Conveners
[BS1] Impact of COVID-19 on infectious diseases: [BS1] Impact of COVID-19 on infectious diseases
- Jeehyun Lee (Yonsei University)
- Yoon Hong Choi (UK Health Security Agency)
Description
The COVID-19 pandemic has affected many aspects of infectious diseases due to social distancing control measures implemented to reduce the spread of SARS-CoV-2 in the community. Limiting social mixing has resulted in not only decreasing COVID-19 transmission but also reducing transmission of other respiratory infections and disease incidences. This control measure has also affected access to health facilities such as general practices and hospitals which caused delayed appropriate disease treatments. Some unusual occurrences of infectious diseases have been observed in many parts of the world including Monkeypox outbreaks, unusual timing of RSV (Respiratory Syncytial Virus) outbreaks, and so on. In this session, we would like to discuss the impact of COVID-19 and the influence of COVID-19 control measures on other infectious diseases during and after COVID-19 in different country settings, and mathematical modelling work on those phenomena.
This talk will provide an overview of the modelling and analysis that was undertaken in response to the global outbreak of MPOX in May 2022. The UK Health Security Agency (UKHSA) convened a modelling consortium comprising of both internal and external modellers and analysts to provide model based analysis to inform questioned posed by the National Incident Coordinating Committee within UKHSA....
We investigate an optimal control problem of various epidemic models with uncertainty using stochastic differential equations, random differential equations, and agent-based models. We discuss deep reinforcement learning (RL), which combines RL with deep neural networks, as one method to solve the optimal control problem. The deep Q-network algorithm is introduced to approximate an...
The COVID-19 pandemic that started in 2020 coincided with large changes in the epidemiology of many other infectious diseases. These changes were likely driven by the large-scale behavioural changes in populations around the world. This talk summarises empirical and modelling investigations on the way that the COVID-19 pandemic (and associated interventions) affected other infectiou diseases.
In the early days of the pandemic, there was a lack of information about COVID-19, and there were many variables and trial and error. However, as information about COVID-19 began to accumulate, the government began to analyze various data to create new policies, and began to develop policies based on mathematical modeling based on this accumulated data.
First, mathematical modeling was used...
