Disease models | Contact scaling | Parameter info | Natural herd immunity | Model equations and parameters
Mortality data (cumulative in 2021) for the United States, acquired from Johns Hopkins, was used to fit the model. (See the model at the bottom of the page.) The model is valid for the original SARS-CoV-2 strain, but does not reflect the increased transmission possible with certain variants.
Published versions of the models or model modifiers can be found in the following papers:
Modifications to the model below were made to the following (in February, 2021):
This image was created to help visualize the progression of people between affected groups. Those who are susceptible can either end up being exposed or being vaccinated. A small portion of those vaccinated can lose immunity and end up in the exposed group. Exposed individuals can become symptomatic or asymptomatic. Asymptomatic people recover, while symptomatic people can end up recovered, hospitalized, or dead. Hospitalized people can either end up recovered or dead.
NOTE: Only susceptible individuals are eligible to be vaccinated in this model. Those who are exposed, infected, recovered, or dead cannot be vaccinated. This means that as more people are infected, less of the population can receive a vaccine.
For the flu, the vaccine is considered 45% effective (based on rounding up from the average flu vaccine effectiveness—42%—between 2010 and 2020). The infection death rates for pandemic flu were based on the values from confirmed cases from the 1918 influenza pandemic. The infection death rates for non-pandemic flu were based on the 2018-2019 flu season average cumulative mortality. The vaccination rates for selected cities were based on country rates for each city for H1N1 (2009-2010), as this was one of the highest vaccination years across the globe in the last decade. Vaccination rates were converted to a continuous daily rate for use in the model, based on the number of people vaccinated per day, starting from zero people vaccinated.
This image was created to help visualize the progression of people between affected groups. Those who are susceptible can either end up being exposed or being vaccinated. Because effectiveness of the vaccine varies, some of those vaccinated can also end up in the exposed group. Exposed individuals become infected, and infection leads to either recovery or death.
NOTE: Only susceptible individuals are eligible to be vaccinated in this model. Those who are exposed, infected, recovered, or dead cannot be vaccinated. This means that as more people are infected, less of the population can receive a vaccine.
For measles, the vaccine is considered 100% effective. The vaccination rate was based on country rates for each selected city, and was assumed to be established, with that number of people already vaccinated.
This image was created to help visualize the progression of people between affected groups. Those who are susceptible can either end up being exposed or being vaccinated. Exposed individuals become infected, and infection leads to either recovery or death.
For polio, the vaccine is considered 100% effective. The vaccination rate was based on country rates for each selected city, and was assumed to be established, with that number of people already vaccinated.
This image was created to help visualize the progression of people between affected groups. Those who are susceptible can either end up being exposed or being vaccinated. Exposed individuals become infected, and infection leads to either recovery or paralysis. Very few (less than 0.05% of infections) result in death after paralysis, so death was not included in the model.
It takes the minimum city population (10,000) and the largest city population (25 million) and creates a linear multiplier between the two that goes from 0.85 to 1.75. This has the effect of reducing the spread of disease in smaller cities (below 1 on the scale) and increasing the spread of disease in larger cities (higher than 1 on the scale). This helps show the increased contact rates in dense metropolitan areas such as New York City or Shanghai. The contact scaling equation is as follows for a specific population A:
Using New York’s metro population of around 20 million people as an example, you get:
So the spread of COVID in New York among asymptomatic and symptomatic people is being multiplied by 1.57 from the base model to show the increase that comes with such a packed metropolitan area.
Birth rates were based on country rates and came from the United Nation’s World Population Prospects and the CIA’s World Factbook.
Death rates were based on country rates and came from The World Bank Group.
The 1918 pandemic flu global death rate came from NCBI’s publication 1918 influenza: The mother of all pandemics.
For COVID-19, a wide range of daily vaccination rates are available, depending on when and where you look. Though vaccination rates often start slowly after a vaccine is available, they often ramp up to higher rates as time goes on. As of the end of February, 2021, three months into vaccines being offered in the US, around 0.4 to 0.5% of the US population was being vaccinated every day. That rate ramped up a bit higher before leveling and dropping down. We selected 0.4% as an overall average daily vaccination rate.
Flu vaccination rates were difficult to find, as data is not always easily available. Flu vaccination rates were based on well-studied H1N1 country-based data and were decided based on various resources, shown in the drop-down link below. Rates were not found for Papua New Guinea, but because PNG generally had the lowest vaccine rates, the rate for flu was matched to Kenya, which had the lowest rates for countries with data available.
Measles and polio vaccination rates came from the World Health Organization’s Immunization Monitoring Global Summary and were based on country rates.
When natural herd immunity is selected, we assume that no vaccinations are available; this is the most drastic and costly form of herd immunity, but represents the situation for many diseases before a vaccine can be developed and distributed.
Here is the model we used and the related parameters:
Learn the latest on the Ask A Biologist COVID-19 vaccines story page.