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Table 1 Comparison of estimates of seroconversion rate (SCR) and duration of seropositivity to MSP1 19 using catalytic and superinfection models fitted to data from 12 villages/sites in Tanzania

From: A mathematical model of seropositivity to malaria antigen, allowing seropositivity to be prolonged by exposure

Villages Altitude (meters) § Catalytic model[5](1) § Superinfection model (2) ((2) – (1))*100 / (1) % change in Std. Err. Predicted EIR[18]
   SCR (Std. Err.) SCR (Std. Err.) % change in SCR   
Mgila 375 0.1228 (0.0139) 0.1451 (0.0116) 18 -17 39.1002
Kadando 528 0.0959 (0.0104) 0.1097 (0.0098) 14 -6 16.3467
Kambi ya Simba 746 0.0753 (0.0067) 0.0857 (0.0073) 14 6 4.7182
Ngulu 832 0.0869 (0.0077) 0.0980 (0.0080) 13 4 2.8899
Tamota 1055 0.0574 (0.0061) 0.0726 (0.0066) 26 8 0.8107
Goha 1163 0.0239 (0.0028) 0.0306 (0.0034) 28 24 0.438
Lambo 1188 0.0099 (0.0017) 0.0123 (0.0021) 25 24 0.3799
Funta 1240 0.1033 (0.0108) 0.1197 (0.0101) 16 -7 0.2824
Mpinji 1445 0.0065 (0.0012) 0.0083 (0.0015) 27 29 0.0878
Kilomeni 1556 0.0046 (0.0010) 0.0058 (0.0013) 27 27 0.0466
Kwadoe 1564 0.0071 (0.0015) 0.0092 (0.0019) 29 29 0.0445
Bwambo 1598 0.0041 (0.0009) 0.0054 (0.0012) 31 30 0.0367
Average    22   
Reversion rate 0.0139 (0.0029) 0.0426 (0.0062)    
Duration in years 72 23    
  1. § The models were estimated using Stata software’s ml command; Standard errors were approximated to 4 decimal places but actual values were used in calculating the % change.