Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Language
Document Type
Year range
1.
Wiley Interdisciplinary Reviews-Computational Statistics ; 2022.
Article in English | Web of Science | ID: covidwho-2173484

ABSTRACT

Disease maps are essential when analyzing spatial epidemiological data, such as newly detected COVID-19 positive cases or suicide deaths, because it is necessary to determine the method of analysis in order to perform spatial statistical analysis. Disease maps give an initial overview of the data and provide evidence of regional trends, which the analyst can check. Therefore, in this article, the author aimed to use R, a statistical data analysis tool, to draw spatial epidemiological data in the form of disease maps. This article presents three different methods and analyzes recent trends in COVID-19 and suicide mortality. The author used monthly data from April, July, and October 2020. The results showed no significant trend in April, but some prefectures showed a negative correlation in July. On the other hand, some prefectures showed a positive correlation in October, confirming the influence of COVID-19 on suicide by region.This article is categorized under:Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization

2.
Journal of Physics D-Applied Physics ; 55(29):10, 2022.
Article in English | Web of Science | ID: covidwho-1852849

ABSTRACT

The recent global pandemic of Corona Virus Disease-19 has impacted all aspects of society, producing a growing demand for a powerful virus inactivation method. To assess a potential and mechanism of human coronavirus inactivation using atmospheric pressure plasma (APP) technology, replication of a human coronavirus (HCoV-229E) after He + H2O APP plume exposure was evaluated using rhesus monkey kidney epithelial cells. The HCoV-229E titers were reduced by 3 log(10)TCID(50) after the APP exposure for 30 s, showing a strong virus-inactivation efficacy of the APP. It was experimentally verified that the APP produced the liquid-phase reactive oxygen and nitrogen species (RONS) at high rates [e.g. (OH)-O-center dot: similar to 1.7 nmol s(-1), H2O2 (including H2O2 precursors): similar to 9.2 nmol s(-1), NO2 (-) (including NO2 (-) precursors): similar to 3.3 nmol s(-1)]. However, an administration of H2O2 with NO2 (-) failed to inactivate the virus and only Mn type superoxide dismutase among several RONS scavengers for (OH)-O-center dot, HO2 (center dot)/O-2 O-center dot-, 1(2), and (NO)-N-center dot/(NO2)-N-center dot was significantly effective for the recovery of the APP-induced decrease in the viral titers. This suggests O-2 (center dot-)-related chemical reaction in a network of interconnected reactions induced by the APP exposure is very important for the APP-induced virus inactivation. These results provide new insight into a more efficient inactivation method of human coronavirus using APPs.

SELECTION OF CITATIONS
SEARCH DETAIL