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Forecasting dengue epidemics using a hybrid methodology

Published:2019-08 Issue: Volume:527 Page:121266
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Chakraborty Tanujit,Chattopadhyay Swarup,Ghosh Indrajit

Funder

Indian Statistical Institute

Visvesvaraya Ph.D. Scheme, India

University Grants Commission, India

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference35 articles.

1. Refining the global spatial limits of dengue virus transmission by evidence-based consensus;Brady;PLoS Negl. Trop. Dis.,2012

2. Global spread of dengue virus types: mapping the 70 year history;Messina;Trends Microbiol.,2014

3. The global distribution and burden of dengue;Bhatt;Nature,2013

4. Clinical development and regulatory points for consideration for second-generation live attenuated dengue vaccines;Vannice;Vaccine,2018

5. Current status, challenges and perspectives in the development of vaccines against yellow fever, dengue, Zika and chikungunya viruses;Silva;Acta Trop,,2018

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1. A Hybrid Forecasting Structure Based on Arima and Artificial Neural Network Models;Applied Sciences;2024-08-14

2. A deep learning architecture using hybrid and stacks to forecast weekly dengue cases in Laos;The European Physical Journal B;2024-08

3. Forecasting deep learning-based risk assessment of vector-borne diseases using hybrid methodology;Technology and Health Care;2024-06-21

4. A hybrid recursive direct system for multi-step mortality rate forecasting;The Journal of Supercomputing;2024-05-17

5. A hybrid EMD-GRNN-PSO in intermittent time-series data for dengue fever forecasting;Expert Systems with Applications;2024-03

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