[ set SickTime SickTime - 1 if ( abs ( xcor ) 0 ) [ setxy max-pxcor - 1 max-pycor - 1 facexy max-pxcor - 1 0 Manage-data if ( TicksPerHour * 25 * 10 99 and who 199 and who 299 and who 399 ) [ setxy 0 0 set size 8 set label-color black set label "Hospital" ask patches [Īsk house 0 Īsk house 1 Īsk house 3 Īsk house 4 Reset-ticks clear-turtles clear-patches clear-drawing clear-all-plots clear-output set-default-shape people "person" set-default-shape mosquitos "mosquito" set-default-shape hospitals "redcross" set-default-shape houses "house" set Provide_Meals false set Provide_Water false set RecoveredCount 0 set Duration 0 set TicksPerHour 1 set TotalTreated 0 set ProbabilityOfInfection ( 35 / TicksPerHour ) ifelse ( Epidemic_Vector = "Human" ) TicksPerHour Slow down the sim ProbabilityOfInfection TicksPerHour based probability InfectionSource selector for how infection is spread The simulation should be setup and run repeatedly, thus creating a data set of peaks that can be analyzed used a statistical inference on a hypothesis of a particular disease vector. One key difference is the peak number in the hospital, and it is this peak that is most affected by the 3 different interventions. There are many subtle differences between the hospital plots for the four possible vectors. Once they recover, they leave the hospital. The HOSPITAL COUNTS plot shows the number of patients (symptomatic individuals who have wandered into the hospital). YOU WILL NEED TO SETUP AGAIN AFTER ENACTING AN INTERVENTION! 5. iii) PROVIDE BOTTLED WATER provides some – but not all! – of the villagers with sterile water. Ii) PROVIDE STERILIZED MEALS provides some – but not all! – of the villagers with sterile food. I) REDUCE MOSQUITOS reduces the mosquito population.
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