Recent Publications

More Publications

  • Improving disaggregation models of malaria incidence by ensembling non-linear models of prevalence

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  • Timescales of variation in diversity and production of bacterioplankton assemblages in the {Lower} {Mississippi} {River}

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  • To screen or not to screen: an interactive framework for comparing costs of mass malaria treatment interventions

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  • Characterizing local-scale heterogeneity of malaria risk: a case study in {Bunkpurugu}-{Yunyoo} district in northern {Ghana}

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  • Rapid prototyping of decision-support tools for conservation

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  • Detecting local risk factors for residual malaria in northern {Ghana} using {Bayesian} model averaging

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  • Patterns of variation in diversity of the {Mississippi} river microbiome over 1,300 kilometers

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  • Spatial heterogeneity can undermine the effectiveness of country-wide test and treat policy for malaria: a case study from {Burkina} {Faso}

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  • Bias in logistic regression due to imperfect diagnostic test results and practical correction approaches

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  • Particle-associated and cell-free extracellular enzyme activity in relation to nutrient status of large tributaries of the {Lower} {Mississippi} {River}

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Recent Posts

Here are some links for my poster presentation at ASTMH 2017:

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Seeing if I can embed this Shiny app using iframe: Seems to have worked! Unfortnately the sidebar and main panels seem to stack regardless of the width, still looking for a solution for this. Maybe there is a way to scale iframes? If you’re interested, here is the code for creating the app: # Shiny app for cost tool graph library(shiny) library(tidyverse) library(plotly) # Define UI for application that draws a histogram ui <- fluidPage( # Application title titlePanel("Comparison of presumptive treatments and test-than-treat across prevalences"), # Sidebar with a slider input for number of bins sidebarLayout( sidebarPanel( sliderInput("sn", "RDT Sensitivity", min = 0, max = 1, step = 0.

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Sample R code black:

library(ggplot2)

centre <- function(x, type, ...) {
  switch(type,
         mean = mean(x),
         median = median(x),
         trimmed = mean(x, trim = .1))
}

var <- NULL

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Sample code block from testing syntax highlighting:

# hello world

you can write text [with links](http://example.com) inline or [link references][1].

* one _thing_ has *em*phasis
* two __things__ are **bold**

[1]: http://example.com

---

hello world
===========

<this_is inline="xml"></this_is>

> markdown is so cool

    so are code segments

1. one thing (yeah!)
2. two thing `i can write code`, and `more` wipee!

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This is a presentation that I gave at the UF R Meetups focused on getting started in R and RStudio. This was largely adapted R lesson from Data Carpentry.

link to pdf

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