ArticleScientific reports2018
Livestock trade network: potential for disease transmission and implications for risk-based surveillance on the island of Mayotte.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Circulation of avian influenza viruses in migratory birds in Europe and in Africa: a systematic review.Emerging microbes & infections · 2026Pooled it
- Rift Valley Fever at the Crossroads of Ecology Mobility and Fragmented Health Governance.EcoHealth · 2026Review
- Scenario-aware control of multipathway spread processes: Application to biological invasions.PNAS nexus · 2026Article
- The tip of the iceberg: high-risk contacts for hemorrhagic fevers of swine in the Caribbean.Veterinary research · 2026Article
- Development of recombinant proteins for vaccine candidates against serotypes O and A of Foot-and-Mouth Disease virus in Bangladesh.Access microbiology · 2024Article
- Article
- Risk factors associated with Crimean-Congo hemorrhagic fever virus circulation among human, livestock and ticks in Mauritania through a one health retrospective study.BMC infectious diseases · 2023Article
- Network analysis of pig movement data as an epidemiological tool: an Austrian case study.Scientific reports · 2023Article
- Description of the Cattle and Small Ruminants Trade Network in Senegal and Implication for the Surveillance of Animal Diseases.Transboundary and emerging diseases · 2023Article
- Reconstructing Mayotte 2018-19 Rift Valley Fever outbreak in humans by combining serological and surveillance data.Communications medicine · 2022Article
- Most influential countries in the international medical device trade: Network-based analysis.Physica A · 2022Article
- Network Models and Simulation Analytics for Multi-scale Dynamics of Biological Invasions.Frontiers in big data · 2022Article
- Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape.Nature communications · 2021Article
- Transmission Dynamics of African Swine Fever Virus, South Korea, 2019.Emerging infectious diseases · 2021Article
- The role of livestock movements in the spread of Rift Valley fever virus in animals and humans in Mayotte, 2018-19.PLoS neglected tropical diseases · 2021Article
- Fine-scale tracking of wild waterfowl and their impact on highly pathogenic avian influenza outbreaks in the Republic of Korea, 2014-2015.Scientific reports · 2020Article
- Rift Valley Fever Outbreak, Mayotte, France, 2018-2019.Emerging infectious diseases · 2020Article
- Insights into the Host Range, Genetic Diversity, and Geographical Distribution of Jingmenviruses.mSphere · 2019Article
- Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Chikungunya resurgence in the Maldives and risk for importation via tourists to Europe in 2019-2020: A GeoSentinel case series.Travel medicine and infectious diseaseArticle
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9 authors.
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Abstract
The island of Mayotte is a department of France, an outermost region of the European Union located in the Indian Ocean between Madagascar and the coast of Eastern Africa. Due to its close connection to the African mainland and neighbouring islands, the island is under constant threat of introduction of infectious diseases of both human and animal origin. Here, using social network analysis and mathematical modelling, we assessed potential implications of livestock movements between communes in Mayotte for risk-based surveillance. Our analyses showed that communes in the central region of Mayotte acted as a hub in the livestock movement network. The majority of livestock movements occurred between communes in the central region and from communes in the central region to those in the outer region. Also, communes in the central region were more likely to be infected earlier than those in the outer region when the spread of an exotic infectious disease was simulated on the livestock movement network. The findings of this study, therefore, suggest that communes in the central region would play a major role in the spread of infectious diseases via livestock movements, which needs to be considered in the design of risk-based surveillance systems in Mayotte.
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