NexTech 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • UBICOMM 2021, The Fifteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2021, The Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2021, The Eleventh International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2021, The Thirteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics
  • GLOBAL HEALTH 2021, The Tenth International Conference on Global Health Challenges
  • CYBER 2021, The Sixth International Conference on Cyber-Technologies and Cyber-Systems

SoftNet 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances
  • ICSNC 2021, The Sixteenth International Conference on Systems and Networks Communications
  • CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services
  • VALID 2021, The Thirteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation
  • SOTICS 2021, The Eleventh International Conference on Social Media Technologies, Communication, and Informatics
  • INNOV 2021, The Tenth International Conference on Communications, Computation, Networks and Technologies
  • HEALTHINFO 2021, The Sixth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing

NetWare 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • SENSORCOMM 2021, The Fifteenth International Conference on Sensor Technologies and Applications
  • SENSORDEVICES 2021, The Twelfth International Conference on Sensor Device Technologies and Applications
  • SECURWARE 2021, The Fifteenth International Conference on Emerging Security Information, Systems and Technologies
  • AFIN 2021, The Thirteenth International Conference on Advances in Future Internet
  • CENICS 2021, The Fourteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2021, The Fifteenth International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2021, The Seventh International Conference on Fundamentals and Advances in Software Systems Integration
  • GREEN 2021, The Sixth International Conference on Green Communications, Computing and Technologies

TrendNews 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • CORETA 2021, Advances on Core Technologies and Applications
  • DIGITAL 2021, Advances on Societal Digital Transformation

 


ThinkMind // eKNOW 2016, The Eighth International Conference on Information, Process, and Knowledge Management // View article eknow_2016_1_20_60062


A Literature Review of Methods for Dengue Outbreak Prediction

Authors:
Duc Nghia Pham
Syahrul Nellis
Arun Anand Sadanand
Juraina binti Abd. Jamil
Jing Jing Khoo
Tarique Aziz
Dickson Lukose
Sazaly bin Abu Bakar
Abdul Sattar

Keywords: Dengue Outbreak Prediction, Statistical Analysis, Spatial Analysis, Machine Learning

Abstract:
This review provides the current dengue surveillance situation including (i) the factors that contribute to dengue transmission and (ii) the method to combat the disease. Dengue fever now is the most common mosquito-borne disease that infected around 100 billion population, mostly from Asia Pacific. This alboviral disease not only worsens people's health, but also has a great social and economic impact in areas where these endemics arise. Currently, the transmission of this disease is influenced not only by the climatic factors (e.g., rainfall, temperature, wind speed and humidity) but also by non-climatic factors like socio-environmental factors (e.g., population density, land use activity, vector control and transportation). Previously, prevention methods such as vector control, were used by public health agencies in combating the transmission of dengue outbreak. Recently, with the improvement of knowledge and technology, new methods and models are developed, not only for detection but also for prediction of dengue trends and outbreaks. An effective prediction model would be particularly helpful to detect unusual occurrences of disease and to allow for targeted surveillance and control efforts of the disease. In this paper, we review and summarize the development of dengue outbreak tools by researchers in the Asia Pacific region.

Pages: 7 to 13

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-472-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016

SERVICES CONTACT
2010 - 2017 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.