MOESM3 of Sample size and power calculations for detecting changes in malaria transmission using antibody seroconversion rate

Additional file 3. Statistical power to detect a change in disease transmission as function of sample size considering the true change point unknown. See Fig. 3 for further details

MOESM2 of A systematic review of sub-microscopic Plasmodium vivax infection

Additional file 1. Studies excluded following evaluation of full text (N = 142) according to the main reason for exclusion

Diversity of simian <i>Plasmodium</i> species in infected <i>An</i>. <i>balabacensis</i> detected using PCR method.

<p>Diversity of simian <i>Plasmodium</i> species in infected <i>An</i>. <i>balabacensis</i> detected using PCR method.</p

<i>Anopheles</i> species caught at Paradason village from October 2013 to December 2014 during a total of 70 human sampling nights.

<p><i>Anopheles</i> species caught at Paradason village from October 2013 to December 2014 during a total of 70 human sampling nights.</p

Phylogenetic tree based on consensus sequences of SSU rRNA showing the relationship between the <i>Plasmodium</i> species in Sabah that were found in monkey, <i>An</i>. <i>balabacensis</i> and human, constructed using neighbor joining method.

<p>The evolutionary distances were computed using the maximum composite likelihood method and all positions containing alignment gaps were eliminated only in the pairwise sequence comparisons. The tree was out grouped with <i>Theileria</i> spp.</p

Consensus sequences of SSU rRNA of <i>P</i>. <i>knowlesi</i> isolated from long-tailed macaque, human and <i>An</i>. <i>balabacensis</i> in Sabah.

<p>The three variable nucleotides in the consensus sequences between the <i>P</i>. <i>knowlesi</i> isolates are shown within the red rectangles.</p

Neighbor-joining phylogenetic tree comparing the SSU rRNA gene sequences in current study (marked with circle) and with known <i>Plasmodium</i> SSU rRNA sequences from the GeneBank data base.

<p>The bar below the tree represents distance scale. The evolutionary distances were computed using the maximum composite likelihood method and all positions containing alignment gaps and missing data were eliminated only in the pairwise sequence comparisons. The tree was replicated with 1000 bootstraps and only values>50% are showed in the tree. The tree was out grouped with <i>Theileria</i> spp. (AF162432).</p

Additional file 3: Figure S1. of Evaluation of electric nets as means to sample mosquito vectors host-seeking on humans and primates

Correlation in catches of anopheline mosquitoes by human landing catch (HLC) and human-baited electrocuting net (HENET). (DOCX 15 kb

Characteristics of membrane feeding assay blood donors and mosquito infections

Model takes raw QT-NASBA data from Schneider et al. 2007 (doi:10.5061/dryad.589ft) and Ouédraogo et al. 2009 (doi:10.5061/dryad.hv01f) and fits a mathematical model to estimate the gametocyte density (gam.median) and 95% Bayesian Credible Intervals (gam.lower, gam.upper). These are combined with blood donor and mosquito characteristics from the membrane feeding assays. Column “Host” denotes host id, “Experiment” gives country (0=Burkina, 1=Kenya), age (0=<7 or 1=>=7 years old) and “asexual.cat” is the asexual parasite density category as measured by microscopy (0=none,1=low,2=high). The point estimate for prevalence of oocysts is given from the model outputs “prev.median” together with 95% Bayesian Credible Intervals (prev.lower, prev.upper). Full details are given in the manuscript

Baseline characteristics and prevalence of malaria infection, anaemia and malaria antibodies by school.

<p>IRS*: Indoor residual spray (data from 4117 respondents) Hb Haemoglobin.</p><p>§ Haemoglobin <11 g/dl SD Standard deviation.</p><p># Data available for 3640 children.</p><p>Baseline characteristics and prevalence of malaria infection, anaemia and malaria antibodies by school.</p