ANALYSIS OF FACTORS AFFECTING THE TIME TO THE FIRST CASE OF COVID-19 USING A BIMODAL REGRESSION MODEL

DOI

Bibliographic Information

Other Title
  • 2成分混合回帰モデルを用いた COVID-19 初感染までの時間に影響を与える要因の分析

Abstract

The first case of COVID-19 that was confirmed in Wuhan, Hubei Province China on December 31, 2019, rapidly spread worldwide. Understanding the factors that affect the time it takes for the first COVID-19 infection to be observed will help countries consider the courses of action that they should take in the early stages of the next pandemic. Vigdorovits (2020) considered a gravity model that expressed time to first case as a function of multiple socio-economic factors. Assuming that objective variables follow a Gompertz distribution, he estimated the parameters of the gravity model using accelerated failure time (AFT) survival analysis. However, the distribution of the time to the first case is a bimodal distribution. Therefore, in this study, we estimated the parameters using a bimodal regression model. Our analysis shows that in the early stage of the outbreak, the infection spread to Asian countries that are close to China and to developed countries in Europe and the United States due to the movement of people by airplane. This finding is different from those of previous studies. We have also found that after the middle period of infection, cases spread to countries with large populations in Africa and South America.

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Keywords

Details 詳細情報について

  • CRID
    1390013408148817536
  • DOI
    10.20551/jscswabun.35.1_1
  • ISSN
    21899789
    09148930
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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