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Figures 2-4 for the paper “Analytical solution of l-i SEIR epidemic model”

Name: Figures 2-4 for the paper “Analytical solution of l-i SEIR epidemic model”
Creator: Xiaoping Liu
Published: 2026-04-09T12:26:42+08:00

Mendeley Data2026-04-09 收录

传染病动力学模型

疫情预测模拟

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资源简介：

Calculation of model variables and simulations of daily new COVID-19 cases based on the analytical solution of l-i SEIR epidemic model in Excel

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Xiaoping Liu

传染病动力学模型

疫情管理优化

Supplementary Material 10.

DataCite Commons2024-08-15 更新60

A General HIV Incidence Inference Scheme Based on Likelihood of Individual Level Data and a Population Renewal Equation

HIV发病率估计

传染病动力学模型

We derive a new method to estimate the age specific incidence of an infection with a differential mortality, using individual level infection status data from successive surveys. The method consists o

Figshare2016-01-19 更新40

Figure 3 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

传染病动力学模型

无症状传播者仿真

Matlab code to generate Figure 3

Figshare2018-01-27 更新30

Strain Interactions as a Mechanism for Dominant Strain Alternation and Incidence Oscillation in Infectious Diseases: Seasonal Influenza as a Case Study

传染病动力学模型

病原株间相互作用

Background Many human infectious diseases are caused by pathogens that have multiple strains and show oscillation in infection incidence and alternation of dominant strains which together are referred

NIAID Data Ecosystem40

Delay (in days) of the peak of the epidemic wave for adults in Germany as a function of the number of imported cases (column A), the number of CCM1 and CCM2 treatments, R0 and the case detection rate (10%, 30% or 50%).

传染病动力学模型

疫情高峰预测

Delay (in days) of the peak of the epidemic wave for adults in Germany as a function of the number of imported cases (column A), the number of CCM1 and CCM2 treatments, R0 and the case detection rate

NIAID Data Ecosystem30

Figures 2-4 for the paper “Analytical solution of l-i SEIR epidemic model”

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