Git Product home page Git Product logo

blantyretbepi's Introduction

BlantyreTBEpi

This package contains data and code to replicate the analysis of the manuscript:

"Disparities in access to diagnosis and care in Blantyre, Malawi identified through enhanced citywide tuberculosis surveillance and spatial analysis"

Authors: Peter MacPherson PhD1,2, McEwen Khundi MSc1, Marriott Nliwasa MBBS3, Augustine T Choko MSc1,4, Vincent K Phiri BSc1, Emily L Webb PhD4, James Mpunga5, Peter J Dodd PhD6, Ted Cohen DPH7, Rebecca Harris1,4, Elizabeth L Corbett F. Med Sci1,4

Affiliations:

  1. TB/HIV Group, Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
  2. Department of Clinical Sciences, Liverpool School of Tropical Medicine, UK
  3. Helse-Nord TB Programme, College of Medicine, University of Malawi, Malawi
  4. MRC Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, UK
  5. National TB Programme, Lilongwe, Malawi
  6. School of Health and Related Research, University of Sheffield, UK
  7. Yale School of Public Health, Yale University, USA

Installation

You can install the package from GitHub with:

# install.packages("devtools")
devtools::install_github("petermacp/BlantyreTBEpi")
library(BlantyreTBEpi)

Replicable code

The script BlantyreTBEpi_analysis.rmd should be opened, and can be knitted using the rmarkdown package, or the knit button in RStudio to produce an .html output copy of analysis included within the manuscript.


Data

Incuded within the package data/ folder are minimially-reproducable datasets that are used in the analysis code.

To load a dataset, run the following command:

# install.packages("devtools")
devtools::install_github("petermacp/BlantyreTBEpi")
library(BlantyreTBEpi)

data("dat", package="BlantyreTBEpi")

The following datasets and variables are included within the data/ folder of the package:

all_cases_sf.rda

Individual-level dataset including records of all 4009 TB cases registered for treatment between 2015 and 2017 and included in this analysis.

  • year: Calendar year in which case registered for TB treatment
  • sex: Sex of TB case (male or female)
  • tbclass: Type of TB (pulmonary TB, or extrapulmonary TB)
  • hivstatus: HIV status of TB case (HIV-positive, HIV-negative, or unknown)
  • smearstatus: Sputum smear status of TB case, done by routine health system (positive, negative, or missing/not done)
  • age: Age (in years) of TB case on date of registration for treatment
  • lab_smear: sputum-smear status of TB case done at research laboratory on enhanced surveillance specimen (positive, scanty positive, negative, or not done/lab issue)
  • lab_xpert: GeneXpert MTB/Rif status of TB case done at research laboratory on enhanced surveillance specimen (positive, negative, or not done/lab issue)
  • lab_culture: MGIT culture status of TB case done at research laboratory on enhanced surveillance specimen (culture positive, culture negative, or not done/lab issue)
  • lab_id: Speciation of MGIT culture done at research laboratory on enhanced surveillance specimen
  • any_micro_confirm: Derived variable: microbiologically-confirmed status of TB case (on the basis of enhanced surveillance samples analysed at the research laboratory)
  • c02hsaid: Unique identifer of community health worker catchment area of residence
  • resident: Derived variable: was TB case a resident of a community health worker catchment area?

clinics.rda

Public and private health centres that register TB cases in Blantyre, and that participated in enhanced TB surveillance activities.

  • Name: TB registration clinic name
  • geometry: Coordinate references for clinics in sfc_POINT format with WGS84 pojection

cluster_cases_sf.rda

A copy of data within the all_cases_sf dataset, but only including the 3723 TB cases who were resident within a community health worker catchment area.


cnrs.rda

Data on population denominators and annual TB case notification rates for each of the 315 community health worker catchment areas.

  • c02hsaid: Unique identifier for community health worker catchment area
  • total: Total number of community health worker catchment area residents ennumerated during census
  • male_adults: Number of male adults resident in each community health worker catchment area during census
  • female_adults: Number of female adults resident in each community health worker catchment area during census
  • children: Number of children (aged 5-14 years) in each community health worker catchment area during census
  • toddlers: Number of toddlers (aged 1-4 years) resident in each community health worker catchment area during census
  • infants: Number of infants (aged <=1 year) resident in each community health worker catchment area during census
  • mean_people_per_hh: Mean number of people per household
  • area: Area of community health worker catchment area in metres square
  • area_skm: Area of community health worker catchment area in kilometres square
  • popdens: Number of people per square kilometre in each community health worker catchment area
  • m_f_adult_ratio: Ratio of adult (15 years or older) males to females in each community health worker catchment area
  • prop_adults: Percentage (0-100%) of residents who were aged 15 years or older
  • year: Calendar year in which TB cases were registered
  • n Number of TB cases registered per year in each community health worker catchment area
  • n_smearpositive: Number of sputum-smear positive TB cases registered per year in each community health worker catchment area
  • n_confirmed: Number of microbiologically-confirmed TB cases registered per year in each community health worker catchment area
  • cnr: All TB case notification rate (per 100,000 residents per year)
  • micro_cnr: Microbiologically-confirmed TB case notification rate (per 100,000 residents per year)
  • geometry: Coordinate references for boundaries of community health worker catchment areas in sfc_MULTIPOLYGON format with WGS84 pojection

dat.rda

Data on population denominators and TB case notification rates over entire study period (2015-2017) for each of the 315 community health worker catchment areas.

  • c02hsaid: Unique identifier for community health worker catchment area
  • total: Total number of community health worker catchment area residents ennumerated during census
  • male_adults: Number of male adults resident in each community health worker catchment area during census
  • female_adults: Number of female adults resident in each community health worker catchment area during census
  • children: Number of children (aged 5-14 years) in each community health worker catchment area during census
  • toddlers: Number of toddlers (aged 1-4 years) resident in each community health worker catchment area during census
  • infants: Number of infants (aged <=1 year) resident in each community health worker catchment area during census
  • mean_people_per_hh: Mean number of people per household
  • area: Area of community health worker catchment area in metres square
  • area_skm: Area of community health worker catchment area in kilometres square
  • popdens: Number of people per square kilometre in each community health worker catchment area
  • m_f_adult_ratio: Ratio of adult (15 years or older) males to females in each community health worker catchment area
  • prop_adults: Percentage (0-100%) of residents who were aged 15 years or older
  • year: Calendar year in which TB cases were registered
  • n Number of TB cases registered per year in each community health worker catchment area
  • n_confirmed: Number of microbiologically-confirmed TB cases registered per year in each community health worker catchment area
  • cnr: All TB case notification rate (per 100,000 residents per year)
  • micro_cnr: Microbiologically-confirmed TB case notification rate (per 100,000 residents per year)
  • geometry: Coordinate references for boundaries of community health worker catchment areas in sfc_MULTIPOLYGON format with WGS84 pojection
  • c02hsaid1 Additional ID for community healthworker catchment area, required for producing k nearest neighbour matrices
  • mwi11povcons200: Percentage of community health worker catchment area living on less than US$2 per day (data from worldpop project: http://www.worldpop.org.uk/data/files/index.php?dataset=171&zip_title=Malawi%201km%20Poverty&action=group))

hsas.rda

Reference table for geometries of 315 community health worker catchment areas in Blantyre.

  • c02hsaid: Unique identifier for community health worker catchment area
  • geometry: Coordinate references for boundaries of community health worker catchment areas in sfc_MULTIPOLYGON format with WGS84 pojection

blantyretbepi's People

Contributors

mcewenkhundi avatar petermacp avatar

Stargazers

 avatar

Watchers

 avatar  avatar

Forkers

mcewenkhundi

blantyretbepi's Issues

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.