Article

Estimating The Distribution of Livestock In Space And Time: A Time-Series Contribution To Livestock Density Mapping

2022-01-13

Abstract excerpt

More than one billion people rely on livestock for income, nutrition, and social cohesion, however livestock keeping can facilitate disease transmission and contribute to climate change. While data on the distribution of livestock thus have broad utility across a range of applications, efforts to map the distribution of livestock on a large scale are limited to the Gridded Livestock of the World (GLW) project. We...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ac639051-bc77-51e5-a2dc-440b99f64923
DOI: 10.21203/rs.3.rs-1239248/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Estimating The Distribution of Livestock In Space And Time: A Time-Series Contribution To Livestock Density MappingDOI 10.21203/rs.3.rs-1239248/v1Read

Estimating the distribution of livestock in space and time: a time-series contribution to livestock density mappingSemantic proximity Read

Inferring livestock movement networks from archived data to support infectious disease control in developing countriesSemantic proximity Read

Quantifying Disease Burden in Low-Resource Settings: Statistical Insights and Approaches with Model-Based Geostatistical ModelingSemantic proximity Read

An estimation of cattle movement parameters in the Central States of the USSemantic proximity Read

Ecological and Anthropogenic Spatial Gradients Shape Patterns of Dispersal of Foot-and-Mouth Disease Virus in UgandaSemantic proximity Read

Spatial distribution of poultry farms using point pattern modelling: a method to address livestock environmental impacts and disease transmission risksSemantic proximity Read

Livestock market data for modeling disease spread among US cattleSemantic proximity Read

Geostatistical mapping of transboundary cattle disease risks in EthiopiaSemantic proximity Read

Modelling to infer the role of animals in <i>gambiense</i> human African trypanosomiasis transmission and elimination in DRCSemantic proximity Read

Livestock Movement Informs the Risk of Disease Spread in Traditional Production Systems in East AfricaSemantic proximity Read

Climate-driven rodent infection dynamics align with Lassa fever seasonality in humansSemantic proximity Read

Scaling Lassa Virus Dynamics within Anthropogenic Ecosystems (SCAPES) study: a mixed-methods observational cohort study of humans, rodents, and landscapes in NigeriaSemantic proximity Read