Reproducible R code for a systematic review and meta-analysis of anthrax model performance and human behavioural risk factors in Africa [Dataset]

[EN]A self-contained R Markdown document that reproduces the quantitative synthesis of a systematic review of quantitative anthrax (Bacillus anthracis) research in Africa. It performs random-effects (DerSimonian-Laird) meta-analyses of ecological niche / species distribution model discrimination (AU...

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Detalles Bibliográficos
Autor: Dolcet-Negre, Marta M.
Tipo de recurso: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:dnet:gredos______::eaff88f22891b91ab1c83f7bb02eaeb0
Acceso en línea:http://hdl.handle.net/10366/171704
Access Level:acceso abierto
Palabra clave:meta-analysis
systematic review
random-effects model
DerSimonian-Laird
AUC
ecological niche model
species distribution model
odds ratio
heterogeneity
publication bias
R
reproducible research
anthrax
Bacillus anthracis
Africa
Meta-Analysis as Topic
Anthrax
1209 Estadística
3202.05 Epidemiología
carbunco
metanálisis como asunto
Descripción
Sumario:[EN]A self-contained R Markdown document that reproduces the quantitative synthesis of a systematic review of quantitative anthrax (Bacillus anthracis) research in Africa. It performs random-effects (DerSimonian-Laird) meta-analyses of ecological niche / species distribution model discrimination (AUC, pooled on the logit scale and back-transformed) and of adjusted odds ratios for human behavioural risk factors (pooled on the log scale), with heterogeneity (Cochran's Q, I^2, tau^2, prediction intervals), pre-specified subgroup analyses, meta-regression, sensitivity analyses and publication-bias assessment (funnel plots, Egger's test, trim-and-fill), and generates all associated figures and tables. The 33 study-level records and the behavioural odds ratios are embedded in the document, so the analysis runs from the deposited files alone. Developed for, and illustrated with, a systematic review and meta-analysis of quantitative anthrax research in Africa, and reusable as a template for other meta-analyses of model performance and observational effect sizes.