Weather integrated multiple machine learning models for prediction of dengue prevalence in India.

ABSTRACT: Dengue is a rapidly spreading viral disease transmitted to humans by Aedes mosquitoes. Due to global urbanization and climate change, the number of dengue cases are gradually increasing in recent decades. Hence, an early prediction of dengue continues to be a major concern for public health in countries with high prevalence of dengue. Creating a robust forecast model for the accurate prediction of dengue is a complex task and can be done through various data modelling approaches. In the present study, we have applied vector auto regression, generalized boosted models, support vector regression, and long short-term memory (LSTM) to predict the dengue prevalence in Kerala state of the Indian subcontinent. We consider the number of dengue cases as the target variable and weather variables viz

SUBMITTER: Kakarla SG 

PROVIDER: S-EPMC9666965 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature