10 research outputs found
Multivariate predictors of malarial infection at double bleed time points diagnosed by light microscopy.
<p>GEE-model based estimates with semi-robust confidence intervals.</p><p>OR: Odds ratio. CI<sub>95</sub>: 95% confidence intervals</p>1<p>Comparison level: Iliata 1. <sup>2</sup> Comparison level: January. <sup>3</sup> Average bed net usage as continuous variable. <sup>4</sup>Per g/dl increase.</p
Age dependence of risk of malarial illness: Effect of age at start of 8/9 weeks follow-up period on incidence of malarial illness with different parasite cut-offs.
<p>GEE model based estimates and semi-robust standard errors for age categories. Fitted lines: best fitting 1<sup>st</sup>, 2<sup>nd</sup> or 3<sup>rd</sup> degree polynomials of age as continuous variable.</p
Association of personal bed net use on risk of malarial infections and disease.
<p>Closes circles: univariate estimates, open triangle: adjusted for age and time trends, closed diamonds: age, time and village adjusted, open squares: estimates from best fitting model (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0009047#pone-0009047-t001" target="_blank">Table 1</a> & <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0009047#pone-0009047-t002" target="_blank">2</a>). All estimates from GEE model with semi-robust standard errors.</p
Prevalence of malaria at regular cross-sectional surveys: A) first samples only, B) double bleed samples 24 hrs apart, C) study retention profile.
<p>Prevalence of malaria at regular cross-sectional surveys: A) first samples only, B) double bleed samples 24 hrs apart, C) study retention profile.</p
Multivariate predictors of malarial infection at double bleed time points as diagnosed by post-PCR LDR-FMA assay.
<p>GEE-model based estimates with semi-robust confidence intervals.</p><p>OR: Odds ratio. CI<sub>95</sub>: 95% confidence intervals</p>1<p>Comparison level: Iliata 1. <sup>2</sup> Comparison level: January. <sup>3</sup> Average bed net usage as continuous variable. <sup>4</sup>Per g/dl increase</p
Incidence of <i>P. falciparum</i> and <i>P. vivax</i> clinical episodes with different parasitaemia threshold for individual 8/9 weekly intervals.
<p>Incidence of <i>P. falciparum</i> and <i>P. vivax</i> clinical episodes with different parasitaemia threshold for individual 8/9 weekly intervals.</p
Multivariate predictors of incidence of infections in 8 × 8/9 weeks intervals: <i>P. vivax</i> and <i>P. malariae</i> episodes of different parasite density.
<p>GEE-model based estimates with semi-robust confidence intervals.</p><p>IRR: Incidence rate ratio. CI<sub>95</sub>: 95% confidence intervals</p>1<p>Comparison level: Iliata 1. <sup>2</sup> Comparison level: January. <sup>3</sup> Average bed net usage as continuous variable. <sup>4</sup>Per g/dl increase.</p
Age dependence of risk of malarial infections: age-prevalence at 7 cross-sectional survey time points with 2 consecutive bleeds 24 hrs apart.
<p>GEE model based estimates and semi-robust standard errors for age categories. Fitted lines: best fitting 1<sup>st</sup>, 2<sup>nd</sup> or 3<sup>rd</sup> degree polynomials of age as continuous variable.</p
Multivariate predictors of incidence of infections in 8 × 8/9 weeks intervals: All and <i>P. falciparum</i> episodes of different parasite density.
<p>GEE-model based estimates with semi-robust confidence intervals.</p><p>IRR: Incidence rate ratio. CI<sub>95</sub>: 95% confidence intervals</p>1<p>Comparison level: Iliata 1. <sup>2</sup> Comparison level: January. <sup>3</sup> Average bed net usage as continuous variable. <sup>4</sup>Per g/dl increase.</p
Schematic map of study area including participants' house (dots), health centres (crosses), roads (black lines) and rivers/streams (blue lines).
<p>Schematic map of study area including participants' house (dots), health centres (crosses), roads (black lines) and rivers/streams (blue lines).</p