The available data on the spread of COVID-19 in China has been used to estimate the parameters of epidemiological models in a population stratified based on age distribution. The models can then be adapted and used for other countries or populations with different age distributions. The resulting models can be used to calculate the trajectory of the spread of the disease in various age groups in different countries. More importantly, it can be used to predict the effects of different containment strategies on the spread of COVID-19
The 2019-2020 pandemic of atypical pneumonia (COVID-19) caused by the virus SARS-CoV-2 has spread gl...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
In a pending pandemic, early knowledge of age-specific disease parameters, e.g., susceptibility, inf...
Epidemiological models have been of immense use in modelling the spread of infectious diseases and t...
The following slides presents an analysis of the spread of COVID-19 inGermany, and the effects of di...
COVID-19 disease caused by the novel SARS-CoV-2 coronavirus has already brought unprecedented challe...
In this paper, we study the effectiveness of the modelling approach on the pandemic due to the sprea...
The 2019-2020 pandemic of atypical pneumonia (COVID-19) caused by the virus SARS-CoV-2 has spread gl...
In this article, we investigate the importance of demographic and contact patterns in determining th...
Paper presented at Strathmore International Math Research Conference on July 23 - 27, 2012Paper pres...
Social distancing is an effective method of impeding the spread of a novel disease such as severe ac...
The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of mathematical modeling...
Relevant pandemic-spread scenario simulations can provide guiding principles for containment and mit...
In this paper we develop a mathematical model for the spread of the coronavirus disease 2019 (COVID-...
Background: The major medical and social challenge of the 21st century is COVID-19, caused by the no...
The 2019-2020 pandemic of atypical pneumonia (COVID-19) caused by the virus SARS-CoV-2 has spread gl...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
In a pending pandemic, early knowledge of age-specific disease parameters, e.g., susceptibility, inf...
Epidemiological models have been of immense use in modelling the spread of infectious diseases and t...
The following slides presents an analysis of the spread of COVID-19 inGermany, and the effects of di...
COVID-19 disease caused by the novel SARS-CoV-2 coronavirus has already brought unprecedented challe...
In this paper, we study the effectiveness of the modelling approach on the pandemic due to the sprea...
The 2019-2020 pandemic of atypical pneumonia (COVID-19) caused by the virus SARS-CoV-2 has spread gl...
In this article, we investigate the importance of demographic and contact patterns in determining th...
Paper presented at Strathmore International Math Research Conference on July 23 - 27, 2012Paper pres...
Social distancing is an effective method of impeding the spread of a novel disease such as severe ac...
The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of mathematical modeling...
Relevant pandemic-spread scenario simulations can provide guiding principles for containment and mit...
In this paper we develop a mathematical model for the spread of the coronavirus disease 2019 (COVID-...
Background: The major medical and social challenge of the 21st century is COVID-19, caused by the no...
The 2019-2020 pandemic of atypical pneumonia (COVID-19) caused by the virus SARS-CoV-2 has spread gl...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
In a pending pandemic, early knowledge of age-specific disease parameters, e.g., susceptibility, inf...