IDEAS home Printed from https://ideas.repec.org/a/plo/ppat00/1009397.html
   My bibliography  Save this article

Combining viral genetic and animal mobility network data to unravel peste des petits ruminants transmission dynamics in West Africa

Author

Listed:
  • Arnaud Bataille
  • Habib Salami
  • Ismaila Seck
  • Modou Moustapha Lo
  • Aminata Ba
  • Mariame Diop
  • Baba Sall
  • Coumba Faye
  • Mbargou Lo
  • Lanceï Kaba
  • Youssouf Sidime
  • Mohamed Keyra
  • Alpha Oumar Sily Diallo
  • Mamadou Niang
  • Cheick Abou Kounta Sidibe
  • Amadou Sery
  • Martin Dakouo
  • Ahmed Bezeid El Mamy
  • Ahmed Salem El Arbi
  • Yahya Barry
  • Ekaterina Isselmou
  • Habiboullah Habiboullah
  • Abdellahi Salem Lella
  • Baba Doumbia
  • Mohamed Baba Gueya
  • Caroline Coste
  • Cécile Squarzoni Diaw
  • Olivier Kwiatek
  • Geneviève Libeau
  • Andrea Apolloni

Abstract

Peste des Petits Ruminants (PPR) is a deadly viral disease that mainly affects small domestic ruminants. This disease threaten global food security and rural economy but its control is complicated notably because of extensive, poorly monitored animal movements in infected regions. Here we combined the largest PPR virus genetic and animal mobility network data ever collected in a single region to improve our understanding of PPR endemic transmission dynamics in West African countries. Phylogenetic analyses identified the presence of multiple PPRV genetic clades that may be considered as part of different transmission networks evolving in parallel in West Africa. A strong correlation was found between virus genetic distance and network-related distances. Viruses sampled within the same mobility communities are significantly more likely to belong to the same genetic clade. These results provide evidence for the importance of animal mobility in PPR transmission in the region. Some nodes of the network were associated with PPRV sequences belonging to different clades, representing potential “hotspots” for PPR circulation. Our results suggest that combining genetic and mobility network data could help identifying sites that are key for virus entrance and spread in specific areas. Such information could enhance our capacity to develop locally adapted control and surveillance strategies, using among other risk factors, information on animal mobility.Author summary: As animals move so do viruses. The viral disease peste des petits ruminants (PPR) has a major impact on the livelihood of sheep and goat farmers across Africa, Middle-East and Asia. A global PPR eradication campaign is underway, but extensive movements of infected animals impede control efforts in many regions, such as West Africa. Here we show for the first time that PPR virus genetic data can be combined with information on animal mobility to identify routes of PPR circulation in Senegal and neighbouring countries. Such information can be used to design more efficient disease surveillance and control strategies adapted to local livestock farming practices.

Suggested Citation

  • Arnaud Bataille & Habib Salami & Ismaila Seck & Modou Moustapha Lo & Aminata Ba & Mariame Diop & Baba Sall & Coumba Faye & Mbargou Lo & Lanceï Kaba & Youssouf Sidime & Mohamed Keyra & Alpha Oumar Sily, 2021. "Combining viral genetic and animal mobility network data to unravel peste des petits ruminants transmission dynamics in West Africa," PLOS Pathogens, Public Library of Science, vol. 17(3), pages 1-22, March.
  • Handle: RePEc:plo:ppat00:1009397
    DOI: 10.1371/journal.ppat.1009397
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1009397
    Download Restriction: no

    File URL: https://journals.plos.org/plospathogens/article/file?id=10.1371/journal.ppat.1009397&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.ppat.1009397?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Luc Anselin & Xun Li, 2019. "Operational local join count statistics for cluster detection," Journal of Geographical Systems, Springer, vol. 21(2), pages 189-210, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).
    2. Juan Andrés Cabral, 2021. "Understanding unsolved crimes hotspots: a spatial approach," Asociación Argentina de Economía Política: Working Papers 4445, Asociación Argentina de Economía Política.
    3. Camille Laville, 2021. "Keep Off the Grass : Grassland Scarcity and the Security Implications of Cross-Border Transhumance Between Niger and Nigeria," Working Papers hal-03350202, HAL.
    4. Greg Rybarczyk & Richard R. Shaker, 2021. "Predicting Bicycle-on-Board Transit Choice in a University Environment," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    5. Xinyu Shi & Xiaoqing Zhao & Pei Huang & Zexian Gu & Junwei Pu & Shijie Zhou & Guoxun Qu & Qiaoqiao Zhao & Yan Feng & Yanjun Chen & Aimeng Xiang, 2023. "Rural Development under Poverty Governance: The Relationship between Rural Income and Land Use Transformation in Yunnan Province," Land, MDPI, vol. 12(2), pages 1-21, January.
    6. Camille Laville, 2021. "Keep Off the Grass : Grassland Scarcity and the Security Implications of Cross-Border Transhumance Between Niger and Nigeria," CERDI Working papers hal-03350202, HAL.
    7. Alfonso Gallego-Valadés & Francisco Ródenas-Rigla & Jorge Garcés-Ferrer, 2021. "Spatial Distribution of Public Housing and Urban Socio-Spatial Inequalities: An Exploratory Analysis of the Valencia Case," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    8. Luc Anselin, 2019. "Quantile local spatial autocorrelation," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 155-166, August.
    9. Xufeng Cui & Sisi Huang & Cuicui Liu & Tingting Zhou & Ling Shan & Fengyuan Zhang & Min Chen & Fei Li & Walter T. de Vries, 2021. "Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China," Land, MDPI, vol. 10(9), pages 1-15, August.
    10. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:ppat00:1009397. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plospathogens (email available below). General contact details of provider: https://journals.plos.org/plospathogens .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.