ArticleBioMed research international2016
Analysis of Spatiotemporal Characteristics of Pandemic SARS Spread in Mainland China.
Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.BMC infectious diseases · 2022Pooled it
- Circular RNA vaccine in disease prevention and treatment.Signal transduction and targeted therapy · 2023Review
- Article
- Bayesian maximum entropy-based prediction of the spatiotemporal risk of schistosomiasis in Anhui Province, China.BMC infectious diseases · 2021Article
- Spatiotemporal distribution of COVID-19 during the first 7 months of the epidemic in Vietnam.BMC infectious diseases · 2021Article
- The human pandemic coronaviruses on the show: The spike glycoprotein as the main actor in the coronaviruses play.International journal of biological macromolecules · 2021Review
- Product of natural evolution (SARS, MERS, and SARS-CoV-2); deadly diseases, from SARS to SARS-CoV-2.Human vaccines & immunotherapeutics · 2021Article
- Impact of meteorological parameters on COVID-19 transmission in Bangladesh: a spatiotemporal approach.Theoretical and applied climatology · 2021Article
- Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China.The Science of the total environment · 2020Article
- Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures.Journal of medical virology · 2020Review
- Spatial Statistics and Influencing Factors of the COVID-19 Epidemic at Both Prefecture and County Levels in Hubei Province, China.International journal of environmental research and public health · 2020Article
- Stochastic and spatio-temporal analysis of the Middle East Respiratory Syndrome outbreak in South Korea, 2015.Infectious Disease Modelling · 2019Article
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6 authors.
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Abstract
Severe acute respiratory syndrome (SARS) is one of the most severe emerging infectious diseases of the 21st century so far. SARS caused a pandemic that spread throughout mainland China for 7 months, infecting 5318 persons in 194 administrative regions. Using detailed mainland China epidemiological data, we study spatiotemporal aspects of this person-to-person contagious disease and simulate its spatiotemporal transmission dynamics via the Bayesian Maximum Entropy (BME) method. The BME reveals that SARS outbreaks show autocorrelation within certain spatial and temporal distances. We use BME to fit a theoretical covariance model that has a sine hole spatial component and exponential temporal component and obtain the weights of geographical and temporal autocorrelation factors. Using the covariance model, SARS dynamics were estimated and simulated under the most probable conditions. Our study suggests that SARS transmission varies in its epidemiological characteristics and SARS outbreak distributions exhibit palpable clusters on both spatial and temporal scales. In addition, the BME modelling demonstrates that SARS transmission features are affected by spatial heterogeneity, so we analyze potential causes. This may benefit epidemiological control of pandemic infectious diseases.
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