PeerJ

The pandemic state of COVID-19 caused by the SARS CoV-2 put the world in quarantine, led to hundreds of thousands of deaths and is causing an unprecedented economic crisis. However, COVID-19 is spreading in different rates at different countries. Here, we tested the effect of three classes of predictors, i.e., socioeconomic, climatic and transport, on the rate of daily increase of COVID-19. We found that global connections, represented by countries importance in the global air transportation net...

AIMTo investigate the associations of meteorological factors and the daily new cases of coronavirus disease (COVID-19) in nine Asian cities. METHODPearsons correlation and generalized additive modeling were performed to assess the relationships between daily new COVID-19 cases and meteorological factors (daily average temperature and relative humidity) with the most updated data currently available. RESULTSThe Pearson correlation showed that daily new confirmed cases of COVID-19 were more corr...

Objectivemany potential factors contribute to the outbreak of COVID-19.It aims to explore the effects of various meteorological factors on the incidence of COVID-19. MethodsTaking Hubei province of China as an example, where COVID-19 was first reported and there were the most cases, we collected 53 days of confirmed cases (total 67773 cases) and ten meteorological parameters up to March 10. Correlation analysis and linear regression were used to judge the relationship of meteorological factors ...

Gastric cancer (GC) is the fourth leading cause of cancer-related death worldwide. High mortality is largely associated with late diagnosis and tumor heterogeneity, highlighting the need for molecular insights. Epigenetic alterations, including histone modifications and DNA/RNA methylation, play a key role in gene regulation, tumor progression, and therapy response. This study analyzed 179 samples (156 tumor, 23 normal) from patients with gastric adenocarcinoma in Para, Brazil (2017 to 2020). RN...

Head and neck squamous cell carcinoma (HNSCC) is ranked sixth among all the common cancers worldwide and is a major cause of death. A molecular understanding of disease progression can aid in timely diagnosis and therapy. This study aims to identify potential HNSCC biomarkers using a machine learning-based approach to integrate and analyse multi-omics data (namely publicly available Human Papillomavirus (HPV) negative patients multiomics datasets from the CPTAC-HNSCC project, including transcrip...

AIMSThe main purpose of this study is to investigate the correlation between the average daily temperature and the rate of coronavirus epidemic growth in the infected regions. BACKGROUNDThe rapid outbreak of the new Coronavirus (COVID-19) pandemic and the spread of the virus worldwide, especially in the Northern Hemisphere, have prompted various investigations about the impact of environmental factors on the rate of development of this epidemic. Different studies have called attention to variou...

Lung cancer recurrence risk was demonstrated to be related to driver gene and immunotherapy target gene cluster expression abnormality. Nine clusters seeded with driver genes ALK, BRAF, EGFR, MET, NTRK, RAS, RET, ROS1, TP53 and two immunotherapy target genes PDCD1 and CTLA4 were investigated respectively to predict lung cancer recurrence. The cluster of a seed was pre-selected to include fusion partner genes in the case of gene fusion, ligands, its pseudogenes, upstream and downstream co-express...

It was observed that the coldest countries and the eldest in terms of median-age were most distressed by COVID-19 pandemic, while the warmest countries and that have younger-aged population were the least affected. Therefore, this study utilized the non-linear least squares method to estimate the impact of weather temperatures and median age on COVID-19 cases per million in thirty-nine countries divided into two groups. The first group composed of twenty-four countries that announced the first C...

ObjectivesTo observe outbreak of COVID-19 in Henan province caused by the output population from Wuhan, and high-grade control measures were proformed in Henan province, to study the phase of development and change of the epidemic in Henan province, and to make appropriate inferences about the influence of prevention and control measures and the phase of development of the epidemic. MethodsLinear regression analysis were used to establish a linear regression model with the number of Wuhan roami...

The COVID-19 pandemic had led to 500000 confirmed death by June 30, 2020. We combined the number of monthly confirmed new cases and deaths with latitude, temperature, humidity, rainfall, and sunshine ultraviolet (UV) to explore the climate impacts on COVID-19 fatality in 88 countries. There was a significant decrease in overall case-fatality rate in May and June (from 8.17% to 4.99% and 3.22%). The fatality in temperate marine regions was the highest (11.13%). The fatality was 5.71% in high lati...

The world searching for hope has already experienced a huge loss of lives due to COVID-19 caused by SARS-CoV-2 started in Wuhan, China. There are speculations that climatic conditions can slowdown the transmission of COVID-19. Findings from the early outbreak indicated the possible association of air temperature and relative humidity in COVID-19 occurrence in China. Current study focused on whether climatic conditions (temperature and relative humidity) are having any influence in the occurrence...

ObjectiveTo investigate the meteorological condition for incidence and spread of 2019-nCoV infection, to predict the epidemiology of the infectious disease, and to provide a scientific basis for prevention and control measures against the new disease. MethodsThe meteorological factors during the outbreak period of the novel coronavirus pneumonia in Wuhan in 2019 were collected and analyzed, and were confirmed with those of Severe Acute Respiratory Syndrome (SARS) in China in 2003. Data of patie...

At the end of 2019, an outbreak of unknown pathogen pneumonia occurred in China, then it was named corona virus disease 2019 (COVID-19). With the rapid spread of COVID-19, a series of strict prevention and control measures were implemented to cut the spread of the epidemic. Influenza as a respiratory tract infection disease as COVID-19 might also be controlled. To assess the effects, we used the total passenger numbers sent in mainland China from 2018 to 2020 and the daily number of railway pass...

Predicting COVID-19 epidemic development in the upcoming warm season has attracted much attention in the hope of providing helps to fight the epidemic. It requires weather (environmental) factors to be included in prediction models, but there are few models to achieve it successfully. In this study, we proposed a new concept of environmental infection rate (RE), based on floating time of respiratory droplets in the air and inactivation rate of virus to solve the problem. More than half of the pa...

BACKGROUNDSThe ongoing new coronavirus (2019-nCoV) pneumonia outbreak is spreading in China and has not reached its peak. Five millions of people had emigrated from Wuhan before the city lockdown, which potentially represent a source of virus spreaders. Case distribution and its correlation with population emigration from Wuhan in early epidemic are of great importance for early warning and prevention of future outbreak. METHODSThe officially reported cases of 2019-nCoV pneumonia were collected...

BackgroundCurrently, the 2019-nCoV has spread to most countries of the world. Understanding the environmental factors that affect the spread of the disease COVID-19 infection is critical to stop the spread of the disease. The purpose of this study is to investigate whether population density is associated with the infection rate of the COVID-19. MethodsWe collected data from official webpages of cities in China and in the US. The data were uploaded on Excel spreadsheets for statistical analyses...

BackgroundImbalances in glucose and lipid metabolism in the background of a declining immune system, along with aging, make one prone to glucolipotoxicity-related diseases such as hepatic steatosis and to high risk of infection-related mortality, as with COVID-19, warranting a safe prophylactic measure to help regulate both metabolism and the immune system. Based on the beneficial effects of the AFO-202 strain of black yeast Aureobasidium pullulans-produced beta 1,3-1,6 glucan in balancing of bl...

The Cancer Genome Atlas (TCGA) represents a valuable source of genomic and clinical data across different tumor types. In this work, TCGA treatment response information have been manually curated in order to be computationally exploited. Drug names were manually corrected to remove typos and to unify commercial and molecule names. Moreover the drug therapy related information has been reorganized in a table to facilitate readability and analysis. The data were benchmarked with uni and multivaria...

Although at least 400 million people suffer from seasonal allergies worldwide, the adverse effects of pollen on "non-health" outcomes, such as cognition and productivity, are relatively understudied. Using ambulance archives from Japan, we demonstrate that high pollen days are associated with increased accidents and injuries-- one of the most extreme consequences of cognitive impairment. We find some evidence of avoidance behavior in buying allergy products but limited evidence in curtailing out...

Several studies have confirmed the impact of weather conditions on the evolution of the Covid-19 pandemic. We wanted to verify this phenomenon in the city of Oran in Algeria, which experienced its first case of Covid19 on March 19, 2020. The data studied are the new Covid19 cases, the average, minimum and maximum temperatures, as well as the relative humidity rate. A first analysis of the data with a Spearman rank correlation test did not yield significant results. Taking into account the aver...