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Force of infection
Some Simple Rules for Estimating Reproduction Numbers in the Presence of Reservoir Exposure Or Imported Cases
Seventy-Five Years of Estimating the Force of Infection from Current Status
Multiscale Mobility Networks and the Spatial Spreading of Infectious Diseases
Understanding the Spreading Power of All Nodes in a Network: a Continuous-Time Perspective
Epidemic Response to Physical Distancing Policies and Their Impact on the Outbreak Risk
Reproduction Numbers for Infections with Free-Living Pathogens Growing in the Environment
Global Convergence of COVID-19 Basic Reproduction Number and Estimation from Early-Time SIR Dynamics
Into to Epidemic Modeling
Estimating Infectious Disease Parameters from Data on Social
Time-Varying, Serotype-Specific Force of Infection of Dengue Virus
A Review of Matrix SIR Arino Epidemic Models
The Estimate of the Basic Reproduction Number for Novel Coronavirus Disease (COVID-19): a Systematic Review and Meta-Analysis
Detecting Signals of Chronic Shedding to Explain Pathogen Persistence: Leptospira Interrogans in California Sea Lions
Statistical Inference for Propagation Processes on Complex Networks
Epidemics on Networks: Reducing Disease Transmission Using Health
An Introduction to the Basic Reproduction Number in Mathematical Epidemiology ∗
Modelling Epidemics Lecture 5: Deterministic Compartmental Epidemiological Models in Homogeneous Populations
Evolution of Acute Infections and the Invasion-Persistence Trade-Off
Top View
Estimating Force of Infection from Serologic Surveys with Imperfect Tests
Sample Size Calculation for Estimating Key Epidemiological Parameters Using Serological Data and Mathematical Modelling Stéphanie Blaizot1*, Sereina A
Infectious Disease Models 4
The Critical Community Size and Extinctions for Livestock Diseases
Networks and the Epidemiology of Infectious Disease
The Spreading of Epidemics in Complex Networks
Reproduction Number (R) and Growth Rate (R) of the COVID-19 Epidemic In
Force of Infection of Helicobacter Pylori in Mexico: Evidence from a National Survey Using a Cambridge.Org/Hyg Hierarchical Bayesian Model†
Revealing Mechanisms of Infectious Disease Transmission Through
Understanding the Influence of All Nodes in a Network
Modelling Historical Changes in the Force-Of-Infection of Chagas Disease to Inform Control and Elimination Programmes: Application in Colombia
Reconstructing Historical Changes in the Force of Infection of Dengue
Special Article
Modelling the Epidemiology of Infectious Diseases for Decision Analysis: a Primer