Mapping the prevalence of household-scale livestock ownership by animal taxon in low- and middle-income countries

Animal husbandry is widely practiced on the household scale in communities in low- and middle-income countries (LMICs) and, while having economic and health benefits, exposes household members to risk of zoonotic infections to an extent that is unclear. While demand for georeferenced information on infectious disease risk factors and drivers is growing, spatial variation in livestock ownership remains poorly characterized at high resolution. This study aimed to use geostatistical methods to model and map the prevalence of livestock husbandry in LMICs for three major animal taxa: poultry, swine, and ruminants. Microdata relating to ownership of livestock animal species were sourced from various population-based survey programs, which together cover the majority of LMICs, and categorized. These were georeferenced and spatially matched with a panel of time-fixed environmental and demographic spatial covariates. INLA models were fitted to the resulting database, and probabilities for owners..., , # Mapping the prevalence of household-scale livestock ownership by animal taxon in low- and middle-income countries

Dataset DOI: [10.5061/dryad.n2z34tnb3](https://doi.org/10.5061/dryad.n2z34tnb3)

## Summary of analysis underlying this dataset

Full background, methods, results, and discussion can be found in this preprint article: [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5490726](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5490726)

## Description of file structure and contents

The resulting model outputs are made available in the DRYAD repository as 6 GeoTIFF files. For each of the three livestock taxon outcomes - poultry, swine, and ruminants - there is a file containing the predicted prevalence values and a second containing the standard error of those predictions at all locations in eligible countries at a 5-decimal-degree resolution. Each GeoTIFF contains a single band corresponding to the variable value.

## Definitions of variables and units:

The definitio..., The human subject data used in this analysis were collected and owned by third parties, not by the authors. They are all publicly available and can be accessed from the following sources in the same manner that the authors accessed them: - Demographic and Health Surveys, Malaria Indicator Surveys, and AIDS Indicator Surveys - https://dhsprogram.com/ - Multiple Indicator Cluster Surveys - https://mics.unicef.org/surveys - Botswana Family Health Survey - https://microdata.statsbots.org.bw/index.php/catalog/9 - Encuesta Nicaragüense de Demografía y Salud - https://www.inide.gob.ni/Home/endesa - Encuesta Nacional de Salud y Nutrición - https://www.salud.gob.ec/encuesta-nacional-de-salud-y-nutricion-ensanut/ - Pesquisa Nacional de Demografia e Saúde da Criança e da Mulher - https://bvsms.saude.gov.br/bvs/pnds/ The data on the covariate predictors are available from the sources cited in Table 2. The authors do not have the right to share these datasets, but did not have any special access pri...