This paper shows some views on the mathematical structure of the diffusion of the Coronavirus (COVID-19), often claimed to have a positive exponential structure. However, we find that the exponential growth rate is past the inflection point and that growth is much slower than this implication. It presents conclusions on the future expected outcome of the current situation-not only in terms of diffusion of the disease but also for the hysteria that have been created around it
Epidemiologists use mathematical models to predict epidemic trends, and these results are inherently...
The SIR ('susceptible-infectious-recovered') formulation is used to uncover the generic spread mecha...
We have analysed the COVID-19 epidemic data of more than 174 countries (excluding China) in the peri...
This paper shows some views on the mathematical structure of the diffusion of the Coronavirus (COVID...
While COVID-19 is rapidly propagating around the globe, the need for providing real-time forecasts ...
On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Or...
Background: Ending the COVID-19 pandemic is arguably one of the most prominent challenges in recent ...
Funding: This work was partially support by CEAUL (funded by FCT – Fundação para a Ciência e a Tecno...
COVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiologi...
The novel coronavirus SARS-CoV-2 was first identified in China in December 2019. In just over five m...
Understanding the initial growth rate of an epidemic is important for epidemiologists and policy mak...
Due to its excessive capacity for human-to-human transmission, the 2019 coronavirus disease (COVID-1...
After the cases of COVID-19 skyrocketed, showing that it was no longer possible to contain the sprea...
Article develops an allometric model capable of fitting the initial phase of the COVID-19 pandemic a...
The World Health Organization (WHO) asserted the recently discovered severe acute respiratory syndro...
Epidemiologists use mathematical models to predict epidemic trends, and these results are inherently...
The SIR ('susceptible-infectious-recovered') formulation is used to uncover the generic spread mecha...
We have analysed the COVID-19 epidemic data of more than 174 countries (excluding China) in the peri...
This paper shows some views on the mathematical structure of the diffusion of the Coronavirus (COVID...
While COVID-19 is rapidly propagating around the globe, the need for providing real-time forecasts ...
On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Or...
Background: Ending the COVID-19 pandemic is arguably one of the most prominent challenges in recent ...
Funding: This work was partially support by CEAUL (funded by FCT – Fundação para a Ciência e a Tecno...
COVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiologi...
The novel coronavirus SARS-CoV-2 was first identified in China in December 2019. In just over five m...
Understanding the initial growth rate of an epidemic is important for epidemiologists and policy mak...
Due to its excessive capacity for human-to-human transmission, the 2019 coronavirus disease (COVID-1...
After the cases of COVID-19 skyrocketed, showing that it was no longer possible to contain the sprea...
Article develops an allometric model capable of fitting the initial phase of the COVID-19 pandemic a...
The World Health Organization (WHO) asserted the recently discovered severe acute respiratory syndro...
Epidemiologists use mathematical models to predict epidemic trends, and these results are inherently...
The SIR ('susceptible-infectious-recovered') formulation is used to uncover the generic spread mecha...
We have analysed the COVID-19 epidemic data of more than 174 countries (excluding China) in the peri...