@article{leitner_blum_rivas_2015, title={Visualizing the indefinable: Three-dimensional complexity of 'infectious diseases'}, volume={10}, number={4}, journal={PLoS One}, author={Leitner, G. and Blum, S. E. and Rivas, A. L.}, year={2015} }
 @article{schwarz_rivas_konig_diesterbeck_schlez_zschock_wolter_czerny_2013, title={CD2/CD21 index: A new marker to evaluate udder health in dairy cows}, volume={96}, number={8}, journal={Journal of Dairy Science}, author={Schwarz, D. and Rivas, A. L. and Konig, S. and Diesterbeck, U. S. and Schlez, K. and Zschock, M. and Wolter, W. and Czerny, C. P.}, year={2013}, pages={5106–5119} }
 @article{rivas_jankowski_piccinini_leitner_schwarz_anderson_fair_hoogesteijn_wolter_chaffer_et al._2013, title={Feedback-based, system-level properties of vertebrate-microbial interactions}, volume={8}, number={2}, journal={PLoS One}, author={Rivas, A. L. and Jankowski, M. D. and Piccinini, R. and Leitner, G. and Schwarz, D. and Anderson, K. L. and Fair, J. M. and Hoogesteijn, A. L. and Wolter, W. and Chaffer, M. and et al.}, year={2013} }
 @article{rivas_fasina_hoogesteyn_konah_febles_perkins_hyman_fair_hittner_smith_2012, title={Connecting Network Properties of Rapidly Disseminating Epizoonotics}, volume={7}, number={6}, journal={PLoS One}, author={Rivas, A. L. and Fasina, F. O. and Hoogesteyn, A. L. and Konah, S. N. and Febles, J. L. and Perkins, D. J. and Hyman, J. M. and Fair, J. M. and Hittner, J. B. and Smith, S. D.}, year={2012} }
 @article{rivas_fasina_hammond_smith_hoogesteijn_febles_hittner_perkins_2012, title={Epidemic protection zones: Centred on cases or based on connectivity?}, volume={59}, number={5}, journal={Transboundary and Emerging Diseases}, author={Rivas, A. L. and Fasina, F. O. and Hammond, J. M. and Smith, S. D. and Hoogesteijn, A. L. and Febles, J. L. and Hittner, J. B. and Perkins, D. J.}, year={2012}, pages={464–469} }
 @article{fasina_rivas_bisschop_stegeman_hernandez_2011, title={Identification of risk factors associated with highly pathogenic avian influenza H5N1 virus infection in poultry farms, in Nigeria during the epidemic of 2006-2007}, volume={98}, number={2-3}, journal={Preventive Veterinary Medicine}, author={Fasina, F. O. and Rivas, A. L. and Bisschop, S. P. R. and Stegeman, A. J. and Hernandez, J. A.}, year={2011}, pages={204–208} }
 @article{rivas_chowell_schwager_fasina_hoogesteijn_smith_bisschop_anderson_hyman_2010, title={Lessons from Nigeria: the role of roads in the geo-temporal progression of avian influenza (H5N1) virus}, volume={138}, ISSN={["0950-2688"]}, DOI={10.1017/S0950268809990495}, abstractNote={SUMMARY}, number={2}, journal={EPIDEMIOLOGY AND INFECTION}, author={Rivas, A. L. and Chowell, G. and Schwager, S. J. and Fasina, F. O. and Hoogesteijn, A. L. and Smith, S. D. and Bisschop, S. P. R. and Anderson, K. L. and Hyman, J. M.}, year={2010}, month={Feb}, pages={192–198} }
 @article{rivas_anderson_lyman_smith_schwager_2008, title={Proof of concept of a method that assesses the spread of microbial infections with spatially explicit and non-spatially explicit data}, volume={7}, ISSN={["1476-072X"]}, DOI={10.1186/1476-072x-7-58}, abstractNote={A method that assesses bacterial spatial dissemination was explored. It measures microbial genotypes (defined by electrophoretic patterns or EP), host, location (farm), interfarm Euclidean distance, and time. Its proof of concept (construct and internal validity) was evaluated using a dataset that included 113 Staphylococcus aureus EPs from 1126 bovine milk isolates collected on 23 farms between 1988 and 2005.Construct validity was assessed by comparing results based on the interfarm Euclidean distance (a spatially explicit measure) and those produced by the (non-spatial) interfarm number of isolates reporting the same EP. The distance associated with EP spread correlated with the interfarm number of isolates/EP (r = .59, P < 0.02). Internal validity was estimated by comparing results obtained with different versions of the same indices. Concordance was observed between: (a) EP distance (estimated microbial dispersal over space) and EP speed (distance/year, r = .72, P < 0.01), and (b) the interfarm number of isolates/EP (when measured on the basis of non-repeated cow testing) and the same measure as expressed by repeated testing of the same animals (r = .87, P < 0.01). Three EPs (2.6% of all EPs) appeared to be super-spreaders: they were found in 26.75% of all isolates. Various indices differentiated local from spatially disseminated infections and, within the local type, infections suspected to be farm-related were distinguished from cow-related ones.Findings supported both construct and internal validity. Because 3 EPs explained 12 times more isolates than expected and at least twice as many isolates as other EPs did, false negative results associated with the remaining EPs (those erroneously identified as lacking spatial dispersal when, in fact, they disseminated spatially), if they occurred, seemed to have negligible effects. Spatial analysis of laboratory data may support disease surveillance systems by generating hypotheses on microbial dispersal ability.}, journal={INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS}, author={Rivas, Ariel L. and Anderson, Kevin L. and Lyman, Roberta and Smith, Stephen D. and Schwager, Steven J.}, year={2008}, month={Nov} }
 @article{rivas_schwager_gonzalez_quimby_anderson_2007, title={Multifactorial relationships between intramammary invasion by Staphylococcus aureus and bovine leukocyte markers}, volume={71}, number={2}, journal={Canadian Journal of Veterinary Research}, author={Rivas, A. L. and Schwager, S. J. and Gonzalez, R. N. and Quimby, F. W. and Anderson, K. L.}, year={2007}, pages={135–144} }