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Table 1 Comparison of the Differentiated Scenario A models

From: Combining different diagnostic studies of lymphatic filariasis for risk mapping in Papua New Guinea: a predictive model from microfilaraemia and antigenaemia prevalence surveys

Scenario A Model functions Pre-MDA MDA interaction Post-MDA
RSE AIC RSE AIC
1 y = a(1 − ebx) 0.1187 − 65.86 δ 0.1789 − 6.69
N 0.1991 − 3.27
2 y = a − becx 0.1192 − 64.49 δ 0.1603 − 10.20
N 0.1885 − 5.03
3 y = aeb/x 0.1218 − 63.30 δ 0.2036 − 2.56
N 0.2198 − 0.11
4 y = axb 0.1209 − 64.04 δ 0.1400 − 14.53
N 0.2024 − 2.74
  1. 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 post-MDA conditions, suggesting the best-fit models