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Table 4 The parameters and their ranges for the deterministic simulations

From: Modelling new insecticide-treated bed nets for malaria-vector control: how to strategically manage resistance?

Parameter

 

Definition

Range

Population size

 

starting population size and carrying capacity

102–109

Intrinsic birth rate

 

% population growth rate (in logistic model)

0–NA

Adult death rate

 

% breeding mosquitoes that die into next generation

0–1

Exposure

Female

% female mosquitoes that receive a dose

0–1

Male

% male mosquitoes that receive a dose

0–1

Insecticide effectiveness

Insecticide 1

% dosed mosquitoes that die from insecticide 1

0–1

Insecticide 2

% dosed mosquitoes that die from insecticide 2

0–1

Initial frequency

Allele A

starting frequency of allele A

10–9–10–2

Allele B

starting frequency of allele B

10–9–10–2

Resistance restoration

Allele A

% return to baseline fitness with resistance allele A

0–1

Allele B

% return to baseline fitness with resistance allele B

0–1

Dominance of resistance restoration

Allele A

% resistance restoration in heterozygote with allele A

0–1

Allele B

% resistance restoration in heterozygote with allele B

0–1

Resistance cost

Allele A

% non-dosed mosquitoes that die from carrying allele A

10–3–10−½

Allele B

% non-dosed mosquitoes that die from carrying allele B

10–3–10−½

Dominance of resistance cost

Allele A

% resistance cost in heterozygote with allele A

0–1

Allele B

% resistance cost in heterozygote with allele B

0–1

  1. Where possible, parameters are randomly sampled across their full range, but some parameters are better suited to a log-scale (population size, initial frequency and resistance cost) and one parameter has no meaningful upper limit (intrinsic birth rate) so a standard log-normal distribution is used (with mean = 0 and sd = 1). Initial frequency is limited to be within the range 1/N to N/100 where N is population size