%0 DATA
%A Karen, Kerkhof
%A Vincent, Sluydts
%A Laura, Willen
%A Saorin, Kim
%A Lydie, Canier
%A Somony, Heng
%A Takafumi, Tsuboi
%A Tho, Sochantha
%A Siv, Sovannaroth
%A Didier, Ménard
%A Marc, Coosemans
%A Lies, Durnez
%D 2016
%T MOESM5 of Serological markers to measure recent changes in malaria at population level in Cambodia
%U https://springernature.figshare.com/articles/figure/MOESM5_of_Serological_markers_to_measure_recent_changes_in_malaria_at_population_level_in_Cambodia/4472738
%R 10.6084/m9.figshare.c.3645668_D5.v1
%2 https://springernature.figshare.com/ndownloader/files/7202639
%K Malaria
%K Serological markers
%K Malaria transmission
%K Half life
%X Additional file 5. Example of a histogram in which the MFI values are plotted against different age categories. Given the trend between the various ages it has been observed that this might be an important factor that has to be taken into account. The boxplots represent the medians, interquartile ranges and error bars (95% confidence intervals) per age. Circles represent outlier values. In the first plot is performed on all 8,654 samples, while the second plot has been performed on only the PCR positive samples. Looking at the trend it is clear that the MFI increase according to the age. Samples above the age of 50 show variation in MFI levels and were therefore removed from the analysis. Therefore age groups from 2–5, 6–15 and 16–50 years are chosen.