94 datasets found
  1. v

    Global exporters importers-export import data of Fmd vaccine

    • volza.com
    csv
    Updated Jan 12, 2025
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    Volza FZ LLC (2025). Global exporters importers-export import data of Fmd vaccine [Dataset]. https://www.volza.com/p/fmd-vaccine/
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    csvAvailable download formats
    Dataset updated
    Jan 12, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of export import value
    Description

    694 Global exporters importers export import shipment records of Fmd vaccine with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  2. f

    Data from: Risk prioritization of pork supply movements during an FMD...

    • datasetcatalog.nlm.nih.gov
    • agdatacommons.nal.usda.gov
    Updated Nov 30, 2023
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    Patterson, Gilbert R.; Sampedro, Fernando; Mohr, Alicia Hofelich; Davies, Peter; Goldsmith, Tim; Lindsay, Thomas A.; Snider, Tim (2023). Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001030581
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    Dataset updated
    Nov 30, 2023
    Authors
    Patterson, Gilbert R.; Sampedro, Fernando; Mohr, Alicia Hofelich; Davies, Peter; Goldsmith, Tim; Lindsay, Thomas A.; Snider, Tim
    Description

    In the event of a Foot and Mouth Disease (FMD) outbreak in the U.S., local, state, and federal authorities will implement a foreign animal disease emergency response plan restricting the pork supply chain movements and likely disrupting the continuity of the swine industry business. To minimize disruptions of the food supply while providing an effective response in an outbreak, it is necessary to ensure eradication strategies and risk management efforts are focused towards the most critical movements; those that are most necessary for business continuity and most likely to contribute to disease spread. This study recruited experts from production, harvest, retail, and allied pork industries to assess 30 common pork supply movements for their industry criticality. Movements spanned five categories: equipment, live animal production, genetics, harvest, and people. Experts were recruited via email to the American Association of Swine Veterinarians (AASV) mailing list and their assessments were collected via an online survey. For each of the thirty movements, experts were asked to rate the risk of FMD spread using a four-point scale, from no or slight risk of disease spread to high risk of disease spread. Then they were asked to estimate the time at which the restriction of each movement during an outbreak would have a significant negative consequence on business (e.g., high likelihood of bankruptcy, negative impact on animal welfare). These two facets of each movement were analyzed to provide an initial guide for prioritization of risk management efforts and resources to be better prepared in the event of a FMD outbreak in the US. The Data.csv file contains the raw survey responses (location information collected by Qualtrics has been removed). Information about the variables and value labels can be found in the DataDictionary.txt file. The data can be read into the Analysis_Code.R file to perform analysis described in the paper and to create a static version of the Movements.html graph. Survey.pdf contains the survey questions with relevant skip and display logic. Resources in this dataset:Resource Title: Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials. File Name: Web Page, url: https://conservancy.umn.edu/handle/11299/181833 Link to dataset in the Data Repository for the University of Minnesota (DRUM). The Data.csv file contains the raw survey responses (location information collected by Qualtrics has been removed). Information about the variables and value labels can be found in the DataDictionary.txt file. The data can be read into the Analysis_Code.R file to perform analysis described in the paper and to create a static version of the Movements.html graph. Survey.pdf contains the survey questions with relevant skip and display logic.

  3. d

    Spatial locations of reported FMD outbreaks

    • search.dataone.org
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Aug 14, 2025
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    Umanga Gunasekera; Moh A. Alkhamis; Sumathy Puvanendiran; Munawar Sultana; Pradeep Kumarawadu; Anwar Hossain; Moumita Das; Jonathan Artz; Andres Perez (2025). Spatial locations of reported FMD outbreaks [Dataset]. http://doi.org/10.5061/dryad.msbcc2g84
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    Dataset updated
    Aug 14, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Umanga Gunasekera; Moh A. Alkhamis; Sumathy Puvanendiran; Munawar Sultana; Pradeep Kumarawadu; Anwar Hossain; Moumita Das; Jonathan Artz; Andres Perez
    Description

    Control of transboundary diseases at a regional level is commended over the country level due to its inherent complexities. The World Organization for Animal Health (WOAH) has established different zones worldwide to control such contagious diseases as foot-and-mouth disease (FMD). Controlling FMD is difficult because of the complicated connection between FMD risk factors and the deficits of surveillance activities in countries. We used an ecological niche model (ENM) that accounts for the under-reporting of outbreaks to determine FMD risk and risk factors in South Asian countries, India, Bangladesh, and Sri Lanka. Centered on known outbreak information, we predicted high-risk areas using similar regional ecological features. Using a multi-algorithm machine-learning ensemble that includes random forest, support vector, and gradient boosting, 15 predictive variables (i.e livestock densities, land cover, and climate), 660 FMD outbreaks from 13 years (2009-2022) in the region including the..., , , # Spatial locations of reported FMD outbreaks

    https://doi.org/10.5061/dryad.msbcc2g84

    Description of the data and file structure

    For this analysis, locations of reported FMD outbreak data were obtained from India, Bangladesh, and Sri Lanka from 2009 to 2022. An outbreak was defined as a group of epidemiologically linked cases (WOAH, Terrestrial code) during the considered period. For Bangladesh, the outbreak data were collected from the district animal health officers and the local farmers. Laboratory-confirmed outbreaks were reported at the Upazilla level from 32 districts. For Sri Lanka, officially reported outbreak data were available from the Department of Animal Health, Sri Lanka. Outbreaks were reported at the veterinary range level; 369 outbreaks were reported during the period. From a previous study, FMD outbreak data for India (n=429) were available at the district level. To lower the training error of the model, duplicate occurr...,

  4. FMD Risk Factor consolidated data

    • figshare.com
    xlsx
    Updated Feb 2, 2022
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    Jean Claude Udahemuka; gabriel aboge; George Obiero; phiyani Lebea; Joshua Onono; Massimo Paone (2022). FMD Risk Factor consolidated data [Dataset]. http://doi.org/10.6084/m9.figshare.12756134.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 2, 2022
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Jean Claude Udahemuka; gabriel aboge; George Obiero; phiyani Lebea; Joshua Onono; Massimo Paone
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is a tabulation of FMD risk factors data from Eastern Rwanda

  5. s

    Fmd Import Data of Fameccanica Data Spa Exporter to USA

    • seair.co.in
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    Seair Exim Solutions, Fmd Import Data of Fameccanica Data Spa Exporter to USA [Dataset]. https://www.seair.co.in/us-import/product-fmd/e-fameccanica-data-spa.aspx
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    .text/.csv/.xml/.xls/.binAvailable download formats
    Dataset authored and provided by
    Seair Exim Solutions
    Area covered
    United States
    Description

    View details of Fmd Import Data of Fameccanica Data Spa Supplier to US with product description, price, date, quantity, major us ports, countries and more.

  6. D

    FMD Pharma Serialization Label Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). FMD Pharma Serialization Label Market Research Report 2033 [Dataset]. https://dataintelo.com/report/fmd-pharma-serialization-label-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    FMD Pharma Serialization Label Market Outlook



    According to our latest research, the FMD Pharma Serialization Label market size reached USD 3.1 billion in 2024 globally, reflecting robust expansion fueled by tightening regulatory requirements and the global push for pharmaceutical supply chain security. The market is set to advance at a CAGR of 8.6% from 2025 to 2033, with a forecasted value of USD 6.5 billion by 2033. This growth trajectory is primarily driven by the increasing adoption of serialization technologies to comply with the EU Falsified Medicines Directive (FMD), as well as similar mandates in other regions, ensuring drug traceability, authenticity, and patient safety.




    One of the principal growth factors for the FMD Pharma Serialization Label market is the intensification of global regulatory frameworks. Regulatory bodies such as the European Medicines Agency (EMA), the US Food and Drug Administration (FDA), and other national authorities have introduced stringent serialization requirements to combat counterfeit drugs and ensure supply chain integrity. These mandates necessitate the implementation of serialization solutions across pharmaceutical manufacturing, packaging, and distribution processes. As a result, pharmaceutical companies are investing heavily in serialization hardware, software, and comprehensive compliance services to meet these evolving standards. The need for end-to-end traceability and real-time data capture is also pushing the market toward innovative technologies, such as advanced labeling systems and integrated track-and-trace solutions.




    Another significant driver is the rising incidence of counterfeit medicines, which poses severe risks to patient health and brand reputation. The World Health Organization (WHO) estimates that up to 10% of medicines in low- and middle-income countries are substandard or falsified. This alarming statistic has catalyzed the adoption of serialization labels, which allow for unique identification and verification of each pharmaceutical product unit. Serialization not only enables manufacturers to trace products throughout the supply chain but also empowers end-users, such as pharmacies and healthcare providers, to authenticate medicines before dispensing. Consequently, the demand for serialization labels that integrate advanced technologies like 2D barcodes, RFID, and NFC is surging, further propelling market growth.




    Technological advancements form a crucial pillar supporting the expansion of the FMD Pharma Serialization Label market. The integration of cloud-based software, smart labeling hardware, and analytics-driven compliance management solutions is making serialization implementation more efficient and scalable. Pharmaceutical companies are increasingly leveraging automation, IoT, and blockchain to enhance data accuracy, minimize human error, and facilitate real-time monitoring of pharmaceutical products. Additionally, the rise of contract manufacturing organizations (CMOs) and the globalization of pharmaceutical supply chains have heightened the need for interoperable serialization systems that can seamlessly operate across different geographies and regulatory environments. These technological trends are expected to sustain the market’s upward momentum throughout the forecast period.




    From a regional perspective, Europe currently dominates the FMD Pharma Serialization Label market due to the early enforcement of the Falsified Medicines Directive and the presence of a mature pharmaceutical sector. However, North America is rapidly catching up, driven by the Drug Supply Chain Security Act (DSCSA) and increasing investments in serialization infrastructure. The Asia Pacific region is also emerging as a lucrative market, buoyed by expanding pharmaceutical manufacturing capabilities and growing regulatory awareness. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, supported by international collaborations and capacity-building initiatives. The interplay of regulatory compliance, technological innovation, and regional pharmaceutical dynamics is shaping the competitive landscape and future growth opportunities in this market.



    Solution Type Analysis



    The solution type segment of the FMD Pharma Serialization Label market encompasses software, hardware, and services, each playing a pivotal role in ensuring comprehensive serialization compliance. Software solutions are critical for managin

  7. v

    Global Fmd Vaccine buyers list and Global importers directory of Fmd Vaccine...

    • volza.com
    csv
    Updated Nov 11, 2025
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    Volza FZ LLC (2025). Global Fmd Vaccine buyers list and Global importers directory of Fmd Vaccine [Dataset]. https://www.volza.com/buyers-global/global-importers-buyers-of-fmd+vaccine-from-india
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 11, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value, 2014-01-01/2021-09-30
    Description

    9 Active Global Fmd Vaccine buyers list and Global Fmd Vaccine importers directory compiled from actual Global import shipments of Fmd Vaccine.

  8. D

    FMD Serialization Aggregation Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). FMD Serialization Aggregation Market Research Report 2033 [Dataset]. https://dataintelo.com/report/fmd-serialization-aggregation-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    FMD Serialization Aggregation Market Outlook



    According to our latest research, the FMD Serialization Aggregation market size reached USD 1.92 billion in 2024, reflecting the increasing global emphasis on pharmaceutical supply chain integrity and regulatory compliance. The market is projected to grow at a robust CAGR of 8.7% from 2025 to 2033, with the total market value expected to reach USD 4.16 billion by 2033. This growth is primarily driven by stringent regulations such as the Falsified Medicines Directive (FMD) and a surging demand for end-to-end traceability in the pharmaceutical industry worldwide.




    The primary growth factor for the FMD Serialization Aggregation market is the intensification of global regulatory frameworks aimed at combating counterfeit drugs and enhancing patient safety. The European Union’s FMD, along with similar mandates in the United States, China, and other regions, has compelled pharmaceutical manufacturers, contract manufacturing organizations, and supply chain partners to implement serialization and aggregation solutions. This regulatory push is not only ensuring compliance but also fostering innovation in serialization technologies, driving adoption across both developed and emerging markets. Additionally, as governments continue to tighten regulations, companies are investing heavily in upgrading their serialization and aggregation infrastructure, further fueling market expansion.




    Another significant growth driver is the increasing complexity and globalization of pharmaceutical supply chains. As pharmaceutical products traverse multiple borders and pass through a variety of distribution channels, the risk of counterfeit infiltration rises. Serialization and aggregation solutions provide a robust mechanism for tracking and authenticating products at every stage, thereby reducing the risk of fraud, theft, and diversion. The integration of advanced technologies, such as RFID and 2D data matrix codes, with serialization systems is enhancing the accuracy and efficiency of product tracking, making these solutions indispensable for pharmaceutical companies seeking to safeguard their brand reputation and ensure patient safety.




    The rapid advancement of digital technologies and the shift towards Industry 4.0 principles are further propelling the FMD Serialization Aggregation market. Pharmaceutical companies are increasingly leveraging cloud-based platforms, artificial intelligence, and blockchain to enhance the transparency and security of their serialization and aggregation processes. These innovations are not only improving operational efficiency but also enabling real-time data sharing and analytics, which are critical for ensuring compliance and responding quickly to regulatory audits or recalls. As the industry continues to embrace digital transformation, the demand for integrated serialization and aggregation solutions is expected to surge, opening new avenues for market growth.




    From a regional perspective, Europe currently dominates the FMD Serialization Aggregation market due to the early and comprehensive implementation of the Falsified Medicines Directive. However, North America and Asia Pacific are rapidly catching up, driven by stringent regulatory mandates and the expansion of pharmaceutical manufacturing capacities. Emerging markets in Asia Pacific, in particular, are witnessing accelerated adoption of serialization technologies as governments and industry stakeholders prioritize the fight against counterfeit medicines. The growing focus on patient safety, coupled with increasing investments in healthcare infrastructure, is expected to further boost market growth across all major regions.



    Solution Type Analysis



    The Solution Type segment of the FMD Serialization Aggregation market encompasses software, hardware, and services, each playing a pivotal role in enabling end-to-end traceability and compliance. Software solutions form the backbone of serialization and aggregation systems, providing the necessary platforms for data management, integration, and reporting. These solutions are increasingly being developed with user-friendly interfaces and advanced analytics capabilities, enabling pharmaceutical companies to monitor their supply chains in real-time and ensure regulatory compliance. The ongoing shift towards cloud-based and SaaS models is further enhancing the scalability and flexibility of serialization software, allowing organizations to adapt quickly to changin

  9. e

    Fmd Intl Limited Export Import Data | Eximpedia

    • eximpedia.app
    Updated Nov 6, 2025
    + more versions
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    (2025). Fmd Intl Limited Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/fmd-intl-limited/10200313
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    Dataset updated
    Nov 6, 2025
    Description

    Fmd Intl Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  10. First Marblehead Corp Alternative Data Analytics

    • meyka.com
    Updated Sep 29, 2025
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    Meyka (2025). First Marblehead Corp Alternative Data Analytics [Dataset]. https://meyka.com/stock/FMD/alt-data/
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    Dataset updated
    Sep 29, 2025
    Dataset provided by
    Description

    Non-traditional data signals from social media and employment platforms for FMD stock analysis

  11. s

    Bicycle Import Data | Fmd Tech Co Limited

    • seair.co.in
    Updated Sep 26, 2025
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    Seair Exim Solutions (2025). Bicycle Import Data | Fmd Tech Co Limited [Dataset]. https://www.seair.co.in/us-import/product-bicycle/i-fmd-tech-co-limited.aspx
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    .text/.csv/.xml/.xls/.binAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    Seair Exim Solutions
    Description

    Explore detailed Bicycle import data of Fmd Tech Co Limited in the USA—product details, price, quantity, origin countries, and US ports.

  12. Temporal data

    • figshare.com
    application/gzip
    Updated Aug 15, 2022
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    Jose Herrera; Matthew Ferrari; Katriona Shea; Michael J. Tildesley (2022). Temporal data [Dataset]. http://doi.org/10.6084/m9.figshare.20486511.v1
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    application/gzipAvailable download formats
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Jose Herrera; Matthew Ferrari; Katriona Shea; Michael J. Tildesley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Monthly count of farms infected with FMD from 2007 to 2012 in Turkey

  13. e

    Fmd Fashion Centre Export Import Data | Eximpedia

    • eximpedia.app
    Updated Sep 30, 2025
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    (2025). Fmd Fashion Centre Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/fmd-fashion-centre/90667334
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    Dataset updated
    Sep 30, 2025
    Description

    Fmd Fashion Centre Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  14. DCI5 - Data Copy Indicator - FMD

    • petrocurve.com
    Updated Jun 15, 2025
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    Schlumberger (2025). DCI5 - Data Copy Indicator - FMD [Dataset]. https://petrocurve.com/curve/dci5-schlumberger
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    Dataset updated
    Jun 15, 2025
    Dataset provided by
    SLBhttp://slb.com/
    Authors
    Schlumberger
    Description

    Data Copy Indicator - FMD curve from Schlumberger. Measured in unitless.

  15. f

    Data from: Review of epidemiological risk models for foot-and-mouth disease:...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Dec 13, 2018
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    Abatih, Emmanuel; De Clercq, Kris; King, Donald P.; Saegerman, Claude; Dal Pozzo, Fabiana; Marichatou, Hamani; Thys, Eric; Kouato, Bachir Souley (2018). Review of epidemiological risk models for foot-and-mouth disease: Implications for prevention strategies with a focus on Africa [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000630278
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    Dataset updated
    Dec 13, 2018
    Authors
    Abatih, Emmanuel; De Clercq, Kris; King, Donald P.; Saegerman, Claude; Dal Pozzo, Fabiana; Marichatou, Hamani; Thys, Eric; Kouato, Bachir Souley
    Description

    Foot-and-mouth disease (FMD) is a highly infectious transboundary disease that affects domestic and wild cloven-hoofed animal species. The aim of this review was to identify and critically assess some modelling techniques for FMD that are well supported by scientific evidence from the literature with a focus on their use in African countries where the disease remains enzootic. In particular, this study attempted to provide a synopsis of the relative strengths and weaknesses of these models and their relevance to FMD prevention policies. A literature search was conducted to identify quantitative and qualitative risk assessments for FMD, including studies that describe FMD risk factor modelling and spatiotemporal analysis. A description of retrieved papers and a critical assessment of the modelling methods, main findings and their limitations were performed. Different types of models have been used depending on the purpose of the study and the nature of available data. The most frequently identified factors associated with the risk of FMD occurrence were the movement (especially uncontrolled animal movement) and the mixing of animals around water and grazing points. Based on the qualitative and quantitative risk assessment studies, the critical pathway analysis showed that the overall risk of FMDV entering a given country is low. However, in some cases, this risk can be elevated, especially when illegal importation of meat and the movement of terrestrial livestock are involved. Depending on the approach used, these studies highlight shortcomings associated with the application of models and the lack of reliable data from endemic settings. Therefore, the development and application of specific models for use in FMD endemic countries including Africa is encouraged.

  16. Data from: Deciphering foot-and-mouth disease (FMD) virus–host tropism

    • tandf.figshare.com
    docx
    Updated Feb 15, 2024
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    Indra Singh; Rajib Deb; Sanjeev Kumar; Rani Singh; Jerome Andonissamy; Shuchi Smita; Gyanendra Singh Sengar; Rajiv Kumar; Krishna Kumar Ojha; Nihar Ranjan Sahoo; S Murali; Rejani Chandran; Radhakrishnan V Nair; S B Lal; Dwijesh Chandra Mishra; Anil Rai (2024). Deciphering foot-and-mouth disease (FMD) virus–host tropism [Dataset]. http://doi.org/10.6084/m9.figshare.7604708.v3
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    docxAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Indra Singh; Rajib Deb; Sanjeev Kumar; Rani Singh; Jerome Andonissamy; Shuchi Smita; Gyanendra Singh Sengar; Rajiv Kumar; Krishna Kumar Ojha; Nihar Ranjan Sahoo; S Murali; Rejani Chandran; Radhakrishnan V Nair; S B Lal; Dwijesh Chandra Mishra; Anil Rai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The pattern of interactions between foot and mouth disease (FMD) viral protein 1 (VP1) with susceptible and resistant host integrins were deciphered. The putative effect of site-directed mutation on alteration of interaction is illustrated using predicted and validated 3D structures of VP1, mutated VP1 and integrins of Bos taurus, Gallus and Canis. Strong interactions were observed between FMDV-VP1 protein motifs at conserved tripeptide, Arg-Gly-Asp 143RGD145 and at domain 676SIPLQ680 in alpha-integrin of B. taurus. Notably, in-silico site-directed mutation in FMDV-VP1 protein led to complete loss of interaction between FMD-VP1 protein and B. taurus integrin, which confirmed the active role of arginine-glycine-aspartic acid (RGD) domain. Interestingly, in-vitro analysis demonstrates the persistence of the putative tropism site ‘SIPLQ’ in different cattle breeds undertaken. Thus, the attempt to decipher the tropism of FMDV at host receptor level interaction might be useful for future FMD control strategies through development of mimetic marker vaccines and/or host receptor manipulations. Communicated by Ramaswamy H. Sarma

  17. Results of evaluation experiment (performance comparison for FMD-VS).

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Kayoko Takatsuka; Satoshi Sekiguchi; Hisaaki Yamaba; Kentaro Aburada; Masayuki Mukunoki; Naonobu Okazaki (2023). Results of evaluation experiment (performance comparison for FMD-VS). [Dataset]. http://doi.org/10.1371/journal.pone.0237961.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kayoko Takatsuka; Satoshi Sekiguchi; Hisaaki Yamaba; Kentaro Aburada; Masayuki Mukunoki; Naonobu Okazaki
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Results of evaluation experiment (performance comparison for FMD-VS).

  18. U

    United States Imports: cif: Glass Cons Art n.e.s.o.i.;Ld Wndws;Mltclr, Fmd...

    • ceicdata.com
    Updated Feb 5, 2022
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    CEICdata.com (2022). United States Imports: cif: Glass Cons Art n.e.s.o.i.;Ld Wndws;Mltclr, Fmd Glass Artcls [Dataset]. https://www.ceicdata.com/en/united-states/imports-by-commodity-6-digit-hs-code-hs-66-to-78/imports-cif-glass-cons-art-nesoild-wndwsmltclr-fmd-glass-artcls
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    Dataset updated
    Feb 5, 2022
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Description

    United States Imports: cif: Glass Cons Art n.e.s.o.i.;Ld Wndws;Mltclr, Fmd Glass Artcls data was reported at 7.604 USD mn in Feb 2025. This records an increase from the previous number of 5.976 USD mn for Jan 2025. United States Imports: cif: Glass Cons Art n.e.s.o.i.;Ld Wndws;Mltclr, Fmd Glass Artcls data is updated monthly, averaging 4.575 USD mn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 12.734 USD mn in May 2019 and a record low of 2.160 USD mn in May 2002. United States Imports: cif: Glass Cons Art n.e.s.o.i.;Ld Wndws;Mltclr, Fmd Glass Artcls data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA134: Imports: by Commodity: 6 Digit HS Code: HS 66 to 78.

  19. d

    Data from: An antigen panel to assess the regional relevance of foot and...

    • datadryad.org
    • search.dataone.org
    • +1more
    zip
    Updated May 15, 2025
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    David Paton; Ginette Wilsden; Clare Browning; Efrem Foglia; Antonello Di Nardo; Nick Knowles; Jemma Wadsworth; Simon Gubbins; Ethel Chitsungo; Cisse Boukary; Gelagay Ayelet; Charles Bodjo; Nick Nwankpa; Emiliana Brocchi; Santina Grazioli; Anna Ludi; Donald King (2025). An antigen panel to assess the regional relevance of foot and mouth disease vaccines [Dataset]. http://doi.org/10.5061/dryad.z8w9ghxnj
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    Dryad
    Authors
    David Paton; Ginette Wilsden; Clare Browning; Efrem Foglia; Antonello Di Nardo; Nick Knowles; Jemma Wadsworth; Simon Gubbins; Ethel Chitsungo; Cisse Boukary; Gelagay Ayelet; Charles Bodjo; Nick Nwankpa; Emiliana Brocchi; Santina Grazioli; Anna Ludi; Donald King
    Time period covered
    Jul 3, 2024
    Description

    Data from: An antigen panel to assess the regional relevance of foot and mouth disease vaccines

    Description

    Supplementary Data 1 (SD1_mAb_info.xlsx file)

    Characteristics of foot-and-mouth disease virus (FMDV) monoclonal antibody (mAb) used for antigenic typing - Murine mAbs used for antigenic typing had been prepared over many years at the WOAH FMD Reference Laboratory in Brescia, Italy (Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini") and included both neutralising and non-neutralising Mabs. mAbs were raised against:

    1. FMDV serotype O O/Switzerland/1965 or O Manisa lineages (O MAN & O-1 and O UK 2001 spreadsheets);
    2. different FMDV serotype A strains (Various Type A spreadsheet);
    3. FMDV serotype SAT 1 SAT1/BOT 1/68 lineage (SAT1 BOT 1-68 spreadsheet);
    4. FMDV serotype SAT 2 SAT2/ZIM/5/81 lineage (SAT2 ZIM 5-81 spreadsheet)

    Supplementary Data 2 (SD2_pAb_info.xlsx file)

    **Characteristics of FMDV polyclonal...

  20. v

    Global export data of Fmd Vaccine And HSN Code 30023000

    • volza.com
    csv
    Updated Jul 11, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Fmd Vaccine And HSN Code 30023000 [Dataset]. https://www.volza.com/exports-global/global-export-data-of-fmd+vaccine-and-hscode-30023000
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    226 Global export shipment records of Fmd Vaccine And HSN Code 30023000 with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Share
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Email
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Link copied
Close
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Volza FZ LLC (2025). Global exporters importers-export import data of Fmd vaccine [Dataset]. https://www.volza.com/p/fmd-vaccine/

Global exporters importers-export import data of Fmd vaccine

Explore at:
csvAvailable download formats
Dataset updated
Jan 12, 2025
Dataset authored and provided by
Volza FZ LLC
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Variables measured
Count of exporters, Count of importers, Count of shipments, Sum of export import value
Description

694 Global exporters importers export import shipment records of Fmd vaccine with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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