{UTF-8}
********************************************************
	.India Metro Corona Model 8 Hindi
********************************************************~
		Copyright 2020 Tom Fiddaman, Ventana Systems, Inc.
		
		Permission is hereby granted, free of charge, to any person obtaining a copy of this \
		software and associated documentation files (the "Software"), to deal in \
		the Software without restriction, including without limitation the rights \
		to use, copy, modify, merge, publish, distribute, sublicense, and/or sell \
		copies of the Software, and to permit persons to whom the Software is \
		furnished to do so, subject to the following conditions:
		
		The above copyright notice and this permission notice shall be included in all \
		copies or substantial portions of the Software.
		
		THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR \
		IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, \
		FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL \
		THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER \
		LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING \
		FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER \
		DEALINGS IN THE SOFTWARE.
	|

"पॉप्युलेशन (Population)"=
	1e+07
	~	people [1,1e+07]
	~		|

Seasonal Period=
	365
	~	days
	~	One year
	|

मौसमका असर=
	1-मौसम का प्रमाण+मौसम का प्रमाण*(1+COS\
		( 2*3.14159*(Time-Peak Season)/Seasonal Period ))/2
	~	dmnl
	~	Effect of season on transmission - peak transmission occurs in winter; \
		transmission in trough = (1-amplitude)
	|

Peak Season=
	0
	~	day
	~		|

लगना=
	इन्फ़ेक्शन का लगना*"ट्रैन्स्मिशन की मात्रा (transmission rate)"\
		*मौसमका असर
	~	people/day
	~		|

मौसम का प्रमाण=
	0
	~	dmnl [0,1]
	~	Amplitude of seasonal swings in transmission.
	|

"मिलन के दर में झुकाव (contact density decline)"=
	0
	~	dmnl [0,4]
	~	Slope of decline in contacts as the infection penetrates to less-connected \
		portions of the social network.
	|

"मिलन का दर (contact rate)"=
	1/(1+"मिलन के दर में झुकाव (contact density decline)"\
		*(1-ससेप्टिब्ल की मात्रा))
	~	dmnl
	~	Decline in contacts as the infection penetrates to less-connected portions \
		of the social network. The effect is real, but the functional form is \
		notional here. This would be a good focus for improvement.
	|

"ट्रैन्स्मिशन की मात्रा (transmission rate)"=
	"अनियंत्रित ट्रैन्स्मिशन मात्रा (uncontrolled transmission rate)"\
		*"सामाजिक वर्ताव से जोखिम (behavioral risk)"\
		*ससेप्टिब्ल की मात्रा*"मिलन का दर (contact rate)"
	~	fraction/day
	~	Fractional rate of transmission from non-isolated infected to the \
		susceptible population.
	|

इन्फ़ेक्शन का लगना=
	"इन्फ़ेक्टेड (infected)"*(1-आइसोलेशन का असर\
		)
	~	people
	~	Effective number of infected people, after adjusting for reduction in \
		infectiousness from isolation, quarantine, and monitoring.
	|

"आइसोलेशन प्रक्रियाकि असरकारकता (isolation effectiveness)"\
		=
	0
	~	fraction [0,1]
	~	Effect of isolation and monitoring measures, absent strain on the system.
	|

आइसोलेशन का असर=
	SMOOTH3(STEP("आइसोलेशन प्रक्रियाकि असरकारकता (isolation effectiveness)"\
		,आनेका समय),"आइसोलेशन के प्रतिभावका समय (reaction time)"\
		)
	/(1+पब्लिक हेल्थ सिस्टम पे दबाव^Public Health Capacity Sensitivity\
		)
	~	fraction [0,1]
	~	Fractional reduction in infections gained by isolating infected persons.
	|

हॉस्पिटल सिस्टम पे दबाव=
	"गंभीर मरीजकि संख्या (serious cases)"/हॉस्पिटल सिस्टम की क्षमता
	~	Index
	~	Strain on hospital capacity, from ratio of serious cases to capacity.
	|

"सामाजिक वर्ताव से जोखिम (behavioral risk)"=
	SMOOTH3(1-STEP("सामाजिक जोखिम मे झुकाव (behavioral risk reduction)"\
		,आनेका समय),"सामाजिक प्रतिभाव का समय (reaction time)"\
		)
	~	dmnl
	~		|

Public Health Capacity Sensitivity=
	2
	~	dmnl [1,5]
	~	Sensitivity of public health performance to capacity constraint.
	|

पब्लिक हेल्थ सिस्टम की क्षमता=
	100000
	~	people
	~	Capacity of the public health system to monitor, quarantine, and trace \
		contacts. Expressed as number of infected people that can be managed. Set \
		optimistically to 10% of the population.
	|

"मृत्यूकी मात्रा (fatality rate)"=
	ट्रीटमेंट ना मिले तो मृत्यूकी मात्रा\
		+(ट्रीटमेंट मिले तो मृत्यूकी मात्रा\
		-ट्रीटमेंट ना मिले तो मृत्यूकी मात्रा\
		)/(1+हॉस्पिटल सिस्टम पे दबाव^Hospital Capacity Sensitivity\
		)
	~	fraction
	~		|

पब्लिक हेल्थ सिस्टम पे दबाव=
	"इन्फ़ेक्टेड (infected)"/पब्लिक हेल्थ सिस्टम की क्षमता
	~	Index
	~	Strain on the public health system, expressed as the burden of infected \
		relative to capacity.
	|

Hospital Capacity Sensitivity=
	2
	~	dmnl [1,5]
	~	Sensitivity of care quality to capacity.
	|

बहरसे इन्फ़ेक्शन=
	बहरके मरीजकि संख्या*PULSE(आनेका समय\
		,TIME STEP)/TIME STEP
	~	people/day
	~	Import of infections into the region. This is a one-time introduction; \
		there is no repeated challenge from an outside reservoir.
	|

ससेप्टिब्ल की मात्रा=
	"ससेप्टिबल (स्वस्थ)"/"पॉप्युलेशन (Population)"
	~	fraction
	~	Fraction of initial population remaining susceptible.
	|

हॉस्पिटल सिस्टम की क्षमता=
	14000
	~	people [0,50000]
	~	Hospital capacity, expressed as number of serious infected cases that can \
		be handled given beds, staff, etc.
	|

"गंभीर मरीजकि संख्या (serious cases)"=
	"इन्फ़ेक्टेड (infected)"*हॉस्पिटलिज़ेशन की मात्रा
	~	people
	~	Serious cases, requiring hospitalization.
	|

"डेथ्स (deaths)"= INTEG (
	मृत्यु,
		0)
	~	people
	~	Cumulative infections resolving to death.
	|

मृत्यु=
	"इन्फ़ेक्टेड (infected)"*"मृत्यूकी मात्रा (fatality rate)"\
		/"इन्फ़ेक्शन डूरेशन (infection duration)"
	~	people/day
	~		|

"इक्स्पोज़्ड (exposed)"= INTEG (
	लगना-बढ़ना,
		0)
	~	people
	~	Exposed, asymptomatic population. As a simplification, assumed to be \
		non-infectious, though there appears to be some infectivity for \
		coronavirus in reality.
	|

हॉस्पिटलिज़ेशन की मात्रा=
	0.1
	~	fraction [0,1,0.01]
	~	Fraction of infected who require hospitalization.
	|

"रिकोवर्ड (recovered)"= INTEG (
	बचना,
		0)
	~	people
	~	Cumulative recovered people. As a simplification, these are assumed immune \
		- there is no reinfection.
	|

बचना=
	"इन्फ़ेक्टेड (infected)"/"इन्फ़ेक्शन डूरेशन (infection duration)"\
		*(1-"मृत्यूकी मात्रा (fatality rate)")
	~	people/day
	~		|

ट्रीटमेंट ना मिले तो मृत्यूकी मात्रा\
		=
	0.04
	~	fraction [0,0.1]
	~	Fatality rate when minimally treated due to overwhelmed, chaotic health \
		care.
	|

"इन्फ़ेक्टेड (infected)"= INTEG (
	बढ़ना+बहरसे इन्फ़ेक्शन-मृत्यु-बचना\
		,
		0)
	~	people
	~	Infected, symptomatic, infectious people.
	|

ट्रीटमेंट मिले तो मृत्यूकी मात्रा\
		=
	0.01
	~	fraction [0,0.1]
	~	Fatality rate with good health care.
	|

बढ़ना=
	"इक्स्पोज़्ड (exposed)"/"इंक्युबेशन टाइम (incumbation time)"
	~	people/day
	~		|

"सामाजिक प्रतिभाव का समय (reaction time)"=
	20
	~	day [1,60]
	~	Time from first infection for behavioral risk reductions to be fully \
		implemented.
	|

"सामाजिक जोखिम मे झुकाव (behavioral risk reduction)"\
		=
	0
	~	fraction [0,1]
	~	Fractional reduction in risk from social distancing, increased \
		handwashing, and other behavioral measures.
	|

"इंक्युबेशन टाइम (incumbation time)"=
	5
	~	day [1,10]
	~	Time to onset of symptoms among exposed people.
	|

बहरके मरीजकि संख्या=
	3
	~	people [0,100]
	~	Number of infections initially imported into the region.
	|

"इन्फ़ेक्शन डूरेशन (infection duration)"=
	7
	~	day [1,10]
	~	Duration of infection. As a simplification, this is the same for cases \
		resulting in recovery and death, though in reality serious cases have \
		longer duration.
	|

"आइसोलेशन के प्रतिभावका समय (reaction time)"\
		=
	2
	~	day [1,30]
	~	Time from first infected person needed to ramp up public health measures.
	|

R0=
	3.3
	~	dmnl [1,4]
	~	Base reproduction ratio for the disease. Plausible range reported for \
		coronavirus is about 2.2-3.9.
	|

"ससेप्टिबल (स्वस्थ)"= INTEG (
	-लगना,
		"पॉप्युलेशन (Population)")
	~	people
	~	Susceptible population.
	|

"अनियंत्रित ट्रैन्स्मिशन मात्रा (uncontrolled transmission rate)"\
		=
	R0/"इन्फ़ेक्शन डूरेशन (infection duration)"
	~	people/person/day
	~	Initial transmission rate, with 100% susceptibles and no controls.
	|

आनेका समय=
	10
	~	day [1,100]
	~	Time of first infection.
	|

********************************************************
	.Control
********************************************************~
		Simulation Control Parameters
	|

FINAL TIME  = 300
	~	day
	~	The final time for the simulation.
	|

INITIAL TIME  = 0
	~	day
	~	The initial time for the simulation.
	|

SAVEPER  = 
        TIME STEP
	~	day [0,?]
	~	The frequency with which output is stored.
	|

TIME STEP  = 0.125
	~	day [0,?]
	~	The time step for the simulation.
	|

\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*Full Model Structure
$192-192-192,0,Arial|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|72,72,90,0
10,1,"ससेप्टिबल (स्वस्थ)",242,296,35,17,3,131,0,24,-1,0,0,0,0-0-0,0-0-0,|14|B|0-0-0,0,0,0,0,0,0
10,2,"इक्स्पोज़्ड (exposed)",435,299,35,17,3,131,0,24,-1,0,0,0,0-0-0,0-0-0,|14|B|0-0-0,0,0,0,0,0,0
10,3,"इन्फ़ेक्टेड (infected)",617,301,34,18,3,131,0,24,-1,0,0,0,-1--1--1,0-0-0,|14|B|0-0-0,0,0,0,0,0,0
10,4,"रिकोवर्ड (recovered)",869,303,44,19,3,131,0,24,-1,0,0,0,0-0-0,0-0-0,|14|B|0-0-0,0,0,0,0,0,0
11,5,1278,334,300,5,6,34,3,0,0,1,0,0,0,0,0,0,0,0,0
10,6,लगना,334,315,17,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|14||0-0-0,0,0,0,0,0,0
1,7,5,1,100,0,0,22,3,0,0,0-0-255,|12||0-0-0,1|(303,300)|
1,8,5,2,4,0,0,22,1,0,0,255-0-0,|12||0-0-0,1|(369,300)|
11,9,420,527,301,5,6,34,3,0,0,1,0,0,0,0,0,0,0,0,0
10,10,बढ़ना,527,316,15,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|14||0-0-0,0,0,0,0,0,0
1,11,9,2,100,0,0,22,1,0,0,255-0-0,|12||0-0-0,1|(496,301)|
1,12,9,3,4,0,0,22,1,0,0,255-0-0,|12||0-0-0,1|(557,301)|
10,13,"इंक्युबेशन टाइम (incumbation time)",442,354,52,15,8,131,1,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,14,"अनियंत्रित ट्रैन्स्मिशन मात्रा (uncontrolled transmission rate)",216,126,58,21,8,131,2,0,0,0,0,0,0,0,0,0,0,0
10,15,R0,217,66,12,12,8,3,1,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
1,16,15,14,0,2,0,0,1,128,0,0-0-0,|12||0-0-0,1|(216,84)|
1,17,13,10,1,1,0,0,1,128,0,0-0-0,|12||0-0-0,1|(485,333)|
10,18,आइसोलेशन का असर,578,430,49,8,8,131,3,0,0,0,0,0,0,0,0,0,0,0
10,19,"इन्फ़ेक्शन डूरेशन (infection duration)",833,258,54,16,8,131,1,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
1,20,2,10,1,1,0,0,1,128,0,0-0-0,|12||0-0-0,1|(454,317)|
10,21,"पॉप्युलेशन (Population)",216,372,49,15,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-0-128,0,0,0,0,0,0
1,22,21,1,0,0,0,0,3,128,1,192-192-192,|12||0-0-0,1|(226,341)|
12,23,48,600,193,26,15,0,3,0,0,-1,0,0,0,0,0,0,0,0,0
1,24,26,3,4,0,0,22,0,0,0,-1--1--1,,1|(600,261)|
1,25,26,23,100,0,0,22,0,0,0,-1--1--1,,1|(600,218)|
11,26,48,600,234,6,5,33,3,0,0,2,0,0,0,0,0,0,0,0,0
10,27,बहरसे इन्फ़ेक्शन,563,234,31,15,40,131,0,0,-1,0,0,0,0,0,0,0,0,0
1,28,30,4,4,0,0,22,0,0,0,-1--1--1,,1|(786,302)|
1,29,30,3,100,0,0,22,0,0,0,-1--1--1,,1|(694,302)|
11,30,1058,742,302,5,6,34,3,0,0,1,0,0,0,0,0,0,0,0,0
10,31,बचना,742,317,16,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|14||0-0-0,0,0,0,0,0,0
1,32,3,31,1,1,0,12,1,128,0,0-128-0,|12||0-0-0,1|(656,324)|
1,33,19,30,1,1,0,0,1,128,0,0-0-0,|12||0-0-0,1|(788,284)|
10,34,"इन्फ़ेक्शन डूरेशन (infection duration)",141,76,57,14,8,130,2,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128,0,0,0,0,0,0
1,35,34,14,0,2,0,0,1,128,0,0-0-0,|12||0-0-0,1|(167,93)|
10,36,बहरके मरीजकि संख्या,489,151,41,14,8,131,1,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,37,आनेका समय,462,196,30,8,8,3,1,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,38,"आइसोलेशन के प्रतिभावका समय (reaction time)",642,479,61,14,8,131,3,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,39,"सामाजिक वर्ताव से जोखिम (behavioral risk)",361,161,64,18,8,131,4,0,0,0,0,0,0,0,0,0,0,0
10,40,"सामाजिक प्रतिभाव का समय (reaction time)",433,84,55,14,8,3,4,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,41,"सामाजिक जोखिम मे झुकाव (behavioral risk reduction)",310,80,64,21,8,131,4,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
1,42,40,39,0,4,0,0,1,128,0,0-0-0,|12||0-0-0,1|(403,115)|
1,43,41,39,0,4,0,0,1,128,0,0-0-0,|12||0-0-0,1|(332,116)|
12,44,0,189,618,113,113,3,44,0,0,2,0,0,0,0,0,0,0,0,0
"ससेप्टिबल (स्वस्थ)",graph
12,45,0,413,618,113,113,3,44,0,0,2,0,0,0,0,0,0,0,0,0
"इक्स्पोज़्ड (exposed)",graph
12,46,0,637,618,113,113,3,44,0,0,2,0,0,0,0,0,0,0,0,0
"इन्फ़ेक्टेड (infected)",graph
12,47,0,861,618,113,113,3,44,0,0,2,0,0,0,0,0,0,0,0,0
"रिकोवर्ड (recovered)",Graph
12,48,0,1086,618,113,113,3,44,0,0,2,0,0,0,0,0,0,0,0,0
"डेथ्स (deaths)",Graph
10,49,ससेप्टिब्ल की मात्रा,162,241,43,8,8,3,2,0,0,0,0,0,0,0,0,0,0,0
10,50,"ट्रैन्स्मिशन की मात्रा (transmission rate)",314,225,53,14,8,3,2,0,0,0,0,0,0,0,0,0,0,0
1,51,1,49,1,2,0,12,0,64,0,-1--1--1,,1|(189,272)|
1,52,21,49,1,2,0,0,1,64,0,0-0-0,|12||0-0-0,1|(180,323)|
1,53,39,50,0,4,0,0,1,64,0,0-0-0,|12||0-0-0,1|(340,189)|
1,54,14,50,1,2,0,0,1,64,0,0-0-0,|12||0-0-0,1|(275,169)|
1,55,49,50,1,2,0,12,0,64,0,-1--1--1,,1|(215,208)|
1,56,50,5,1,2,0,12,0,64,0,-1--1--1,,1|(326,246)|
10,57,इन्फ़ेक्शन का लगना,453,399,45,8,8,3,1,0,0,0,0,0,0,0,0,0,0,0
1,58,3,57,1,1,0,12,1,64,0,255-0-0,|12||0-0-0,1|(557,369)|
1,59,57,6,1,1,0,12,1,64,0,255-0-0,|12||0-0-0,1|(358,367)|
1,60,18,57,1,3,0,12,1,64,0,255-128-0,|12||0-0-0,1|(519,417)|
10,61,"डेथ्स (deaths)",857,218,30,15,3,3,0,24,0,0,0,0,0-0-0,0-0-0,|14|B|0-0-0,0,0,0,0,0,0
1,62,64,61,4,0,0,22,0,0,0,-1--1--1,,3|(691,219)|(699,219)|(763,219)|
1,63,64,3,100,0,0,22,0,0,0,-1--1--1,,1|(691,301)|
11,64,1168,691,259,6,5,33,3,0,0,4,0,0,0,0,0,0,0,0,0
10,65,मृत्यु,717,259,13,9,40,3,0,8,-1,0,0,0,0-0-0,0-0-0,|14||0-0-0,0,0,0,0,0,0
10,66,हॉस्पिटल सिस्टम की क्षमता,721,81,27,23,3,131,3,2,0,0,0,0,0-0-0,0-0-0,|12||0-0-128,0,0,0,0,0,0
10,67,"मृत्यूकी मात्रा (fatality rate)",781,191,37,15,8,131,3,0,0,0,0,0,0,0,0,0,0,0
10,68,"गंभीर मरीजकि संख्या (serious cases)",664,196,48,14,8,131,3,0,0,0,0,0,0,0,0,0,0,0
1,69,3,68,1,3,0,12,1,64,0,255-128-0,|12||0-0-0,1|(637,233)|
10,70,ट्रीटमेंट मिले तो मृत्यूकी मात्रा,824,102,36,20,8,131,3,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,71,ट्रीटमेंट ना मिले तो मृत्यूकी मात्रा,898,136,40,16,8,131,3,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
1,72,70,67,0,3,0,0,1,64,0,0-0-0,|12||0-0-0,1|(804,142)|
1,73,71,67,0,3,0,0,1,64,0,0-0-0,|12||0-0-0,1|(844,161)|
1,74,67,65,1,3,0,12,1,64,0,255-128-0,|12||0-0-0,1|(760,224)|
1,75,67,30,1,3,0,0,1,64,0,0-0-0,|12||0-0-0,1|(769,259)|
1,76,3,64,1,1,0,0,1,64,0,0-0-0,|12||0-0-0,1|(663,279)|
1,77,19,65,1,1,0,0,1,64,0,0-0-0,|12||0-0-0,1|(766,274)|
10,78,हॉस्पिटलिज़ेशन की मात्रा,596,147,43,15,8,131,3,0,0,0,0,0,0,0,0,0,0,0
1,79,78,68,0,3,0,0,1,64,0,0-0-0,|12||0-0-0,1|(624,167)|
10,80,पब्लिक हेल्थ सिस्टम की क्षमता,762,384,40,20,3,3,3,2,-1,0,0,0,0-0-0,0-0-0,|12||0-0-128,0,0,0,0,0,0
10,81,"आइसोलेशन प्रक्रियाकि असरकारकता (isolation effectiveness)",746,447,58,21,8,131,3,2,-1,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
1,82,81,18,1,3,0,0,1,192,0,0-0-0,|12||0-0-0,1|(678,423)|
1,83,37,27,0,1,0,0,1,64,0,0-0-0,|12||0-0-0,1|(500,210)|
1,84,36,27,0,1,0,0,1,64,0,0-0-0,|12||0-0-0,1|(520,186)|
10,85,TIME STEP,450,225,43,12,8,2,6,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128,0,0,0,0,0,0
1,86,85,27,0,6,0,0,1,64,0,0-0-0,|12||0-0-0,1|(505,228)|
10,87,Hospital Capacity Sensitivity,915,168,51,20,8,3,6,2,-1,0,0,0,0-0-0,0-0-0,|12||128-128-128,0,0,0,0,0,0
10,88,आनेका समय,515,473,37,8,8,2,6,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128,0,0,0,0,0,0
10,89,आनेका समय,452,121,37,8,8,2,6,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128,0,0,0,0,0,0
1,90,89,39,0,6,0,0,1,192,0,0-0-0,|12||0-0-0,1|(423,133)|
1,91,87,67,0,6,0,0,1,192,0,0-0-0,|12||0-0-0,1|(847,178)|
10,92,हॉस्पिटल सिस्टम पे दबाव,706,146,41,15,8,131,3,0,-1,0,0,0,0,0,0,0,0,0
10,93,पब्लिक हेल्थ सिस्टम पे दबाव,624,364,39,19,8,131,3,0,-1,0,0,0,0,0,0,0,0,0
1,94,3,93,1,3,0,12,1,192,0,255-128-0,|12||0-0-0,1|(626,329)|
1,95,93,18,1,3,0,12,1,192,0,255-128-0,|12||0-0-0,1|(624,389)|
1,96,68,92,1,3,0,12,1,192,0,255-128-0,|12||0-0-0,1|(688,164)|
1,97,92,67,1,3,0,12,1,192,0,255-128-0,|12||0-0-0,1|(757,155)|
1,98,66,92,1,3,0,0,1,192,0,0-0-0,|12||0-0-0,1|(726,105)|
10,99,Public Health Capacity Sensitivity,840,451,56,20,8,3,6,2,-1,0,0,0,0-0-0,0-0-0,|12||128-128-128,0,0,0,0,0,0
1,100,99,18,1,6,0,0,1,64,0,0-0-0,|12||0-0-0,1|(716,418)|
1,101,80,93,0,3,0,0,1,192,0,0-0-0,|12||0-0-0,1|(699,375)|
1,102,38,18,0,3,0,0,1,192,0,0-0-0,|12||0-0-0,1|(611,455)|
1,103,88,18,0,6,0,0,1,192,0,0-0-0,|12||0-0-0,1|(540,455)|
10,104,"मिलन का दर (contact rate)",158,186,37,17,8,131,2,0,-1,0,0,0,0,0,0,0,0,0
10,105,"मिलन के दर में झुकाव (contact density decline)",88,133,50,21,8,131,2,2,-1,0,0,0,0-0-0,0-0-0,|12||128-128-128,0,0,0,0,0,0
1,106,105,104,0,2,0,0,1,192,0,0-0-0,|12||0-0-0,1|(119,157)|
1,107,49,104,1,2,0,0,0,192,0,-1--1--1,,1|(146,207)|
1,108,104,50,1,2,0,0,0,192,0,-1--1--1,,1|(217,178)|
12,109,0,1085,393,113,113,3,15,0,0,2,0,0,0,0,0,0,0,0,0
पब्लिक हेल्थ सिस्टम पे दबाव,graph
12,110,0,1085,168,113,113,3,15,0,0,2,0,0,0,0,0,0,0,0,0
हॉस्पिटल सिस्टम पे दबाव,graph
12,111,0,585,31,85,21,8,135,0,18,-1,0,0,0,-1--1--1,128-0-0,|12|B|128-128-0,-1,-1,0,0,0,0
Community Coronavirus Conceptual Model
12,112,0,810,60,38,13,8,135,0,18,-1,0,253,253,-1--1--1,0-0-0,|12|U|0-0-255,0,0,0,0,0,0
http://metasd.com|metasd.com
10,113,मौसमका असर,303,399,34,8,8,3,5,0,0,0,0,0,0,0,0,0,0,0
10,114,Peak Season,402,434,40,12,8,3,6,2,0,0,0,0,0-0-0,0-0-0,|12||128-128-128,0,0,0,0,0,0
10,115,मौसम का प्रमाण,348,466,38,8,8,3,5,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
1,116,114,113,0,6,0,0,1,128,0,0-0-0,|12||0-0-0,1|(353,416)|
10,117,Seasonal Period,177,402,48,12,8,3,6,2,0,0,0,0,0-0-0,0-0-0,|12||128-128-128,0,0,0,0,0,0
1,118,117,113,0,6,0,0,1,128,0,0-0-0,|12||0-0-0,1|(240,400)|
10,119,Time,280,467,25,12,8,2,6,3,-1,0,0,0,128-128-128,0-0-0,|12||128-128-128,0,0,0,0,0,0
1,120,119,113,0,6,0,0,1,64,0,0-0-0,|12||0-0-0,1|(289,437)|
1,121,113,6,1,5,0,0,1,128,0,0-0-0,|12||0-0-0,1|(303,363)|
1,122,115,113,1,5,0,0,1,128,0,0-0-0,|12||0-0-0,1|(343,462)|
12,123,0,135,413,132,10,0,7,0,10,0,0,0,0,-1--1--1,0-0-0,|16||128-0-0,-1,-1,0,0,0,0
रोग के लक्षण (Disease Characteristics)
12,124,0,150,460,41,9,0,7,0,10,-1,0,0,0,-1--1--1,0-0-0,|14||0-128-0,-1,-1,0,0,0,0
पॉलिसी लिवर्स 
12,125,0,152,487,50,9,0,7,0,10,0,0,0,0,-1--1--1,0-0-0,|14||128-128-128,-1,-1,0,0,0,0
अन्य/छोटे पेरामिटर 
12,126,0,912,60,38,13,8,135,0,18,-1,0,253,253,-1--1--1,0-0-0,|12|U|0-0-255,0,0,0,0,0,0
http://vensim.com|vensim.com
12,127,0,589,113,134,7,0,7,0,26,-1,0,253,253,-1--1--1,0-0-0,|10|U|0-0-255,0,0,0,0,0,0
https://opensource.org/licenses/MIT|(C) 2020 - MIT License
12,128,0,152,434,152,10,0,7,0,10,-1,0,0,0,-1--1--1,0-0-0,|16||0-0-128,-1,-1,0,0,0,0
समाज के लक्षण (Community Characteristics)
12,129,0,894,469,55,17,3,135,0,22,-1,0,2,0,-1--1--1,0-0-128,|12|B|255-255-255,0,0,0,0,0,0
Controls
12,130,0,586,61,102,17,8,135,0,2,-1,0,0,0,-1--1--1,0-0-0,|12||128-128-0,-1,-1,0,0,0,0
Tom Fiddaman, Ventana Systems, Inc., 2020
12,131,0,586,90,63,14,8,7,0,2,-1,0,0,0,-1--1--1,0-0-0,|12||255-0-0,-1,-1,0,0,0,0
Adapted to India by Chintan Vaishnav, MIT
12,132,0,865,16,85,20,8,135,0,16,0,0,0,0,-1--1--1,0-0-0,|12|B|0-0-0,-1,-1,0,0,0,0
Model in Hindi+English and Software Available at:
12,133,0,865,42,73,9,8,135,0,18,-1,0,0,0,-1--1--1,0-0-0,|12|U|0-0-255,-1,-1,0,0,0,0
web.mit.edu/chintanv/www/
\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*Policy Exploration - Deaths
$192-192-192,0,Arial|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|72,72,100,0
12,1,0,558,50,73,18,8,135,0,8,-1,0,0,0,-1--1--1,0-0-0,|16||0-0-0,0,0,0,0,0,0
Parameters Affected by Policies
12,2,0,257,50,89,27,8,135,0,8,-1,0,0,0,-1--1--1,0-0-0,|16||0-0-0,0,0,0,0,0,0
Parameters Characterizing the Disease and Community
12,3,0,899,124,177,116,3,191,0,0,2,0,0,0,0,0,0,0,0,0
हॉस्पिटल सिस्टम पे दबाव,graph
12,4,0,899,356,177,116,3,188,0,0,2,0,0,0,0,0,0,0,0,0
"डेथ्स (deaths)",Graph
10,5,"आइसोलेशन के प्रतिभावका समय (reaction time)",557,334,40,19,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,6,"सामाजिक प्रतिभाव का समय (reaction time)",558,192,41,14,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,7,"सामाजिक जोखिम मे झुकाव (behavioral risk reduction)",558,119,44,14,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,8,"आइसोलेशन प्रक्रियाकि असरकारकता (isolation effectiveness)",559,269,50,21,8,131,0,2,-1,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,9,"इंक्युबेशन टाइम (incumbation time)",283,177,70,12,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,10,बहरके मरीजकि संख्या,561,407,34,21,8,131,0,2,0,0,0,0,-1--1--1,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,11,ट्रीटमेंट मिले तो मृत्यूकी मात्रा,257,346,43,14,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,12,ट्रीटमेंट ना मिले तो मृत्यूकी मात्रा,257,286,35,14,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,13,मौसम का प्रमाण,257,226,28,14,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,14,"पॉप्युलेशन (Population)",257,400,44,8,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-0-128,0,0,0,0,0,0
12,15,0,74,49,55,17,3,135,0,22,-1,0,1,0,-1--1--1,0-0-128,|12|B|255-255-255,0,0,0,0,0,0
Structure
12,16,0,74,96,55,17,3,135,0,22,-1,0,2,0,-1--1--1,0-0-128,|12|B|255-255-255,0,0,0,0,0,0
Policy - Deaths
12,17,0,74,144,55,17,3,135,0,22,-1,0,3,0,-1--1--1,0-0-128,|12|B|255-255-255,0,0,0,0,0,0
Policy - Infections
12,18,0,284,451,267,16,8,135,0,18,-1,0,0,0,-1--1--1,128-0-0,|12|B|192-192-192,0,0,0,0,0,0
Community Coronavirus Conceptual Model - Tom Fiddaman, Ventana Systems, Inc., 2020
12,19,0,157,96,15,15,2,3,0,4,-1,0,0,0,-1--1--1,0-0-128,|12||0-0-0,0,0,0,0,0,0
10,20,R0,257,119,12,12,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*Policy Exploration - Infection
$192-192-192,0,Arial|12||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|72,72,100,0
12,1,0,606,50,73,18,8,135,0,8,-1,0,0,0,-1--1--1,0-0-0,|16||0-0-0,0,0,0,0,0,0
Parameters Affected by Policies
12,2,0,305,50,89,27,8,135,0,8,-1,0,0,0,-1--1--1,0-0-0,|16||0-0-0,0,0,0,0,0,0
Parameters Characterizing the Disease and Community
12,3,0,947,124,177,116,3,191,0,0,2,0,0,0,0,0,0,0,0,0
लगना,graph
12,4,0,947,356,177,116,3,188,0,0,2,0,0,0,0,0,0,0,0,0
"इन्फ़ेक्टेड (infected)",Graph
10,5,"आइसोलेशन के प्रतिभावका समय (reaction time)",611,332,46,17,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,6,"सामाजिक प्रतिभाव का समय (reaction time)",612,196,47,18,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,7,"सामाजिक जोखिम मे झुकाव (behavioral risk reduction)",610,123,48,18,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,8,"आइसोलेशन प्रक्रियाकि असरकारकता (isolation effectiveness)",613,269,56,20,8,131,0,2,-1,0,0,0,0-0-0,0-0-0,|12||0-128-0,0,0,0,0,0,0
10,9,बहरके मरीजकि संख्या,618,406,43,20,8,131,0,2,0,0,0,0,-1--1--1,0-0-0,|12||0-128-0,0,0,0,0,0,0
12,10,0,122,49,55,17,3,135,0,22,-1,0,1,0,-1--1--1,0-0-128,|12|B|255-255-255,0,0,0,0,0,0
Structure
12,11,0,122,96,55,17,3,135,0,22,-1,0,2,0,-1--1--1,0-0-128,|12|B|255-255-255,0,0,0,0,0,0
Policy - Deaths
12,12,0,122,144,55,17,3,135,0,22,-1,0,3,0,-1--1--1,0-0-128,|12|B|255-255-255,0,0,0,0,0,0
Policy - Infections
12,13,0,332,451,267,16,8,135,0,18,-1,0,0,0,-1--1--1,128-0-0,|12|B|192-192-192,0,0,0,0,0,0
Community Coronavirus Conceptual Model - Tom Fiddaman, Ventana Systems, Inc., 2020
12,14,0,205,144,15,15,2,3,0,4,-1,0,0,0,-1--1--1,0-0-128,|12||0-0-0,0,0,0,0,0,0
10,15,"इंक्युबेशन टाइम (incumbation time)",322,183,59,19,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,16,ट्रीटमेंट मिले तो मृत्यूकी मात्रा,309,349,47,17,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,17,ट्रीटमेंट ना मिले तो मृत्यूकी मात्रा,312,292,42,20,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,18,मौसम का प्रमाण,305,226,28,14,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
10,19,"पॉप्युलेशन (Population)",305,400,44,8,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||0-0-128,0,0,0,0,0,0
10,20,R0,305,119,12,12,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|12||128-0-0,0,0,0,0,0,0
///---\\\
:GRAPH Infection_Sources
:TITLE Infection Sources
:SCALE
:VAR Infecting
:VAR Importing Exposed
:VAR Importing Infected
:VAR Intercepting
:L<%^E!@
1:isolated+behavior.vdfx
9:isolated+behavior
22:day,days
22:dmnl,index
22:people,person
23:0
15:0,0,0,0,0,0
19:90,0
27:0,
34:0,
4:Time
5:FINAL TIME
35:Date
36:DD-MM-YY
37:2020
38:3
39:1
40:4
41:1
42:0
72:0
73:0
76:0
77:0
78:0
79:0
80:0
81:0
24:0
25:300
26:300
75:
43: