Left: After 50 days, the effectiveness of interventions decreases. Feedback control increases the level of interventions accordingly to stop pandemic growth. To fully counteract the (input) uncertainty, the cumulative error needs to be taken into account in the policy update (yellow; i.e., through the integrator term Ki). If not (purple), the pandemic is stabilized at a sustained higher level of infections. Right: This effect is amplified if only a limited number of intervention levels are available. The area under the curve not using the cumulative error (purple) is 85% higher than when the cumulative error is used (yellow).</p
<p>Sensitivity analysis of the total number of cases during the course of the epidemic. The key inte...
CONTEXT: The aim of this systematic review is to determine whether providing feedback, guided by sub...
Progress feedback is an intervention aimed at enhancing patient outcomes in routine clinical practic...
Left: A new variant that is 2.5 times more infectious (R0v = 7.5, introduced after 425 days indicate...
The top figure shows the response to an outbreak on day zero (100 exposed individuals). Under feedba...
In the first scenario, interventions that lead to zero growth from the initial IT = 400 are maintain...
Monte Carlo simulation results: The median is indicated with a thick line, the 25–75th percentiles a...
A: Schematic of the widely applied modeling and prediction-based approach to public health policy de...
Public health recommendations that affect COVID-19 infections I(t) are made using implicit or explic...
The policy feedback literature was initially concerned with explaining how positive feedback could l...
Social distancing has been enacted in order to mitigate the spread of COVID-19. Like many authors, w...
International audienceBACKGROUND: After one year of stop-and-go COVID-19 mitigation, in the spring o...
I employ a simple mathematical model of an epidemic process to evaluate how four basic quantities: t...
<div><p>Impact of interventions under different assumptions about how the probability of being infec...
The COVID-19 pandemic is still in its early stages and given the speed and magnitude of local outbre...
<p>Sensitivity analysis of the total number of cases during the course of the epidemic. The key inte...
CONTEXT: The aim of this systematic review is to determine whether providing feedback, guided by sub...
Progress feedback is an intervention aimed at enhancing patient outcomes in routine clinical practic...
Left: A new variant that is 2.5 times more infectious (R0v = 7.5, introduced after 425 days indicate...
The top figure shows the response to an outbreak on day zero (100 exposed individuals). Under feedba...
In the first scenario, interventions that lead to zero growth from the initial IT = 400 are maintain...
Monte Carlo simulation results: The median is indicated with a thick line, the 25–75th percentiles a...
A: Schematic of the widely applied modeling and prediction-based approach to public health policy de...
Public health recommendations that affect COVID-19 infections I(t) are made using implicit or explic...
The policy feedback literature was initially concerned with explaining how positive feedback could l...
Social distancing has been enacted in order to mitigate the spread of COVID-19. Like many authors, w...
International audienceBACKGROUND: After one year of stop-and-go COVID-19 mitigation, in the spring o...
I employ a simple mathematical model of an epidemic process to evaluate how four basic quantities: t...
<div><p>Impact of interventions under different assumptions about how the probability of being infec...
The COVID-19 pandemic is still in its early stages and given the speed and magnitude of local outbre...
<p>Sensitivity analysis of the total number of cases during the course of the epidemic. The key inte...
CONTEXT: The aim of this systematic review is to determine whether providing feedback, guided by sub...
Progress feedback is an intervention aimed at enhancing patient outcomes in routine clinical practic...