The COVID-19 pandemic is one of the most pressing issues at present. A question which is particularly important for governments and policy makers is the following: Does the virus spread in the same way in different countries? Or are there significant differences in the development of the epidemic? In this paper, we devise new inference methods that allow to detect differences in the development of the COVID-19 epidemic across countries in a statistically rigorous way. In our empirical study, we use the methods to compare the outbreak patterns of the epidemic in a number of European countries
We have presented in the current analytic research the generating formulae and results of direct mat...
Abstract Scientists and policymakers need to compare the incidence of Covid-19 across territories or...
Data from the early stage of a novel infectious disease outbreak provide vital information in risk a...
We present a self-synchronizing and robust method for comparing the progression of the Covid-19 epid...
This paper introduces new methods to analyze the changing progression of COVID-19 cases to deaths in...
This paper introduces new methods to analyze the changing progression of COVID-19 cases to deaths in...
In this paper, we study the trending behaviour of COVID-19 data at country level, and draw attention...
In this paper, we continue development of the new epidemiological model [10], which is suitable for ...
We have analysed the COVID-19 epidemic data of more than 174 countries (excluding China) in the peri...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
Abstract Comparison of COVID-19 trends in space and over time is essential to monitor the pandemic a...
This study analyzes the dynamics of Covid-19 lethality using a global sample of 137 countries for t...
Containment strategies to combat epidemics such as SARS-CoV-2/COVID-19 require the availability of e...
We analyzed COVID-19 data through May 6th, 2020 using a partially observed Markov process. Our metho...
We have presented in the current analytic research the generating formulae and results of direct mat...
Abstract Scientists and policymakers need to compare the incidence of Covid-19 across territories or...
Data from the early stage of a novel infectious disease outbreak provide vital information in risk a...
We present a self-synchronizing and robust method for comparing the progression of the Covid-19 epid...
This paper introduces new methods to analyze the changing progression of COVID-19 cases to deaths in...
This paper introduces new methods to analyze the changing progression of COVID-19 cases to deaths in...
In this paper, we study the trending behaviour of COVID-19 data at country level, and draw attention...
In this paper, we continue development of the new epidemiological model [10], which is suitable for ...
We have analysed the COVID-19 epidemic data of more than 174 countries (excluding China) in the peri...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
Abstract Comparison of COVID-19 trends in space and over time is essential to monitor the pandemic a...
This study analyzes the dynamics of Covid-19 lethality using a global sample of 137 countries for t...
Containment strategies to combat epidemics such as SARS-CoV-2/COVID-19 require the availability of e...
We analyzed COVID-19 data through May 6th, 2020 using a partially observed Markov process. Our metho...
We have presented in the current analytic research the generating formulae and results of direct mat...
Abstract Scientists and policymakers need to compare the incidence of Covid-19 across territories or...
Data from the early stage of a novel infectious disease outbreak provide vital information in risk a...