Beatriz Martinez Lopez, PhD; MPVM

Associate Professor

  • 980 Citations
  • 16 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
Classical Swine Fever Medicine & Life Sciences
Sus scrofa Medicine & Life Sciences
Disease Outbreaks Medicine & Life Sciences

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Research Output 2007 2019

  • 980 Citations
  • 16 h-Index
  • 83 Article
  • 1 Comment/debate
  • 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
hog cholera
Peru
socioeconomic factors
Vaccination

Risk factors for bacterial zoonotic pathogens in acutely febrile patients in Mpumalanga Province, South Africa

Berrian, A. M., Martinez Lopez, B., Quan, V., Conrad, P. A., van Rooyen, J., Simpson, G. J. G., Frean, J., Weyer, J., Rossouw, J., Knobel, D. & Blumberg, L., Jan 1 2019, In : Zoonoses and Public Health.

Research output: Contribution to journalArticle

Zoonoses
South Africa
fever
Fever
risk factors

Slowdown in the Decline of Tuberculosis Rates in California, 2000-2016

Medel-Herrero, A. & Martinez Lopez, B., Feb 1 2019, In : American Journal of Public Health. 109, 2, p. 306-312 7 p.

Research output: Contribution to journalArticle

Tuberculosis
Economics
Minority Groups
Ethnic Groups
Hospitalization

Small-scale and backyard livestock owners needs assessment in the western United States

De Andrade E Pires, A., Peterson, A., Baron, J. N., Adams, R., Martinez Lopez, B. & Moore, D., Feb 1 2019, In : PLoS ONE. 14, 2, e0212372.

Research output: Contribution to journalArticle

Open Access
needs assessment
Needs Assessment
Western United States
Livestock
Agriculture

Use of social network analysis to improve the understanding of social behaviour in dairy cattle and its impact on disease transmission

de Freslon, I., Martinez Lopez, B., Belkhiria, J., Strappini, A. & Monti, G., Jan 1 2019, In : Applied Animal Behaviour Science.

Research output: Contribution to journalArticle

social networks
Social Behavior
disease transmission
social behavior
Social Support