ArticleInternational journal of environmental research and public health2019
Prediction of Human Brucellosis in China Based on Temperature and NDVI.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Spatiotemporal dynamics and environmental factors of human brucellosis in mainland China, 2004-2022.BMC infectious diseases · 2026Article
- Assessing the spatiotemporal dynamics and driving factors of human brucellosis in Northern Xinjiang, China (2015-2023).Tropical medicine and health · 2026Article
- Global distribution and multidimensional risk assessment of brucellosis in humans, livestock, and wildlife.Frontiers in microbiology · 2026Article
- Spatiotemporal trends and ecological determinants of human brucellosis among 31 provinces in mainland China, 2004-2021: a Bayesian spatiotemporal modeling study.BMC public health · 2025Article
- Interactions between brucellosis and environmental factors: spatiotemporal epidemiology from Xinjiang, China.BMC public health · 2025Article
- Change point detection in brucellosis time series from 2010 to 2023 in Xinjiang China using the BEAST algorithm.Scientific reports · 2025Article
- Risk effects of environmental factors on human brucellosis in Aksu Prefecture, Xinjiang, China, 2014-2023.Scientific reports · 2025Article
- Risk effects of meteorological factors on human brucellosis in Jilin province, China, 2005-2019.Heliyon · 2024Article
- Application of immunomodulatory therapy in a human brucellosis patient with pancytopenia: A case report.Heliyon · 2023Article
- Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses.Infectious diseases of poverty · 2023Article
- Driving effect of multiplex factors on human brucellosis in high incidence region, implication for brucellosis based on one health concept.One health (Amsterdam, Netherlands) · 2022Article
- Predicting the Spread of SARS-CoV-2 in Italian Regions: The Calabria Case Study, February 2020-March 2022.Diseases (Basel, Switzerland) · 2022Article
- Exploring risk transfer of human brucellosis in the context of livestock agriculture transition: A case study in Shaanxi, China.Frontiers in public health · 2022Article
- Article
- Transmission dynamics of brucellosis: Mathematical modelling and applications in China.Computational and structural biotechnology journal · 2020Review
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Brucellosis occurs periodically and causes great economic and health burdens. Brucellosis prediction plays an important role in its prevention and treatment. This paper establishes relationships between human brucellosis (HB) and land surface temperature (LST), and the normalized difference vegetation index (NDVI). A seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model is constructed to predict trends in brucellosis rates. The fitted results (Akaike Information Criterion (AIC) = 807.58, Schwarz Bayes Criterion (SBC) = 819.28) showed obvious periodicity and a rate of increase of 138.68% from January 2011 to May 2016. We found a significant effect between HB and NDVI. At the same time, the prediction part showed that the highest monthly incidence per year has a decreasing trend after 2015. This may be because of the brucellosis prevention and control measures taken by the Chinese Government. The proposed model allows the early detection of brucellosis outbreaks, allowing more effective prevention and control.
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