Predicting the dengue cluster outbreak dynamics in Yogyakarta, Indonesia: a modelling study
暂无分享,去创建一个
[1] N. Jewell,et al. Disruption of spatiotemporal clustering in dengue cases by wMel Wolbachia in Yogyakarta, Indonesia , 2022, Scientific Reports.
[2] H. Folmer,et al. Spatiotemporal high-resolution prediction and mapping: methodology and application to dengue disease , 2022, Journal of Geographical Systems.
[3] Christopher R. Prentice,et al. Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic? , 2021, Social Science & Medicine.
[4] J. de Andrés,et al. A comparison of multiple neighborhood matrix specifications for spatio-temporal model fitting: a case study on COVID-19 data , 2021, Stochastic Environmental Research and Risk Assessment.
[5] N. Jewell,et al. Efficacy of Wolbachia-infected mosquito deployments for the control of dengue , 2021, The New England journal of medicine.
[6] A. Gasparrini,et al. Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study. , 2021, The Lancet. Planetary health.
[7] Luis Roman Carrasco,et al. Spatio-temporal analysis of the main dengue vector populations in Singapore , 2021, Parasites & vectors.
[8] Zhilin Zeng,et al. Global, regional, and national dengue burden from 1990 to 2017: A systematic analysis based on the global burden of disease study 2017 , 2021, EClinicalMedicine.
[9] William H. Elson,et al. Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics , 2021, PLoS Comput. Biol..
[10] S. Hay,et al. Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study , 2019, BMC Medicine.
[11] J. Rocklöv,et al. Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017 , 2019, Emerging infectious diseases.
[12] J. Rocklöv,et al. A combination of incidence data and mobility proxies from social media predicts the intra-urban spread of dengue in Yogyakarta, Indonesia , 2019, PLoS neglected tropical diseases.
[13] A Aswi,et al. Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review , 2018, Epidemiology and Infection.
[14] R. T. Sasmono,et al. Baseline Characterization of Dengue Epidemiology in Yogyakarta City, Indonesia, before a Randomized Controlled Trial of Wolbachia for Arboviral Disease Control , 2018, The American journal of tropical medicine and hygiene.
[15] Scott A. Hale,et al. Estimating local commuting patterns from geolocated Twitter data , 2016, EPJ Data Science.
[16] Cécile Viboud,et al. Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems. , 2016, The Journal of infectious diseases.
[17] Hari Kusnanto,et al. Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data , 2016, PloS one.
[18] Laurent Hébert-Dufresne,et al. Enhancing disease surveillance with novel data streams: challenges and opportunities , 2015, EPJ Data Science.
[19] Jiajun Liu,et al. Understanding Human Mobility from Twitter , 2014, PloS one.
[20] O. Horstick,et al. Modeling tools for dengue risk mapping - a systematic review , 2014, International Journal of Health Geographics.
[21] A. Hoes,et al. The changing incidence of Dengue Haemorrhagic Fever in Indonesia: a 45-year registry-based analysis , 2014, BMC Infectious Diseases.
[22] Joacim Rocklöv,et al. Vectorial Capacity of Aedes aegypti: Effects of Temperature and Implications for Global Dengue Epidemic Potential , 2014, PloS one.
[23] T. Scott,et al. House-to-house human movement drives dengue virus transmission , 2012, Proceedings of the National Academy of Sciences.
[24] Antonio Gasparrini,et al. Distributed Lag Linear and Non-Linear Models in R: The Package dlnm. , 2011, Journal of statistical software.
[25] H. Rue,et al. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations , 2009 .
[26] A. Raftery,et al. Strictly Proper Scoring Rules, Prediction, and Estimation , 2007 .
[27] J. Besag,et al. Bayesian image restoration, with two applications in spatial statistics , 1991 .