Structural identifiability and observability of compartmental models of the COVID-19 pandemic
The recent coronavirus disease (COVID-19) outbreak has dramatically increased the public
awareness and appreciation of the utility of dynamic models. At the same time, the …
awareness and appreciation of the utility of dynamic models. At the same time, the …
[HTML][HTML] Mathematical analysis of a COVID-19 model with double dose vaccination in Bangladesh
COVID-19 is an infectious disease that kills millions of people each year and it is a major
public health problem around the globe. The current COVID-19 situation is still now …
public health problem around the globe. The current COVID-19 situation is still now …
Modelling COVID-19 pandemic control strategies in metropolitan and rural health districts in New South Wales, Australia
COVID-19 remains a significant public health problem in New South Wales, Australia.
Although the NSW government is employing various control policies, more specific and …
Although the NSW government is employing various control policies, more specific and …
A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19
The unprecedented outbreak of coronavirus disease has been spread across the world,
affecting the lifestyle of the people. It has significantly changed the way of global education …
affecting the lifestyle of the people. It has significantly changed the way of global education …
A review of COVID-19 modelling strategies in three countries to develop a research framework for regional areas
At the end of December 2019, an outbreak of COVID-19 occurred in Wuhan city, China.
Modelling plays a crucial role in developing a strategy to prevent a disease outbreak from …
Modelling plays a crucial role in developing a strategy to prevent a disease outbreak from …
Determining an effective short term COVID-19 prediction model in ASEAN countries
The challenge of accurately short-term forecasting demand is due to model selection and
the nature of data trends. In this study, the prediction model was determined based on data …
the nature of data trends. In this study, the prediction model was determined based on data …
[HTML][HTML] A novel deep interval type-2 fuzzy LSTM (DIT2FLSTM) model applied to COVID-19 pandemic time-series prediction
Currently, the novel COVID-19 coronavirus has been widely spread as a global pandemic.
The COVID-19 pandemic has a major influence on human life, healthcare systems, and the …
The COVID-19 pandemic has a major influence on human life, healthcare systems, and the …
Risk of COVID-19 infection in public transportation: The development of a model
J Park, G Kim - International journal of environmental research and …, 2021 - mdpi.com
South Korea's social distancing policies on public transportation only involve mandatory
wearing of masks and prohibition of food intake, similar to policies on other indoor spaces …
wearing of masks and prohibition of food intake, similar to policies on other indoor spaces …
[HTML][HTML] Analysis of COVID-19 using a modified SLIR model with nonlinear incidence
Infectious diseases kill millions of people each year, and they are the major public health
problem in the world. This paper presents a modified Susceptible-Latent-Infected-Removed …
problem in the world. This paper presents a modified Susceptible-Latent-Infected-Removed …
Maximal reproduction number estimation and identification of transmission rate from the first inflection point of new infectious cases waves: COVID-19 outbreak …
J Waku, K Oshinubi, J Demongeot - Mathematics and Computers in …, 2022 - Elsevier
The dynamics of COVID-19 pandemic varies across countries and it is important for
researchers to study different kind of phenomena observed at different stages of the waves …
researchers to study different kind of phenomena observed at different stages of the waves …