ArticleScientific reports2021
Predictive analysis of the number of human brucellosis cases in Xinjiang, China.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dynamic Modeling of Prevention and Control ofTransboundary and emerging diseases · 2025Pooled it
- Assessing the spatiotemporal dynamics and driving factors of human brucellosis in Northern Xinjiang, China (2015-2023).Tropical medicine and health · 2026Article
- Integrated Surveillance for Human and Animal Brucellosis in Kenya: A Predictive Analysis.Tropical medicine and infectious disease · 2025Article
- The continuous expansion and spread of human brucellosis in the Xinjiang Uygur Autonomous Region: evidence from epidemiological and strains' genotyping-based analysis.BMC microbiology · 2025Article
- Effectiveness and Safety of Dual Versus Triple Antibiotic Therapy for Treating Brucellosis Infection: A Retrospective Cohort Study.Antibiotics (Basel, Switzerland) · 2025Article
- In silico designed novel multi-epitope mRNA vaccines against Brucella by targeting extracellular protein BtuB and LptD.Scientific reports · 2024Article
- MRI-based interpretable radiomics nomogram for discrimination between Brucella spondylitis and Pyogenic spondylitis.Heliyon · 2024Article
- Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.Frontiers in public health · 2024Article
- MultipleFrontiers in cellular and infection microbiology · 2024Article
- The research on TBATS and ELM models for prediction of human brucellosis cases in mainland China: a time series study.BMC infectious diseases · 2022Article
- Prediction of global omicron pandemic using ARIMA, MLR, and Prophet models.Scientific reports · 2022Article
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- Development and validation of a diagnostic model for differentiating tuberculous spondylitis from brucellar spondylitis using machine learning: A retrospective cohort study.Frontiers in surgery · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brucellosis is one of the major public health problems in China, and human brucellosis represents a serious public health concern in Xinjiang and requires a prediction analysis to help making early planning and putting forward science preventive and control countermeasures. According to the characteristics of the time series of monthly reported cases of human brucellosis in Xinjiang from January 2008 to June 2020, we used seasonal autoregressive integrated moving average (SARIMA) method and nonlinear autoregressive regression neural network (NARNN) method, which are widely prevalent and have high prediction accuracy, to construct prediction models and make prediction analysis. Finally, we established the SARIMA((1,4,5,7),0,0)(0,1,2)
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