(A) Proportion of infected travellers detected relative to infection time, in a scenario with incidence declining 10% per day, and testing 2 days before departure, with 1 day in transit, and 4 days after arrival (dashed lines). Light green, travellers detected predeparture; dark green, travellers detected post-arrival; red, travellers missed. (B) Scenario in a stable epidemic, i.e., 0% daily change in incidence. (C) Scenario in epidemic with 10% daily growth. (D) Reconstruction of simulated epidemics from arrival testing data, assuming 5,000 arrivals tested per week. Solid points, “true” prevalence at departure with lines showing 95% binomial confidence interval; squares, measured prevalence at arrival in simulated scenario with a test 2 da...
<p>A: cumulative incidence (total number of symptomatic cases) over a 28-year simulation as a functi...
<p>The final size of the local epidemic (A) and the time until the infected individuals first appear...
<p>True infection prevalence for each county (Acrelandia – AC, Placido de Castro – PC, and Senador G...
(A) Reconstruction of simulated epidemics from arrival testing data, assuming 100 arrivals tested pe...
<p>The process through which a pandemic is imported. (A) The prevalence in the source region, which ...
(A) Possible outcomes for infected travellers in a scenario with predeparture and post-arrival testi...
(A) Number of arrivals from France tested per week. Orange, tests performed at day 4 after arrival; ...
<p>(A) depicts the time course of the proportion of transmissions of the invader strain that involve...
<p>Black and grey bars give the prevalence of infectious () and recovered () humans, respectively. N...
a) The number of currently infected individuals is plotted versus time for different values of the i...
<p>Black and grey bars give the prevalence of infectious () and recovered () humans, respectively. N...
<p>Each column shows a different population of introduction characteristic: (A,D) population size (l...
(A) Scenario where 100 passengers are tested, either in pools of size 5 or 20, with the proportion o...
Left: Distributions of cumulative infections over the 70-day training period across 1,000 replicate ...
Accurately modelling the susceptibility, infection, and recovery of populations with regards to the ...
<p>A: cumulative incidence (total number of symptomatic cases) over a 28-year simulation as a functi...
<p>The final size of the local epidemic (A) and the time until the infected individuals first appear...
<p>True infection prevalence for each county (Acrelandia – AC, Placido de Castro – PC, and Senador G...
(A) Reconstruction of simulated epidemics from arrival testing data, assuming 100 arrivals tested pe...
<p>The process through which a pandemic is imported. (A) The prevalence in the source region, which ...
(A) Possible outcomes for infected travellers in a scenario with predeparture and post-arrival testi...
(A) Number of arrivals from France tested per week. Orange, tests performed at day 4 after arrival; ...
<p>(A) depicts the time course of the proportion of transmissions of the invader strain that involve...
<p>Black and grey bars give the prevalence of infectious () and recovered () humans, respectively. N...
a) The number of currently infected individuals is plotted versus time for different values of the i...
<p>Black and grey bars give the prevalence of infectious () and recovered () humans, respectively. N...
<p>Each column shows a different population of introduction characteristic: (A,D) population size (l...
(A) Scenario where 100 passengers are tested, either in pools of size 5 or 20, with the proportion o...
Left: Distributions of cumulative infections over the 70-day training period across 1,000 replicate ...
Accurately modelling the susceptibility, infection, and recovery of populations with regards to the ...
<p>A: cumulative incidence (total number of symptomatic cases) over a 28-year simulation as a functi...
<p>The final size of the local epidemic (A) and the time until the infected individuals first appear...
<p>True infection prevalence for each county (Acrelandia – AC, Placido de Castro – PC, and Senador G...