Evaluating a novel reproduction number estimation method: A comparative analysis

<p>Data and codes for estimating reproduction number for "Evaluating a novel reproduction number estimation method: A comparative analysis"</p><p><strong>Evaluating a novel reproduction number estimation method: A comparative analysis</strong></p><p>This paper presents practical methodologies and demonstrations for determining reproduction number, offering valuable insights to researchers and public health officials. Multiple approaches for simplified estimation techniques are proposed for the reproduction number of infectious diseases, and their effectiveness is compared. Methods assuming either exponential or delta distributions for the generation time of infectious diseases offer convenience by enabling the calculation of the reproduction number based solely on the mean of the generation time and number of new infection cases. However, the former tends to underestimate the reproduction number when the variance of the generation time distribution is small, while the latter tends to overestimate it when the variance is large. Conversely, the method assuming a normal distribution may underestimate the reproduction number depending on the growth rate. However, the estimation method assuming a gamma distribution provides reliable values in all scenarios. These estimation formulas should be applied judiciously, considering the characteristics of the generation time distribution of infectious diseases.</p><p><i>Keywords</i>: Reproduction number; generation time; gamma distribution; Euler-Lotka equation; SARS-CoV-2.</p><p> </p&gt

Chemistry of Natural Surface Water in Volcanic Area

報告番号: 乙16389 ; 学位授与年月日: 2005-12-07 ; 学位の種別: 論文博士 ; 学位の種類: 博士(環境学) ; 学位記番号: 第16389号 ; 研究科・専攻: 新領域創成科学研究

火山地域における天然陸水の水質形成機構

University of Tokyo (東京大学