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Table 1 Fitted relationships between infection age and quantities of interest

From: Infection age as a predictor of epidemiological metrics for malaria

Quantity of interest

Fitted equation of Kernel

Patent Fraction, D(\(\alpha\))

\({\left\{ \begin{array}{ll} 1 &{} \text {if}\ \alpha \le 6 \\ 1.12 - .02 \ \alpha &{} \text {if}\ 6 < \alpha \le 18 \\ \left( 1+e^{-1.52+0.0151 \alpha }\right) ^{-1} &{} \text {if}\ \alpha >18 \end{array}\right. }\)

\(\log _{10}\) Asexual parasitaemia, P(\(\alpha\))

\({\left\{ \begin{array}{ll} 0, &{} \text {if}\ \alpha \le 0 \\ 3.10 + .278 \ \alpha , &{} \text {if}\ 0< \alpha \le 6 \\ 5.12 - .0743 \ \alpha , &{} \text {if}\ 6 < \alpha \le 18 \\ 3.85 - .00843 \ \alpha , &{} \text {if}\ \alpha >18 \end{array}\right. }\)

Fever Probability, F(P(\(\alpha\)))

\(\frac{.859 e^{3.45 P(\alpha )}}{58200 + e^{3.45 P(\alpha )}}\)

\(\log _{10}\) gametocytaemia, G(\(L_9 P(\alpha )\))

\(-0.684+.892L_9 P(\alpha ), L_9 P(\alpha ) = P(\alpha -9)\)

Transmission Efficiency, c(G(\(\alpha\)))

\(\frac{.683 e^{2.14 G(\alpha )}}{131 + e^{2.14 G(\alpha )}}\)

  1. Patent fraction consisted of two piecewise-linear fits and a generalized linear fit at each of the transitions mentioned in the text. Log parasitaemia likewise is piecewise linear. Fever probability and transmission efficiency are logistic functions of their predictors, which are linear functions of infection age