Research Article
Volume 12 Issue 8 - 2021
Biostatistical Analysis of the Risks of Spatial Spread during the COVID-19 Pandemic
Bin Zhao1*, Xia Jiang2 and Jinming Cao3*
1School of Science, Hubei University of Technology, Wuhan, Hubei, China
2Hospital, Hubei University of Technology, Wuhan, Hubei, China
3School of Information and Mathematics, Yangtze University, Jingzhou, Hubei, China
*Corresponding Author: Bin Zhao, School of Science, Hubei University of Technology, Wuhan, Hubei, China.
Received: June 02, 2021; Published: July 28, 2021


Introduction: With the unfold of the brand-new coronavirus across the world, governments of diverse nations have all started to apply the mathematical modeling technique to assemble a few virus transmission fashions assessing the dangers of spatial unfold of the brand-new coronavirus COVID-19, at the same time as wearing out epidemic prevention paintings, after which calculate the inflection factor for higher prevention and manage of epidemic transmission. This painting analyzes the unfold of the brand-new coronavirus in China, Italy, Germany, Spain and France and explores the quantitative dating among the increase price of the range of recent coronavirus infections and time.

Background: In December 2019, the primary Chinese sufferers with pneumonia of unknown cause is China admitted to sanatorium in Wuhan, Hubei Jinyintan, due to the fact then, COVID-19 withinside the fast enlargement of China Wuhan, Hubei, in some months’ time, COVID-19 is Soon it unfold to a complete of 34 provincial-degree administrative areas in China and neighboring countries, and Hubei Province right away have become the toughest hit via way of means of the brand new coronavirus. In an emergency situation, we attempt to set up a correct infectious disorder retardation boom version to are expecting the improvement and propagation of COVID-19, and in this basis, make a few short-time period powerful predictions. The production of this version has Relevant departments are beneficial for the prevention and tracking of the brand-new coronavirus, and additionally try for greater time for the scientific trials of Chinese researchers and the studies on vaccines in opposition to the virus to dispose of the brand new corona virus as quickly as possible.

Methods: Collect and evaluate and combine the unfold of COVID-19 in China, Italy, France, Spain and Germany, report the virus transmission fashion amongst human beings in every us of a and the protest measures of applicable authorities departments. According to the unique statistics alternate law, Establish a Logistic increase model.

Findings: Based at the evaluation effects of the Logistic version version, the Logistic version has a very good becoming impact at the real cumulative wide variety of showed cases, that can convey a higher impact to the prediction of the epidemic scenario and the prevention and manage of the epidemic scenario.

Interpretation: In the early degree of the epidemic, because of insufficient anti-epidemic measures in diverse international locations, the epidemic scenario in diverse international locations unfold rapidly. However, with the sluggish knowledge of COVI D -19, the epidemic scenario started out to be step by step controlled, thereby retarding growth.

Keywords: New Coronavirus; Logistic Growth Model; Infection Prediction and Prevention


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Citation: Bin Zhao., et al. “Biostatistical Analysis of the Risks of Spatial Spread during the COVID-19 Pandemic”. EC Orthopaedics 12.8 (2021): 34-40.

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