Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review

E Sylvestre, C Joachim, E Cecilia-Joseph… - PLoS neglected …, 2022 - journals.plos.org
Background Traditionally, dengue surveillance is based on case reporting to a central health
agency. However, the delay between a case and its notification can limit the system …

A hybrid EMD-GRNN-PSO in intermittent time-series data for dengue fever forecasting

W Anggraeni, EM Yuniarno, RF Rachmadi… - Expert Systems with …, 2024 - Elsevier
Accurate forecasting of dengue cases number is urgently needed as an early warning
system to prevent future outbreaks. However, forecasting dengue fever cases with …

A scoping review of importation and predictive models related to vector-borne diseases, pathogens, reservoirs, or vectors (1999–2016)

T Sadeghieh, LA Waddell, V Ng, A Hall, J Sargeant - PloS one, 2020 - journals.plos.org
Background As globalization and climate change progress, the expansion and introduction
of vector-borne diseases (VBD) from endemic regions to non-endemic regions is expected …

Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction

F Yavari Nejad, KD Varathan - BMC Medical Informatics and Decision …, 2021 - Springer
Background Dengue fever is a widespread viral disease and one of the world's major
pandemic vector-borne infections, causing serious hazard to humanity. The World Health …

Automated electronic approaches for detecting disease vectors mosquitoes through the wing-beat frequency

DAA Santos, JJPC Rodrigues, V Furtado… - Journal of Cleaner …, 2019 - Elsevier
The knowledge of flying insects wing-beat acoustical properties supported the progress of
sensing disease vectors mosquitoes in free flight. The classification of individual flying …

Predicting Infection Positivity, Risk Estimation, and Disease Prognosis in Dengue Infected Patients by ML Expert System

S Kaur, S Sharma, AU Rehman, ET Eldin, NA Ghamry… - Sustainability, 2022 - mdpi.com
Dengue fever has earned the title of a rapidly growing global epidemic since the disease-
causing mosquito has adapted to colder countries, breaking the notion of dengue being a …

A comparative study on factors used to predict dengue outbreaks using machine learning algorithm

A Mehta, K Patel - AIP Conference Proceedings, 2023 - pubs.aip.org
Aedes mosquitoes spread Dengue which is a viral disease. Every year approximately 100 to
400 million people become victims of dengue all over the world. There is no particular …

Arboviral Epidemic Disease Forecasting—A Survey on Diagnostics and Outbreak Models

S Kaur, S Sharma - … Conference on Data Management, Analytics & …, 2023 - Springer
Globally, the most rampant arboviral disease yearly is Dengue fever with approximately 96
million cases and with the absence of global approved vaccine. Scientists are in continuous …

Dengue Disease Forecasting: Current Outbreak and Diagnostic Model's Analysis

S Kaur, S Sharma - Recent Developments in Electronics and …, 2023 - ebooks.iospress.nl
The global burden of infectious Dengue disease remains a tricky bomb as its explosion is no
longer restricted to tropical/subtropical regions anymore, also the absence of a globally …

IoT-Based solution for disease vector mosquito monitoring

DAA Santos - 2019 - bdtd.ibict.br
O estudo das propriedades ac?? sticas das batidas de asas dos insetos voadores permitiu
avan?? os na detec???? o autom?? tica de mosquitos em v?? o livre. A determina???? o de …