Scenario A Model functions

PreMDA

MDA interaction

PostMDA


RSE

AIC

RSE

AIC


1

y = a(1 − e^{−bx})

0.1187

− 65.86

δ

0.1789

− 6.69

N

0.1991

− 3.27

2

y = a − be^{−cx}

0.1192

− 64.49

δ

0.1603

− 10.20

N

0.1885

− 5.03

3

y = ae^{−b/x}

0.1218

− 63.30

δ

0.2036

− 2.56

N

0.2198

− 0.11

4

y = ax^{b}

0.1209

− 64.04

δ

0.1400

− 14.53

N

0.2024

− 2.74

 Differentiated Scenario A models evaluated, with their corresponding RSE and AIC values. The y variable represents the predicted antigen estimates, while x is the Mf prevalence as the independent variable. δ is the presence of MDA while N is the rounds of MDA (acting as indicators). Numbers in bold represent the lowest AIC values for pre and postMDA conditions, suggesting the bestfit models