private void CalculateSerialAlgorithm()
{
double totalHIVPostoContinue, totalHIVNegativetoContinue;
double HIVPostoContinueTiebreaker, HIVNegativetoContinueTiebreaker;
for (int i = 0; i < 12; i++)
{
MOutputRapidTest rapidout = new MOutputRapidTest(i + 1);
rapidout.HIVAdultsThatDonotFollowup = _adultsThatdonotFollowup;
rapidout.HIVPediatrcisThatDonotFollowup = _pediatrcisThatdonotFollowup;
rapidout.PrevalenceOfAdultTestingPop = _prevalenceofAdultTestingPop;
rapidout.PrevalenceOfPediatricTestingPop = _prevalenceofPediatricTestingPop;
rapidout.AdultsEnteringTreatment = CalculatedPatientNos[i + 1].AdultEnteringARTfromoutsidePreART;
rapidout.AdultsEnteringPreART = CalculatedPatientNos[i + 1].AdultEnteringpreARTeachmonth;
rapidout.PediatricsEnteringTreatment = CalculatedPatientNos[i + 1].PediatricEnteringARTfromoutsidePreART;
rapidout.PediatricsEnteringPreART = CalculatedPatientNos[i + 1].PediatricEnteringpreARTeachmonth;
_screeningTests[i, 0] = rapidout.TotalPatientsToScreen * (ArtSite.ScrTest1Percent / 100d);
_screeningTests[i, 1] = rapidout.TotalPatientsToScreen * (ArtSite.ScrTest2Percent / 100d);
_screeningTests[i, 2] = rapidout.TotalPatientsToScreen * (ArtSite.ScrTest3Percent / 100d);
totalHIVPostoContinue = (ArtSite.ScrTest1Percent / 100d) * rapidout.HIVPositivePopulation * RTestAlgorithm.ScreeningTestSensitivty(1);
totalHIVPostoContinue += (ArtSite.ScrTest2Percent / 100d) * rapidout.HIVPositivePopulation * RTestAlgorithm.ScreeningTestSensitivty(2);
totalHIVPostoContinue += (ArtSite.ScrTest3Percent / 100d) * rapidout.HIVPositivePopulation * RTestAlgorithm.ScreeningTestSensitivty(3);
totalHIVNegativetoContinue = (ArtSite.ScrTest1Percent / 100d) * rapidout.HIVNegativePopulation * RTestAlgorithm.ScreeningTestFalsePositive(1);
totalHIVNegativetoContinue += (ArtSite.ScrTest2Percent / 100d) * rapidout.HIVNegativePopulation * RTestAlgorithm.ScreeningTestFalsePositive(2);
totalHIVNegativetoContinue += (ArtSite.ScrTest3Percent / 100d) * rapidout.HIVNegativePopulation * RTestAlgorithm.ScreeningTestFalsePositive(3);
_confirmateryTests[i, 0] = (totalHIVPostoContinue + totalHIVNegativetoContinue) * (ArtSite.ConTest1Percent / 100d);
_confirmateryTests[i, 1] = (totalHIVPostoContinue + totalHIVNegativetoContinue) * (ArtSite.ConTest2Percent / 100d);
_confirmateryTests[i, 2] = (totalHIVPostoContinue + totalHIVNegativetoContinue) * (ArtSite.ConTest3Percent / 100d);
HIVPostoContinueTiebreaker = (ArtSite.ConTest1Percent / 100d) * totalHIVPostoContinue * RTestAlgorithm.ConfirmatoryTestFalseNegative(1);
HIVPostoContinueTiebreaker += (ArtSite.ConTest2Percent / 100d) * totalHIVPostoContinue * RTestAlgorithm.ConfirmatoryTestFalseNegative(2);
HIVPostoContinueTiebreaker += (ArtSite.ConTest3Percent / 100d) * totalHIVPostoContinue * RTestAlgorithm.ConfirmatoryTestFalseNegative(3);
HIVNegativetoContinueTiebreaker = (ArtSite.ConTest1Percent / 100d) * totalHIVNegativetoContinue * RTestAlgorithm.ConfirmatoryTestSpecificity(1);
HIVNegativetoContinueTiebreaker += (ArtSite.ConTest2Percent / 100d) * totalHIVNegativetoContinue * RTestAlgorithm.ConfirmatoryTestSpecificity(2);
HIVNegativetoContinueTiebreaker += (ArtSite.ConTest3Percent / 100d) * totalHIVNegativetoContinue * RTestAlgorithm.ConfirmatoryTestSpecificity(3);
_tiebreakerTests[i, 0] = (HIVPostoContinueTiebreaker + HIVNegativetoContinueTiebreaker) * (ArtSite.TieTest1Percent / 100d);
_tiebreakerTests[i, 1] = (HIVPostoContinueTiebreaker + HIVNegativetoContinueTiebreaker) * (ArtSite.TieTest2Percent / 100d);
_tiebreakerTests[i, 2] = (HIVPostoContinueTiebreaker + HIVNegativetoContinueTiebreaker) * (ArtSite.TieTest3Percent / 100d);
_rapidTestOutputs.Add(i + 1, rapidout);
}
AdjustRapidTestBufferStock();
}
private void CalculateSerialAlgorithm()
{
double totalHIVPostoContinue, totalHIVNegativetoContinue;
double HIVPostoContinueTiebreaker, HIVNegativetoContinueTiebreaker;
for (int i = 0; i < 12; i++)
{
MOutputRapidTest rapidout = new MOutputRapidTest(i + 1);
rapidout.HIVAdultsThatDonotFollowup = _adultsThatdonotFollowup;
rapidout.HIVPediatrcisThatDonotFollowup = _pediatrcisThatdonotFollowup;
rapidout.PrevalenceOfAdultTestingPop = _prevalenceofAdultTestingPop;
rapidout.PrevalenceOfPediatricTestingPop = _prevalenceofPediatricTestingPop;
rapidout.AdultsEnteringTreatment = CalculatedPatientNos[i + 1].AdultEnteringARTfromoutsidePreART;
rapidout.AdultsEnteringPreART = CalculatedPatientNos[i + 1].AdultEnteringpreARTeachmonth;
rapidout.PediatricsEnteringTreatment = CalculatedPatientNos[i + 1].PediatricEnteringARTfromoutsidePreART;
rapidout.PediatricsEnteringPreART = CalculatedPatientNos[i + 1].PediatricEnteringpreARTeachmonth;
_screeningTests[i, 0] = rapidout.TotalPatientsToScreen * (ArtSite.ScrTest1Percent / 100d);
_screeningTests[i, 1] = rapidout.TotalPatientsToScreen * (ArtSite.ScrTest2Percent / 100d);
_screeningTests[i, 2] = rapidout.TotalPatientsToScreen * (ArtSite.ScrTest3Percent / 100d);
totalHIVPostoContinue = (ArtSite.ScrTest1Percent/100d) * rapidout.HIVPositivePopulation * RTestAlgorithm.ScreeningTestSensitivty(1);
totalHIVPostoContinue += (ArtSite.ScrTest2Percent/100d) * rapidout.HIVPositivePopulation * RTestAlgorithm.ScreeningTestSensitivty(2);
totalHIVPostoContinue += (ArtSite.ScrTest3Percent / 100d) * rapidout.HIVPositivePopulation * RTestAlgorithm.ScreeningTestSensitivty(3);
totalHIVNegativetoContinue = (ArtSite.ScrTest1Percent / 100d) * rapidout.HIVNegativePopulation * RTestAlgorithm.ScreeningTestFalsePositive(1);
totalHIVNegativetoContinue += (ArtSite.ScrTest2Percent / 100d) * rapidout.HIVNegativePopulation * RTestAlgorithm.ScreeningTestFalsePositive(2);
totalHIVNegativetoContinue += (ArtSite.ScrTest3Percent / 100d) * rapidout.HIVNegativePopulation * RTestAlgorithm.ScreeningTestFalsePositive(3);
_confirmateryTests[i, 0] = (totalHIVPostoContinue + totalHIVNegativetoContinue) * (ArtSite.ConTest1Percent / 100d);
_confirmateryTests[i, 1] = (totalHIVPostoContinue + totalHIVNegativetoContinue) * (ArtSite.ConTest2Percent / 100d);
_confirmateryTests[i, 2] = (totalHIVPostoContinue + totalHIVNegativetoContinue) * (ArtSite.ConTest3Percent / 100d);
HIVPostoContinueTiebreaker = (ArtSite.ConTest1Percent / 100d) * totalHIVPostoContinue * RTestAlgorithm.ConfirmatoryTestFalseNegative(1);
HIVPostoContinueTiebreaker += (ArtSite.ConTest2Percent/100d) * totalHIVPostoContinue * RTestAlgorithm.ConfirmatoryTestFalseNegative(2);
HIVPostoContinueTiebreaker += (ArtSite.ConTest3Percent/100d) * totalHIVPostoContinue * RTestAlgorithm.ConfirmatoryTestFalseNegative(3);
HIVNegativetoContinueTiebreaker = (ArtSite.ConTest1Percent/100d) * totalHIVNegativetoContinue * RTestAlgorithm.ConfirmatoryTestSpecificity(1);
HIVNegativetoContinueTiebreaker += (ArtSite.ConTest2Percent/100d) * totalHIVNegativetoContinue * RTestAlgorithm.ConfirmatoryTestSpecificity(2);
HIVNegativetoContinueTiebreaker += (ArtSite.ConTest3Percent / 100d) * totalHIVNegativetoContinue * RTestAlgorithm.ConfirmatoryTestSpecificity(3);
_tiebreakerTests[i, 0] = (HIVPostoContinueTiebreaker + HIVNegativetoContinueTiebreaker) * (ArtSite.TieTest1Percent / 100d);
_tiebreakerTests[i, 1] = (HIVPostoContinueTiebreaker + HIVNegativetoContinueTiebreaker) * (ArtSite.TieTest2Percent / 100d);
_tiebreakerTests[i, 2] = (HIVPostoContinueTiebreaker + HIVNegativetoContinueTiebreaker) * (ArtSite.TieTest3Percent / 100d);
_rapidTestOutputs.Add(i + 1, rapidout);
}
AdjustRapidTestBufferStock();
}
private void CalculateParallelAlgorithm()
{
double[,] proToNextstage = new double[3, 2];
double proc, an, pn;
for (int i = 1; i <= 3; i++)
{
proc = an = pn = 0;
proc = RTestAlgorithm.ScreeningTestSensitivty(i) * RTestAlgorithm.ConfirmatoryTestSensitivty(i);
an += RTestAlgorithm.BothPositiveProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.BothPositiveProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestSensitivty(i) * RTestAlgorithm.ConfirmatoryTestFalseNegative(i);
an += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestFalseNegative(i) * RTestAlgorithm.ConfirmatoryTestSensitivty(i);
an += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestFalseNegative(i) * RTestAlgorithm.ConfirmatoryTestFalseNegative(i);
an += RTestAlgorithm.BothNegativeProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.BothNegativeProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestSpecificity(i) * RTestAlgorithm.ConfirmatoryTestSpecificity(i);
an += RTestAlgorithm.BothNegativeProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.BothNegativeProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proc = RTestAlgorithm.ScreeningTestSpecificity(i) * RTestAlgorithm.ConfirmatoryTestFalsePositive(i);
an += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proc = RTestAlgorithm.ScreeningTestFalsePositive(i) * RTestAlgorithm.ConfirmatoryTestSpecificity(i);
an += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proc = RTestAlgorithm.ScreeningTestFalsePositive(i) * RTestAlgorithm.ConfirmatoryTestFalsePositive(i);
an += RTestAlgorithm.BothPositiveProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.BothPositiveProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proToNextstage[i - 1, 0] = an;
proToNextstage[i - 1, 1] = pn;
}
string[,] product = new string[9, 2];
product[0, 0] = ArtSite.ScrTest1.ToString();
product[1, 0] = ArtSite.ConTest1.ToString();
product[2, 0] = ArtSite.ScrTest2.ToString();
product[3, 0] = ArtSite.ConTest2.ToString();
product[4, 0] = ArtSite.ScrTest3.ToString();
product[5, 0] = ArtSite.ConTest3.ToString();
product[6, 0] = ArtSite.TieTest1.ToString();
product[7, 0] = ArtSite.TieTest2.ToString();
product[8, 0] = ArtSite.TieTest3.ToString();
double s1, n1, s2, n2;
for (int i = 0; i < 12; i++)
{
MOutputRapidTest rapidout = new MOutputRapidTest(i + 1);
rapidout.HIVAdultsThatDonotFollowup = _adultsThatdonotFollowup;
rapidout.HIVPediatrcisThatDonotFollowup = _pediatrcisThatdonotFollowup;
rapidout.PrevalenceOfAdultTestingPop = _prevalenceofAdultTestingPop;
rapidout.PrevalenceOfPediatricTestingPop = _prevalenceofPediatricTestingPop;
rapidout.AdultsEnteringTreatment = CalculatedPatientNos[i + 1].AdultEnteringARTfromoutsidePreART;
rapidout.AdultsEnteringPreART = CalculatedPatientNos[i + 1].AdultEnteringpreARTeachmonth;
rapidout.PediatricsEnteringTreatment = CalculatedPatientNos[i + 1].PediatricEnteringARTfromoutsidePreART;
rapidout.PediatricsEnteringPreART = CalculatedPatientNos[i + 1].PediatricEnteringpreARTeachmonth;
_rapidTestOutputs.Add(i + 1, rapidout);
s1 = rapidout.TotalAdultsTested * (ArtSite.ScrTest1Percent / 100d); // _totalPositiveToscreen[i, 1] * (ArtSite.ScrTest1Percent / 100d);
n1 = s1 * proToNextstage[0, 0];
s2 = rapidout.TotalPediatricsTested * (ArtSite.ScrTest1Percent / 100d); // _totalPositiveToscreen[i, 2] * (ArtSite.ScrTest1Percent / 100d);
n2 = s2 * proToNextstage[0, 1];
product[0, 1] = (s1 + s2).ToString();
product[1, 1] = (s1 + s2).ToString();
s1 = rapidout.TotalAdultsTested * (ArtSite.ScrTest2Percent / 100d); //_totalPositiveToscreen[i, 1] * (ArtSite.ScrTest2Percent / 100d);
n1 += s1 * proToNextstage[1, 0];
s2 = rapidout.TotalPediatricsTested * (ArtSite.ScrTest2Percent / 100d); //_totalPositiveToscreen[i, 2] * (ArtSite.ScrTest2Percent / 100d);
n2 += s2 * proToNextstage[1, 1];
product[2, 1] = (s1 + s2).ToString();
product[3, 1] = (s1 + s2).ToString();
s1 = rapidout.TotalAdultsTested * (ArtSite.ScrTest3Percent / 100d); //_totalPositiveToscreen[i, 1] * (ArtSite.ScrTest3Percent / 100d);
n1 += s1 * proToNextstage[2, 0];
s2 = rapidout.TotalPediatricsTested * (ArtSite.ScrTest3Percent / 100d); //_totalPositiveToscreen[i, 2] * (ArtSite.ScrTest3Percent / 100d);
n2 += s2 * proToNextstage[2, 1];
product[4, 1] = (s1 + s2).ToString();
product[5, 1] = (s1 + s2).ToString();
product[6, 1] = (n1 + n2).ToString();
product[7, 1] = (n1 + n2).ToString();
product[8, 1] = (n1 + n2).ToString();
_screeningTests[i, 0] = SumByProductId(ArtSite.ScrTest1, product, 0, 5);
_screeningTests[i, 1] = SumByProductId(ArtSite.ScrTest2, product, 0, 5);
_screeningTests[i, 2] = SumByProductId(ArtSite.ScrTest3, product, 0, 5);
_confirmateryTests[i, 0] = SumByProductId(ArtSite.ConTest1, product, 0, 5);
_confirmateryTests[i, 1] = SumByProductId(ArtSite.ConTest2, product, 0, 5);
_confirmateryTests[i, 2] = SumByProductId(ArtSite.ConTest3, product, 0, 5);
_tiebreakerTests[i, 0] = (ArtSite.TieTest1Percent/100d)* SumByProductId(ArtSite.TieTest1, product, 6, 8);
_tiebreakerTests[i, 1] = (ArtSite.TieTest2Percent / 100d) * SumByProductId(ArtSite.TieTest2, product, 6, 8);
_tiebreakerTests[i, 2] = (ArtSite.TieTest3Percent / 100d) * SumByProductId(ArtSite.TieTest3, product, 6, 8);
}
AdjustRapidTestBufferStock();
}
private void CalculateParallelAlgorithm()
{
double[,] proToNextstage = new double[3, 2];
double proc, an, pn;
for (int i = 1; i <= 3; i++)
{
proc = an = pn = 0;
proc = RTestAlgorithm.ScreeningTestSensitivty(i) * RTestAlgorithm.ConfirmatoryTestSensitivty(i);
an += RTestAlgorithm.BothPositiveProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.BothPositiveProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestSensitivty(i) * RTestAlgorithm.ConfirmatoryTestFalseNegative(i);
an += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestFalseNegative(i) * RTestAlgorithm.ConfirmatoryTestSensitivty(i);
an += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestFalseNegative(i) * RTestAlgorithm.ConfirmatoryTestFalseNegative(i);
an += RTestAlgorithm.BothNegativeProceed ? proc * _prevalenceofAdultTestingPop : 0;
pn += RTestAlgorithm.BothNegativeProceed ? proc * _prevalenceofPediatricTestingPop : 0;
proc = RTestAlgorithm.ScreeningTestSpecificity(i) * RTestAlgorithm.ConfirmatoryTestSpecificity(i);
an += RTestAlgorithm.BothNegativeProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.BothNegativeProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proc = RTestAlgorithm.ScreeningTestSpecificity(i) * RTestAlgorithm.ConfirmatoryTestFalsePositive(i);
an += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proc = RTestAlgorithm.ScreeningTestFalsePositive(i) * RTestAlgorithm.ConfirmatoryTestSpecificity(i);
an += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.DiscordantProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proc = RTestAlgorithm.ScreeningTestFalsePositive(i) * RTestAlgorithm.ConfirmatoryTestFalsePositive(i);
an += RTestAlgorithm.BothPositiveProceed ? proc * (1 - _prevalenceofAdultTestingPop) : 0;
pn += RTestAlgorithm.BothPositiveProceed ? proc * (1 - _prevalenceofPediatricTestingPop) : 0;
proToNextstage[i - 1, 0] = an;
proToNextstage[i - 1, 1] = pn;
}
string[,] product = new string[9, 2];
product[0, 0] = ArtSite.ScrTest1.ToString();
product[1, 0] = ArtSite.ConTest1.ToString();
product[2, 0] = ArtSite.ScrTest2.ToString();
product[3, 0] = ArtSite.ConTest2.ToString();
product[4, 0] = ArtSite.ScrTest3.ToString();
product[5, 0] = ArtSite.ConTest3.ToString();
product[6, 0] = ArtSite.TieTest1.ToString();
product[7, 0] = ArtSite.TieTest2.ToString();
product[8, 0] = ArtSite.TieTest3.ToString();
double s1, n1, s2, n2;
for (int i = 0; i < 12; i++)
{
MOutputRapidTest rapidout = new MOutputRapidTest(i + 1);
rapidout.HIVAdultsThatDonotFollowup = _adultsThatdonotFollowup;
rapidout.HIVPediatrcisThatDonotFollowup = _pediatrcisThatdonotFollowup;
rapidout.PrevalenceOfAdultTestingPop = _prevalenceofAdultTestingPop;
rapidout.PrevalenceOfPediatricTestingPop = _prevalenceofPediatricTestingPop;
rapidout.AdultsEnteringTreatment = CalculatedPatientNos[i + 1].AdultEnteringARTfromoutsidePreART;
rapidout.AdultsEnteringPreART = CalculatedPatientNos[i + 1].AdultEnteringpreARTeachmonth;
rapidout.PediatricsEnteringTreatment = CalculatedPatientNos[i + 1].PediatricEnteringARTfromoutsidePreART;
rapidout.PediatricsEnteringPreART = CalculatedPatientNos[i + 1].PediatricEnteringpreARTeachmonth;
_rapidTestOutputs.Add(i + 1, rapidout);
s1 = rapidout.TotalAdultsTested * (ArtSite.ScrTest1Percent / 100d); // _totalPositiveToscreen[i, 1] * (ArtSite.ScrTest1Percent / 100d);
n1 = s1 * proToNextstage[0, 0];
s2 = rapidout.TotalPediatricsTested * (ArtSite.ScrTest1Percent / 100d); // _totalPositiveToscreen[i, 2] * (ArtSite.ScrTest1Percent / 100d);
n2 = s2 * proToNextstage[0, 1];
product[0, 1] = (s1 + s2).ToString();
product[1, 1] = (s1 + s2).ToString();
s1 = rapidout.TotalAdultsTested * (ArtSite.ScrTest2Percent / 100d); //_totalPositiveToscreen[i, 1] * (ArtSite.ScrTest2Percent / 100d);
n1 += s1 * proToNextstage[1, 0];
s2 = rapidout.TotalPediatricsTested * (ArtSite.ScrTest2Percent / 100d); //_totalPositiveToscreen[i, 2] * (ArtSite.ScrTest2Percent / 100d);
n2 += s2 * proToNextstage[1, 1];
product[2, 1] = (s1 + s2).ToString();
product[3, 1] = (s1 + s2).ToString();
s1 = rapidout.TotalAdultsTested * (ArtSite.ScrTest3Percent / 100d); //_totalPositiveToscreen[i, 1] * (ArtSite.ScrTest3Percent / 100d);
n1 += s1 * proToNextstage[2, 0];
s2 = rapidout.TotalPediatricsTested * (ArtSite.ScrTest3Percent / 100d); //_totalPositiveToscreen[i, 2] * (ArtSite.ScrTest3Percent / 100d);
n2 += s2 * proToNextstage[2, 1];
product[4, 1] = (s1 + s2).ToString();
product[5, 1] = (s1 + s2).ToString();
product[6, 1] = (n1 + n2).ToString();
product[7, 1] = (n1 + n2).ToString();
product[8, 1] = (n1 + n2).ToString();
_screeningTests[i, 0] = SumByProductId(ArtSite.ScrTest1, product, 0, 5);
_screeningTests[i, 1] = SumByProductId(ArtSite.ScrTest2, product, 0, 5);
_screeningTests[i, 2] = SumByProductId(ArtSite.ScrTest3, product, 0, 5);
_confirmateryTests[i, 0] = SumByProductId(ArtSite.ConTest1, product, 0, 5);
_confirmateryTests[i, 1] = SumByProductId(ArtSite.ConTest2, product, 0, 5);
_confirmateryTests[i, 2] = SumByProductId(ArtSite.ConTest3, product, 0, 5);
_tiebreakerTests[i, 0] = (ArtSite.TieTest1Percent / 100d) * SumByProductId(ArtSite.TieTest1, product, 6, 8);
_tiebreakerTests[i, 1] = (ArtSite.TieTest2Percent / 100d) * SumByProductId(ArtSite.TieTest2, product, 6, 8);
_tiebreakerTests[i, 2] = (ArtSite.TieTest3Percent / 100d) * SumByProductId(ArtSite.TieTest3, product, 6, 8);
}
AdjustRapidTestBufferStock();
}
