Abstract

The E/S (exposed/susceptible) ratio is analyzed in the SEIR model. The ratio plays a key role in understanding epidemic dynamics during the 2014–2016 Ebola outbreak in Sierra Leone and Guinea. The maximum value of the ratio occurs immediately before or after the time-dependent reproduction number (Rt) equals 1, depending on the initial susceptible population (S(0)). It is demonstrated that transmission rate curves corresponding to various incubation periods intersect at a single point referred to as the Cross Point (CP). At this point, the E/S ratio reaches an extremum, signifying a critical shift in transmission dynamics and aligning with the time when Rt approaches 1. By plotting transmission rate curves, β(t), for any two arbitrary incubation periods and tracking their intersections, we can trace CP over time. CP serves as an indicator of epidemic status, especially when Rt is close to 1. It provides a practical means of monitoring epidemics without prior knowledge of the incubation period. Through a case study, we estimate the transmission rate and reproduction number, identifying CP and Rt = 1 while examining the E/S ratio across various values of S(0).

Details

Title
A novel indicator in epidemic monitoring through a case study of Ebola in West Africa (2014–2016)
Author
Kwak, Minkyu 1 ; Sun, Xiuxiu 2 ; Wi, Yunju 1 ; Nah, Kyeongah 3 ; Kim, Yongkuk 4 ; Jin, Hongsung 1 

 Chonnam National University, Department of Mathematics and Statistics, Gwangju, South Korea (GRID:grid.14005.30) (ISNI:0000 0001 0356 9399) 
 Luoyang Institute of Science and Technology, Department of Mathematics and Physics, Henan, China (GRID:grid.459728.5) (ISNI:0000 0000 9694 8429) 
 National Institute of Mathematical Sciences, Busan Center for Medical Mathematics, Busan, South Korea (GRID:grid.419553.f) (ISNI:0000 0004 0500 6567) 
 Kyungpook National University, Department of Mathematics, Daegu, South Korea (GRID:grid.258803.4) (ISNI:0000 0001 0661 1556) 
Pages
12147
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3060641049
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.