AIMC Topic: Dengue
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Modeling Dengue vector population using remotely sensed data and machine learning.
Acta tropica
May 16, 2018
Mosquitoes are vectors of many human diseases. In particular, Aedes ægypti (Linnaeus) is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America and it represents a global threat. Public health policies that aim at combating this v...
Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models.
PloS one
Apr 2, 2018
Globally, the number of dengue cases has been on the increase since 1990 and this trend has also been found in Brazil and its most populated city-São Paulo. Surveillance systems based on predictions allow for timely decision making processes, and in ...
The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison.
Journal of biomedical informatics
Feb 27, 2018
INTRODUCTION: Accurate and timely prediction for endemic infectious diseases is vital for public health agencies to plan and carry out any control methods at an early stage of disease outbreaks. Climatic variables has been identified as important pre...
Communicable Disease Control
Dengue
Infectious Disease Medicine
Hand, Foot and Mouth Disease
Chickenpox
Japan
Climate
Wavelet Analysis
Communicable Diseases
Taiwan
Reproducibility of Results
Singapore
Public Health
Malaria
Incidence
Models, Statistical
Disease Outbreaks
Thailand
Humans
Machine Learning
Algorithms
Forecasting
Developing a dengue forecast model using machine learning: A case study in China.
PLoS neglected tropical diseases
Oct 16, 2017
BACKGROUND: In China, dengue remains an important public health issue with expanded areas and increased incidence recently. Accurate and timely forecasts of dengue incidence in China are still lacking. We aimed to use the state-of-the-art machine lea...
Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.
Neural networks : the official journal of the International Neural Network Society
Sep 21, 2017
This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the diagnosis of four tropical diseases (malaria, typhoid fever, yellow feve...
Describing the breakbone fever: IDODEN, an ontology for dengue fever.
PLoS neglected tropical diseases
Feb 3, 2015
BACKGROUND: Ontologies represent powerful tools in information technology because they enhance interoperability and facilitate, among other things, the construction of optimized search engines. To address the need to expand the toolbox available for ...
A high-resolution GIS and machine learning approach for targeted disease management and localized risk assessment in an urban setup: A case study from Bhopal, Central India.
Acta tropica
Jul 1, 2025
Predicting dengue distribution based on environmental factors is crucial for effective vector control and management as environmental factors like temperature, demographics, and artificial changes such as roads and buildings significantly influence d...
Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy.
BMC infectious diseases
May 27, 2025
The increasing incidence of dengue virus (DENV) infections poses significant public health challenges in Bangladesh, demanding advanced forecasting methodologies to guide timely interventions. This study introduces a rigorous multivariate time series...
Dual level dengue diagnosis using lightweight multilayer perceptron with XAI in fog computing environment and rule based inference.
Scientific reports
May 13, 2025
Over the last fifty years, arboviral infections have made an unparalleled contribution to worldwide disability and morbidity. Globalization, population growth, and unplanned urbanization are the main causes. Dengue is regarded as the most significant...
An exploration of current and future vector-borne disease threats and opportunities for change.
Frontiers in public health
Jan 1, 2025
Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the world's population, particularly in tropical and subtropical regions. Environmental, ecological, climatic, and socio-economic factors are expected to driv...
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