getTBinR 0.5.4 is now on CRAN and should be available on a mirror near you shortly! This update includes an additional data set for 2016 containing variables related to drug resistant Tuberculosis, some aesthetic updates to mapping functionality and a new summarise_tb_burden function for summarising TB metrics. Behind the scenes there has been an extensive test overhaul, with vdiffr being used to test images, and several bugs fixes. See below for a full list of changes and some example code exploring the new functionality.
Introduction I recently attended the Public Health Research and Science Conference, run by Public Health England (PHE), at the University of Warwick. I was mainly there to present some work that I have been doing (along with my co-authors) estimating the direct effects of the 2005 change in BCG vaccination policy on Tuberculosis (TB) incidence rates (slides) but it was also a great opportunity to see what research is being done within, and partnered with, PHE.
This is a quick post exploring estimates of the case fatality ratio for Tuberculosis (TB) from data published by the World Health Organisation (WHO). It makes use of getTBinR (which is now on CRAN), pacman for package management, hrbrthemes for plot themes, and pathwork for combining multiple plots into a storyboard. For an introduction to using getTBinR to explore the WHO TB data see this post.
It is estimated that in 2016 there was more than 10 million cases of active TB, with 1.
In November I attended Epidemics, which is a conference focused on modelling infectious diseases. There was a lot of great work and perhaps most excitingly a lot of work being offered as R packages.
I’ve recently begun wrapping all my analytical work in R packages, as it makes producing reproducible research a breeze! Unfortunately all of this work is still making it’s way towards publication and for a variety of reasons can’t be shared until it has passed this hurdle.
This interactive dashboard uses data on Tuberculosis incidence from 1913-1916 released by Public Health England and combines it with data on the interventions against Tuberculosis that have been discovered/implemented over the last century. The data was cleaned and imported into R using the tbinenglanddataclean R package, which also contains information on how to apply for additional data, scripts to clean data extracts and graphing functions to visualise them. The dashboard is a work in progress and additional interventions, new figures and increased interactivity will be added over time.
Previously I have looked at visualising the Property Partner portfolio using tableau, and explored their resale date from July 2017. In this post I will be exploring the August Open House resale data focussing on property premiums over both initial and latest valuation. The code for this post is available here.
Property Partner advertises returns by combining both projected capital and rental returns. Properties are held for 5 years at which point any capital gain can be realised.
As peer to peer lending matures platforms have begun to have increasingly divergent stances on sharing their data, making it increasingly important that their is external pressure on them to improve their data sharing. This blog series will focus on platforms sharing their data, exploring what their data is saying and suggesting possible changes to their releases that would make it easier for investors to gain insights on their own.
The Pebble Game is a shiny application that simulates a simple game which has been designed to reflect real world epidemics and the vaccination programmes used to control them. It involves repeatedly drawing pebbles from a bag, which contains two distinct pebble types (to represent vaccinated and unvaccinated individuals). The number of pebbles that are drawn each round is dependent on the number of infect-able (i.e unvaccinated) cases drawn in the previous round, and the infectiousness of the simulated disease.
How are a 10,000-year-old disease, the scar on your arm (if you are over 25 and born in the UK), and the mathematics you learnt at school related? If you are under 25, where is your scar? My research uses mathematics to understand the role of Bacillus Calmette–Guérin (BCG) vaccine in preventing Tuberculosis (TB) in England and forecast the impact of current policies. TB is one of the oldest human diseases, with recorded cases in ancient Egypt, renaissance Europe, and in the modern day across the globe.
As a quick update to last weeks post this week we will be using the estimates of bad debt from last week to assess the true risk/rewards of loans at various lengths from the funding circle (FC) loan book. I realised recently that when picking loans my default criteria tends towards picking loans with the lowest percieved risk (i.e lowest risk band) with the highest interest rates possible. This strategy has some interesting consequences in that it preferentially selects long term loans that tend to have higher rates.