Accounting for healthcare-seeking behaviours and testing practices in real-time influenza forecasts
For diseases such as influenza, where the majority of infected persons experience mild (if
any) symptoms, surveillance systems are sensitive to changes in healthcare-seeking and …
any) symptoms, surveillance systems are sensitive to changes in healthcare-seeking and …
SARIMA forecasts of dengue incidence in Brazil, Mexico, Singapore, Sri Lanka, and Thailand: model performance and the significance of reporting delays
Timely and accurate knowledge of Dengue incidence is of value to public health
professionals because it helps to enable the precise communication of risk, improved …
professionals because it helps to enable the precise communication of risk, improved …
Public Health Risk Forecasting with Multiple Machine Learning Methods Combined: Case Study of Influenza Forecasting in Lanzhou, China
C Guorong, W Bin… - Data Analysis and …, 2021 - manu44.magtech.com.cn
[Objective] This study tries to explore the practicability and effectiveness of forecasting public
health risks with machine learning, taken influenza as an example.[Methods] First, we …
health risks with machine learning, taken influenza as an example.[Methods] First, we …