This paper provides a review of the literature regarding methods for constructing prediction
intervals for counting variables, with particular focus on those whose distributions are …

In the analysis of cumulative counts of SARS‐CoV‐2 infections, such as deaths or cases,
common parametric models based on log‐logistic growth curves adapt well to describe a …

In order to formulate necessary strategies related to traveling, it is indispensable to examine
travel behavior under COVID scenario. This study aims at assessing travel behavior in terms …

Climate variables play a critical role in COVID-19's spread. Therefore, this research aims to
analyze the effect of average temperature and relative humidity on the propagation of …

COVID-19 is currently become a global problem, including in Jakarta, Indonesia. There have
been many approaches to predict COVID-19 occurrence, including the forecasting …

The noise in daily infection counts of an epidemic should be super-Poissonian due to
intrinsic epidemiological and administrative clustering. Here, we use this clustering to …

The 2019 novel coronavirus known as the 2019-nCoV or simply COVID-19 has been
declared by the World Health organization (WHO), in first quarter of 2020, as a world …

The COVID-19 pandemic has impacted the way people live worldwide, including the UK. In
this paper, we have proposed a location-wide semiparametric spatiotemporal modelling …

Football is one of the most popular sports in the world. The popularity makes every topic
related to football interesting, for instance, the FIFA World Cup winner prediction. This topic …

El presente estudio tiene el propósito de evaluar modelos de data panel de Poisson y
binomial negativa para predicción de la fatalidad del COVID-19 en el Perú, con la finalidad …