Simulated malaria dynamics for the year 2020 with A) varying severity of treatment disruption, where disruption began on March 1 and lasted 6 months, B) varying duration of treatment disruption, where there was 100% disruption that began on March 1, and C) varying timing of treatment disruption onset, where treatment was 100% disrupted for 6 months. Solid color lines represent the mean malaria prevalence of the simulated replicates, and the light color bands around them capture the range of simulated values. Dashed gray line indicates Oct 1, 2020, and the red cross indicates the observed malaria prevalence in the NPP study reference group (28%) [26].</p
<p>Simulations reflect the impact of uncertainty in model parameter values, and seasonal variation i...
Background: The scaling up of malaria control and renewed calls for malaria eradication have raised ...
This data set includes fits and simulations to recreate the figures in the paper "Using Hawkes ...
Several aspects of treatment disruptions were simulated in a factorial manner, including duration of...
Solid dark-red line represents the mean malaria prevalence of the simulated replicates, and the ligh...
<p>The data and the regression estimates for relapse latency and frequency from <a href="http://www....
<p>The monthly malaria incidence, averaged over the entire ABM study period is presented as a functi...
Planning of the control of Plasmodium falciparum malaria leads to a need for models of malaria epide...
<p>The solid line represents recrudescent infections with a cumulative failure rate of 5% by day 42....
SUMMARYPlanning of the control of Plasmodium falciparum malaria leads to a need for models of malari...
<p>The plots were constructed by simulating effective treatments applied to malaria therapy data (se...
<p>Filled symbols indicate times to interruption. Bars illustrate the proportion of simulations in w...
<p>Graphs shows prevalence of malaria (green) and schistosomiasis (blue) at baseline (prior to time ...
<div><p>Evaluating the effectiveness of malaria control interventions on the basis of their impact o...
Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program...
<p>Simulations reflect the impact of uncertainty in model parameter values, and seasonal variation i...
Background: The scaling up of malaria control and renewed calls for malaria eradication have raised ...
This data set includes fits and simulations to recreate the figures in the paper "Using Hawkes ...
Several aspects of treatment disruptions were simulated in a factorial manner, including duration of...
Solid dark-red line represents the mean malaria prevalence of the simulated replicates, and the ligh...
<p>The data and the regression estimates for relapse latency and frequency from <a href="http://www....
<p>The monthly malaria incidence, averaged over the entire ABM study period is presented as a functi...
Planning of the control of Plasmodium falciparum malaria leads to a need for models of malaria epide...
<p>The solid line represents recrudescent infections with a cumulative failure rate of 5% by day 42....
SUMMARYPlanning of the control of Plasmodium falciparum malaria leads to a need for models of malari...
<p>The plots were constructed by simulating effective treatments applied to malaria therapy data (se...
<p>Filled symbols indicate times to interruption. Bars illustrate the proportion of simulations in w...
<p>Graphs shows prevalence of malaria (green) and schistosomiasis (blue) at baseline (prior to time ...
<div><p>Evaluating the effectiveness of malaria control interventions on the basis of their impact o...
Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program...
<p>Simulations reflect the impact of uncertainty in model parameter values, and seasonal variation i...
Background: The scaling up of malaria control and renewed calls for malaria eradication have raised ...
This data set includes fits and simulations to recreate the figures in the paper "Using Hawkes ...