Cargando…

Imported cases and minimum temperature drive dengue transmission in Guangzhou, China: evidence from ARIMAX model

Dengue is the fastest spreading mosquito-transmitted disease in the world. In China, Guangzhou City is believed to be the most important epicenter of dengue outbreaks although the transmission patterns are still poorly understood. We developed an autoregressive integrated moving average model incorp...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jing, Q. L., Cheng, Q., Marshall, J. M., Hu, W. B., Yang, Z. C., Lu, J. H.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cambridge University Press 2018
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134281/ https://www.ncbi.nlm.nih.gov/pubmed/29781412 http://dx.doi.org/10.1017/S0950268818001176

Ejemplares similares

The increasing menace of dengue in Guangzhou, 2001–2016: the most important epicenter in mainland China
por: Zhang, Zhoubin, et al.
Publicado: (2019)

Impact of weather on COVID-19 transmission in south Asian countries: An application of the ARIMAX model
por: Hossain, Md. Sabbir, et al.
Publicado: (2021)

Predicting Local Dengue Transmission in Guangzhou, China, through the Influence of Imported Cases, Mosquito Density and Climate Variability
por: Sang, Shaowei, et al.
Publicado: (2014)

The interplay of climate, intervention and imported cases as determinants of the 2014 dengue outbreak in Guangzhou
por: Cheng, Qu, et al.
Publicado: (2017)

Climate and the Timing of Imported Cases as Determinants of the Dengue Outbreak in Guangzhou, 2014: Evidence from a Mathematical Model
por: Cheng, Qu, et al.
Publicado: (2016)

Predicting pulmonary tuberculosis incidence in China using Baidu search index: an ARIMAX model approach
por: Yang, Jing, et al.
Publicado: (2023)

Inferring the Spatio-temporal Patterns of Dengue Transmission from Surveillance Data in Guangzhou, China
por: Zhu, Guanghu, et al.
Publicado: (2016)

Spatiotemporal Transmission Patterns and Determinants of Dengue Fever: A Case Study of Guangzhou, China
por: Chen, Yebin, et al.
Publicado: (2019)

Modeling Seasonal Influenza Transmission and Its Association with Climate Factors in Thailand Using Time-Series and ARIMAX Analyses
por: Chadsuthi, Sudarat, et al.
Publicado: (2015)

Molecular characterization and genotype shift of dengue virus strains between 2001 and 2014 in Guangzhou
por: JIANG, L.Y., et al.
Publicado: (2017)

Molecular epidemiology demonstrates that imported and local strains circulated during the 2014 dengue outbreak in Guangzhou, China
por: Li, Geng, et al.
Publicado: (2017)

New genotype invasion of dengue virus serotype 1 drove massive outbreak in Guangzhou, China
por: Ma, Mengmeng, et al.
Publicado: (2021)

Time series analysis of dengue fever and weather in Guangzhou, China
por: Lu, Liang, et al.
Publicado: (2009)

A survey of the 2014 dengue fever epidemic in Guangzhou, China
por: Yang, Liu, et al.
Publicado: (2015)

Epidemiological and Virological Characterizations of the 2014 Dengue Outbreak in Guangzhou, China
por: Zhao, Hui, et al.
Publicado: (2016)

The evidence of indirect transmission of SARS-CoV-2 reported in Guangzhou, China
por: Xie, Chaojun, et al.
Publicado: (2020)

VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends
por: Adu, Williams Kwasi, et al.
Publicado: (2023)

Dengue Underestimation in Guangzhou, China: Evidence of Seroprevalence in Communities With No Reported Cases Before a Large Outbreak in 2014
por: Jing, Qinlong, et al.
Publicado: (2019)

Epidemiological and molecular characterization of dengue viruses imported into Guangzhou during 2009–2013
por: Shi, Yongxia, et al.
Publicado: (2016)

Epidemiological and genomic analysis of dengue cases in Guangzhou, China, from 2010 to 2019
por: Jiang, Liyun, et al.
Publicado: (2023)

Complete Genome Sequence of Dengue Virus Serotype 3 from Guangzhou, China
por: Bai, Zhijun, et al.
Publicado: (2013)

Complete Genome Sequence of Dengue Virus Serotype 4 from Guangzhou, China
por: Bai, Zhijun, et al.
Publicado: (2013)

Modeling and Predicting Pulmonary Tuberculosis Incidence and Its Association with Air Pollution and Meteorological Factors Using an ARIMAX Model: An Ecological Study in Ningbo of China
por: Chen, Yun-Peng, et al.
Publicado: (2022)

Predicting Unprecedented Dengue Outbreak Using Imported Cases and Climatic Factors in Guangzhou, 2014
por: Sang, Shaowei, et al.
Publicado: (2015)

Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China
por: Liu, Kangkang, et al.
Publicado: (2018)

Transmissibility of COVID-19 in 11 major cities in China and its association with temperature and humidity in Beijing, Shanghai, Guangzhou, and Chengdu
por: Guo, Xiao-Jing, et al.
Publicado: (2020)

Developing a Time Series Predictive Model for Dengue in Zhongshan, China Based on Weather and Guangzhou Dengue Surveillance Data
por: Zhang, Yingtao, et al.
Publicado: (2016)

Spatial heterogeneity of knockdown resistance mutations in the dengue vector Aedesalbopictus in Guangzhou, China
por: Zheng, Xueli, et al.
Publicado: (2022)

Epidemiology, evolution and transmission of human metapneumovirus in Guangzhou China, 2013–2017
por: Yi, Lina, et al.
Publicado: (2019)

Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China
por: Oidtman, Rachel J., et al.
Publicado: (2019)

Molecular epidemiological and virological study of dengue virus infections in Guangzhou, China, during 2001–2010
por: Jiang, Liyun, et al.
Publicado: (2013)

The burden of ambient temperature on years of life lost in Guangzhou, China
por: Yang, Jun, et al.
Publicado: (2015)

The dengue preface to endemic in mainland China: the historical largest outbreak by Aedes albopictus in Guangzhou, 2014
por: Luo, Lei, et al.
Publicado: (2017)

Collaboration between meteorology and public health: Predicting the dengue epidemic in Guangzhou, China, by meteorological parameters
por: Chen, Jing, et al.
Publicado: (2022)

Co-circulation of two genotypes of dengue virus serotype 3 in Guangzhou, China, 2009
por: Jiang, Tao, et al.
Publicado: (2012)

Clinical and epidemiological features of the 2014 large-scale dengue outbreak in Guangzhou city, China
por: Lin, Yong Ping, et al.
Publicado: (2016)

Who Is Vulnerable to Dengue Fever? A Community Survey of the 2014 Outbreak in Guangzhou, China
por: Chen, Bin, et al.
Publicado: (2016)

Fast emerging insecticide resistance in Aedes albopictus in Guangzhou, China: Alarm to the dengue epidemic
por: Su, Xinghua, et al.
Publicado: (2019)

Ambient Temperature and the Risk of Preterm Birth in Guangzhou, China (2001–2011)
por: He, Jian-Rong, et al.
Publicado: (2015)

Development of a mechanistic dengue simulation model for Guangzhou
por: Mincham, G., et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_b04hfvaglo9sabcr62rp8llcu9