Table 6 Data variables, dependent parameters and independent parameters of model for delayed mortality and delayed killing effect
Symbol | Description | Unit | Prior |
|---|---|---|---|
k | Index for night, \(k \in \{1,\ldots ,16\}\) | Integer | Â |
\(y_{k}\) | Number of mosquitoes caught by HLC over all HLC periods in night k | Integer | Â |
\(z_{k}\) | Number of mosquitoes caught by HLC over all HLC periods in night k and dead 12 h after the end of the semi-field experiment | Integer | Â |
y | Collection of \(y_{k}\) over all nights | Integer array | Â |
z | Collection of \(z_{k}\) over all nights | Integer array | Â |
\(p_{k}\) | Probability of a mosquito that is caught by HLC in night k to be dead 12 h after the end of the semi-field experiment | Probability | Â |
\(q_{k}\) | Probability of a mosquito that is caught by HLC in night k to be alive 12 h after the end of the semi-field experiment | Probability | Â |
p | Mean of \(p_{k}[\text {C}]\) | Probability | Â |
r | Mean of \(\text {logit}(p_{k}[\text {C}])\) | Real | \(\text {Logistic}(0,1)\) |
\(\sigma _{r}\) | Standard deviation of \(\text {logit}(p_{k}[\text {C}])\) | Positive real | \(\text {Half-Cauchy}(0,1)\) |
\(\omega _{k}\) | Normalised deviation of \(\text {logit}(p_{k}[\text {C}])\) from r | \(\text{Real}\) | \({\mathcal {N}}(0,1)\) |
\(\xi\) | Postprandial killing effect | Real \(\in (-\infty , 1]\) | \(\text {Uniform}(0, 1)\) |