Develo** a dengue forecast model using machine learning: A case study in China
Background In China, dengue remains an important public health issue with expanded
areas and increased incidence recently. Accurate and timely forecasts of dengue incidence …
areas and increased incidence recently. Accurate and timely forecasts of dengue incidence …
Statistical modeling of the effect of rainfall flushing on dengue transmission in Singapore
CM Benedum, OME Seidahmed… - PLoS neglected …, 2018 - journals.plos.org
Background Rainfall patterns are one of the main drivers of dengue transmission as
mosquitoes require standing water to reproduce. However, excess rainfall can be disruptive …
mosquitoes require standing water to reproduce. However, excess rainfall can be disruptive …
Temporal and spatiotemporal arboviruses forecasting by machine learning: a systematic review
Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they
are part of the Neglected Tropical Diseases that pose several public health challenges for …
are part of the Neglected Tropical Diseases that pose several public health challenges for …
An innovative big data predictive analytics framework over hybrid big data sources with an application for disease analytics
Nowadays, big data are everywhere. Examples of big data include weather data, web-
search data, disease reports, as well as epidemic data and statistics. These big data can be …
search data, disease reports, as well as epidemic data and statistics. These big data can be …
Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas
Dengue is a vector-borne disease transmitted by the Aedes genus mosquito. It causes
financial burdens on public health systems and considerable morbidity and mortality …
financial burdens on public health systems and considerable morbidity and mortality …
Personalized attraction recommendation system for tourists through check-in data
Online social networks now play a prominent role in our daily lives and our decisions and
behaviors in many areas. Of particular interest here is the application of social network data …
behaviors in many areas. Of particular interest here is the application of social network data …
Prediction using a neural network algorithm approach (a review)
Artificial Intelligence Neural Networks are one of the techniques used for prediction. This
ANN is rapidly evolving. At the moment, neural networks are implementing used a variety of …
ANN is rapidly evolving. At the moment, neural networks are implementing used a variety of …
Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and …
Background In the past few decades, several researchers have proposed highly accurate
prediction models that have typically relied on climate parameters. However, climate factors …
prediction models that have typically relied on climate parameters. However, climate factors …
Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree
Dengue fever is a disease that has been outbreak worldwide in the last few years. Dengue
is a fatal disease; sometimes, it may cause life-threatening complications and even death …
is a fatal disease; sometimes, it may cause life-threatening complications and even death …
COVID-19 pandemic: a comparative prediction using machine learning
R Sadik, ML Reza, A Al Noman… - International …, 2020 - researchlakejournals.com
Coronavirus Disease 2019 or COVID-19 is an infectious disease which is declared as a
pandemic by the World Health Organization (WHO) have a noxious effect on the entire …
pandemic by the World Health Organization (WHO) have a noxious effect on the entire …