Through methods in network theory and time-series analysis, we will analyze the spread of COVID-19 in the United States by determining trends in state-by-state daily cases through a network construction. Previous researchers have found frameworks for approximating the spread of the COVID-19 pandemic and identifying potential rises in cases by a network construction based on correlation of cases between regions [1]. Applying this network construction we determine how this network and its structure act as a predictor for overall COVID-19 cases in the United States by preforming a trend analysis on a variety of network statistics and US COVID-19 cases
Epidemiological modeling is an important problem around the world. This research presents COVID-19 a...
The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we st...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has impacted the world for the past...
When attempting to mitigate the spread of an epidemic without the use of a vaccine, many measures ma...
A novel approach combining time series analysis and complex network theory is proposed to deeply exp...
In December 2019, China announced the breakout of a new virus identified as coronavirus SARS-CoV-2 (...
The global pandemic of COVID-19 over the last 2.5 years have produced an enormous amount of epidemic...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutor: ...
The current COVID-19 epidemic have transformed every aspect of our lives, especially our behavior an...
International audienceWe introduce by the rst time the fundamentals of a new discipline for the inte...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
Coronavirus disease 2019 (COVID-19) was first discovered in China; within several months, it spread ...
I construct a dynamic social-network model of the COVID-19 epidemic which embeds the SIR epidemiolog...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
The effects of COVID-19 and its spreads are attributed to various factors. This study uses CDC open-...
Epidemiological modeling is an important problem around the world. This research presents COVID-19 a...
The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we st...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has impacted the world for the past...
When attempting to mitigate the spread of an epidemic without the use of a vaccine, many measures ma...
A novel approach combining time series analysis and complex network theory is proposed to deeply exp...
In December 2019, China announced the breakout of a new virus identified as coronavirus SARS-CoV-2 (...
The global pandemic of COVID-19 over the last 2.5 years have produced an enormous amount of epidemic...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutor: ...
The current COVID-19 epidemic have transformed every aspect of our lives, especially our behavior an...
International audienceWe introduce by the rst time the fundamentals of a new discipline for the inte...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
Coronavirus disease 2019 (COVID-19) was first discovered in China; within several months, it spread ...
I construct a dynamic social-network model of the COVID-19 epidemic which embeds the SIR epidemiolog...
Time analysis of the course of an infectious disease epidemic is a critical way to understand the dy...
The effects of COVID-19 and its spreads are attributed to various factors. This study uses CDC open-...
Epidemiological modeling is an important problem around the world. This research presents COVID-19 a...
The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we st...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has impacted the world for the past...