Neural Network. Journal of Healthcare Engineering 2022, pages 1-13.
Crossref
Zhixin Zhu, Xiaoxia Zhu, Yancen Zhan, Lanfang Gu, Liang Chen & Xiuyang Li. (2022) Development and comparison of predictive models for sexually transmitted diseases—AIDS, gonorrhea, and syphilis in China, 2011–2021. Frontiers in Public Health 10.
Crossref
Ling Chen, Xiaodan Wang, Xudong Jia, Yuanbo Lan, Haibo Yi, Xiaomin Wang & Peng Xu. (2022) Investigation of 3-year inpatient TB cases in Zunyi, China: Increased TB burden but improved bacteriological diagnosis. Frontiers in Public Health 10.
Crossref
Zheng SuiJingyi Mu, Tian WangShanshan Zhang. (2022) Evaluation of Energy Saving of Residential Buildings in North China Using Back-Propagation Neural Network and Virtual Reality Modeling. Journal of Energy Engineering 148:3.
Crossref
Daren Zhao, Huiwu Zhang, Qing Cao, Zhiyi Wang, Sizhang He, Minghua Zhou & Ruihua Zhang. (2022) The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China. PLOS ONE 17:2, pages e0262734.
Crossref
Dorothy O. Asante, Anita N. Walker, Theodora A. Seidu, Senam A. Kpogo & Jianjun Zou. (2022) Hypertension and Diabetes in Akatsi South District, Ghana: Modeling and Forecasting. BioMed Research International 2022, pages 1-11.
Crossref
Bin Deng, Yan Niu, Jingwen Xu, Jia Rui, Shengnan Lin, Zeyu Zhao, Shanshan Yu, Yichao Guo, Li Luo, Tianmu Chen & Qun Li. (2022) Mathematical Models Supporting Control of COVID-19. China CDC Weekly 4:40, pages 895-901.
Crossref
Sarbjit Singh, Kulwinder Singh Parmar, Jatinder Kumar & Jatinder Kaur. 2022. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention 153 181 .
Mohanad A. Deif, Ahmed A. A. Solyman & Rania E. Hammam. (2021) ARIMA Model Estimation Based on Genetic Algorithm for COVID-19 Mortality Rates. International Journal of Information Technology & Decision Making 20:06, pages 1775-1798.
Crossref
Yongbin Wang, Chunjie Xu, Sanqiao Yao, Lei Wang, Yingzheng Zhao, Jingchao Ren & Yuchun Li. (2021) Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition. Scientific Reports 11:1.
Crossref
Zhongqi Li, Qiao Liu, Mengyao Zhan, Bilin Tao, Jianming Wang & Wei Lu. (2021) Meteorological factors contribute to the risk of pulmonary tuberculosis: A multicenter study in eastern China. Science of The Total Environment 793, pages 148621.
Crossref
Ling Chen, Xuefeng Fu, Peng Tian, Qing Li, Dan Lei, Zhangli Peng, Quanxian Liu, Nana Li, Jianyong Zhang, Peng Xu & Hong Zhang. (2021) Upward trends in new, rifampicin-resistant and concurrent extrapulmonary tuberculosis cases in northern Guizhou Province of China. Scientific Reports 11:1.
Crossref
Yang Li, Yali Yang, Cong Yang & Baolin Zhang. (2021) Predicting the Cases of Hepatitis B with the A-LSTM Model. Journal of Physics: Conference Series 1995:1, pages 012007.
Crossref
Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Paulo Germano de Frias, Mirella Bezerra Rodrigues Vilela & Cristine Vieira do Bonfim. (2021) Auto-Regressive Integrated Moving Average Model (ARIMA): conceptual and methodological aspects and applicability in infant mortality. Revista Brasileira de Saúde Materno Infantil 21:2, pages 647-656.
Crossref
Edel Rafael Rodea-Montero, Rodolfo Guardado-Mendoza, Brenda Jesús Rodríguez-Alcántar, Jesús Rubén Rodríguez-Nuñez, Carlos Alberto Núñez-Colín & Lina Sofía Palacio-Mejía. (2021) Trends, structural changes, and assessment of time series models for forecasting hospital discharge due to death at a Mexican tertiary care hospital. PLOS ONE 16:3, pages e0248277.
Crossref
Yongbin Wang, Chunjie Xu, Jingchao Ren, Yuchun Li, Weidong Wu & Sanqiao Yao. (2020) Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China. Environmental Science and Pollution Research 28:6, pages 7281-7294.
Crossref
Gang Wang, Tiantian Wu, Wudi Wei, Junjun Jiang, Sanqi An, Bingyu Liang, Li Ye & Hao Liang. (2021) Comparison of ARIMA, ES, GRNN and ARIMA–GRNN hybrid models to forecast the second wave of COVID-19 in India and the United States. Epidemiology and Infection 149.
Crossref
Andres L. Jutinico, Erika Vergara, Carlos Enrique Awad García, Maria Angélica Palencia & Alvaro David Orjuela-Cañon. (2021) Robust Kalman filter for Tuberculosis Incidence Time Series Forecasting. IFAC-PapersOnLine 54:15, pages 424-429.
Crossref
Duo Yu, Gen Zhu, Xueying Wang, Chenguang Zhang, Babak Soltanalizadeh, Xia Wang, Sanyi Tang & Hulin Wu. (2021) Assessing effects of reopening policies on COVID-19 pandemic in Texas with a data-driven transmission model. Infectious Disease Modelling 6, pages 461-473.
Crossref
Maher Ala’raj, Munir Majdalawieh & Nishara Nizamuddin. (2021) Modeling and forecasting of COVID-19 using a hybrid dynamic model based on SEIRD with ARIMA corrections. Infectious Disease Modelling 6, pages 98-111.
Crossref
Jian Sun. (2021) Forecasting COVID-19 pandemic in Alberta, Canada using modified ARIMA models. Computer Methods and Programs in Biomedicine Update 1, pages 100029.
Crossref
Zhong-Qi Li, Hong-Qiu Pan, Qiao Liu, Huan Song & Jian-Ming Wang. (2020) Comparing the performance of time series models with or without meteorological factors in predicting incident pulmonary tuberculosis in eastern China. Infectious Diseases of Poverty 9:1.
Crossref
Mirxat Alim, Guo-Hua Ye, Peng Guan, De-Sheng Huang, Bao-Sen Zhou & Wei Wu. (2020) Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study. BMJ Open 10:12, pages e039676.
Crossref
Jiaqi Gao, Jiayuan Li & Mengqiao Wang. (2020) Time series analysis of cumulative incidences of typhoid and paratyphoid fevers in China using both Grey and SARIMA models. PLOS ONE 15:10, pages e0241217.
Crossref
Radu Beche, Romina Baila & Anca Marginean. (2020) COVID-19 spread forecast using recurrent auto-encoders. COVID-19 spread forecast using recurrent auto-encoders.
Yishu Li, Limei Zhu, Wei Lu, Cheng Chen & Haitao Yang. (2020) Seasonal variation in notified tuberculosis cases from 2014 to 2018 in eastern China. Journal of International Medical Research 48:8, pages 030006052094903.
Crossref
Zeynep Ceylan. (2020) Estimation of COVID-19 prevalence in Italy, Spain, and France. Science of The Total Environment 729, pages 138817.
Crossref
Ovidiu-Dumitru Ilie, Roxana-Oana Cojocariu, Alin Ciobica, Sergiu-Ioan Timofte, Ioannis Mavroudis & Bogdan Doroftei. (2020) Forecasting the Spreading of COVID-19 across Nine Countries from Europe, Asia, and the American Continents Using the ARIMA Models. Microorganisms 8:8, pages 1158.
Crossref
Yongbin Wang, Chunjie Xu, Weidong Wu, Jingchao Ren, Yuchun Li, Lihui Gui & Sanqiao Yao. (2020) Time series analysis of temporal trends in hemorrhagic fever with renal syndrome morbidity rate in China from 2005 to 2019. Scientific Reports 10:1.
Crossref
Kui Liu, Tao Li, Avina Vongpradith, Fei Wang, Ying Peng, Wei Wang, Chengliang Chai, Songhua Chen, Yu Zhang, Lin Zhou, Xinyi Chen, Qiao Bian, Bin Chen, Xiaomeng Wang & Jianmin Jiang. (2020) Identification and Prediction of Tuberculosis in Eastern China: Analyses from 10-year Population-based Notification Data in Zhejiang Province, China. Scientific Reports 10:1.
Crossref
Ye Ji, Hengfu Cao, Qiao Liu, Zhongqi Li, Huan Song, Dian Xu, Dan Tian, Beibei Qiu & Jianming Wang. (2020) Screening for pulmonary tuberculosis in high-risk groups of diabetic patients. International Journal of Infectious Diseases 93, pages 84-89.
Crossref
Yongbin Wang, Chunjie Xu, Sanqiao Yao & Yingzheng Zhao. (2020) Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced α -Sutte Indicator . Epidemiology and Infection 148.
Crossref