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Table 3 Three criteria to select the most promising antigens

From: Serological markers to measure recent changes in malaria at population level in Cambodia

  Antigens Ags selection based on the three criteria
PCR+ vs PCR valuesa Half-lives (PCR+)b Differences in interceptc Sensitivity by endemicityd
P. falciparum CSP + + + +
Pf13 + + +
STARP.R ++ + + +
SALSA2 + ++ + +
SR11.1 + + + +
LSA1.41 ++ + ++
LSA1.J + + + ±
LSA3.RE ++ ++ ++ ++
Pf.MSP1.19 +
GLURP ++ ++ ++ ++
Pf.GLURP.R2 ++ ++ ++ ++
P. vivax PvVK210.CSP ±
PvVK247.CSP ±
PvCSP
PvAMA1 ±
PvEBP ++ ++ ++
PvDBP
Pv.MSP1.19
Vectors SALIV1
SALIV2 +
  1. Three criteria are used to select the most promising Ags for recent malaria infection. These criteria are based on: (1) the outcome of the estimated Ab-responses based on the differences in ln(MFI) between PCR positive and PCR negative individuals, (2) the assessed half-lives with the best Ab-responses of <7.5 months followed by Ab-responses between 8.5 months until 1 year and finally (3) the sensitivity to the level of malaria endemicity in communities
  2. aDifference in ln(MFI) (ln-MFI PCR+ −ln-MFI PCR−); ++ (value > 1), + (value > 0.5),−(value < 0.5)
  3. bHalf-lives estimated via linear regression models; ++ (half-life < 7.5 months), + (half-life between 8.5 months–1 year),− (half-life > 1 year)
  4. cDifference in intercept between PCR+ and PCR− for half-life estimation; ++ (intercept difference > 2), + (intercept difference between 1 and 2), − (intercept difference < 1)
  5. dSensitivity by endemicity estimated via linear regression models; ++ (IRR of PCR prev. decline with > 0.2, IRR increase by age with >4), + (IRR of PCR prev. decline with >0.1, IRR increase by age with >1)