COVID-19 SEIRD Farmworkers
Model was written in NetLogo 6.2.0
•
Viewed 280 times
•
Downloaded 21 times
•
Run 0 times
Do you have questions or comments about this model? Ask them here! (You'll first need to log in.)
Info tab cannot be displayed because of an encoding error
Comments and Questions
Please start the discussion about this model!
(You'll first need to log in.)
Click to Run Model
globals [ interaction-zone ;; The patches representing the area of social interactions in the world quarantine ;; The patches representing the area where humans are in quarantine hospital ;; The patches representing the hospital, where patients are treated upper-border ;; The borders of interaction-zone lower-border num-patients ;; Number of humans with severe disease being treated in the hospital count-symptomatic ;; Cumulative number of infected humans that are symptomatic r0 ;; The number of secondary infections that arise due to a single infective introduced in a wholly susceptible population s0 ;; Initial population of susceptible humans at-capacity-patch ;; The patch where the "AT CAPACITY" label appears hospital-patch ;; The patch where the "HOSPITAL" label appears quarantine-patch ;; The patch where the "QUARANTINE" label appears num-clusters ;; Number of patch clusters to form the high-touch areas ] breed [humans human] humans-own [susceptible? ;; If true, the human is susceptible exposed? ;; If true, the human is infected but in latent period infected? ;; If true, the human is infected recovered? ;; If true, the human is recovered deceased? ;; If true, the human died protect? ;; If true, the human is protecting himself from infection by following measures exposure-from-touch? ;; If true, the human came in contact with the virus from touching contaminated surface symptomatic? ;; If true, the infected human is symptomatic isolated? ;; If true, an infected human will be isolated in quarantine severe? ;; If true, an infected human will have severe infection hospitalized? ;; If true, the infected, symptomatic human will be hospitalized risk-population? ;; The proportion of the population at risk of severe disease (i.e. old people, pre-existing chronic disease) latent-period ;; The latent period of the virus infectious-period ;; The time in days that humans will be infectious and can transmit the virus to others ] patches-own [ high-touch-areas ;; Patches contain high-touch-areas ] ;;; ;;; SLIDERS AND SWITCHES ;;; ;;; INITIAL-POPULATION (100 – 1000): Initial number of humans ;;; INITIAL-INFECTED (1 – 10): Initial number of infected humans ;;; INITIAL-RECOVERED (0 - 5): Initial number of recovered humans ;;; SYMPTOMATIC (10 - 100): Percentage of infected humans who will be symptomatic ;;; RISK-GROUP-PROPORTION (0 - 1): Proportion of humans in risk group (ex: elderly, underlying medical condition) ;;; TRANSMISSION-RATE (0.01 – 1): Probability that an infected human will infect a susceptible human ;;; RECOVERY-TIME (7 – 30): Average time in days for humans to recover ;;; BARRIERS-TO-HEALTHCARE (0 - 1): Ability to access hospital, where 0 = complete access and 1 = no access ;;; HEALTHCARE-QUALITY (0 - 1): Quality of healthcare, from poor = 0 to excellent = 1 ;;; HOSPITAL-CAPACITY (5 - 20): Maximum number of patients in the hospital simultaneously ;;; DAYS-TO-START-CONTROL-MEASURES (1 - 60): Time in days to start control measures ;;; PROTECTION-LEVEL (0 – 1): Degree of the effectiveness of control measures adopted by the population ;;; FOLLOWING-MEASURES-PROPORTION (0 - 1): Proportion of the population following control measures ;;; MOBILITY (0-1): Distance humans move, where 0 = no movement and 1 = maximum movement ;;; INFECTED-DETECTION (0.01 - 10): Daily percentage of detection and isolation of infected humans ;;; ISOLATE-INFECTED? (switch): When ‘ON’, specified percentage of infected humans will be identified and isolated in quarantine ;;; HIGH-TOUCH-AREAS? (switch): When 'ON', randomized clusters of high-touch areas (in white) will appear in the interaction-zone ;;; DISINFECT? (switch): When 'ON' the probability of infection for a human in a high-touch-area is reduced ;;; ;;; SEED PROCEDURES ;;; ;; Use a seed created by the NEW-SEED reporter to use-new-seed let my-seed new-seed ;; generate a new seed output-print word "Generated seed: " my-seed ;; print it out random-seed my-seed ;; use the new seed reset-ticks end ;; Use a seed entered by the user to use-seed-from-user loop [ let my-seed user-input "Enter a random seed (an integer):" carefully [ set my-seed read-from-string my-seed ] [ ] ifelse is-number? my-seed and round my-seed = my-seed [ random-seed my-seed ;; use the new seed output-print word "User-entered seed: " my-seed ;; print it out reset-ticks stop ] [ user-message "Please enter an integer." ] ] end ;;;;; ;;; SETUP PROCEDURES ;;;;; to clear clear-all end to setup clear-globals clear-ticks clear-turtles clear-patches clear-drawing clear-all-plots setup-globals setup-humans reset-ticks end to setup-globals ;; creating interaction-zone patches set interaction-zone patches with [(pxcor >= min-pxcor and pycor < int (max-pycor - (max-pycor / 2)) and pycor > min-pycor)] ask interaction-zone [ set pcolor gray ] ;; setup patches so that they aren't present without high-touch-areas on set num-clusters 2 ask n-of num-clusters patches [ if high-touch-areas? [ ask n-of 8 patches in-radius 2 ;; cluster 8 patches in interaction zone close to each other [ set pcolor white ;; color patches white - high-touch-areas represented ] ] ] ;; creating quarantine patches set quarantine patches with [(pxcor > (0.5 * min-pxcor) and pycor > int (max-pycor - (max-pycor / 2)) )] ask quarantine [set pcolor cyan ] ;; creating hospital patches set hospital patches with [(pxcor >= min-pxcor and pxcor <= (0.5 * min-pxcor) and pycor > int (max-pycor - (max-pycor / 2)))] ask hospital [set pcolor pink ] ;; creating border patches set upper-border patches with [(pycor = int (max-pycor - (max-pycor / 2)))] ask upper-border [ set pcolor gray ] set lower-border patches with [(pycor = min-pycor)] ask lower-border [ set pcolor gray ] ;; selecting patches where labels will appear ask patch (0.7 * min-pxcor) ( 0.8 * max-pycor) [ set at-capacity-patch self set plabel-color black] ask patch (0.7 * min-pxcor) ( 0.95 * max-pycor) [ set hospital-patch self set plabel "HOSPITAL" set plabel-color black] ask patch (0.3 * max-pxcor) ( 0.95 * max-pycor) [ set quarantine-patch self set plabel "QUARANTINE" set plabel-color black] end to setup-humans ;; creating humans and moving them to interaction-zone patches create-humans initial-population [ask humans [move-to one-of interaction-zone] set shape "person" set size 0.5 set susceptible? true set exposed? false set infected? false set recovered? false set deceased? false set protect? false set exposure-from-touch? false set symptomatic? false set isolated? false set severe? false set hospitalized? false set risk-population? false ] ;; selecting initial number of infected humans ask n-of initial-infected humans [ set susceptible? false set infected? true set recovered? false] ;; selecting initial number of recovered humans ask n-of initial-recovered humans [ set susceptible? false set infected? false set recovered? true] ;; selecting humans who will be less exposed to infection due to individual protection measures ask n-of (initial-population * following-measures-proportion) humans [set protect? true] ;; selecting humans who will belong to the risk group ask n-of (initial-population * risk-group-proportion) humans [set risk-population? true] ask humans [assign-color] end to assign-color ;; The colors represent the status of the human if susceptible? [ set color blue ] if exposed? [ set color yellow ] if infected? [ set color red ] if recovered? [ set color green ] if deceased? [ set color black ] end ;;;;; ;;; GO PROCEDURES ;;;;; to go ask at-capacity-patch [ set plabel "" ] move-humans if all? humans [ not exposed? and not infected? ] [stop] ;; stopping the simulation ask humans [touch-surface] ask humans with [exposed?] [become-infectious] ask humans with [infected?] [infect-others develop-symptoms] ask humans with [symptomatic?] [check-for-hospital go-to-hospital recover-or-die] set num-patients count turtles-on hospital if num-patients >= hospital-capacity [ask at-capacity-patch [ set plabel "AT CAPACITY" ]] ;; if the hospital has more patients than it can handle, the label "AT CAPACITY" will appear ;;infected humans who are detected will be quarantined after the start of control measures if isolate-infected? [ask humans with [infected? and not hospitalized?] [if ticks >= days-to-control-measures [ if random 100 < infected-detection [ move-to one-of quarantine set isolated? true]]]] ask humans-on quarantine [if recovered? [move-to one-of interaction-zone set isolated? false]] ;; humans who recovered in the quarantine go back to interaction-zone ask humans-on quarantine [if deceased? [move-to one-of interaction-zone set isolated? false]] ;; humans who died in quarantine go back to the interaction zone ask humans-on hospital [if recovered? [move-to one-of interaction-zone set hospitalized? false]] ;; humans who recovered at the hospital go back to interaction-zone ask humans-on hospital [if deceased? [move-to one-of interaction-zone set hospitalized? false]] ;; humans who died at the hospital go back to interaction-zone ask humans with [deceased?] [ set shape "dot"] calculate-r0 tick end ;; Humans move around the world, but they don't move around in quarantine and in the hospital (i.e. movement is simply due to humans entering and exiting these regions, not humans within these regions moving) to move-humans ask humans-on interaction-zone [ ifelse protect? [ if ticks < days-to-control-measures ;; if human is protect? but control measures have not been implemented yet, human will move normally [rt random-float 360.0 forward 1 assign-color] if ticks >= days-to-control-measures ;; if human is protect? and control measures have been implemented, human will alter movement according to mobility [rt random-float 360.0 forward mobility assign-color]] [rt random-float 360.0 ;; if human is not protect? human will move unrestricted regardless of whether control measures have been implemented forward 1 assign-color]] ask humans-on upper-border [ move-to patch-at-heading-and-distance 180 1 assign-color] ask humans-on lower-border [ move-to patch-at-heading-and-distance 180 -1 assign-color] ask humans-on hospital[ assign-color ] ask humans-on quarantine [ assign-color] end ;; Infection can occur to humans who touch high-touch areas and aren't protecting themselves from exposure to touch-surface let touching-humans (turtles-on patch-here) with [ not infected? and not recovered? ] if pcolor = white [ ask touching-humans [ ifelse protect? ;; if human is taking measures to protect from exposure (ex: wearing gloves, not touching uncovered face) [ ifelse disinfect? [ if random-float 100 < 1 ;; 1% chance of exposure when touching surface with disinfection [ set susceptible? false set exposed? true set exposure-from-touch? true ] ] [ if random-float 100 < 5 ;; 5% chance of exposure when touching surface with no disinfection [ set susceptible? false set exposed? true set exposure-from-touch? true ] ] ] ;;if human is not taking measures to protect [ ifelse disinfect? [ if random-float 100 < 5 ;; 5% chance of exposure when touching surface with disinfection [ set susceptible? false set exposed? true set exposure-from-touch? true ] ] [ if random-float 100 < 20 ;; 20% chance of exposure when touching surface with no disinfection [ set susceptible? false set exposed? true set exposure-from-touch? true ] ] ] ] ] end ;; A human who has been exposed the virus will become infectious after the latent period to become-infectious set latent-period latent-period + 1 if latent-period > random-poisson 3 [ ;; An average latent period of 3 days was considered here set infected? true set exposed? false ] end ;; Infected humans can infect susceptible ones to infect-others ;; selecting a susceptible target in neighbor patches let nearby-target (humans-on neighbors) let nearby-host one-of (nearby-target with [susceptible?]) ;; the chance of a susceptible person becoming infected will depend on the transmission rate and whether or not he is protecting himself from the transmission if nearby-host != nobody [ ifelse not protect? [ if random-float 1 < transmission-rate [ ask nearby-host [ set susceptible? false set exposed? true ] ] ] [ if ticks < days-to-control-measures [ if random-float 1 < transmission-rate [ ask nearby-host [ set susceptible? false set exposed? true ] ] ] if ticks >= days-to-control-measures [ if random-float 1 < (transmission-rate * (1 - protection-level)) [ ask nearby-host [ set susceptible? false set exposed? true ] ] ] ] ] end ;; A given proportion of infected humans will become symptomatic to develop-symptoms set infectious-period infectious-period + 1 ;; considering that the first symptoms may appear 2 days after the virus latent period, incubation period will be 5 days on average if infectious-period = 2 [ if random 100 < symptomatic [ set symptomatic? true set count-symptomatic count-symptomatic + 1 ]] ;; asymptomatic humans become recovered after recovery time if infectious-period = recovery-time and not symptomatic? [ set infected? false set recovered? true set deceased? false ] end ;; Check if symptomatic humans need a hospital to check-for-hospital if risk-population? [ if random 100 < 20 [ ;; for the humans of the risk group, a 20% chance of needing a hospital was considered set severe? true]] if not risk-population? [ if random 100 < 5 [ ;; for humans who are not of risk group, a 5% chance of needing a hospital was considered set severe? true]] end ;; If hospital is not at capacity and can travel to hospital (take into account barriers to health), go to it to go-to-hospital set num-patients count turtles-on hospital if num-patients < hospital-capacity * (1 - barriers-to-healthcare) [ move-to one-of hospital set hospitalized? true] end ;; Symptomatic humans may recover from illness or die ;; This will depend on the severity of the case, whether or not the person is hospitalized, and whether or not he belongs to the risk group to recover-or-die if severe? [ ifelse not hospitalized? [ if infectious-period >= random-poisson recovery-time * 2 ;; severe cases will take twice as long to recover [ if risk-population? [ ifelse random 100 < random-poisson 20 [ ;;people in the risk group with severe infection who are not hospitalized have an average 20% chance of surviving set infected? false set symptomatic? false set severe? false set recovered? true] [ set deceased? true ]] if not risk-population? [ ifelse random 100 < random-poisson 60 [ ;;people not in the risk group with severe infection who are not hospitalized have an average 60% chance of surviving set infected? false set symptomatic? false set severe? false set recovered? true] [ set deceased? true ]]]] [if infectious-period >= random-poisson recovery-time * 1.5 [ if risk-population? [ ifelse random 100 < (100 - random-poisson 7) * healthcare-quality ;; people in the risk group who are hospitalized have an average 93% chance of surviving (assuming full healthcare quality) [ set infected? false set symptomatic? false set severe? false set recovered? true] [ set deceased? true ]] if not risk-population? [ ifelse random 100 < (100 - random-poisson 1) * healthcare-quality ;; people not in the risk group who are hospitalized have an average 99% chance of surviving (assuming full healthcare quality) [ set infected? false set symptomatic? false set severe? false set recovered? true] [ set deceased? true ]]]]] if not severe? ;; infected, symptomatic people who do not need a hospital will always recover from infection [ if infectious-period >= random-poisson recovery-time [ set infected? false set symptomatic? false set recovered? true ]] end ;; This R0 is a numerical estimate of the basic reproduction number, as proposed by Uri Wilensky (see epiDEM basic and epiDEM travel and control) to calculate-r0 set s0 initial-population - initial-infected if ((initial-population - count turtles with [ susceptible? ]) != 0 and (count turtles with [ susceptible? ] != 0)) ;; Prevent from dividing by 0 [ set r0 (ln (s0 / count turtles with [ susceptible? ]) / (initial-population - count turtles with [ susceptible? ])) set r0 r0 * s0 ] end ;;; ;;; TO REPORT PROCEDURES ;;; to-report num-susceptible report (count turtles with [susceptible?]) end to-report num-exposed report (count turtles with [exposed?]) end to-report num-infected report (count turtles with [infected?]) end to-report num-recovered report (count turtles with [recovered? and not deceased?]) end to-report num-deceased report (count turtles with [deceased?]) end to-report total-mortality report ((count turtles with [deceased?]) / initial-population) * 100 end to-report infected-mortality report ((count turtles with [deceased?]) / (initial-population - count turtles with [susceptible?])) * 100 end to-report symptomatic-mortality report ((count turtles with [deceased?]) / count-symptomatic) * 100 end to-report infected-from-touch report (count turtles with [exposure-from-touch?]) end
There is only one version of this model, created over 3 years ago by Lorena Morejon.
Attached files
File | Type | Description | Last updated | |
---|---|---|---|---|
COVID-19 SEIR-D Model Paper.pdf | An Agent-Based SEIR-D Model of COVID-19: Effects of Risk Factors and Control Measures Relevant to Farmworker Communities | over 3 years ago, by Lorena Morejon | Download | |
COVID-19 SEIRD Farmworkers.png | preview | Preview for 'COVID-19 SEIRD Farmworkers' | over 3 years ago, by Lorena Morejon | Download |
COVID-19 SEIRD PowerPoint Presentation.pdf | Powerpoint Presentation | over 3 years ago, by Lorena Morejon | Download |
This model does not have any ancestors.
This model does not have any descendants.