ArticleScientific reports2023
Local and wide-scale livestock movement networks inform disease control strategies in East Africa.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Disease control during livestock movement among smallholder farming actors in Kisumu West Sub-County, Kenya.Veterinary and animal science · 2026Article
- Challenges and sustainable solutions in multispecies extensive livestock production systems across India's agroclimatic zones.Tropical animal health and production · 2026Review
- Social, economic, and transboundary importance of foot and mouth disease quarantines in East Africa.Journal of rural studies · 2026Article
- Risk of exotic disease introduction and propagation in the Austrian swine trade network.iScience · 2026Article
- Bovine brucellosis seropositivity in Mpumalanga Province, South Africa, 2021-2024: Temporal, and spatial trends.PloS one · 2026Article
- From Global to Local: A Multiscale Geographically Weighted Regression Analysis of Bovine Brucellosis Risk Factors.Transboundary and emerging diseases · 2026Article
- Molecular characterisation of tick-borne pathogens in cattle in kenya: insights from blood, ticks, and skin swab analyses.BMC veterinary research · 2025Article
- Assessing the risk of diseases with epidemic and pandemic potential in a changing world.Science advances · 2025Article
- Tracing the spread and phylogeography of foot-and-mouth disease virus across East and the Horn of Africa.Virus evolution · 2025Article
- Network Analysis of Small Ruminant Movements in Uganda: Implications for Control of Transboundary Animal Diseases.Transboundary and emerging diseases · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
Abstract
Livestock mobility exacerbates infectious disease risks across sub-Saharan Africa, but enables critical access to grazing and water resources, and trade. Identifying locations of high livestock traffic offers opportunities for targeted control. We focus on Tanzanian agropastoral and pastoral communities that account respectively for over 75% and 15% of livestock husbandry in eastern Africa. We construct networks of livestock connectivity based on participatory mapping data on herd movements reported by village livestock keepers as well as data from trading points to understand how seasonal availability of resources, land-use and trade influence the movements of livestock. In communities that practise agropastoralism, inter- and intra-village connectivity through communal livestock resources (e.g. pasture and water) was 1.9 times higher in the dry compared to the wet season suggesting greater livestock traffic and increased contact probability. In contrast, livestock from pastoral communities were 1.6 times more connected at communal locations during the wet season when they also tended to move farther (by 3 km compared to the dry season). Trade-linked movements were twice more likely from rural to urban locations. Urban locations were central to all networks, particularly those with potentially high onward movements, for example to abattoirs, livestock holding grounds, or other markets, including beyond national boundaries. We demonstrate how livestock movement information can be used to devise strategic interventions that target critical livestock aggregation points (i.e. locations of high centrality values) and times (i.e. prior to and after the wet season in pastoral and agropastoral areas, respectively). Such targeted interventions are a cost-effective approach to limit infection without restricting livestock mobility critical to sustainable livelihoods.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.