--- title: EpiJS Module - Pre --- ### Table of Contents * [sir][2] * [Parameters][3] * [Examples][4] * [seir][5] * [Parameters][6] * [Examples][7] * [seird][8] * [Parameters][9] * [Examples][10] * [seihrd][11] * [Parameters][12] * [Examples][13] * [seihcrd][14] * [Parameters][15] * [Examples][16] # Pre Pre-made models for disease outbreaks. Import it with: ```javascript const pre = require('@epispot/epijs').pre ``` ## sir The SIR Model. Returns a chart.js graph with the total Susceptible, Infected, and Recovered after the given amount of time. ### Parameters * `rn` **[Number][17]** R Naught, or the amount of people one infected infects whlie infected. * `s` **[Number][17]** The Susceptible population at the beggining of the outbreak * `i` **[Number][17]** The Infected population at the beggining of th outbreak * `time` **[Number][17]** The time the total simulation lasts. * `u` **[Number][17]** The recovery rate * `p` **[Number][17]** The total population. * `stochastic` **[Boolean][18]** Whether to make the model stochastic or not. ### Examples ```javascript sir(4, 9999, 1, 100, 1/21, 10000, true) ``` Returns **any** The data for the model as a list. ## seir The SEIR Model. Returns a chart.js graph with the total Susceptible, Exposed, Infected, and Recovered after the given amount of time. ### Parameters * `rn` **[Number][17]** R Naught, or the amount of people one infected infects whlie infected. * `s` **[Number][17]** The Susceptible population at the beggining of the outbreak * `i` **[Number][17]** The Infected population at the beggining of th outbreak * `t` **[Number][17]** The time the total simulation lasts. * `u` **[Number][17]** The recovery rate * `a` **[Number][17]** The incubation period * `p` **[Number][17]** The total population. * `stochastic` **[Boolean][18]** Whether to make the model stochastic or not. ### Examples ```javascript seir(4, 9999, 1, 100, 1/7, 1/7, 10000, true) ``` Returns **any** The data for the model as a list. ## seird The SEIRD Model. Returns a chart.js graph with the total Susceptible, Exposed, Infected, Recovered, and Dead populations after the given amount of time. ### Parameters * `rn` **[Number][17]** R Naught, or the amount of people one infected infects whlie infected. * `s` **[Number][17]** The Susceptible population at the beggining of the outbreak * `i` **[Number][17]** The Infected population at the beggining of the outbreak * `t` **[Number][17]** The time the total simulation lasts. * `u` **[Number][17]** The recovery rate * `a` **[Number][17]** The incubation period * `d` **[Number][17]** The death rate * `p` **[Number][17]** The total population. * `stochastic` **[Boolean][18]** Whether to make the model stochastic or not. ### Examples ```javascript seird(4, 99999, 1, 100, 1/21, 1/14, 1/100, 10000, true) ``` Returns **any** The data for the model as a list. ## seihrd The SEIHRD Model. Returns a chart.js graph with the total Susceptible, Exposed, Infected, Hospitalized, Recovered, and Dead populations after the given amount of time. ### Parameters * `rn` **[Number][17]** R Naught, or the amount of people one infected infects whlie infected. * `s` **[Number][17]** The Susceptible population at the beggining of the outbreak * `i` **[Number][17]** The Infected population at the beggining of the outbreak * `t` **[Number][17]** The time the total simulation lasts. * `u` **[Number][17]** The recovery rate for the infected population * `uh` **[Number][17]** The recovery rate for the hospitalized population * `a` **[Number][17]** The incubation period * `di` **[Number][17]** The death rate for the infected population * `dh` **[Number][17]** The death rate for the hospitalized population * `h` **[Number][17]** The hospitalization rate * `p` **[Number][17]** The total population. * `stochastic` **[Boolean][18]** Whether to make the model stochastic or not. ### Examples ```javascript seihrd(4, 9999, 1, 265, 1/21, 1/40, 1/14, 1/100, 1/20, 1/30, 10000, true) ``` Returns **any** The data for the model as a list. ## seihcrd The SEIHCRD Model. Returns a chart.js graph with the total Susceptible, Exposed, Infected, Hospitalized, Critical, Recovered, and Dead populations after the given amount of time. ### Parameters * `rn` **[Number][17]** R Naught, or the amount of people one infected infects whlie infected. * `s` **[Number][17]** The Susceptible population at the beggining of the outbreak * `i` **[Number][17]** The Infected population at the beggining of the outbreak * `t` **[Number][17]** The time the total simulation lasts. * `u` **[Number][17]** The recovery rate for the infected population * `uh` **[Number][17]** The recovery rate for the hospitalized population * `a` **[Number][17]** The incubation period * `di` **[Number][17]** The death rate for the infected population * `dh` **[Number][17]** The death rate for the hospitalized population * `ch` **[Number][17]** The rate at which patients go to the critical stage from the hospitalized compartment. * `ci` **[Number][17]** The rate at which patients go to the critical stage from the infected compartemnt. * `dc` **[Number][17]** The death rate for critical patients * `uc` **[Number][17]** The recovery rate for critical patients * `hc` **[Number][17]** The rate at which a critical patient goes to the hospitalized compartment, and are no longer critical. * `ic` **[Number][17]** The rate at which a critical patient goes to the infected compartment, and are no longer critical. * `h` **[Number][17]** The hospitalization rate * `p` **[Number][17]** The total population. * `stochastic` **[Boolean][18]** Whether to make the model stochastic or not. ### Examples ```javascript seihcrd(4, 9999, 1, 265, 1/21, 1/40, 1/14, 1/100, 1/20, 1/10, 1/40, 2/5, 1/5, 1/5, 1/5, 1/30, 10000, true) ``` Returns **any** The data for the model as a list. [1]: #gaussian [2]: #sir [3]: #parameters [4]: #examples [5]: #seir [6]: #parameters-1 [7]: #examples-1 [8]: #seird [9]: #parameters-2 [10]: #examples-2 [11]: #seihrd [12]: #parameters-3 [13]: #examples-3 [14]: #seihcrd [15]: #parameters-4 [16]: #examples-4 [17]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number [18]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean