Our method is capable of obtaining distributions of disease parameters which reproduce true data closely over a variety of regions. The orange line represents true cumulative infections counts for 160 days starting from 7 days before the first day in which infections counts accounted for 0.5% of the population: May 3, 2020 for Los Angeles, March 29, 2020 for Miami-Dade, and March 15, 2020 for Middlesex. The blue lines represent 100 simulations of fnseir using disease parameters sampled from our fit variational distribution. The black lines represent quartiles for these 100 samples.</p
The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...
<p>(A) Postponing the date of imported case in 2014; (B) advancing the date of imported case in 2013...
<p>(<i>A,B</i>) Reported cases (incidence and cumulative) per week (dotted, black) and example of mo...
After fitting the parameters of our model to data, we show the cumulative infections produced by 100...
We see that posterior samples of cumulative infection and death counts from several counties are gen...
This model is only capable of outputting a disease history corresponding to a single wave of infecti...
Our method is capable of fitting different disease dynamics in different regions including infection...
<p>Dark blue lines show 100 realizations of the stochastic model. Shaded region shows 95% quantiles ...
Regional estimates of infection prevalence from 6 January to 12 July 2021 estimated using a Bayesian...
A simple method is utilised to study and compare COVID-19 infection dynamics between countries based...
Legend: Time series plot for all six states on cumulative confirmed infections, recovery and death. ...
All left panels: Model fits of the viral kinetics over the course of whole infections, beginning fro...
Left: Distributions of cumulative infections over the 70-day training period across 1,000 replicate ...
<p>The x-axis gives the time since the beginning of the epidemic, or equivalently, the threshold TMR...
Simulations from January 1, 2020 until December 31, 2021 performed with the model that has been cali...
The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...
<p>(A) Postponing the date of imported case in 2014; (B) advancing the date of imported case in 2013...
<p>(<i>A,B</i>) Reported cases (incidence and cumulative) per week (dotted, black) and example of mo...
After fitting the parameters of our model to data, we show the cumulative infections produced by 100...
We see that posterior samples of cumulative infection and death counts from several counties are gen...
This model is only capable of outputting a disease history corresponding to a single wave of infecti...
Our method is capable of fitting different disease dynamics in different regions including infection...
<p>Dark blue lines show 100 realizations of the stochastic model. Shaded region shows 95% quantiles ...
Regional estimates of infection prevalence from 6 January to 12 July 2021 estimated using a Bayesian...
A simple method is utilised to study and compare COVID-19 infection dynamics between countries based...
Legend: Time series plot for all six states on cumulative confirmed infections, recovery and death. ...
All left panels: Model fits of the viral kinetics over the course of whole infections, beginning fro...
Left: Distributions of cumulative infections over the 70-day training period across 1,000 replicate ...
<p>The x-axis gives the time since the beginning of the epidemic, or equivalently, the threshold TMR...
Simulations from January 1, 2020 until December 31, 2021 performed with the model that has been cali...
The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...
<p>(A) Postponing the date of imported case in 2014; (B) advancing the date of imported case in 2013...
<p>(<i>A,B</i>) Reported cases (incidence and cumulative) per week (dotted, black) and example of mo...