Probabilistic Infectious Disease Modeling
Epidemiological modeling and the historical records of recorded pandemics of the past three centuries are used to inform the RMS Infectious Disease Model.
Extensive Event Set
A stochastic event set of over 4,500 pandemics represent the full spectrum of pathogen characteristics and major intervention strategies affecting their impact.
Detailed Country Profiles
The model covers 59 countries with parameters such as age distributions, prevalence of pre‑existing conditions, health‑care capacity, immunization and drug availability.
Measuring Pandemic Spread
Two core measures are used: transmissibility – or the speed at which a pandemic spreads through a population, together with virulence based on case‑fatality rate.
Accounting for Mitigation
Factors that reduce pandemic mortality such as the use of pharmaceuticals and vaccines, together with non‑pharmaceutical interventions are considered within the model.
Pioneering Pandemic Models
Over 15 years, RMS has an enviable record of innovation as a pioneer of probabilistic infectious diseases modeling. Models help to assess the health and economic impacts of pandemics for insurers, investors, and governments.
New Insight on Influenza
Findings from virologists on how childhood exposure to a previous influenza pandemic is imprinted on the immune system, is one of many discoveries incorporated into the updated RMS Infectious Diseases Model.
After the 2014 Ebola crisis that impacted countries in West Africa, RMS presented alongside the World Bank on solutions for pandemic risk mitigation and financing.
In 2015, RMS developed a counterfactual scenario based on Middle Eastern Respiratory Syndrome (MERS+) which corresponded to a more transmissible mutation during the refugee exodus from Syria. This gave a warning that MERS itself was a near-miss.
National Pandemic Risk
RMS experts contributed to positioning pandemic risk on the U.K. national risk matrix, as the highest risk in terms of likelihood and impact.
Analyzing Global Pandemic Risk
Following the 2009 pandemic, RMS undertook an innovative study of pandemic risk to the sovereign wealth fund of Singapore, in collaboration with Australian academic experts in global economic modeling.
ILS Excess Mortality Bonds
RMS undertook pandemic risk analysis for Swiss Re's excess mortality bonds at the time of the 2009 H1N1 swine flu pandemic.
Between April 2009 and April 2010, the H1N1 ‘swine flu’ virus infected as many as 1.4 billion people across the globe and killed between 151,700 and 575,400 people, according to the Centers for Disease Protection and Control.
Risk Model Applications
RMS explored the range of use of pandemic risk modeling to cover downturns in tourism, aviation, and life insurance portfolio optimization.
First Infectious Disease Model
RMS pioneered pandemic disease modeling, launched in 2006, during the emerging H5N1 Avian Flu crisis. Our principal academic adviser was Prof. Neil Ferguson, one of the world’s leading epidemiologists - then and now.