Babak Jamshidi

King's College London | KCL · KiTEC

Dexamethasone can reduce mortality in hospitalised COVID-19 patients needing oxygen and ventilation by 18% and 36%, respectively. Here, we estimate the potential number of lives saved and life years gained if this treatment were to be rolled out in the UK and globally, as well as the cost-effectiveness of implementing this intervention. Assuming SA...

Background COVID-19 is the most informative pandemic in history. These unprecedented recorded data give rise to some novel concepts, discussions, and models. Macroscopic modeling of the period of hospitalization is one of these new issues. Methods Modeling of the lag between diagnosis and death is done by using two classes of macroscopic analytica...

Objectives Delayed post-gadolinium magnetic resonance imaging (MRI) detects changes of endolymphatic hydrops (EH) within the inner ear in Meniere’s disease (MD). A systematic review with meta-analysis was conducted to summarise the diagnostic performance of MRI descriptors across the range of MD clinical classifcations. Materials and methods Case-c...

Recent advances in medical instruments, information technology, and unprecedented data sharing allowed scientists to investigate, trace, and monitor the COVID-19 pandemic faster than any previous outbreak. This extraordinary speed makes COVID-19 a medical revolution that causes some unprecedented analyses, discussions, and models. Modeling the depe...

In this paper, we propose a new class of bivariate Farlie–Gumbel–Morgenstern (FGM) copula. This class includes some known extensions of FGM copulas. Some general formulas for well-known association measures of this class are obtained, and various properties of the proposed model are studied. The tail dependence range of the new class is 0 to 1, and...

Background. Patients with membranous nephropathy (MN) and poor kidney function or active disease despite previous immunosuppression are underrepresented in clinical trials. It is unknown how effective rituximab is in this population. Methods. This prospective, multi-centre, single-arm, real-world study of patients with active MN [urine protein-crea...

Background and Objective: Near-death experiences (NDEs) greatly change the lives of Near-death experiencers (NDErs); however, the influence of the knowledge of these experiences on other people is unclear. Therefore, the present study aimed to investigate the effects of knowledge of NDEs on various aspects of life and the sleep quality of those wit...

The epidemic of COVID-19 has been the most mathematically informative pandemic. The unprecedented information gives rise to some unprecedented models, problems, and discussions. One of these new matters is modeling the epicenters of a pandemic. The present paper is the first attempt to model the waiting time to introduce a new epicenter during a pa...

In this article, we introduce a new model derived from P olya-Eggenberger urn model. This model is defined by considering a delay in collecting information. The mathematical formulation of this model is done through four parameters; the number of balls in the first structure (N 0), the number of white balls in the first structure (W 0), the number...

Introduction: There are different mathematical models describing the propagation of an epidemic. These models can be divided into phenomenological, compartmental, deep learning, and individual-based methods. From other viewpoints, we can classify them into macroscopic or microscopic, stochastic or deterministic, homogeneous or heterogeneous, univar...

Background & Objective: NDEs exert many effects on the life of near-death experiencers (NDErs), but it is unclear how the knowledge of these experiences influences the other people. To this end, the present study investigates the effects of knowledge of NDEs on various aspects of life and the sleep quality of people without NDEs. Methods: The resea...

Average (ARIMA) models. The best fitted ARIMA models were chosen based on the minimum value of the selection criterion, Akaike information criteria (AIC) and Bayesian information criteria (BIC). ARIMA (0, 2, 1) model was found suitable for all areas and production, whereas ARIMA (0, 2, 0) model was best fitted for forecasting vegetable productivity...

Forecasting of vegetable area, production, and productivity of Nepal was made from the historical data of 1977/78 to 2019/20 by using the Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models. The best fitted ARIMA models were chosen based on the minimum value of the selection criterion, Akaike information criteria (AIC) and Bayesian...

The present paper defines a novel time series model able to describe spreading a communicable infection on a population. The modeling is done by studying the relative increment of the cumulative number of confirmed cases. The introduced model can describe different stages of the first wave of the outbreak of a communicable disease from the start to...

It is well known that in some interacting systems on trees such as branching random walk and percolation, the survival phase is not influenced by adding or removing the finitely many degrees of the vertices. In this paper, the validity of this hypothesis is queried about the contact process. The present study aims to relate the lower critical value...

Background Applying recent advances in medical instruments, information technology, and unprecedented data sharing into COVID-19 research revolutionized medical sciences, and causes some unprecedented analyses, discussions, and models. Methods Modeling of this dependency is done using four classes of copulas: Clayton, Frank, Gumbel, and FGM. The es...

There are many examples where a variable affects another one with a delay especially in the fields of signal processing, psychology, neuroscience, and clinical trial. The present paper introduces some novel methods to obtain the delay in appearing the effect of a control variable on the response variable. In addition to the scales of the cross-c...

Background: COVID-19 is the most informative pandemic in history. These unprecedented recorded data give rise to some novel concepts, discussions, and models. Macroscopic modeling of the period of hospitalization is one of these new issues. Methods: Modeling of the lag between diagnosis and death is done by using two classes of macroscopic analy...

Background Quality of life (QOL) is one of the major factors to assessing the health and wellbeing of People living with HIV (PLWH). Likewise, improved QOL is among the prominent goals of patient treatment. This study was conducted to investigate the QOL of PLWH in Kermanshah, Iran. Methods This cross-sectional study was conducted on 364 PLWH of K...

This is the most comprehensive collected data on COVID-19. It is basis if our COVID-19 project. Hasell, J., Mathieu, E., Beltekian, D. et al. A cross-country database of COVID-19 testing. Sci Data 7, 345 (2020): https://ourworldindata.org/coronavirus-testing

This data was downloaded from https://data.europa.eu/euodp/en/data/dataset/covid-19-coronavirus-data/resource/55e8f966-d5c8-438e-85bc-c7a5a26f4863 It is basis for some correlational/ecological research. We have used it in our ongoing COVID-19 project.

P olya urn models are of the well-known probabilistic concepts and sto-chastic processes. The proportion of the colors is the question of the most interest in these models. Always, the structure (The number of all the balls in the urn and the proportion of the colors) of the urn at the beginning is given. Also, in the studies where the outcome of c...

Introduction. The first cases of infection to COVID-19 were reported in late 2019 in Wuhan, China. In less than three months, almost every country in the world faced the epidemic. The speed of the spread and the extent of severity of it caused medical researchers to pay attention to it very soon. One of the most important aspects of research in thi...

Introduction Time series models are one of the frequently used methods to describe the pattern of spreading an epidemic. Methods We presented a new family of time series models able to represent the cumulative number of individuals that contracted an infectious disease from the start to the end of the first wave of spreading. This family is flexib...

Background The wide spread of COVID-19 in the US has placed the country as the most infected population worldwide. This paper aims to forecast the number of confirmed cases and mortalities from 12 April to 21 May, 2020. There has been a large body of literature in forecasting epidemic outbreaks such as C algorithms with shortfall of predicting for...

We aim at forecasting the outbreak of COVID-19 in Italy by using a two-part time series to model the daily relative increments. Our model is based on the data observed from 22 February to 8 April 2020 and its objective is forecasting 40 days from 9 April to 18 May 2020. All the calculations, simulations, and results in the present paper have been d...

N/A

In epidemiology, the modeling of epicenters is important both conceptually and mathematically. This paper is an attempt to model epicenters mathematically. We present an algorithm to find new epicenters. Applying our model for the data related to COVID-19 pandemic, we obtain epicenters in China, South Korea, Iran, Italy, France, Germany, Spain, the...

Background The UK is one of the epicenters of COVID-19 in the world. As of 14 April, there have been 93,873 confirmed patients of COVID-19 in the UK, and 12,107 deaths with confirmed infection. On 14 April, it was reported that COVID-19 was the cause of more than half of the deaths in London. Methods The present paper addresses the modeling and fo...

Background: In the social sciences, statistical analysis has reached a special place. One of the most important tools of the statistical profession is stochastic processes in general and time series in particular, in which the element of time is included in the analysis. Objective: The subject of this study is suicide in Ilam province. The data wer...

Background: It is extremely useful to construct mathematical models to forecast and control real phenomena. One of the common applied statistical models to represent the data involving with time is the time series modeling. A novel time series model to represent the propagation of an epidemic infection in a population is presented. The model deals...

In epidemiology, the modeling of epicenters is important both conceptually and mathematically. This paper is an attempt to model epicenters mathematically. We present an algorithm to find new epicenters. Applying our model for the data related to COVID-19 pandemic, we obtain epicenters and Switzerland, on the days 1, 35, 42, 42, 49, 50, 50, 50, and...

Background: Over 150,000 confirmed cases, around 140 countries, and about 6,000 death occurred owing to coronavirus disease 2019 (COVID-19) pandemic in China, Italy, Iran, and South Korea. Iran reported its first confirmed cases of COVID-19 in Qom City on 19 February 2020 and has the third-highest number of COVID-19 deaths after China and Italy and...

We present a new family of time series models able to deal with the cumulative number of individuals that contracted the disease from the start to the end of spreading. This family is flexible enough to describe the propagation of almost all infectious diseases. After a general discussion on competent time series to model the outbreak of a communic...

In the present paper, our objective is to forecast the spread of the pandemic of COVID-19 in terms of the number of confirmed cases and deaths. The paper is based on a two-part to model the time series of the daily relative increments whose second part solely models the pattern of the death rate. All the simulations and calculations have been done...

The present paper defines a novel time series model able to describe spreading a communicable infection on a population. The modeling is done by studying the relative increment of the cumulative number of confirmed cases. The introduced model can describe different stages of the outbreak of a communicable disease from the start to the end of spread...

In this paper, we define and study a stochastic SIR model on the class of regular rooted trees, in order to describe the spread of an epidemic on a closed population. A generalized geometric random variable is defined, which is essential for our study in this stochastic process. The main objective of this paper is to obtain the distribution of rand...

In this paper, we propose an asymmetric class of bivariate copulas.This class is obtained through limiting properties of the extended copula introduced by Bekrizadeh, et al. (20151. Bekrizadeh, H., Parham, G. A., Zadkarami, M. R. (2015). Extending some classes of copulas; Applications. Ph.D. Thesis, University of Shahid Chamran, Ahvaz.View all refe...

The optimal choice of sites to make spatial prediction is critical for a better understanding of really spatio-temporal data. It is important to obtain the essential spatio-temporal variability of the process in determining optimal design, because these data tend to exhibit both spatial and temporal variability. Two new methods of prediction for...

In this thesis, a Gaussin stochastic process entitled fractional Brownian process was introduced. This process has stationary increments, self-similarity and long-range dependence properties. These properties make fractional Brownian motion a suitable driving noise specially in Mathematical Finance. in order to analyse and develop applications, one...