Beatriz Martinez Lopez, PhD; MPVM

Associate Professor

  • 1207 Citations
  • 18 h-Index
20072020

Research output per year

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Personal profile

Research interests

My research focus on the development and implementation of novel epidemiological methods to gain knowledge about the evolution, spread and impact of infectious diseases and to support health policies.

I have been primarily working on epidemiological modeling and risk assessment for the evaluation of the potential introduction and/or spread of diseases affecting domestic and/or wild animal populations. I am also interesting in the use of quantitative methods related with spatial epidemiology, network analysis and graph theory and the use of Big Data analytics and Bayesian modeling to identify individuals, areas and time periods at higher risk of becoming infected and to detect the most important factors contributing to such risk. Currently I am working in the integration of these and other methods (i.e. Big Data analytics, data mining, time-series analysis) in operational, user-friendly, web-based, platforms with the aim to provide a near real-time monitoring and early warning systems for better prevent and control transboundary, emerging and re-emerging infectious diseases at a local and global scale.

Some of the diseases I am currently working with are African swine fever, classical swine fever, foot-and-mouth disease, African horse sickness, bluetongue, avian influenza, West Nile, Rift Valley Fever, bovine tuberculosis and Shrimp and Salmon diseases.

Research interests

My research focus on the development and implementation of novel epidemiological methods to gain knowledge about the evolution, spread and impact of infectious diseases and to support health policies.

I have been primarily working on epidemiological modeling and risk assessment for the evaluation of the potential introduction and/or spread of diseases affecting domestic and/or wild animal populations. I am also interesting in the use of quantitative methods related with spatial epidemiology, network analysis and graph theory and the use of Big Data analytics and Bayesian modeling to identify individuals, areas and time periods at higher risk of becoming infected and to detect the most important factors contributing to such risk. Currently I am working in the integration of these and other methods (i.e. Big Data analytics, data mining, time-series analysis) in operational, user-friendly, web-based, platforms with the aim to provide a near real-time monitoring and early warning systems for better prevent and control transboundary, emerging and re-emerging infectious diseases at a local and global scale.

Some of the diseases I am currently working with are African swine fever, classical swine fever, foot-and-mouth disease, African horse sickness, bluetongue, avian influenza, West Nile, Rift Valley Fever, bovine tuberculosis and Shrimp and Salmon diseases.

Keywords

  • SF Animal culture
  • Epidemiology
  • Risk assessment
  • Modeling
  • Spatial epidemiology
  • Network analysis
  • Infectious diseases
  • Bayesian methods
  • Spatial analysis
  • statistical models
  • swine diseases
  • livestock health
  • Big Data
  • surveillance research
  • preventive veterinary medicine
  • international programs
  • early warning systems

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Research Output

  • 1207 Citations
  • 18 h-Index
  • 88 Article
  • 2 Review article
  • 1 Comment/debate
  • 1 Editorial

Dynamic network of interactions in the wildlife-livestock interface in mediterranean spain: An epidemiological point of view

Triguero-Ocaña, R., Martínez-López, B., Vicente, J., Barasona, J. A., Martínez-Guijosa, J. & Acevedo, P., Feb 2020, In : Pathogens. 9, 2, 120.

Research output: Contribution to journalArticle

Open Access
  • Synergistic China–US Ecological Research is Essential for Global Emerging Infectious Disease Preparedness

    Smiley Evans, T., Shi, Z., Boots, M., Liu, W., Olival, K. J., Xiao, X., Vandewoude, S., Brown, H., Chen, J. L., Civitello, D. J., Escobar, L., Grohn, Y., Li, H., Lips, K., Liu, Q., Lu, J., Martínez-López, B., Shi, J., Shi, X., Xu, B. & 3 others, Yuan, L., Zhu, G. & Getz, W. M., Jan 1 2020, (Accepted/In press) In : EcoHealth.

    Research output: Contribution to journalReview article

    Open Access
  • Validation of environmental DNA sampling for determination of Ceratonova shasta (Cnidaria: Myxozoa) distribution in Plumas National Forest, CA

    Richey, C. A., Kenelty, K. V., Hopkins, K. V. S., Stevens, B. N., Martínez-López, B., Hallett, S. L., Atkinson, S. D., Bartholomew, J. L. & Soto, E., Jan 1 2020, (Accepted/In press) In : Parasitology Research.

    Research output: Contribution to journalArticle

  • Application of exponential random graph models to determine nomadic herders’ movements in Senegal

    Belkhiria, J., Lo, M. M., Sow, F., Martinez Lopez, B. & Chevalier, V., Jan 1 2019, In : Transboundary and Emerging Diseases.

    Research output: Contribution to journalArticle

  • 1 Scopus citations