An Economist's Guide to Epidemiology Models of Infectious Disease
Bibliographic Data
We describe the structure and use of epidemiology models of disease transmission, with an emphasis on the susceptible/infected/recovered (SIR) model. We discuss high-profile forecasts of cases and deaths that have been based on these models, what went wrong with the early forecasts, and how they have adapted to the current COVID pandemic. We also offer three distinct areas where economists would be well positioned to contribute to or inform this epidemiology literature: modeling heterogeneity of susceptible populations in various dimensions, accommodating endogeneity of the parameters governing disease spread, and helping to understand the importance of political economy issues in disease suppression
Disease · Disease transmission · Econometrics · Economic model · Economics · Endogeneity · Environmental health · Epidemic model · Macroeconomics · Pandemic · Population · Agricultural risk and resilience · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Medicine · Epidemiology · Virology
New Structural Economic Analysis of Anti-Covid-19 Pandemic Model of Best Region
A study of Sars-COV-2 outbreaks in US federal prisons
A novel risk communication model for online public opinion dissemination that integrates the SIR and Markov chains
Moral Force
Behavioral Economics in the Epidemiology of the Covid-19 Pandemic
Intergenerational coresidence and the Covid-19 pandemic in the United States
Strategic ignorance, and the management of performative effects
Accounting for cultural spread with an economic SIR model
Optimal Vaccine Subsidies for Epidemic Diseases
Managing Performative Models
Performativity in Science
The Relation between Media Consumption and Misinformation at the Outset of the Sars-CoV-2 Pandemic in the US
Projecting the transmission dynamics of Sars-CoV-2 through the postpandemic period
The Mathematics of Infectious Diseases
The effect of control strategies to reduce social mixing on outcomes of the Covid-19 epidemic in Wuhan, China
Risk Perception Through the Lens of Politics in the Time of the Covid-19 Pandemic
Strategies for mitigating an influenza pandemic
Quantifying Sars-CoV-2 transmission suggests epidemic control with digital contact tracing
A contribution to the mathematical theory of epidemics
| Unique citing works | 11 |
|---|---|
| Citations per year | 1,83 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |