• 883 Citations
  • 15 h-Index
20072019
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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

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

African Swine Fever Medicine & Life Sciences
Spain Medicine & Life Sciences
African swine fever Agriculture & Biology
Swine Medicine & Life Sciences
swine Agriculture & Biology
Sus scrofa Medicine & Life Sciences
Classical Swine Fever Medicine & Life Sciences
Disease Outbreaks Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

  • 883 Citations
  • 15 h-Index
  • 79 Article
  • 1 Review article

Evaluation of the impact of live pig trade network, vaccination coverage and socio-economic factors in the classical swine fever eradication program in Peru

Gómez-Vázquez, J. P., Quevedo-Valle, M., Flores, U., Portilla Jarufe, K. & Martinez lopez, B., Jan 1 2019, In : Preventive veterinary medicine. 162, p. 29-37 9 p.

Research output: Contribution to journalArticle

Classical Swine Fever
Spatio-Temporal Analysis
hog cholera
Peru
socioeconomic factors
1 Citations

A community-based One Health education program for disease risk mitigation at the human-animal interface

Berrian, A. M., Smith, M., van Rooyen, J., Martinez lopez, B., Plank, M. N., Smith, W. A. & Conrad, P. A., Jun 1 2018, In : One Health. 5, p. 9-20 12 p.

Research output: Contribution to journalArticle

Education
Animal Diseases
Communicable Diseases
Animal Housing
Endemic Diseases

An advection-deposition-survival model to assess the risk of introduction of vector-borne diseases through the wind: Application to bluetongue outbreaks in Spain

Fernández-Carrión, E., Ivorra, B., Ramos, Á. M., Martinez lopez, B., Aguilar-Vega, C. & Sánchez-Vizcaíno, J. M., Mar 1 2018, In : PLoS One. 13, 3, e0194573.

Research output: Contribution to journalArticle

Bluetongue
Disease Vectors
vector-borne diseases
bluetongue
Advection

A stochastic network-based model to simulate the spread of pancreas disease (PD) in the Norwegian salmon industry based on the observed vessel movements and seaway distance between marine farms

Amirpour Haredasht, S., Tavornpanich, S., Jansen, M. D., Lyngstad, T. M., Yatabe, T., Brun, E. & Martinez lopez, B., Jan 1 2018, (Accepted/In press) In : Preventive Veterinary Medicine.

Research output: Contribution to journalArticle

pancreas disease
Salmon
salmon
Pancreas
Industry

Can biosecurity and local network properties predict pathogen species richness in the salmonid industry?

Yatabe, T., More, S. J., Geoghegan, F., McManus, C., Hill, A. E. & Martinez lopez, B., Jan 1 2018, In : PLoS One. 13, 1, e0191680.

Research output: Contribution to journalArticle

biosecurity
Pathogens
Farms
Industry
industry